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DTSTART;TZID=America/Toronto:20200921T180000
DTEND;TZID=America/Toronto:20200924T210000
DTSTAMP:20260423T075643
CREATED:20210430T023715Z
LAST-MODIFIED:20210430T235933Z
UID:10000334-1600711200-1600981200@www.ieeetoronto.ca
SUMMARY:The Digital Utility - From AI\, AR\, MR to Blockchain platforms to support P2P
DESCRIPTION:This event has been cancelled. \nCertificate for Course THE DIGITAL UTILITY\, Signed by the Instructor. 15 PDUs per course for 5 day course. Discounts available for students and for companies who register more than 5 people for the event. Email dustin.dunwell@ieee.org for details. \nCourse Timetable:\nStart time: 6:00 pm ET\nEnd time: 9:00 pm ET \nOn each of the following dates: \n\nMonday\, September 21\, 2020\nWednesday\, September 23\, 2020\nThursday\, September 24\, 2020\nMonday\, September 28\, 2020\nThursday\, October 1\, 2020\n\nSpeakers: Puica Nitu\, Afiny Akdemir \nLocation: Virtual – Zoom\nFull meeting details\, including passwords to join the meetings\, will be sent out to registrants before the event. \nOrganizer: IEEE Toronto \nContact: Satish Saini\, Dustin Dunwell \nRegister: https://meetings.vtools.ieee.org/m/238130 \nCourse Fees: \n\nNon-IEEE Members: $250 CAD\nActive Members: $220 CAD\nStudent Members: $50 CAD\nDiscounts available for students and for companies who register more than 5 people for the event.\n\nCourse Content: The Digital utility encompasses technological end-to-end digitization with emphasis on the consumer\, on the flexibility and integration of renewable technologies while offering an increased portfolio of market services. This is the first course of 4 e-learning courses. Each course runs 5 evenings\, for 3 hours each. \nThe first course presents the integration of new technologies in light of regulatory changes. The course explores the penetration of renewable energy resources facilitated by the operating flexibility brought by power electronics. Interoperability aspects and industry standards are discussed\, with focus on the consumer centric paradigm of Transactive Energy. \nThis course defines AI followed by VR\, AR and MR as they apply to power systems. Practical examples illustrate each methodology. Special attention is given to advanced AI applications with Machine Learning for load and solar energy forecasts. The White House call-to-action of a decade ago allows utilities today to utilize energy platforms and APIs to standardize reporting\, optimize consumption and leverage the much needed open exchange of solar data. \nThe course introduces the Blockchain as a new line of defense against cyber threats and its increasing application to Peer-to-Peer transactions to stimulate green energy trading and also trading Renewable Certificates or Credits. \nThe course provides industry examples from utilities and agencies from Canada\, US\, EU and Southeast Asia. \nCourse Outline: \n\nIntroduction: Historical Evolution of the inverter-based technologies\nPerformance Requirements: Power System Controls Regulatory Agreements NERC\, EU ENTSO\nThe Role of the ISO\nDemonstration of Essential Reliability Services – Control algorithms\nPower System Stability in an Inverter dominated Grid\nTRANSACTIVE ENERGY – THE PROSUMER\nP2P Energy Trading\nCollaboration between Market Entities and Government Agencies Cloud Services for Utilities – NAESB Green Button\, Orange Button\nARTIFICIAL INTELLIGENCE -AI and Artificial Neural Networks- ANN\nAI and ANN Applications in Power Systems: Machine Learning\nTraining the algorithm for Short Term Load Forecast and Solar Energy Forecasts\nIOT – Internet of Things; A brief look into Interoperability INTERNET OF THINGS WORLD FORUM REFERENCE MODEL\nAR- AUGMENTED REALITY\nVR- VIRTUAL REALITY\nMR- MIXED REALITY and AR-Augmented Reality\nIEDs- Intelligent Electronic Devices and SENSORS IEDs – Examples and Functionality\nBLOCKCHAIN Security Certification ; Vulnerability Blockchain Applications in the Power Industry- P2P Trading\nTrading Renewable Certificates\nEmission Credits\nClass Test 45 min and Discussions for Course Certification\n\nThe target audience for this course includes practitioners at all levels in the organization in companies in the power industry\, LDCs\, regulatory agencies and students in engineering and economics. The course would benefit law firms supporting renewable investments\, and CleanTech groups. \nBiographies: \nPuica Nitu\, M.Sc. P.Eng.\, SM IEEE\, CIGRE \n\n\n\nPuica Nitu is a Utility Executive with extensive global experience in power system operation and planning\, energy markets\, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex utility projects in operations (EMS\, energy derivatives\, reliability studies and policy) and conducted long term planning studies to support planning and operational reliability standards. \nSpecializing in Smart Grids\, Renewable generation\, Reliability\, Financial Engineering\, Energy Markets and Power System Integration\, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. Most recently\, Puica was the Operations Expert for a regulatory assessment of the Oman Control Centre. \nWith over 25 years with Ontario Hydro and its successor company Ontario Power Generation (Revenue $1.2 Billion CAD\, I/S 16 GW)\, she served as Canadian representative in CIGRE\, NSERC (Natural Sciences and Engineering Research Council of Canada)\, Senior Member IEEE and Elsevier since 1990. \nPuica Nitu chaired international conferences\, lectured on 4 continents\, published a book on Reliability and Security of Nuclear Power Plants\, papers in IEEE\, PICA\, CIGRE and PMAPS and published in the Ontario Journal for Public Policy\, Canada. She delivered seminars to OPG\, seminars organized by the Power Engineering Society\, IEEE and seminars to power companies worldwide\, including Thailand\, Saudi Arabia\, Oman\, Malaysia\, Indonesia\, Portugal\, South Africa\, Japan\, Romania\, and Guyana.\nPuica Nitu is a registered member of the Professional Engineers of Ontario\, Canada. \nAfiny Akdemir \nAfiny Akdemir is the co-founder and Director of Research at Xesto Inc.  Xesto is a spatial computing AI startup based in Toronto\, Canada and it has been voted as “Toronto’s Best Tech Startup 2019” and was named one of the top 10 “Canadian AI Startups to Watch” as well as one of 6th International finalists for the VW Siemens Startup Challenge\, resulting in a partnership. \nAfiny Akdemir specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. \nAt Xesto\, Afiny leads projects that focus on applying cutting edge research at the intersection of spatial analysis\, differential geometry\, optimization of deep neural networks\, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. \nIn addition\, Afiny is a Ph.D candidate in the Mathematics department at UofT\, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. His ongoing projects examine the results of the regularity of the equation that governs optimal matching between two arbitrary sets in different dimensions. He is developing algorithmic applications of these results\, as well as studying these applications in the context of big data and statistical estimation where the parameter space is much larger than the number of observations. Afiny earned a Bachelor’s and MSc in Mathematics\, both at the University of Toronto. \nHaving presented at research seminars as well as instructing engineers on various levels\, Afiny has the ability to distill advanced theoretical concept to diverse audiences on all levels. \nIn addition to research\, Afiny is also an avid traveller and plays the violin.
URL:https://www.ieeetoronto.ca/event/the-digital-utility-from-ai-ar-mr-to-blockchain-platforms-to-support-p2p/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200922T180000
DTEND;TZID=America/Toronto:20200922T200000
DTSTAMP:20260423T075643
CREATED:20210430T023715Z
LAST-MODIFIED:20210501T000004Z
UID:10000335-1600797600-1600804800@www.ieeetoronto.ca
SUMMARY:Career Night Series: Which Direction Should I Take with My Career?
DESCRIPTION:On Tuesday\, September 22\, 2020 at 6:00 p.m.\, IEEE Toronto WIE will host the webinar “Career Night Series: Which Direction Should I Take with My Career?”. \nDay & Time: Tuesday\, September 22\, 2020\n6:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Ryerson Computer Science \nLocation: Virtual – Webinar \nContact: Wincy Li \nDescription: Not sure whether to pursue a PhD or Postdoc? Unclear about your career options? \nIn this webinar\, you will learn how to research the labour market so that you will be empowered with the tools and resources you need for career decision making and planning. \nIf you require any accessibility needs\, please contact Wincy at wincyli@ryerson.ca as soon as possible. \nRegister: Click here to visit the registration page.
URL:https://www.ieeetoronto.ca/event/career-night-series-which-direction-should-i-take-with-my-career/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200930T090000
DTEND;TZID=America/Toronto:20200930T100000
DTSTAMP:20260423T075643
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000054Z
UID:10000336-1601456400-1601460000@www.ieeetoronto.ca
SUMMARY:Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G
DESCRIPTION:On Wednesday\, September 30\, 2020 at 9:00 a.m.\, Shu Fu of Chongqing University\, China will present “Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G”. \nDay & Time: Wednesday\, September 20\, 2020\n9:00 a.m. – 10:00 a.m. \nSpeaker: Shu Fu of Chongqing University\, China \nOrganizer: IEEE Toronto Vehicular Technology Chapter \nLocation: Virtual – Zoom \nContact: Lian Zhao \nAbstract: Terrestrial-Satellite Network (TSN) is critical for achieving the integrated ground-air-space in 6G by its employment of flight equipments to increase space resource diversity. The employment of flight equipments and the equipped caching\, computing\, and communication (3C) resources lead to the problem of multi-resource co-allocation while challenging the objective of low delay\, large throughput\, and high energy efficiency. We focus on solving this problem in terms of the following aspects: firstly\, we will build a Nash bargaining model to implement the 3C resource allocation to maximize the user fairness guaranteed throughput. Secondly\, we will discuss about the optimization of the satellite-terrestrial allocation of the unmanned aerial vehicle (UAV) based relays. Moreover\, for the weak coverage areas of the ground gateways\, we will discuss the mobile co-allocation of multi-resource model for UAV-BS. Finally\, we will consider the heterogeneous traffic data characteristics to build co-allocation of multi-resource models\, based on which the low delay constrained inter-satellite relaying and routing mechanism and satellite-terrestrial store-and-forward mechanism with high energy efficiency will be achieved. \nRegister: Please visit https://events.vtools.ieee.org/m/240949 for the Zoom link. \nBiography: Shu Fu received the Ph.D. degree in communication and information system from the University of Electronic Science and Technology of China (UESTC)\, Chengdu\, China\, in 2016. He joined the College of Microelectronics and Communication Engineering\, Chongqing University\, Chongqing\, China\, as an Assistant Professor in 2016\, and has been an Associate Professor since 2018. \nHe had been awarded twice “National Scholarship” during his PhD’s study. He was a visiting PhD student at University of Waterloo in 2014-2015; and a visiting professor at Ryerson University\, Canada in 2019. He is a communication committee member of Chinese Institute of Electronics (CIE) Internet of Things Youth Specialist Group. He has published more than 30 IEEE journal papers and conference papers. His research interests include B5G network\, UAV network\, and terrestrial-satellite network\, etc.
URL:https://www.ieeetoronto.ca/event/collaborative-multi-resource-allocation-in-terrestrial-satellite-network-tsn-towards-6g/
CATEGORIES:Vehicular Technology
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T093000
DTEND;TZID=America/Toronto:20201006T212900
DTSTAMP:20260423T075643
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000243Z
UID:10000339-1601976600-1602019740@www.ieeetoronto.ca
SUMMARY:IEEE Day
DESCRIPTION:IEEE Toronto Section is inviting you to our VIRTUAL celebration of IEEE Day on Tuesday\, October 6\, 2020! \n\nDay & Time: Tuesday\, October 6\, 2020\n10:00 a.m. – 3:00 p.m. \nSpeakers: Dr. Rasheed Hussain\, Dr. Melike Erol-Kantarci\, Dr. Sahar Rahmani\, Dr. Sarath Chandar\, Dr. Haniyeh Yousefpour \nOrganizers: IEEE Toronto Section\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Dustin Dunwell\, Maryam Davoudpour \nRegister: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register. \nAgenda: \n\n\n\n\n10:00 a.m. – 11:00 a.m.\nPanel\nModerator: Dr. Fatima Hussain\nDr. Melike Erol-Kantarci\nDr. Sahar Rahmani\n\n\n11:00 a.m. – 12:00 p.m.\nKeynote\nDr. Rasheed Hussain\n\n\n12:00 p.m. – 1:00 p.m.\nBreak\n\n\n1:00 p.m. – 2:00 p.m.\nTech Talk\nDr. Sarath Chandat\, MILA\n\n\n2:00 p.m. – 3:00 p.m.\nTech Talk\nDr. Haniyeh Yousefpour\n\n\n\n\n  \nBiographies: \nRasheed Hussain\, PhD\, SMIEEE\nTopic: The Role of APIs in Connected and Autonomous Cars: A Case for Critical Applications \n\n\n\nRasheed Hussain is working as an Associate Professor and the Director of Institute of Information Security and Cyber-Physical Systems at Innopolis University\, Innopolis\, Russia. He is also the head of Networks and Blockchain Lab at Innopolis University and serves as an ACM Distinguished Speaker. \nHe is a senior member of IEEE\, member ACM\, and serves as an editorial board member for various journals including IEEE Access\, IEEE Internet Initiative\, Internet Technology Letters\, Wiley\, Cluster Computing\, Springer\, and serves as a reviewer for most of the IEEE transactions\, Springer and Elsevier Journals. He also serves as technical program committee member and chair of various conferences such as IEEE VTC\, IEEE VNC\, IEEE Globecom\, IEEE ICCVE\, IEEE ICC\, ICCCN\, and so on. He is a certified trainer for Instructional Skills Workshop (ISW) and a recipient of Netherland’s University Teaching Qualification (Basis Kwalificatie Onderwijs\, BKO). His research interests include Information Security and Privacy and particularly security and privacy issues in Vehicular Ad Hoc NETworks (VANETs)\, vehicular clouds\, and vehicular social networking\, applied cryptography\, Internet of Things\, Content-Centric Networking (CCN)\, cloud computing\, API security\, and blockchain. Currently he is working on the machine and deep learning for IoT security and API security. \n\nMelike Erol-Kantarci\, PhD.\, P.Eng.\, SMIEEE\nTopic: AI-enabled wireless networks: Opportunities and Challenges Towards 6G \n\n\n\nMelike Erol-Kantarci is Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks and associate professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She has over 140 peer-reviewed publications which have been cited over 5000 times and she has an h-index of 37. She is selected to the 2019 list of “N2Women: Stars in Computer Networking and Communications”. She has received the IEEE Communication Society Best Tutorial Paper Award and the Best Editor Award of the IEEE Multimedia Communications Technical Committee in 2017\, in addition to several other best paper awards. She is the co-editor of three books on smart grids and smart cities. She has delivered 40+ tutorials\, plenary talks and seminars around the globe. She has acted as the general chair or technical program chair for many international IEEE conferences and workshops. Most recently\, she is the TPC co-chair for IEEE CAMAD 2020\, a symposium co-chair for IEEE Globecom 2020\, and a track co-chair for IEEE SmartGridComm 2020. She is a senior member of the IEEE. Her main research interests are AI-enabled wireless networks\, 5G and 6G wireless communications\, smart grid\, electric vehicles\, Internet of things and wireless sensor networks. \n\nSahar Rahmani\, PhD\nWork Domain: Data scientist on digital/cyber crime detection \n\n\n\nDr. Sahar Rahmani is the Director of the Data Science team at the Global Cyber Security team at RBC. Her role involves leading a team of data scientists and machine learning engineers to provide AI solutions for detecting the ever-changing landscape of cyber/digital crime. She is responsible for implementing scalable real-time machine learning solutions for our stakeholders’ security related problems. Her team\, also brings insight and analytics to RBC’s controls\, and risks to help executives make data-driven strategic decisions. Her continuous encouragement and emphasizing on innovations in the application of AI/ML in digital risk\, resulted in solving business problems in effective ways\, creating multiple patents\, and presenting multiple conference talks. She has a PhD in Astrophysics from the Western University\, where she applied big data analysis and data science models on astronomical data.
URL:https://www.ieeetoronto.ca/event/ieee-day/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T170000
DTEND;TZID=America/Toronto:20201006T180000
DTSTAMP:20260423T075643
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000353Z
UID:10000338-1602003600-1602007200@www.ieeetoronto.ca
SUMMARY:PES Webinar: Developing the Utility Workforce of the Future - Managing Continuity and Change in Complex Times
DESCRIPTION:On Tuesday\, October 6\, 2020 at 5:00 p.m.\, Brad Cawn of Quanta Technology will present “PES Webinar: Developing the Utility Workforce of the Future – Managing Continuity and Change in Complex Times”. \nDay & Time: Tuesday\, October 6\, 2020\n5:00 p.m. – 6:00 p.m. \nSpeaker: Brad Cawn of Quanta Technology \nOrganizer: IEEE Toronto PES Chapter \nLocation: Virtual \nContact: Omid Alizadeh \nAbstract: Building the utility of the future requires developing a workforce of the future\, one that is responsive and agile in the face of continuous technological\, operational\, and cultural change. \nJoin us as we discuss how both the coronavirus and ongoing paradigmatic shifts are quickening the industry’s transformation process and how a multi-prong workforce development strategy can help your team and/organization keep pace with the speed of change. \nIn this webinar\, Brad Cawn\, a Senior Advisor with Quanta Technology\, will make a presentation on: \n\nthe current state of the utility industry technical workforce\, including the impact of recent and ongoing internal and external change factors.\npotential directions for the industry’s workforce and workforce development\ninitial key activities and comprehensive actions to develop and sustain utility workforces of the future\n\nRegister: Please visit https://events.vtools.ieee.org/m/240561 to register. \nBiography: Brad Cawn of Quanta Technology \nOversees Quanta Technology’s workforce development services\, including training and curriculum development\, workforce transformation\, retention and recruitment initiatives\, and other supports. \nAuthor of multiple books/manuscripts on teaching and learning\, including Ambitious Instruction (2020) and Ambitious Leadership (2016). \nTeaches creativity and innovation coursework at DePaul University in Chicago.
URL:https://www.ieeetoronto.ca/event/pes-webinar-developing-the-utility-workforce-of-the-future-managing-continuity-and-change-in-complex-times/
CATEGORIES:Power & Energy
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T180000
DTEND;TZID=America/Toronto:20201006T200000
DTSTAMP:20260423T075643
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000504Z
UID:10000337-1602007200-1602014400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing an Effective CV
DESCRIPTION:On Tuesday\, October 6\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing an Effective CV”. \nDay & Time: Tuesday\, October 6\, 2020\n6:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Not sure what the difference is between a resume and a CV? Unclear about how to structure your CV or what content to include? Join us for this webinar to learn how to construct an effective CV! \nIf you require any accessibility needs\, please contact Camara Chambers at c.chambers@ryerson.ca. \nRegister: Please visit https://lnkd.in/gBaMf9y to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-an-effective-cv/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201007T140000
DTEND;TZID=America/Toronto:20201007T150000
DTSTAMP:20260423T075643
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000701Z
UID:10000211-1602079200-1602082800@www.ieeetoronto.ca
SUMMARY:GPT-3 for Vision
DESCRIPTION:On Wednesday\, October 7\, 2020 at 2:00 p.m.\, Dr. Ehsan Kamalinejad will present “GPT-3 for Vision”. \nDay & Time: Wednesday\, October 7\, 2020\n2:00 p.m. – 3:00 p.m. \nSpeaker: Ehsan Kamalinejad\, PhD\nCo-Founder & CTO at Visual One\nAssociate Professor at Cal State East Bay University\nFormer Senior Machine Learning Scientist at Apple\nSan Francisco\, USA \nOrganizer: IEEE Toronto Signal Processing Chapter \nLocation: Virtual – Click here for the Google Meets link. \nContact: Mehrnaz Shokrollahi \nAbstract: Deep learning in computer vision (CV) has proved to be very effective in solving many problems in real world. However\, while the raw number of researches done in standard CV problems (such as ImageNet\nobject classification/detection) has exploded\, the measurable progress in these fields has slowed down. Additionally\, there are many real-world problems in vision that are simply not compatible with the current approaches. This demands a new wave of problem statements in CV (and a new set of benchmarks). This talk focuses on one important set of such problem statements. We propose that many real-world problems in vision are “event recognition” problems. We introduce a concrete definition for the event recognition problem. We will see that this definition of event detection prohibits large sample sets. Hence\, these events need to be recognize based on very few samples. We start by reviewing the current literature and we propose some promising directions for approaching this problem. At the end we show some demos from our recent effort on wrestling with this very challenging problem. Our solution can be best described by the “vision counterpart of GPT-3 few shot learner”. \nRegister: Please check back soon for the registration link. \nBiography: Ehsan Kamalinejad (EK) is a senior machine learning engineer. He is currently working on Visual One which is a YCombinator backed startup he co-founded. Before that he was working for several years at\nApple and Amazon as a staff machine learning engineer. Ehsan holds a faculty position as an associate professor at Cal State East Bay University. He got his PhD from University of Toronto. He has more than 7 years of experience delivering machine learning products in computer vision and natural language processing. His current project\, Visual One\, is about bringing next level intelligence to surveillance cameras.
URL:https://www.ieeetoronto.ca/event/gpt-3-for-vision/
CATEGORIES:Signal Processing
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201007T160000
DTEND;TZID=America/Toronto:20201007T170000
DTSTAMP:20260423T075643
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000749Z
UID:10000213-1602086400-1602090000@www.ieeetoronto.ca
SUMMARY:Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell
DESCRIPTION:On Wednesday\, October 7\, 2020 at 4:00 p.m.\, Prof. James Hwang of Cornell University will present “Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell”. \nDay & Time: Wednesday\, October 7\, 2020\n4:00 p.m. – 5:00 p.m. \nSpeaker: Prof. James Hwang of Cornell University \nOrganizer: IEEE Toronto Electromagnetics & Radiation Chapter \nLocation: Virtual – Zoom \nContact: George Eleftheriades \nAbstract: Microwave is not just for cooking\, smart cars\, or mobile phones. We can take advantage of the wide electromagnetic spectrum to do wonderful things that are more vital to our lives. For example\, microwave ablation of cancer tumor is already in wide use\, and microwave remote monitoring of vital signs is becoming more important as the population ages. \nThis talk will focus on a biomedical use of microwave at the single-cell level. At low power\, microwave can readily penetrate a cell membrane to interrogate what is inside a cell\, without cooking it or otherwise hurting it. It is currently the fastest\, most compact\, and least costly way to tell whether a cell is alive or dead. On the other hand\, at higher power but lower frequency\, the electromagnetic signal can interact strongly with the cell membrane to drill temporary holes of nanometer size. The nanopores allow drugs to diffuse into the cell and\, based on the reaction of the cell\, individualized medicine can be developed and drug development can be sped up in general. Conversely\, the nanopores allow strands of DNA molecules to be pulled out of the cell without killing it\, which can speed up genetic engineering. Lastly\, by changing both the power and frequency of the signal\, we can have either positive or negative dielectrophoresis effects\, which we have used to coerce a live cell to the examination table of Dr. Microwave\, then usher it out after examination. These interesting uses of microwave and the resulted fundamental knowledge about biological cells will be explored in the talk. \nRegister: Please visit https://events.vtools.ieee.org/m/239462 to register. \nBiography: James Hwang is Professor in the Department of Materials Science and Engineering at Cornell University. He graduated from the same department with a Ph.D. degree. After years of industrial experience at IBM\, Bell Labs\, GE\, and GAIN\, he spent most of his academic career at Lehigh University. He cofounded GAIN and QED; the latter became the public company IQE. Between 2011 and 2013\, he was the Program Officer for GHz-THz Electronics at the U.S. Air Force Office of Scientific Research. He has been a visiting professor at Cornell University in the US\, Marche Polytechnic University in Italy\, Nanyang Technological University in Singapore\, National Chiao Tung University in Taiwan\, Shanghai Jiao Tong University\, East China Normal University\, and University of Science and Technology in China. He is an IEEE Life Fellow and a Distinguished Microwave Lecturer. He is also a Track Editor for the IEEE Transactions on Microwave Theory and Techniques. He has published more than 350 refereed technical papers and been granted eight U.S. patents. He has researched for decades on the design\, modeling and characterization of optical\, electronic\, and micro- electromechanical devices and circuits. His current research interest focuses on electromagnetic sensors for individual biological cells\, scanning microwave microscopy\, and two-dimensional atomic-layered materials and devices.
URL:https://www.ieeetoronto.ca/event/microwaving-a-biological-cell-alive-%e2%80%92-broadband-label-free-noninvasive-electrical-characterization-of-a-live-cell/
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201028T170000
DTEND;TZID=America/Toronto:20201028T180000
DTSTAMP:20260423T075643
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000844Z
UID:10000215-1603904400-1603908000@www.ieeetoronto.ca
SUMMARY:Electronic commerce and business\, the benefits and opportunities for online users and providers
DESCRIPTION:On Wednesday\, October 28\, 2020 at 5:00 p.m.\, Edmund Baumann will present “Electronic commerce and business\, the benefits and opportunities for online users and providers”. \nDay & Time: Wednesday\, October 28\, 2020\n5:00 p.m. – 6:00 p.m. \nSpeaker: Edmund Baumann \nOrganizer: IEEE Toronto Section \nLocation: Virtual \nContact: Satish Saini \nAbstract: E-commerce is very much top of mind in our current environment as organizations have put great effort in providing products and services with substantial online supply chains. This market is driven by customers who desire a minimum of physical contact between suppliers and themselves. \nThe presentation will cover the foundations of e-commerce from the technology and business points of view. The market impact of e-commerce continues to grow and the business creativity of entrepreneurs continues to deliver products and services that the market demands after their value proposition is understood by buyers. Current business statistics are provided. Examples of successful online business are highlighted. \nRegister: Please visit https://events.vtools.ieee.org/m/240871 to register. \nBiography: Edmund Baumann (SMIEEE) holds a B.ScEE (1969) from Drexel University and an MBA (1984) from York University. He has 44 years of experience with various companies such as Rockwell\, Atomic Energy of Canada\, Tellabs\, Motorola\, Sprint\, Humber College\, University of Guelph-Humber. He teaches degree courses on Current Issues in Digital Business Management\, New Product Management\, E-Commerce\, Digital Marketing\, Business Information Systems\, Consumer Behaviour\, Marketing at Humber College and University of Guelph-Humber.
URL:https://www.ieeetoronto.ca/event/electronic-commerce-and-business-the-benefits-and-opportunities-for-online-users-and-providers/
CATEGORIES:Life Members
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T100000
DTEND;TZID=America/Toronto:20201113T120000
DTSTAMP:20260423T075643
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000953Z
UID:10000217-1605261600-1605268800@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to build your own intelligent agent
DESCRIPTION:On Friday\, November 13\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 13\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: \na) Programming speech recognition. \nb) Leveraging cloud-based resources such as speech-to-text\, text-to-speech and AI querying to generate responses. \nc) Connect these together to create a turn taking intelligent agent. \nd) Customizing the voice used in these generated responses. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-build-your-own-intelligent-agent/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T180000
DTEND;TZID=America/Toronto:20201113T200000
DTSTAMP:20260423T075643
CREATED:20210430T023718Z
LAST-MODIFIED:20210615T010123Z
UID:10000219-1605290400-1605297600@www.ieeetoronto.ca
SUMMARY:IEEE Toronto Virtual AGM 2020
DESCRIPTION:The IEEE Toronto Section is happy to announce our first ever online IEEE Toronto section Annual General Meeting (AGM).  Since we are not restricted to a limited number of physical participants\, we are happy to open this even up to all IEEE Toronto members\, as well as any guests who they would like to invite.  Please feel free to pass this information along to any interested parties. \nWe will hear from the IEEE Toronto section\, IEEE Canada\, and IEEE Global representatives\, as well as keynote speakers from local industry.  Awards will be presented to oustanding contributors for the past year\, and prizes will be available for all attendees.  You must register for the event using the link on this page in order to qualify for prizes.  Only IEEE members will be eligible for prizes. \nDate: Friday\, November 13\, 2020\n6:00 p.m. – 8:00 p.m. \nLocation: Virtual – WebEx \nRegister: Please visit https://events.vtools.ieee.org/m/241427 for the registration link and event link. \nAgenda: \n\n6:00pm: Introduction and online meeting details\n6:05pm: Section Chair report from Ali Nabavi\n6:15pm: IEEE Global update from Kathy Land\n6:30pm: Prize draw\n6:35pm: Keynote presentation from Dr. Inmar Givoni\, Director of Engineering at Uber Advanced Technology Group\, Toronto\n7:05pm: IEEE Canada update from Maike Luiken\n7:20pm: Keynote presentation from Dr. Martin Snelgrove\, CTO at Untether AI\n7:50pm: Awards presentation and prize draw\n\nKeynote Speakers: Dr. Inmar Givoni\, Dr. Martin Snelgrove \nTopic: AI for Self-Driving Cars (Dr. Inmar Givoni) \nAt the Uber ATG R&D centre\, we are working on advanced state-of-the-art models for solving a large range of problems in self driving – perception and prediction\, motion planning\, mapping and localization\, sensor simulation\, and more. All that work is publicly available through academic conferences and venues. In this talk I will cover some exciting recent advances and also discuss the path to production – how we go from research prototypes to deployed systems on vehicle. \nTopic: Building Cool Silicon in the Frozen North (Dr. Matin Snelgrove) \nBiographies: \n\n\n\nDr. Inmar Givoni\nInmar Givoni is a Director of Engineering at Uber Advanced Technology Group\, Toronto\, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her PhD (Computer Science) in 2011 from the University of Toronto\, specializing in machine learning\, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research\, Altera (now Intel)\, Kobo\, and Kindred at roles ranging from research scientist to VP\, Big Data\, applying machine learning techniques to various problem domains and taking concepts from research to production systems. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning\, computer vision\, and computational biology. She is a regular speaker at AI events\, and is particularly interested in outreach activities for young women\, encouraging them to choose technical career paths. For her volunteering efforts she has received the 2017 Arbor Award from UofT. In 2018 she was recognized as one of Canada’s 50 inspiring women in STEM and recently recognized as one of Canada’s Tech Titans: Top 19 of 2019.. She was featured in Marie Claire\, Toronto Life\, The Globe and Mail\,  TWIML & AI podcast\, ReWork’s list of 30 influential women in Canadian AI\, UofT’s News\, and other media venues. \nDr. Martin Snelgrove \n\n\n\nMartin is CTO of Untether AI\, who have just announced their first product: a high-performance AI chip that puts Peta-operations per second onto a board. The magic to getting the massive computing power AI needs is to be very careful with the femtoJoules: you can only fit so many watts in a box\, so you have to use them very carefully. It turns out that to do that you have to rethink John von Neumann’s 1947 computer architecture\, and it turns out that understanding AI as a workload lets you do that.    Martin was a professor at the University of Toronto\, then had a Nortel/Mitel-supported industrial research chair at Carleton. Over 16 years of teaching he saw the vast majority of the students Canada paid for head straight down to California. So he moved over to the dark side\, and has been in the founding team for three tech companies in Toronto; Soma\, Kapik and now Untether. It turns out that because Canada produces great engineers\, you can give them a great place to work by putting teams together. Top-grade talent likes working with top-grade talent.
URL:https://www.ieeetoronto.ca/event/ieee-toronto-virtual-agm/
LOCATION:Toronto\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201120T143000
DTEND;TZID=America/Toronto:20201120T160000
DTSTAMP:20260423T075643
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001309Z
UID:10000221-1605882600-1605888000@www.ieeetoronto.ca
SUMMARY:Machine Learning and Digital Signal Processing Applications in Online Video Platforms
DESCRIPTION:On Friday\, November 20\, 2020 at 2:30 p.m.\, Mehrdad Fatourechi will present “Machine Learning and Digital Signal Processing Applications in Online Video Platforms”. \nDay & Time: Friday\, November 20\, 2020\n2:30 p.m. – 4:00 p.m. \nSpeaker: Mehrdad Fatourechi\, PhD \nOrganizer: IEEE Signal Processing Chapter Toronto Section \nLocation: This event will be hosted on google meets\nMeeting ID\nmeet.google.com/yej-opbp-uxo\nPhone Numbers\n(US)+1 617-675-4444\nPIN: 974 200 026 6220# \nContact: Mehrnaz Shokrollahi \nAbstract: In the past 15 years\, we have seen exponential growth in online video platforms such as YouTube\, Instagram\, Netflix\, TikTok\, amongst others. In this talk\, we will look at some of the challenges these platforms have been facing and how machine learning and digital signal processing are playing important roles in addressing these challenges. We will focus on discussing 3 areas:\n1- Content discovery and SEO optimization\n2- Establishing trust and safety\, and\n3- Protecting the rights of the content owners\nWe will also discuss some of the areas that are currently open for future research. \nRegister: Registration is not required. \nBiography: Mehrdad is the VP of Engineering of BroadbandTV\, a media-tech company that is advancing the world through the creation\, distribution\, management\, and monetization of content. Mehrdad is currently responsible for managing the research and development (R&D) and IT departments. When he joined BBTV in March 2010\, he was initially responsible for managing the research team\, and then his role later expanded to lead the entire engineering department. \nUnder his leadership\, BBTV’s tech team has become one of the leading and most innovative teams in digital video space\, building several internal and external products (including VISO Catalyst\, VISO Collab\, VISO Prism\, VISO NOVI\, and VISO Mine) as well as filing several patents. Mehrdad has an in-depth knowledge of digital signal processing\, machine learning\, and pattern\nrecognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC)\, where he was nominated for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition\, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC\, as well as consulting with several companies (INETCO\, BC Mining Research\, and STC enterprises). He was the co-chair of the IEEE Signal Processing Chapter in Vancouver for two years.
URL:https://www.ieeetoronto.ca/event/machine-learning-and-digital-signal-processing-applications-in-online-video-platforms/
CATEGORIES:Signal Processing
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201126T180000
DTEND;TZID=America/Toronto:20201126T210000
DTSTAMP:20260423T075643
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001431Z
UID:10000223-1606413600-1606424400@www.ieeetoronto.ca
SUMMARY:Security of the Internet of Things (IoT): Are We Paranoid Enough?
DESCRIPTION:On Thursday\, November 26\, 2020 at 6:00 p.m.\, Swarup Bhunia will present “Security of the Internet of Things (IoT): Are We Paranoid Enough?”. \nDay & Time: Thursday\, November 26\, 2020\n6:00 p.m. – 9:00p.m. \nSpeaker: Swarup Bhunia of U. of Florida NSF SFS Program \nOrganizer: IEEE Toronto Computer Society \nLocation: Virtual – Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. \nContact: Younas Abbas \nAbstract: The session will help IoT enthusiasts understand the challenges of security implementation at the hardware level for modern electronic hardware. \nSecurity has become a critical design challenge for modern electronic hardware. With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles\, security has come to the forefront of the system-design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. It has prompted system designers to develop a wide array of design-for-security and test/validation solutions to achieve high-security assurance for electronic hardware\, which supports the software stack. At the same time\, emerging security issues and countermeasures have also led to interesting interplay between security\, verification and interoperability. Verification of hardware for security and trust at different levels of abstraction is rapidly becoming an integral part of the system design flow. The global economic trend that promotes outsourcing of design and fabrication process to untrusted facilities coupled with the prevalent practice of system on chip design using untrusted third-party intellectual property blocks (IPs)\, has given rise to the critical need of trust verification of IPs\, system-on-chip design\, and fabricated chips. \nThe talk will also cover a spectrum of security challenges for IoTs and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass. \nAgenda: \n\n6:00 PM: Virtual Registration and welcome remarks by session chair and vice chair\n6:20 PM: Technical Session\n8:20 PM: Q & A\n8:50 PM: Closing\n\nRegister: Please visit https://events.vtools.ieee.org/m/240161 to register. \nBiography: Swarup Bhunia received his B.E. (Hons.) from Jadavpur University\, Kolkata\, India\, and the M.Tech. degree from the Indian Institute of Technology (IIT)\, Kharagpur. He received his Ph.D. from Purdue University\, IN\, USA\, in 2005. Currently\, Dr. Bhunia is a preeminence professor and Steven Yatauro Faculty Fellow in the department of Electrical and Computer Engineering at University of Florida\, Gainesville\, FL\, USA. Earlier\, Dr. Bhunia has served as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University\, Cleveland\, OH\, USA. He has over twenty years of research and development experience with over 250 publications in peer-reviewed journals and premier conferences and ten edited or authored books (two upcoming) in the area of VLSI design\, CAD and test techniques. His research interests include low power and robust design\, hardware security and trust\, adaptive nanocomputing and novel test methodologies. He has worked in the semiconductor industry on RTL synthesis\, verification\, and low power design for about three years. Dr. Bhunia received IEEE-CS TCVLSI Distinguished Research Award (2018)\, IBM Faculty Award (2013)\, National Science Foundation (NSF) career development award (2011)\, Semiconductor Research Corporation (SRC) technical excellence award (2005) as a team member\, best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES 2017)\, best paper award in IEEE BioMedical Circuits and Systems Conference (BioCAS 2016)\, best paper award in International Conference on VLSI Design (VLSI Design 2012)\, best paper award in International Conference on Computer Design (ICCD 2004)\, best paper award in Latin American Test Workshop (LATW 2003)\, and best paper nomination in Asia and South Pacific Design Automation Conference (ASP-DAC 2006) and in Hardware Oriented Test and Security (HOST 2010)\, nomination for John S. Diekhoff Award\, Case Western Reserve University (2010) and SRC Inventor Recognition Award (2009). \nDr. Bhunia has been serving as founding editor-in-chief in Journal of Hardware and Systems Security (HaSS)\, an associate editor of IEEE Transactions on CAD (TCAD)\, IEEE Transactions on Multi-Scale Computing Systems (TMSCS)\, ACM Journal of Emerging Technologies (JETC)\, and Journal of Low Power Electronics (JOLPE). He has served as a guest editor of IEEE Design & Test of Computers (2010\, 2013)\, IEEE Computer Magazine (2016)\, IEEE Transcation on CAD (2015)\, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He has served as co-program chair of IEEE IMS3TW 2011\, IEEE NANOARCH 2013\, IEEE VDAT 2014\, and IEEE HOST 2015\, and in the technical program committee of Design Automation Conference (2014-2015)\, Design Automation and Test in Europe (DATE 2006-2010)\, Hardware Oriented Trust and Security Symposium (HOST 2008-2010)\, IEEE/IFIP International Conference on VLSI (VLSI SOC 2008)\, Test Technology Educational Program (TTEP 2006-2008)\, International Symposium on Low Power Electronics and Design (ISLPED 2007-2008)\, IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH 2007-2010)\, IEEE International Conference on VLSI (ISVLSI 2008-2010)\, International Conference of VLSI Design as a track chair (2010) and in the program committee of International Online Test Symposium (IOLTS 2005). Dr. Bhunia has given tutorials on low-power and robust design and test in premier conference including International Test Conferences (ITC 2009)\, VLSI Test Symposium (VTS 2010)\, and Design Automation and Test in Europe (DATE 2009). He is a distingusihed ACM speaker and a senior member of IEEE. \nLab Website | New Text Book
URL:https://www.ieeetoronto.ca/event/security-of-the-internet-of-things-iot-are-we-paranoid-enough/
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201127T100000
DTEND;TZID=America/Toronto:20201127T120000
DTSTAMP:20260423T075643
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001506Z
UID:10000225-1606471200-1606478400@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives
DESCRIPTION:On Friday\, November 27\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 27\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on extracting images from multiple sources (webcam\, video\, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: \na) Extracting frames from a camera\, video or ROS bag and generating a image stream \nb) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor \nc) Perform multiple image processing to extract motion \nd) Create a motion map on the generated image of the floor. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-track-motion-from-bird-eye-multiple-camera-perspectives/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201208T120000
DTEND;TZID=America/Toronto:20201208T130000
DTSTAMP:20260423T075643
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001600Z
UID:10000226-1607428800-1607432400@www.ieeetoronto.ca
SUMMARY:Nelson J. G. Fonseca\, Dec. 08\, 12 pm
DESCRIPTION:The U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) (https://edu.ieee.org/ca-uotaps/) invites you to the following talk of our 2020-2021 seminar series: \n“Quasi-Optical Antennas for Space Applications”\, presented by the European Space Agency antenna engineer\, Nelson J. G. Fonseca\, on Tuesday\, Dec. 08\, 12 PM ET. \nDay & Time: Tuesday\, December 8\, 2020\n12:00 p.m. – 1:00 p.m. \nSpeaker: Nelson J. G. Fonseca \nOrganizer: U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) \nLocation: Online (link will be provided to registrants) \nContact: Parinaz Naseri \nAbstract: This presentation provides an overview of recent multiple beam lens antenna developments supported by the European Space Agency\, for applications ranging from satcom payloads\, to imaging systems and microwave instruments. There are also on-going transfer of technology activities for 5G terrestrial communication systems. The presentation will cover related developments on polarizers\, providing polarization conversion as well as polarization selectivity for advanced antenna systems. \nRegister: Please visit https://events.vtools.ieee.org/m/250057 to register. \nBiography: Nelson J. G. Fonseca (Senior Member\, IEEE) received the M.Eng. degree from Ecole Nationale Supérieure d’Electrotechnique\, Electronique\, Informatique\, Hydraulique et Telecommunications (ENSEEIHT)\, Toulouse\, France\, in 2003\, the M.Sc. degree from the Ecole Polytechnique de Montreal\, Quebec\, Canada\, also in 2003\, and the Ph.D. degree from Institut National Polytechnique de Toulouse – Université de Toulouse\, France\, in 2010\, all in electrical engineering. \nSince 2009\, he works in the Antenna and Sub-Millimetre Waves Section\, European Space Agency (ESA)\, Noordwijk\, The Netherlands. His current research interests include multiple beam antennas for space missions\, beamformer theory and design\, ground terminal antennas and novel manufacturing techniques. He has authored or co-authored more than 200 papers in peer-reviewed journals and conferences. He contributed to 25 technical innovations\, protected by over 40 patents issued or pending.
URL:https://www.ieeetoronto.ca/event/nelson-j-g-fonseca-dec-08-12-pm/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201210T133000
DTEND;TZID=America/Toronto:20201210T144500
DTSTAMP:20260423T075643
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001657Z
UID:10000228-1607607000-1607611500@www.ieeetoronto.ca
SUMMARY:Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
DESCRIPTION:On Thursday\, December 10\, 2020 at 1:30 p.m.\, Steve Delaney will present “Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System” and Iwona Sokalska will present “Corda Blockchain as a Sustainable Supply Chain for Open Education”. \nDay & Time: Thursday\, December 10\, 2020\n1:30 p.m. – 2:45 p.m. \nSpeakers: Steven Delaney\, Iwona Sokalska \nOrganizer: Ryerson CS Graduate Student Council\, IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstracts: \nTitle: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System \nCost effective\, efficient and exemplary healthcare services is of paramount importance to all Canadians.   Countries around the world are addressing this through the consolidation and integration of siloed patient healthcare records into a unified system.  However\, consolidation and advances in technology that generate healthcare data threaten to overload clinicians with information. This makes the usability of healthcare data in terms of speed of access and relevancy that is optimized to the role of the clinician and healthcare scenario\, key to the success of the unified healthcare system.   My research objective is to design and demonstrate a solution\, that provides clinicians with a superior experience that provides them with the most relevant data for the current needs of the patient in order to determine and apply the best treatment in a timely manner\, using Semantic Web and Blockchain technology to support patient privacy and role based access and permission controls. \nTitle: Corda Blockchain as a Sustainable Supply Chain for Open Education: \nBlockchain solutions are disrupting the established supply chains. The ability to customize the transaction in the “business context” is one of the key reasons why blockchain will play a major role in reinventing the existing rigid supply chains. In this presentation\, we are going to look at \nCorda blockchain features that enable powerful supply chains capable of supporting new business models. We are going to build a case of why such a disruption is needed in the publishing industry to support the Open Education and Higher Education Affordability Act. The open education licences require proper attribution of contributors. One of the challenges in open education is that licences can be easily misused by 3-rd party content purveyors. In addition\, content creators often do not know where and how their content is being used. It is impossible for content creators to measure the impact of their works or to prevent licence misuse. Universities\, professors\, retail bookstores\, libraries and 3rd party higher education platforms constitute a complex ecosystem. In this ecosystem\, real barriers are causing scaling issues. The issues include content findability\, compliance\, licence misuse\, licence rigidity and proliferation of licence types and lack of interoperability for licences. The presentation will outline a Corda based supply chain and Information Retrieval to addresses these issues. Providing a decentralized platform for independent players in a system to reduce the complexity of transacting. Mainly by using smart contracts to manage licence agreement workflows. Scalability\, data privacy and data traceability are key considerations in the Corda blockchain which can be leveraged to support a sustainable business model and healthy ecosystems. \nRegister: Please visit https://events.vtools.ieee.org/m/246971 to register. \nBiographies: \nSteve Delaney \n\n\n\nSteve is a PhD candidate in Computer Science at Ryerson University working on the data quality of healthcare records.  He has an MBA from York University and an Honours Bachelor of Science degree from the University of Toronto.  He obtained his ICD.D certification from the Institute of Corporate Directors/Rotman School of Business.  He is currently on the Board of the CIO Association of Canada and is a member of several Advisory Councils.  Steve is the Co-Founder of Capital Blockchain\, a Canadian firm that develops blockchain solutions for the private and public sector.  Previously Steve was the CIO of the Ontario Telemedicine Network\, CIO of MCAP ( $100B mortgage firm) and VP Technology at RBC and BCE. \nEmail: steven.delaney@ryerson.ca \nIwona Sokalska \n\n\n\nIwona Sokalska is a 2nd-year Computer Science PhD student at Ryerson University. Iwona’s interests are in the automation of knowledge dissemination and knowledge extraction. Under the supervision of Professor Andriy Miranskyy\, Iwona is developing techniques for semantic code analysis using Artificial Intelligence\, specifically Graph Neural Networks. Iwona is a co-founder of OpenSail\, a distributed platform for licenced content dissemination. With over 10 years of experience\, Iwona has designed products and services in Medical Imaging\, Medical Informatics and Enterprise Knowledge Management Systems. Iwona holds an Honours B.Sc. double major in Computer Science and Mathematics from York University and an M.Sc. Data Science and Analytics from Ryerson University. Her mission is to improve the support of Open Education Community and increase adoption of Open Education Resources in institutions around the world.
URL:https://www.ieeetoronto.ca/event/improving-data-usability-for-clinicians-and-first-responders-in-a-unified-healthcare-system/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201214T114500
DTEND;TZID=America/Toronto:20201214T151500
DTSTAMP:20260423T075643
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001904Z
UID:10000340-1607946300-1607958900@www.ieeetoronto.ca
SUMMARY:Current and Future Trends in 5G/B5G/6G
DESCRIPTION:IEEE Young Professionals Affinity Groups of the Montreal Section\, Ottawa Section\, Toronto Section\, Turkey Section\, and the IEEE Vancouver Joint Communications Chapter bring bright minds from the flagship research groups across the globe to give the community technical lectures on cutting-edge areas in wireless communications. This event will cover broad arrays of topics along with fundamental research results targeting a variety of applications in 5G/B5G/6G. \nDay & Time: Monday\, December 14\, 2020\n11:45 a.m. – 3:15 p.m. \nSpeakers: Walid Saad\, Mehdi Bennis\, Halim Yanikomeroglu\, Wei Yu\, Vincent Wong \nOrganizers: IEEE Montreal Section YP\, Vancouver Jt Chpt VT06/COM19/PHO36/BT02/IT12/ITS38\, Ottawa Section YP\, Turkey Section YP\, Toronto Section YP \nLocation: Virtual \nContact & Register: Please visit https://events.vtools.ieee.org/m/241334 for contact information and to register. \nAgenda: \n\n\n\n\n11:45 PM – 12:00 PM\nOpening and Welcome\nMansour Naslcheraghi\, Chair of IEEE YP Montreal\n\n\n12:00 PM – 12:30 PM\nTalk\nWalid Saad\n\n\n12:30 PM – 12:35 PM\nQ&A\nWalid Saad\n\n\n12:35 PM – 01:05 PM\nTalk\nHalim Yanikomeroglu\n\n\n01:05 PM – 01:10 PM\nQ&A\nHalim Yanikomeroglu\n\n\n01:10 PM – 01:40 PM\nTalk\nVincent Wong\n\n\n01:40 PM – 01:45 PM\nQ&A\nVincent Wong\n\n\n01:45 PM – 02:15 PM\nTalk\nMehdi Bennis\n\n\n02:15 PM – 02:20 PM\nQ&A\nMehdi Bennis\n\n\n02:20 PM – 02:50 PM\nTalk\nWei Yu\n\n\n02:50 PM – 02:55 PM\nQ&A\nWei Yu\n\n\n02:55 PM – 3:10 PM\nQ&A\nAll speakers\n\n\n\n\nTopics and Abstracts: \nWalid Saad\, ECE Department\, Virginia Tech\, Blacksburg\, USA\nProfessor\, Fellow of IEEE\nTitle: Can Terahertz Communications Provide High-Rate Highly Reliable Low Latency Communications in 6G Networks? \nAbstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks\, due to the large amount of available bandwidth. However\, 6G systems will have to support\, not only high data rates\, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular\, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC)\, unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios.  Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore\, in this talk\, after a brief overview on our vision of 6G systems\, we will explore the potential of THz for meeting HRLLC requirements. In this regard\, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then\, we perform a thorough analysis of the tail-value-at-risk (TVaR)  to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS)  as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability\, although their effect remains secondary compared to the availability of LoS\, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems. \nHalim Yanikomeroglu\, ECE Department\, Carleton University\, Ottawa\, ON\, Canada\nProfessor\, Fellow of IEEE\, Fellow of Canadian Academy of Engineering\, Fellow of Engineering Institute of Canada\nTitle: Wireless Access Architecture: The Next 20+ Years \nAbstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks\, due to the large amount of available bandwidth. However\, 6G systems will have to support\, not only high data rates\, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular\, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC)\, unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios.  Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore\, in this talk\, after a brief overview on our vision of 6G systems\, we will explore the potential of THz for meeting HRLLC requirements. In this regard\, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then\, we perform a thorough analysis of the tail-value-at-risk (TVaR)  to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS)  as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability\, although their effect remains secondary compared to the availability of LoS\, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems. \nVincent Wong\, ECE Department\, University of British Columbia\, Vancouver\, BC\, Canada\nProfessor\, Fellow of IEEE\nTitle: Throughput Optimization for Grant-Free Multiple Access with Multiagent Deep Reinforcement Learning \nAbstract: Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink access of Internet of Things (IoT) devices. In this talk\, we present a deep reinforcement learning (DRL)-based pilot sequence selection scheme for GFMA systems to mitigate potential pilot sequence collisions. We formulate a pilot sequence selection problem for aggregate throughput maximization in GFMA systems with specific throughput constraints as a Markov decision process (MDP). By exploiting multiagent DRL\, we train deep neural networks (DNNs) to learn near-optimal pilot sequence selection policies from the transition history of the underlying MDP without requiring information exchange between the users. While the training process takes advantage of global information\, we leverage the technique of factorization to ensure that the policies learned by the DNNs can be executed in a distributed manner. Simulation results show that the proposed scheme can achieve an average aggregate throughput that is close to the optimum\, and has a better performance than several heuristic algorithms. \nMehdi Bennis\, ECE Department\, University of Oulu\, Finland\nProfessor\, IEEE Fellow\nAbstract: This talk will break down the vision of wireless network edge intelligence at scale in terms of theoretical and algorithmic principles in addition to a number of applications in beyond 5G/6G. \nWei Yu\, ECE Department\, University of Toronto\, Toronto\, ON\, Canada\nFellow of IEEE and a Fellow of Canadian Academy of Engineering\nTitle: Data-Driven Approaches to Wireless Communication System Design \nAbstract: In this talk\, I will illustrate how machine learning can significantly improve the design of wireless communication systems. I will draw examples from scheduling and power control problems for wireless cellular networks to show that a data-driven approach can circumvent the need for accurate channel estimation and provide near optimal solutions to system-level optimization problems in wireless system design. I will also show how deep neural network (DNN) can be used for efficient and distributed channel estimation\, quantization\, feedback\, and multiuser precoding for massive MIMO systems\, thereby providing an efficient solution to a distributed source coding problem. I will conclude by showing the benefit of data-driven design in term of robustness. \nBiographies: \n\n\n\nWalid Saad of Virginia Tech \nWalid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech\, where he leads the Network sciEnce\, Wireless\, and Security (NEWS) laboratory. His research interests include wireless networks\, machine learning\, game theory\, security\, unmanned aerial vehicles\, cyber-physical systems\, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013\, the AFOSR summer faculty fellowship in 2014\, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009\, ICIMP in 2010\, IEEE WCNC in 2012\, IEEE PIMRC in 2015\, IEEE SmartGridComm in 2015\, EuCNC in 2017\, IEEE GLOBECOM in 2018\, IFIP NTMS in 2019\, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society\, of the 2017 IEEE ComSoc Best Young Professional in Academia award\, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award\, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. From 2015-2017\, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and\, in 2017\, he was named College of Engineering Faculty Fellow. He received the Dean’s award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for major IEEE Transactions. \n\n\n\n\nHalim Yanikomeroglu \nDr. Halim Yanikomeroglu is a Professor in the Department of Systems and Computer Engineering at Carleton University\, Canada. His extensive collaboration with industry on 4G & 5G wireless technologies resulted in 37 granted patents. During 2012-2016\, he led one of the largest academic-industrial collaborative research programs on pre-standards 5G wireless. In Summer 2019\, he started a new large-scale project on the 6G wireless network architecture. He supervised 26 PhD students (all completed with theses). He is a Fellow of IEEE\, EIC (Engineering Institute of Canada)\, and CAE (Canadian Academy of Engineering)\, and a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He served as the General Chair and Technical Program Chair of several major IEEE conferences; he also served in the Editorial Boards of several IEEE periodicals. He served as the Chair of IEEE Technical Committee on Personal Communications\, and he is currently chairing the Steering Committee of IEEE’s flagship Wireless Communications and Networking Conference (WCNC). Dr. Yanikomeroglu received several awards for his research\, teaching\, and service\, including the IEEE Wireless Communications Technical Committee Recognition Award in 2018 and the IEEE Vehicular Technology Society Stuart Meyer Memorial Award in 2020. \n\n\n\n\nVincent Wong \nVincent Wong is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia\, Vancouver\, Canada. His research areas include protocol design\, optimization\, and resource management of communication networks\, with applications to the Internet\, wireless networks\, smart grid\, fog computing\, and Internet of Things. Currently\, he is an executive editorial committee member of the IEEE Transactions on Wireless Communications\, an Area Editor of the IEEE Transactions on Communications and IEEE Open Journal of the Communications Society\, and an Associate Editor of the IEEE Transactions on Mobile Computing. Dr. Wong is a Fellow of the IEEE and an IEEE Communications Society Distinguished Lecturer (2019 – 2020). \n\n\n\n\nMehdi Bennis \nDr Mehdi Bennis is an Associate Professor at the Centre for Wireless Communications\, University of Oulu\, Finland\, Academy of Finland Research Fellow and head of the intelligent connectivity and networks/systems group (ICON). His main research interests are in radio resource management\, heterogeneous networks\, game theory and distributed machine learning in 5G networks and beyond. He has published more than 200 research papers in international conferences\, journals and book chapters. He has been the recipient of several prestigious awards including the 2015 Fred W. Ellersick Prize from the IEEE Communications Society\, the 2016 Best Tutorial Prize from the IEEE Communications Society\, the 2017 EURASIP Best paper Award for the Journal of Wireless Communications and Networks\, the all-University of Oulu award for research and the 2019 IEEE ComSoc Radio Communications Committee Early Achievement Award. Dr Bennis is an editor of IEEE TCOM and Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal. \n\n\n\n\nWei Yu \nWei Yu received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo\, Waterloo\, Ontario\, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University\, Stanford\, CA\, in 1998 and 2002\, respectively. Since 2002\, he has been with the Electrical and Computer Engineering Department at the University of Toronto\, Toronto\, Ontario\, Canada\, where he is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications. Prof. Wei Yu is a Fellow of the Canadian Academy of Engineering\, and a member of the College of New Scholars\, Artists and Scientists of the Royal Society of Canada. Prof. Wei Yu was an IEEE Communications Society Distinguished Lecturer in 2015-16. He received the Steacie Memorial Fellowship in 2015\, the IEEE Marconi Prize Paper Award in Wireless Communications in 2019\, the IEEE Communications Society Award for Advances in Communication in 2019\, the IEEE Signal Processing Society Best Paper Award in 2017 and 2008\, the Journal of Communications and Networks Best Paper Award in 2017\, and the IEEE Communications Society Best Tutorial Paper Award in 2015. Professor Wei Yu currently serves as Vice President of the IEEE Information Theory Society (ITSoc) and is the President-elect of the ITSoc for 2021.
URL:https://www.ieeetoronto.ca/event/current-and-future-trends-in-5g-b5g-6g/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:Young Professionals
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DTSTART;TZID=America/Toronto:20201218T183000
DTEND;TZID=America/Toronto:20201218T193000
DTSTAMP:20260423T075643
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001941Z
UID:10000341-1608316200-1608319800@www.ieeetoronto.ca
SUMMARY:Recent Developments in the Design of Charging Systems for Electric Vehicles
DESCRIPTION:Dr. Mohamed Z. Youssef Ph.D\, Associate Professor University of Ontario\, UOIT\, will present and discuss application of bidirectional power distribution and charging system for electric type vehicles. \nDay & Time: Friday\, December 18\, 2020\n6:30 p.m. – 7:30 p.m. \nSpeaker: Mohamed Z. Youssef of University of Ontario Institute of Technology \nOrganizer: IEEE Toronto Section IES \nLocation: Virtual – Google Meet \nContact: Mohamed Youssef \nTopic: Rail Technology Forum: Electric Vehicle Infra Structure \nTechnology Synopsis: Electric vehicles are a rapidly growing segment of transportation industry owning much of this progress to the improved technologies\, public inclination towards minimizing carbon footprint\, and government policy initiatives. Currently this industry is undergoing a technological transformation by investing heavily in charging stations infrastructure to improve the vehicle travel range. The charging station market is segmented on the basis of type\, end user\, and geography. This presentation discusses an integrated fast charging system that connects electric vehicles (VE)\, power grid\, off-grid energy storage and renewable energy sources into one distributed system through a smart management of power and available energy\, to enable clean\, sustainable operation at high levels of performance. The experimental results of a lab prototype for electric vehicles (buses) are presented. A design case of electric bus deployed for the city of Mississauga is developed and demonstrated with excellent trial run results. \nRegister: Please visit https://events.vtools.ieee.org/m/250263 to register.
URL:https://www.ieeetoronto.ca/event/recent-developments-in-the-design-of-charging-systems-for-electric-vehicles/
LOCATION:Toronto\, Canada
CATEGORIES:Industrial Electronics
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DTSTART;TZID=America/Toronto:20210119T180000
DTEND;TZID=America/Toronto:20210119T200000
DTSTAMP:20260423T075643
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T002148Z
UID:10000342-1611079200-1611086400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing Attention Grabbing Resumes
DESCRIPTION:On Tuesday\, January 19\, 2021 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing Attention Grabbing Resumes & Cover Letters”. \n\n\n\n\nDay & Time: Tuesday\, January 19\, 2021\n9:00 p.m. – 10:30 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar\, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters! \nFor accessibility needs\, please contact Wincy at wincyli@ryerson.ca as soon as possible. \nRegister: Please visit https://ryerson.zoom.us/webinar/register/WN_K0eDFX2LQtu97tfq0Wpy_w to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-attention-grabbing-resumes/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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DTSTART;TZID=America/Toronto:20210121T210000
DTEND;TZID=America/Toronto:20210121T223000
DTSTAMP:20260423T075643
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002239Z
UID:10000343-1611262800-1611268200@www.ieeetoronto.ca
SUMMARY:JOINT EPS/CAS WEBINAR: FLEXIBLE HYBRID ELECTRONICS 2.0
DESCRIPTION:On Thursday\, January 21\, 2021 at 9:00 p.m.\, the IEEE Toronto Circuits & Devices Chapter invites you to attend a Distinguished Lecture webinar co-sponsored by the IEEE OREGON JOINT EPS/CAS CHAPTER. \nDay & Time: Thursday\, January 21\, 2021\n9:00 p.m. – 10:30 p.m. \nSpeaker: Subramanian Iyer of UCLA \nOrganizer(s): IEEE Toronto Circuits & Devices Chapter\, IEEE Oregon Joint EPS/CAS Chapter \nLocation: Virtual (Webex)\nConnect info sent to registered attendees \nContact: Mengqi Wang\, James Morris \nAbstract: In the last few years\, electronics packaging has rightfully emerged from the shadows of CMOS scaling to make a significant impact in high performance and mobile appliance computing. The area of Flexible Hybrid Electronics (FHE) has also developed and is making a significant impact in the area of medical and wellness electronics. The first generation of these devices have\, for most part\, adapted Printed Circuit Board (PCB) technology by using thinner PCBs and assembling either thinned or thin packaged “older” generation of chips on to these platforms\, typically with coarse printed wiring to connect a small number of such chips. This approach\, while immensely useful to get the field going\, needs to adapt and borrow from the both silicon and advanced packaging technology trends\, so that we can advance this trend to the next level. The key paradigm challenges ahead are: scaling the FHE in general – this includes the adoption of dielet (chiplet) technology in more advanced CMOS nodes including edge-AI\, higher performance interconnects\, flexible high-density energy storage\, wireless communication and advanced ergonomics and all of these at lower cost and higher reliability. In this talk we will address these challenges and outline a possible technology roadmap to achieve these goals in the next few years. \nRegister: Please visit https://events.vtools.ieee.org/m/256124 to register. \nBiography: \n\n\n\nSubramanian S. Iyer (Subu) is Distinguished Professor and holds the Charles P. Reames Endowed Chair in the Electrical Engineering Department and a joint appointment in the Materials Science and Engineering Department at the University of California at Los Angeles. He is Director of the Center for Heterogeneous Integration and Performance Scaling (CHIPS). Prior to that he was an IBM Fellow. His key technical contributions have been the development of the world’s first SiGe base HBT\, Salicide\, electrical fuses\, embedded DRAM and 45nm technology node used to make the first generation of truly low power portable devices as well as the first commercial interposer and 3D integrated products. He also was among the first to commercialize bonded SOI for CMOS applications through a start-up called SiBond LLC. More recently\, he has been exploring new packaging paradigms and device innovations that they may enable wafer-scale architectures\, in-memory analog compute and medical engineering applications. He has published over 300 papers and holds over 75 patents. He has received several outstanding technical achievements and corporate awards at IBM. He is an IEEE Fellow\, an APS Fellow and a Distinguished Lecturer of the IEEE EDS and EPS and a member of the Board of Governors of IEEE EPS. He is also a Fellow of the National Academy of Inventors and iMAPS. He is a Distinguished Alumnus of IIT Bombay and received the IEEE Daniel Noble Medal for emerging technologies in 2012 and the 2020 iMAPS Daniel C. Hughes Jr Memorial award. \nList of publications/patents: https://scholar.google.com/citations?user=xXV4oIMAAAAJ&hl=en \nEmail: S.S.Iyer@ucla.edu
URL:https://www.ieeetoronto.ca/event/joint-eps-cas-webinar-flexible-hybrid-electronics-2-0/
CATEGORIES:Circuits & Devices
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DTSTART;TZID=America/Toronto:20210128T161000
DTEND;TZID=America/Toronto:20210128T170000
DTSTAMP:20260423T075643
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002303Z
UID:10000344-1611850200-1611853200@www.ieeetoronto.ca
SUMMARY:A 26.5625Gbps to 106.25Gbps XSR SerDes with 1.55pJ/bit efficiency in 7nm CMOS
DESCRIPTION:On Thursday\, January 28\, 2021 at 4:10 p.m.\, Ravi Shivnaraine will present give a talk\, “A 26.5625Gbps to 106.25Gbps XSR SerDes with 1.55pJ/bit efficiency in 7nm CMOS”. \nDay & Time: Thursday\, January 28\, 2021\n4:10 p.m. – 5:00 p.m. \nSpeaker(s): Ravi Shivnaraine of Rambus \nOrganizer(s): IEEE Toronto Solid-State Circuits Society \nLocation: Virtual – Zoom \nContact: Saba Zargham \nAbstract: In this talk\, Rambus will review their recent 26.5625Gbps to 106.25Gbps XSR SerDes macro in 7nm CMOS. The talk will go over the system architecture\, self-test features\, and measurement results. A 1.55pJ/b power efficiency and beachfront density of 722Gbps/mm have been achieved. \nRegister: Please visit https://events.vtools.ieee.org/m/257895 to register and to view the Zoom link. \nBiography: Mr. Shivnaraine obtained his Bachelors and Masters from the University of Toronto in 2010 and 2012 respectively. Ravi has experience working on SerDes receivers at Snowbush\, Huawei\, and Rambus at 28Gbps\, 56Gbps\, and 112Gbps. Currently\, he is at AnalogX working on next-generation SerDes in deep sub-micron nodes. His research interests are low power SerDes interfaces and digitally assisted analog techniques.
URL:https://www.ieeetoronto.ca/event/a-26-5625gbps-to-106-25gbps-xsr-serdes-with-1-55pj-bit-efficiency-in-7nm-cmos/
CATEGORIES:Solid-State Circuits
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210128T180000
DTEND;TZID=America/Toronto:20210128T200000
DTSTAMP:20260423T075643
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002407Z
UID:10000345-1611856800-1611864000@www.ieeetoronto.ca
SUMMARY:IndustrioTech© Seminars - Smart Maintenance
DESCRIPTION:IEEE Toronto WIE and IM/RA is hosting “IndustrioTech”\, a series of seminars on Smart Maintenance (Predictive Maintenance) using variety of technologies. \nDay & Time: Thursday\, January 28\, 2021\n6:00 p.m. – 8:00 p.m. \nSpeakers & Topics: \nDr. Ahmad Barari\nDirector of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories\, Associate Professor at University of Ontario Institute of Technology\nTopic: LIVE Simulation for Predictive Maintenance \nMohsen Tayefeh\nIndustry 4.0 strategic Business manager\, CAD MicroSolutions\nTopic: Imperative foundations toward Smart Maintenace: Matching up the Technology with the Business Value \nShafiul Alam\nResearch Engineer McMaster Manufacturing Research Institute (MMRI)\nTopic: Predictive Maintenance and Industry 4.0 (Case study Honda manufacturing plant) \nDr. Amir Harandi\nCEO\, Artintech Inc.\nTopic: ML and GA: Artificial Intelligent techniques in Smart Maintenance \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nRegister: Please visit here to register.
URL:https://www.ieeetoronto.ca/event/industriotech-seminars-smart-maintenance/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210205T100000
DTEND;TZID=America/Toronto:20210205T120000
DTSTAMP:20260423T075643
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002436Z
UID:10000347-1612519200-1612526400@www.ieeetoronto.ca
SUMMARY:Project-based Python Workshop 3
DESCRIPTION:On Friday\, February 5\, 2021 at 10:00 a.m.\, IEEE Toronto WIE will host a Python workshop\, “How to Use LSTM for Text and Time Series Classification”. \nDay & Time: Friday\, February 5\, 2021\n10:00 a.m. – 12:00 p.m. \nSpeaker(s): Enas Tarawneh \nOrganizer(s): IEEE Toronto WIE\, York University WiCSE \nLocation: Virtual \nContact: Hina Tabassum \nAbstract: \nThis workshop focuses on how to classify or label text using bi-LSTM RNNs. It includes pre-processing/cleaning of the text and handling severely imbalanced classes using SMOTE\, oversampling\, under-sampling\, class count\, and log smoothen weights. Using different types of LSTM such as vanilla LSTM\, and Bi-LSTM\, we focus on time series problems with categorical data.  In summary\, this workshop will cover: \na) Preprocessing text and data\nb) Handling imbalanced datasets\nc) Use different types of LSTMs for text and time series classification\nd) Produce meaningful classification reports \nRegister: Please visit http://bit.ly/39IQFXd to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship.  Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/project-based-python-workshop-3/
CATEGORIES:Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210208T110000
DTEND;TZID=America/Toronto:20210208T123000
DTSTAMP:20260423T075643
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002521Z
UID:10000349-1612782000-1612787400@www.ieeetoronto.ca
SUMMARY:Glide symmetries: a new degree of freedom for the design of periodic structures
DESCRIPTION:On Monday\, February 8\, 2021 at 11:00 a.m.\, IEEE Antennas and Propagation Society is hosting “Glide Symmetries: A New Degree of Freedom for the Design of Periodic Structures”. \nDay & Time: Monday\, February 8\, 2021\n11:00 a.m. – 12:30 p.m. \nSpeaker: Oscar Quevedo-Teruel of KTH Royal Institute of Technology \nOrganizer(s): IEEE Antennas and Propagation Society \nLocation: Virtual – Zoom \nContact: George Eleftheriades \nAbstract: \nGlide symmetries were employed for electromagnetic purposes during the 60s and 70s. Those works were focused on one-dimensional structures with potential application in low-dispersive leaky wave antennas. However\, the development of planar/printed technologies in the 80s and 90s associated to their low-cost for low-frequency applications\, the studies of glide symmetries stopped. \nIn the beginning of the 21st century\, with arrival of metamaterials\, there was a significant development of the understanding of periodic structures\, and new methods of analysis were introduced. This theoretical development\, together with the interest of industry in mm-waves\, particularly for communications systems such as 5G\, created an opportunity to explore the possibilities of glide symmetries\, especially in two-dimensional configurations. \nGlide-symmetric structures has recently attracted the attention of researchers due to their attractive properties for practical applications. Among their interesting properties are low-dispersive responses in fully metallic structures such as parallel plate or co-planar waveguides (CPW)\, bandgaps associated to the symmetries and large electromagnetic bandgaps (EBGs). \nIn this talk\, Dr. Quevedo-Teruel will describe the most significant works in glide symmetries\, including their application for the design of gap-waveguide technology and planar lens antennas with steerable angles of radiation. \nRegister: Please visit https://events.vtools.ieee.org/m/256420 to register. \nBiography: \n\n\n\nOscar Quevedo-Teruel is a Senior Member of the IEEE. He received his Telecommunication Engineering Degree from Carlos III University of Madrid\, Spain in 2005\, part of which was done at Chalmers University of Technology in Gothenburg\, Sweden. He obtained his Ph.D. from Carlos III University of Madrid in 2010 and was then invited as a postdoctoral researcher to the University of Delft (The Netherlands). From 2010-2011\, Dr. Quevedo-Teruel joined the Department of Theoretical Physics of Condensed Matter at Universidad Autonoma de Madrid as a research fellow and went on to continue his postdoctoral research at Queen Mary University of London from 2011-2013. \nIn 2014\, he joined the Division for Electromagnetic Engineering in the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm\, Sweden where he is an Associate Professor and Director of the Master Programme in Electromagnetics Fusion and Space Engineering. He has been an Associate Editor of the IEEE Transactions on Antennas and Propagation since 2018 and is the founder and editor-in-chief of the EurAAP journal Reviews of Electromagnetics. He was the EurAAP delegate for Sweden\, Norway\, and Iceland from 2018-2020 and he is now a member of the EurAAP Board of Directors. He is a distinguished lecturer of the IEEE Antennas and Propagation Society for the period of 2019-2022\, and Chair of the IEEE APS Educational Initiatives Programme since 2020. \nHe has made scientific contributions to higher symmetries\, transformation optics\, lens antennas\, metasurfaces\, leaky wave antennas\, and high impedance surfaces. He is the co-author of 95 journal papers and 150 at international conferences.
URL:https://www.ieeetoronto.ca/event/glide-symmetries-a-new-degree-of-freedom-for-the-design-of-periodic-structures/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210211T145000
DTEND;TZID=America/Toronto:20210211T155000
DTSTAMP:20260423T075643
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T002715Z
UID:10000351-1613055000-1613058600@www.ieeetoronto.ca
SUMMARY:Design And Analysis Of Chiplet Interfaces For Heterogeneous Systems
DESCRIPTION:On Thursday\, February 11\, 2021 at 2:50 p.m.\, Wendem Tsegaye Beyene will present the talk “Design And Analysis Of Chiplet Interfaces For Heterogeneous Systems”. \nDay & Time: Thursday\, February 11\, 2021\n2:50 p.m. – 3:50 p.m. \nSpeaker: Wendem Tsegaye Beyene \nOrganizer(s): IEEE Silicon Valley/SF Bay Area Electronics Packaging Chapter \nLocation: Virtual – Directions for connecting with the WebEx stream will be sent via email to all registrants 1-2 days prior to the event. \nContact: Durand Jarrett-Amor\, Annette Teng \nAbstract: The chiplet interface allows multiple silicon dies of various technologies and complexities to communicate efficiently using larger parallel interconnects in a single package. The second layer of interconnect on the package (silicon or organic interposer) provides dense channels as well as low impedance power delivery paths between multiple independent power domains. Although the channels are very short and the I/O power can be reduced by an order of magnitude\, the huge increase in the transient current in multiple dies and the unique clocking architecture makes the supply noise and timing jitter the limiting factors in designing high-performance multi-die systems. This talk discusses the unique signal and power integrity challenges of chiplet interfaces. \nRegister: Please visit https://eps2102.eventbrite.com to register for this event. \nBiography: Wendem Beyene received his B.S. and M.S. degrees in Electrical Engineering from Columbia University\, and his Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign. In the past\, he was employed by IBM\, Hewlett-Packard\, Agilent Technologies and Rambus Inc. He also worked as a principal Engineer with Intel Corp. managing a team working on modeling and analysis of power-delivery and signaling systems of digital-core and mixed-signal I/O subsystems of FPGA chips. He is an elected Associate Fellow of the Ethiopian Academy of Sciences\, and has been selected as a Distinguished Llecturer for IEEE EPS as well as for IEEE EMCS Society.
URL:https://www.ieeetoronto.ca/event/design-and-analysis-of-chiplet-interfaces-for-heterogeneous-systems/
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210218T180000
DTEND;TZID=America/Toronto:20210218T210000
DTSTAMP:20260423T075643
CREATED:20210430T023721Z
LAST-MODIFIED:20210504T203454Z
UID:10000353-1613671200-1613682000@www.ieeetoronto.ca
SUMMARY:Derivative Data Security using Artificial Intelligence
DESCRIPTION:Recorded Material: Please click here to view the recorded technical talk. \nOn Thursday\, February 18\, 2021 at 6:00 p.m.\, IEEE Computer Chapter is hosting the technical talk “Derivative Data Security using Artificial Intelligence”. \nDay & Time: Thursday\, February 18\, 2021\n6:00 p.m. – 9:00 p.m. \nSpeaker: Zia Babar \nOrganizer: IEEE Toronto Computer Chapter \nLocation: Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. \nContact: Younas Abbas \nAbstract: \nData security the most dynamic and ever evolving trade becomes even significant while dealing with large volumes of unstructured data. To comply with regulation and standards like GDPR it is important to understand\, equip and keep abreast of new tools and techniques in data security. \nEnterprises are increasingly storing large volumes of unstructured data. However\, irrespective of the data format or type\, unstructured data is difficult to secure and control its transfer. This is a major problem due to evolving compliance policies and the need to adhere to standards such as GDPR. Through derivative data security practices\, enterprises can utilize machine learning and deep learning techniques to determine and trace clones and derivatives of unstructured data across the enterprise. In this talk\, Zia Babar will provide a background on data security approaches\, and provide a demonstration on machine learning and deep learning techniques can be used for providing derivative data security. \nRegister: Please visit https://events.vtools.ieee.org/m/252704 to register. \nBiography: \nZia Babar (https://www.linkedin.com/in/zbabar/) has 20 years of professional industry experience\, He has deep expertise in the design\, development and deployment of enterprise applications\, data engineering platforms and distributed systems\, with a particular focus on incorporating machine learning practices and cognitive services into software applications. Zia obtained his PhD from the University of Toronto where his research studies focused on the analysis and design of cognitive systems for enabling enterprise transformation. He is presently the Director of Research and Development at WinMagic. Previously\, he worked in companies like Teradata where he developed Teradata’s first ML framework\, NCR where he was responsible for designing and developing large-scale data processing systems\, and Luminous Networks (acquired by Cisco) where he designed and built distributed systems. He is also presently engaged in a multi-year research engagement with IBM Research Labs and is a startup technical mentor at WeWork Labs. Further\, he is the organizer of multiple technology meetup groups in both Toronto and Waterloo\, and a frequent speaker at technical events and conferences.
URL:https://www.ieeetoronto.ca/event/derivative-data-security-using-artificial-intelligence/
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210223T133000
DTEND;TZID=America/Toronto:20210223T143000
DTSTAMP:20260423T075643
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T002947Z
UID:10000354-1614087000-1614090600@www.ieeetoronto.ca
SUMMARY:Isola High Speed Materials and Copper Foil Selection
DESCRIPTION:On Tuesday\, February 23\, 2021 at 1:30 p.m.\, Michael J. Gay from Isola will present the technical presentation “Isola High Speed Materials and Copper Foil Selection“. \nDay & Time: Tuesday\, February 23\, 2021|\n1:30 p.m. – 2:30 p.m. \nSpeaker: Michael J. Gay \nOrganizer(s): IEEE KW EMC/MAG joint Chapter\, University of Toronto AP Student Chapter \nLocation: Virtual – WebEx \nContact: Ming Chang Wang\, Parinaz Naseri \nAbstract: \nAre you running 10Gbps+ signal channel in your system? \nWhat PCB materials are suitable for 10Gbps+ application? \nHow copper layer surface roughness affecting Signal Integrity\, RF\, etc? \nIEEE KW EMC/MAG joint Chapter and University of Toronto AP Student Chapter invite you to join this technical presentation of “Isola High Speed Materials and Copper Foil Selection” by Michael J. Gay from Isola. \nThis event will be recorded for Asia Region attendees. Please register even you are not able to join live\, so that you will be provided for a link with the recorded version later. \nAgenda: \n\nSI (Signal Integrity) Performance – Laminate versus SITV (Signal Integrity Test Vehicle) testing\nTech road map\nComparing Isola HSD product options\nCopper foil performance factors\nIsola Product Stack\nIsola foil testing method and results\n\nRegister: Please visit https://events.vtools.ieee.org/m/260528 to register. \nBiography: \nMichael J. Gay currently holds the position of Director\, High Performance Products with Isola. Michael has been with Isola for 20 years and has 25 years of experience in laminate and PCB manufacturing industries. He has held various positions at Isola which include Technical Sales Manager and Director Emerging Products Asia Pacific Region where his responsibilities ranged from new product introduction\, PCB process development and technical support and troubleshooting for Isola customers. Since returning from his role in Asia\, he has worked closely with major industry OEM’s to develop and qualify Isola materials for the next generation of technology. \nMichael is also active in various PCB industry organizations where he currently provides technical expertise to industry critical committees and projects. He received his Bachelor of Science in Mechanical Engineering and Masters of Business Administration from Portland State University.
URL:https://www.ieeetoronto.ca/event/isola-high-speed-materials-and-copper-foil-selection/
LOCATION:Kitchener\, Ontario Canada
CATEGORIES:Magnetics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210304T140000
DTEND;TZID=America/Toronto:20210304T150000
DTSTAMP:20260423T075643
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T003210Z
UID:10000356-1614866400-1614870000@www.ieeetoronto.ca
SUMMARY:CAS Distinguished Lecture - Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine
DESCRIPTION:Date & Time: March 4\, 2021\n2:00 P.M. – 3:00 P.M. \nSpeaker(s): Dr. Shimeng Yu \nLocation: Virtual \nContact: Wagih Ismail \nAbstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in the deep learning inference engine. SRAM and resistive random access memory (RRAM) are identified as two promising embedded memories to store the weights of the deep neural network (DNN) models. In this seminar\, first I will review the recent progresses of SRAM and RRAM-CIM macros that are integrated with peripheral analog-to-digital converter (ADC). The bit cell variants (e.g. 6T SRAM\, 8T SRAM\, 1T1R\, 2T2R) and array architectures that allow parallel weighted sum are discussed. State-of-the-art silicon prototypes are surveyed with normalized metrics such as energy efficiency (TOPS/W). Second\, we will discuss the array-level characterizations of non-ideal device characteristics of RRAM\, e.g. the variability and reliability of multilevel states\, which may negatively affect the inference accuracy. Third\, I will discuss the general challenges in CIM chip design with regards to the imperfect device properties\, ADC overhead\, and chip to chip variations. Finally\, I will discuss future research directions including monolithic 3D integration of memory tier on top of the peripheral logic tier. \nBiography: \nShimeng Yu is currently an associate professor of electrical and computer engineering at Georgia Institute of Technology. He received the B.S. degree in microelectronics from Peking University in 2009\, and the M.S. degree and Ph.D. degree in electrical engineering from Stanford University in 2011 and 2013\, respectively. From 2013 to 2018\, he was an assistant professor at Arizona State University. \nProf. Yu’s research interests are the semiconductor devices and integrated circuits for energy-efficient computing systems. His research expertise is on the emerging non-volatile memories for applications such as deep learning accelerator\, in-memory computing\, 3D integration\, and hardware security. \nAmong Prof. Yu’s honors\, he was a recipient of NSF Faculty Early CAREER Award in 2016\, IEEE Electron Devices Society (EDS) Early Career Award in 2017\, ACM Special Interests Group on Design Automation (SIGDA) Outstanding New Faculty Award in 2018\, Semiconductor Research Corporation (SRC) Young Faculty Award in 2019\, ACM/IEEE Design Automation Conference (DAC) Under-40 Innovators Award in 2020\, and IEEE Circuits and Systems Society (CASS) Distinguished Lecturer for 2021-2022\, etc. \nProf. Yu served or is serving many premier conferences as technical program committee\, including IEEE International Electron Devices Meeting (IEDM)\, IEEE Symposium on VLSI Technology\, IEEE International Reliability Physics Symposium (IRPS)\, ACM/IEEE Design Automation Conference (DAC)\, ACM/IEEE Design\, Automation & Test in Europe (DATE)\, ACM/IEEE International Conference on Computer-Aided-Design (ICCAD)\, etc. He is a senior member of the IEEE. \nEmail: shimeng.yu@ece.gatech.edu
URL:https://www.ieeetoronto.ca/event/cas-distinguished-lecture-circuit-design-and-silicon-prototypes-for-compute-in-memory-for-deep-learning-inference-engine/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210309T130000
DTEND;TZID=America/Toronto:20210309T140000
DTSTAMP:20260423T075643
CREATED:20210430T023722Z
LAST-MODIFIED:20210809T204940Z
UID:10000358-1615294800-1615298400@www.ieeetoronto.ca
SUMMARY:Classifying Holes\, Voids\, Negative Objects and Nothing and Quantum Computing
DESCRIPTION:Date: Tuesday\, March 9\, 2021 \nTime: 1:00 p.m. – 2:00 p.m. \nSpeakers: Katrina Hooper\, Javaid Iqbal Zahid \nLocation: Virtual – Zoom \nOrganizers: IEEE Toronto WIE \nContact: Maryam Davoudpour \nAbstracts:  \nIn the fields of Urban Search and Rescue (USAR)\, Search and Rescue (SAR) and autonomous travel\, understanding the entirety of the environment is an asset and most times a requirement. For example\, in USAR\, it is in the spaces between objects within a rubble pile\, which are a type of negative objects\, where trapped people can be found and where structural instabilities are located. While most research focuses on classifying positive objects\, we work to build a framework to understand negative objects and a set of standardized terminology to discuss and classify them. This presentation will discuss the necessity for creating a lexicon for negative objects\, exhibit applications of negative object research\, and suggest a starting point for vocabulary to reduce ambiguity around classes of negative objects. Furthermore\, we aim to spark a discussion about negative object research and suggest a starting point for a novel research area. \nQuantum computing is one of the emerging technologies for the future. Quantum computing is based on the principles of quantum mechanics and fuses beautifully with computer science. It is often in the news when computing supremacy is discussed. Governments and big technology companies like\, IBM\, Google\, Microsoft\, Intel\, etc. along with private partners\, are heavily investing in this technology. Quantum mechanics is based on counterintuitive properties like superposition\, entanglement\, and interference that make it different from classical computing. It is expected to outperform classical computing in certain areas of applications\, like medical science\, computer science\, and cryptography\, to name a few. In this talk\, we will discuss the fundamentals of quantum computing with an introduction to the principle/properties of quantum mechanics\, its usefulness for representing information\, and what operations can be performed on the information represented by Qubits. While quantum gates\, the fundamental information processing units of quantum computing are based on mathematical constructs from Linear Algebra and Probability\, classical computing is based on Boolean Algebra and Logics gates. A number of possibilities for representing and processing quantum information are much larger than classical computing – hence the promise of larger computer power of quantum computing. \nBiographies: \nKatrina Hooper \nKatrina is in her final year in her Computer Science Masters at Ryerson University. She holds an Honors BSc. from the University of Toronto with a specialist in Physics and a minor in Mathematics. Her interests are in the development of negative object research and imitation learning for chess engines. Under the supervision of Dr. Alex Ferworn\, she works to build a lexicon and a classifier for negative objects. \nJavaid Iqbal Zahid \nMr. Javaid Iqbal Zahid is currently a PhD student in Department of Computer Science\, Ryerson University\, and is supervised by Dr. Alex Ferworn. Mr. Javaid holds Bachelor of Science degree in Telecommunication Engineering and Master of Science degree in Electrical Engineering\, specializing in Communications and Computing. Additionally\, he obtained advanced training in\nCryptology and Wireless communications. Inspired by Dr. Claude E. Shannon\, he has special interest in information theory\, cryptography. He has been involved in deployment and operations of data networks and datacenters for a large government organization. He has also been acting as chief information security officer (CISO). At Ryerson\, he is currently conducting research in quantum computing with special attention in quantum cryptography. He is member of IEEE Computer\, Communication\, and Information Theory Societies.
URL:https://www.ieeetoronto.ca/event/classifying-holes-voids-negative-objects-and-nothing-and-quantum-computing/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210310
DTEND;VALUE=DATE:20210317
DTSTAMP:20260423T075643
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204929Z
UID:10000363-1615334400-1615939199@www.ieeetoronto.ca
SUMMARY:Integrated Broadband Analog Delay Circuits
DESCRIPTION:Recording: Click here to view Part I of the talk. \n\nThe humble analog delay is simple in principle but complicated in practice. Analog delays are useful in analog filters\, distributed amplifiers\, and time-interleaved or pipelined analog signal processing. Unfortunately\, it can be quite tricky to delay a continuous-time broadband analog waveform without distortion on an integrated circuit! Over the past two decades\, our lab has repeatedly encountered the need for integrated broadband analog delays and has done much work on their implementation. Now that CMOS technologies can readily process analog signals with 10’s of GHz of bandwidth\, analog delays less than one nanosecond are being used in new and creative ways. This talk reviews delay approximation and the implementation of delays from 10’s to 100’s of picoseconds having bandwidths up to 10’s of GHz. Case studies are presented using the analog delay circuits in FIR and IIR filters for wireline transceivers and in high-speed data converters. \nPart I\nDate: 10 Mar 2021 \nTime: 04:10 PM to 05:00 PM \nLocation: Virtual \nOrganizer(s): IEEE Toronto SSCS \nContact: Toronto Section Chapter\, SSC37 \nPart II\nDate: 16 Mar 2021 \nTime: 04:10 PM to 05:40 PM \nLocation: Virtual \nOrganizer(s): IEEE Toronto SSCS \nContact: Toronto Section Chapter\, SSC37 \n\nSpeaker(s): Anthony Chan Carusone \nBiography: Prof. Tony Chan Carusone has taught and researched integrated circuits and systems at the University of Toronto since completing his Ph.D. there in 2002. He and his graduate students have received seven best-paper awards at leading conferences for their work on chip-to-chip and optical communication circuits\, analog-to-digital conversion\, and precise clock generation. Prof. Chan Carusone was a Distinguished Lecturer for the IEEE Solid-State Circuits Society 2015-2017 and currently serves on the Technical Program Committee of the International Solid-State Circuits Conference. He has co-authored the latest editions of the classic textbooks “Analog Integrated Circuit Design” along with D. Johns and K. Martin\, and “Microelectronic Circuits” along with A. Sedra and K.C. Smith. He was Editor-in-Chief of the IEEE Transactions on Circuits and Systems II: Express Briefs in 2009\, an Associate Editor for the IEEE Journal of Solid-State Circuits 2010-2017 and is now Editor-in-Chief of the IEEE Solid-State Circuits Letters.
URL:https://www.ieeetoronto.ca/event/integrated-broadband-analog-delay-circuits-part-ii/
LOCATION:Toronto\, Canada
CATEGORIES:Solid-State Circuits
END:VEVENT
END:VCALENDAR