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DTSTART;TZID=America/Toronto:20210730T120000
DTEND;TZID=America/Toronto:20210730T133000
DTSTAMP:20260523T012748
CREATED:20210525T165426Z
LAST-MODIFIED:20210809T210240Z
UID:10000418-1627646400-1627651800@www.ieeetoronto.ca
SUMMARY:Integrated Access and Backhaul for 5G and Beyond
DESCRIPTION:Note: Virtual platform will be delivered to registrants a couple of hours before starting the event. \nContact: IEEE Montreal Section Young Professionals \nAbstract: The number of devices requesting for wireless communications is growing exponentially. Network densification via the deployment of many base stations (BSs) of different types is one of the mechanisms that can be employed to satisfy the ever-increasing demand for bandwidth/capacity in wireless networks. However\, deploying fiber to the small cells may be expensive and impractical when the number of small cells increases. For this reason\, as well as because of the traffic jams and infrastructure displacements caused by fiber optic installation\, millimeter wave (mmw)-based wireless backhaul is currently considered as an alternative\, providing (almost) the same rate as fiber optic with significantly less price and no digging. With this background\, integrated access and backhaul (IAB) networks\, where the operator can utilize part of the radio resources for wireless backhauling\, has recently received considerable attention. The purpose of IAB is to replace existing backhaul systems with flexible wireless backhaul using the existing 3GPP bands providing not only backhaul but also existing cellular services in the same node. This creates more flexibility and reduces the implementation cost. For 5G NR\, IAB is currently considered as a work item in 3GPP\, and it is known as one of the main novelties of 5G. In this talk\, we review the main backhauling techniques\, and present the main motivations/standardization agreements on IAB. Moreover\, We present comparisons between the IAB networks and the cases where all or part of the small access points are fiber-connected. Finally\, we study the robustness of IAB networks to environmental effects and verify the effect of the blockage\, the tree foliage\, the rain as well as the antenna height/gain on the coverage rate of IAB setups\, as the key differences between the fiber-connected and IAB networks. As we show\, IAB is an attractive setup enabling 5G and beyond.
URL:https://www.ieeetoronto.ca/event/integrated-access-and-backhaul-for-5g-and-beyond/
LOCATION:Virtual – Zoom
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210708T150000
DTEND;TZID=America/Toronto:20210708T160000
DTSTAMP:20260523T012748
CREATED:20210525T165425Z
LAST-MODIFIED:20210809T205411Z
UID:10000417-1625756400-1625760000@www.ieeetoronto.ca
SUMMARY:From an Idea to a Startup
DESCRIPTION:We are living in the age of innovation. Every day\, innovators are solving many problems that people are facing in life. In the process of innovation\, there are many questions about how we can find problems. What is innovation exactly? How can we find solutions? And how can we learn the innovation process? \nI am Masoud Valinejad\, CEO-Director of technology in NovoSolTech Company\, and innovation mentor with more than five-year experience\, with 10 USA patents\, and more than five national and international special prizes in innovation competitions. In this webinar\, I want to show you how you can become an innovator and entrepreneur through some steps and practices. \nContact: Ayda Naserialiabadi
URL:https://www.ieeetoronto.ca/event/from-an-idea-to-a-startup/
LOCATION:Virtual – Zoom
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210628T180000
DTEND;TZID=UTC:20210628T193000
DTSTAMP:20260523T012748
CREATED:20210617T220318Z
LAST-MODIFIED:20210809T205400Z
UID:10000434-1624903200-1624908600@www.ieeetoronto.ca
SUMMARY:IEEE VDL: Machine Learning for Wireless Communications and Networking: Motivations\, Case Studies\, and Open Problems
DESCRIPTION:On Monday\, June 28\, 2021\, come listen to Dr. Shiwen Mao present the IEEE ComSoc VDL: Machine Learning for Wireless Communications and Networking: Motivations\, Case Studies\, and Open Problems. \nZOOM link will be provided to attendees. \nContact: IEEE Denver ComSoc \nAbstract: \nWhile 5G deployment is being carried out in many places of the world\, there has been great interest in the prospects of 5G beyond and the next generation. Among the various visions\, a common theme is that artificial intelligence will play a key role\, as evidenced by the great interest and advances in machine learning enabled wireless communications and networking. In this talk\, we will discuss the motivation\, potential\, and challenges of incorporating machine learning in wireless communications and networking for 5G and beyond systems. \nWe will start with two motivating examples\, i.e.\, channel estimation and mobile edge computing\, to show why machine learning could be helpful. We will share our experience of several case studies\, including (i) a hybrid approach to the classical energy efficiency maximization problem\, where traditional models could be used to train a deep learning model; (ii) data augmentation for convolutional neural network (CNN) based automatic modulation classification (AMC)\, where a conditional generative adversarial network (CGAN) is utilized to generate synthesized training data; and (iii) and an adaptive model for RFID-based 3D human skeleton tracking\, which utilizes meta-learning and few-shot fine-tuning to achieve high adaptability to new environments. We will conclude this talk with a discussion of challenges and open problems. \nSpeaker(s): Dr. Shiwen Mao \nBiography: \n \nShiwen Mao [S’99-M’04-SM’09-F’19] received his Ph.D. in electrical engineering from Polytechnic University\, Brooklyn\, NY in 2004. He was a postdoc at Virginia Tech from 2004 to 2006\, and joined Auburn University\, Auburn\, AL as an assistant professor of Electrical and Computer Engineering in 2006. He held the McWane Endowed Professorship from 2012 to 2015 and the Samuel Ginn Endowed Professorship from 2015 to 2020. Currently\, he is a professor and Earle C. Williams Eminent Scholar Chair\, and Director of the Wireless Engineering Research and Education Center at Auburn University. His research interest includes wireless networks\, multimedia communications\, and smart grid. He is on the editorial board of several IEEE and ACM journals. He is a Distinguished Lecturer of IEEE Communications Society and IEEE Council of RFID\, and a Distinguished Speaker of IEEE Vehicular Technology Society. He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019 and NSF CAREER Award in 2010. He is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award. \nAgenda: \n6pm (MT) – Introductions \n6:10-7:15 – VDL Presentation \n7:15-7:30 – Q&A
URL:https://www.ieeetoronto.ca/event/machine-learning-for-wireless-communications-and-networking-motivations-case-studies-and-open-problems/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210624T110000
DTEND;TZID=UTC:20210624T123000
DTSTAMP:20260523T012748
CREATED:20210617T220318Z
LAST-MODIFIED:20210809T205348Z
UID:10000432-1624532400-1624537800@www.ieeetoronto.ca
SUMMARY:IEEE VDL: Learning to Learn to Communicate
DESCRIPTION:Join us on Thursday\, June 24\, 2021 for the IEEE VDL: Learning to Learn to Communicate\, presented by Prof. Osvaldo Simeone. \nContact: IEEE Kingston ComSoc \nAbstract: \nThe application of supervised learning techniques for the design of the physical layer of a communication link is often impaired by the limited amount of pilot data available for each device; while the use of unsupervised learning is typically limited by the need to carry out a large number of training iterations. In this talk\, meta-learning\, or learning-to-learn\, is introduced as a tool to alleviate these problems. The talk will consider an Internet-of-Things (IoT) scenario in which devices transmit sporadically using short packets with few pilot symbols over a fading channel. The number of pilots is generally insufficient to obtain an accurate estimate of the end-to-end channel\, which includes the effects of fading and of the transmission-side distortion. To tackle this problem\, pilots from previous IoT transmissions are used as meta-training data in order to train a demodulator that is able to quickly adapt to new end-to-end channel conditions from few pilots. Various state-of-the-art meta-learning schemes are adapted to the problem at hand and evaluated\, including MAML\, FOMAML\, REPTILE\, and CAVIA. Both offline and online solutions are developed. \nSpeaker(s): Prof. Osvaldo Simeone \nBiography: \nOsvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King’s College London\, where he directs the King’s Communications\, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano\, Milan\, Italy\, in 2001 and 2005\, respectively. From 2006 to 2017\, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT)\, where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory\, machine learning\, wireless communications\, and neuromorphic computing. Dr Simeone is a co-recipient of the 2019 IEEE Communication Society Best Tutorial Paper Award\, the 2018 IEEE Signal Processing Best Paper Award\, the 2017 JCN Best Paper Award\, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF\, the ERC\, the Vienna Science and Technology Fund\, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the vice-chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Dr Simeone is a co-author of two monographs\, two edited books published by Cambridge University Press\, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE.
URL:https://www.ieeetoronto.ca/event/ieee-vdl-learning-to-learn-to-communicate/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210621T110000
DTEND;TZID=UTC:20210621T123000
DTSTAMP:20260523T012748
CREATED:20210617T220317Z
LAST-MODIFIED:20210809T205324Z
UID:10000430-1624273200-1624278600@www.ieeetoronto.ca
SUMMARY:IEEE VDL: Intelligent Reflected Surfaces for Future Wireless Systems
DESCRIPTION:Join the IEEE Kingston ComSoc and IEEE Toronto ComSoc for the Virtual Distinguished Lecture “Intelligent Reflected Surfaces for Future Wireless Systems”\, presented by Dr. Shahid Mumtaz. \nContact: IEEE Kingston ComSoc \nAbstract:  \nAs we have finalized the research for 5G\, now there is a race for technologies that will conquer 6G. The 6G  technologies will achieve much better latency and computation efficiency as compared to 5G. From 1G to 5G\, almost all research and standardization randomly model the wireless channel between transmitter and receiver. There is no control of humans over a wireless medium\, as it is given by nature. In 6G\, we will break this assumption and go from random wireless channels to controllable wireless. Thanks to Intelligent Reflected Surfaces for Future Wireless System(IRS). This talk will explain in detail the physics of metasurface and the progress of IRS till today. This talk will also present different use case\, study cases\, signal processing and communication techniques for IRS\, standardization\, Prototype and testbed\, and the open research challenges. \nSpeaker(s): Dr. Shahid Mumtaz \nBiography: \nShahid Mumtaz is an IET Fellow\, IEEE ComSoc and ACM Distinguished speaker\, recipient of IEEE ComSoC Young Researcher Award (2020)\, IEEE Senior member\, founder and EiC of IET “Journal of Quantum communication”\, Vice-Chair: Europe/Africa Region- IEEE ComSoc: Green Communications & Computing society and Vice-chair for IEEE standard on P1932.1: Standard for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks. \nHe has more than 15 years of wireless industry/academic experience. He has received his Master’s and Ph.D. degrees in Electrical & Electronic Engineering from Blekinge Institute of Technology\, Sweden\, and University of Aveiro\, Portugal in 2006 and 2011\, respectively. From 2002 to 2003\, he worked for Pak Telecom as System Engineer and from 2005 to 2006 for Ericsson and Huawei at Research Labs in Sweden. He has been with Instituto de Telecomunicações since 2011 where he currently holds the position of Auxiliary Researcher and adjunct positions with several universities across the Europe-Asian Region. \nHe is the author of 4 technical books\, 12 book chapters\, 250+ technical papers (170+ Journal/transaction\, 90+ conference\, 2 IEEE best paper award- in the area of mobile communications. He had/has supervised/co-supervising several Ph.D. and Master Students. He uses mathematical and system-level tools to model and analyze emerging wireless communication architectures\, leading to innovative theoretically optimal new communication techniques. He is working closely with leading R&D groups in the industry to transition these ideas to practice. He secures the funding of around 2M Euro.
URL:https://www.ieeetoronto.ca/event/ieee-vdl-intelligent-reflected-surfaces-for-future-wireless-systems/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210617T130000
DTEND;TZID=UTC:20210617T143000
DTSTAMP:20260523T012748
CREATED:20210614T213826Z
LAST-MODIFIED:20210809T205253Z
UID:10000426-1623934800-1623940200@www.ieeetoronto.ca
SUMMARY:IEEE VDL: Localization in Drone Assisted and Vehicular Networks
DESCRIPTION:Join the IEEE Kingston Communications Society Chapter for the Virtual Distinguished Lecture: Localization in Drone Assisted and Vehicular Networks\, presented by Shahrokh Valaee. \nContact: IEEE Kingston ComSoc \nAbstract: \nThe next generation of wireless systems will employ networking equipment mounted on mobile platforms\, unmanned air vehicles (UAV)\, and low orbit satellites. As a result\, the topology of 6G wireless technology will extend to 3D vertical networking. With its extended service\, 6G will also give rise to new challenges which include\, the introduction of intelligent reflective surfaces (IRS)\, the mmWave spectrum\, the employment of massive MIMO systems\, and the agility of networks. Along with the advancement in networking technology\, user devices are also evolving rapidly\, with the emergence of highly capable cellphones\, smart IoT equipment\, and wearable devices. One of the key elements of 6G technology is the need for accurate positioning information. The accuracy of today’s positioning systems is not acceptable for many applications of future\, especially in smart environments. In this talk\, we will discuss how positioning can be a key enabler of 6G\, and what challenges the next generation of localization technology will face when integrated within the new wireless networks. \nSpeaker(s): Shahrokh Valaee \nBiography: Shahrokh Valaee is a Professor with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering\, University of Toronto\, and the holder of Nortel Chair of Network Architectures and Services. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab) at the University of Toronto. Professor Valaee was the TPC Co-Chair and the Local Organization Chair of the IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011. He was the TCP Chair of PIMRC2017\, the Track Co-Chair of WCNC 2014\, the TPC Co-Chair of ICT 2015. He has been the guest editor for various journals. He was a Track Co-chair for PIMRC 2020 and VTC Fall 2020. From December 2010 to December 2012\, he was the Associate Editor of the IEEE Signal Processing Letters. From 2010 to 2015\, he served as an Editor of IEEE Transactions on Wireless Communications. Currently\, he is an Editor of Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada\, and a Fellow of IEEE.
URL:https://www.ieeetoronto.ca/event/ieee-vdl-localization-in-drone-assisted-and-vehicular-networks/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210611T143000
DTEND;TZID=UTC:20210611T153000
DTSTAMP:20260523T012748
CREATED:20210614T213826Z
LAST-MODIFIED:20210809T205239Z
UID:10000425-1623421800-1623425400@www.ieeetoronto.ca
SUMMARY:Protect the Privacy\, Security\, and Integrity of APIs
DESCRIPTION:TeejLab’s mission: \nProtect the privacy\, security\, and integrity of APIs at a global scale by building Data Science and Artificial Intelligence driven API management solutions to help enterprises with API Governance.  Learn more about TeejLab: https://apidiscovery.teejlab.com. \nContact: Mehrdad Tirandazian \nAbstract: \nSoftware development is becoming increasingly reliant on using third-party services accessed through APIs. These APIs connect various IT systems and processes with people to offer useful services that help us run our businesses and personal lives.  API integration may be simple\, but APIs may directly or indirectly expose your IT assets and Databases to unofficial or illegitimate use. This talk aims to help students understand the overall implications of API\, including information security\, data management\, legal risk management\, and licensing costs. \nSpeaker(s): Dr. Baljeet Baljeet of TeejLab \nBiography: \nDr. Malhotra is an award-winning researcher known for his work in Open Source and API data management. He conceptualized the world’s first “API Composition Analysis” based on source code static analysis. He founded TeejLab in 2017 and steered the team to build\, API Discovery™\, world’s first comprehensive end-to-end API Management platform. He also established R&D unit of Black Duck Software in 2016 (acquired for US $565M by Synopsys). Previously\, he was Research Director at SAP (2011-2016)\, Computational Scientist at the EOS Lab (2009) and Software Engineer at Satyam Computers (1999). He received a PhD in Computing Science from the University of Alberta. He was awarded NSERC (Canada) scholar in 2005\, and Global Young Scientist (Singapore) in 2011. He concurrently holds Adjunct Professor positions at the University of British Columbia\, University of Victoria and University of Northern BC.
URL:https://www.ieeetoronto.ca/event/protect-the-privacy-security-and-integrity-of-apis/
LOCATION:Virtual – Zoom
CATEGORIES:Systems
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210608T180000
DTEND;TZID=America/Toronto:20210608T190000
DTSTAMP:20260523T012748
CREATED:20210601T191940Z
LAST-MODIFIED:20210809T205005Z
UID:10000423-1623175200-1623178800@www.ieeetoronto.ca
SUMMARY:Advanced OrCad Workshop
DESCRIPTION:IEEE Seneca is offering an advanced OrCad Workshop.\nWe will be reinforcing ETD555 concepts and learn about following topics: \n\nTransistor circuits (PNP\, NPN\, Darlington and MOSFETS)\nComponents such as IRF840\, IRF9510\, TIP122\, TIP127\, 2N3904\, and 2N3906\n\nTo amplify the experience\, please have OrCad installed or using virual commons to follow through the instructions. \nContact: IEEE Seneca \nSpeakers: Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/advanced-orcad-workshop/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210607T180000
DTEND;TZID=America/Toronto:20210607T190000
DTSTAMP:20260523T012748
CREATED:20210601T191549Z
LAST-MODIFIED:20210809T205028Z
UID:10000422-1623088800-1623092400@www.ieeetoronto.ca
SUMMARY:Basic OrCad Workshop
DESCRIPTION:IEEE Seneca is offering a basic OrCad Workshop.\nWe will be reinforcing ETY155 concepts and learn about following topics: \n– Simple resistor circuits\n– Voltage divider\n– Current divider concepts\n– Parallel circuits vs series circuits \nTo amplify the experience\, please have OrCad installed or use virual commons by Seneca to follow through the instruction. \nContact: IEEE Seneca \nSpeakers: Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/basic-orcad-workshop/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210604T160000
DTEND;TZID=America/Toronto:20210604T170000
DTSTAMP:20260523T012748
CREATED:20210520T163231Z
LAST-MODIFIED:20210809T205042Z
UID:10000416-1622822400-1622826000@www.ieeetoronto.ca
SUMMARY:[AP-S Seminar Series] Low Profile Antennas for Chip-to-Chip Data Communications: A Research Story\, Prof. Kathleen Melde
DESCRIPTION:Abstract: In this talk\, we present our recent research involving the development of low profile antennas that are used to replace wired interconnects in multi-chip modules in electronic packaging. This presentation will discuss the evolution of chip-compatible pattern adaptable mm-wave antenna modules to be used in massively multicore computers. The result is an enabling technology that overcomes technology bottlenecks that are prevalent when wired lines are used in interconnect busses. While device technologies have scaled\, the interconnection layers have not. The limits are in the pitch of the input and output (I/O) for chip-to-chip communications and losses due to physical transmission lines. This is a unique type of pattern adaptable antenna array in that the antenna patterns are in the same plane as the antenna elements. This is quite a departure from many other types of reconfigurable antennas where the patterns are broadside (90 degree angle) to the antennas. The approach is new in that it leverages mm-wave technology (60GHz) so that the antenna size is small. 60GHz allows the work to leverage the already-developed transceiver work done for WPAN technologies. 60GHz also has a natural attenuation at large transmission distances\, which means sufficient isolation and elimination of interference outside of the MCMC system. The research impacts antenna technology\, packaging technology (circuit stacking and advanced packaging)\, and wireless systems testing on an experimental testbed. The talk will focus on the story behind how the technology progresses and how the research unfolded along the way. \nContact: UofT AP-S Student Chapter
URL:https://www.ieeetoronto.ca/event/ap-s-seminar-series-low-profile-antennas-for-chip-to-chip-data-communications-a-research-story-prof-kathleen-melde/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210527T120000
DTEND;TZID=America/Toronto:20210527T130000
DTSTAMP:20260523T012748
CREATED:20210601T190546Z
LAST-MODIFIED:20210809T204803Z
UID:10000420-1622116800-1622120400@www.ieeetoronto.ca
SUMMARY:Integrated Terrestrial-Aerial-Satellite Networks: Key Enabler for the Super Smart Cities of the Future
DESCRIPTION:There have been rapid and exciting developments in recent years in satellite networks\, in particular\, in LEO mega-constellations such as SpaceX’s Starlink. Although less visible\, exciting developments have also been taking place in a certain type of aerial networks known as the high-altitude platform station (HAPS) systems\, such as the formation of HAPS Alliance which brings together the connectivity and aerospace industries. It is worth noting that the satellite and aerial networks discussions have been occurring exclusively in the context of remote and rural connectivity. A major concern in this context is the rather questionable business case; there is limited revenue in rural and remote regions. In this talk\, a novel vision will be presented for an integrated terrestrial-aerial-satellite networks architecture as a key enabler for the super smart cities of 2030s and beyond \nSpeaker: Dr. Halim Yanikomeroglu \nBiography: Dr. Halim Yanikomeroglu is a Professor at Carleton University\, Canada. He received his Ph.D. from the University of Toronto in 1998. He contributed to 4G/5G technologies and standards; his research focus in recent years has been on 6G and non-terrestrial networks (NTN). His extensive collaboration with industry resulted in 37 granted patents. He supervised or hosted in his lab around 140 postgraduate researchers. He co-authored IEEE papers with faculty members in 80+ universities in 25 countries. He is a Fellow of IEEE\, Engineering Institute of Canada\, and Canadian Academy of Engineering\, and an IEEE Distinguished Speaker for Communications Society (ComSoc) and Vehicular Technology Society (VTS). He is currently chairing the IEEE WCNC (Wireless Communications and Networking Conference) Steering Committee; he is also a member of PIMRC Steering Committee and ComSoc Emerging Technologies Committee. He served as the General Chair of two VTCs and Technical Program Chair/Co-Chair of three WCNCs. He chaired ComSoc Technical Committee on Personal Communications. He received several awards for his research\, teaching\, and service including IEEE ComSoc Fred W. Ellersick Prize (2021)\, IEEE VTS Stuart Meyer Memorial Award (2020)\, and IEEE ComSoc Wireless Communications Technical Committee Recognition Award (2018).
URL:https://www.ieeetoronto.ca/event/integrated-terrestrial-aerial-satellite-networks-key-enabler-for-the-super-smart-cities-of-the-future/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210526T200000
DTEND;TZID=America/Toronto:20210526T210000
DTSTAMP:20260523T012748
CREATED:20210506T165447Z
LAST-MODIFIED:20210809T204752Z
UID:10000413-1622059200-1622062800@www.ieeetoronto.ca
SUMMARY:Enriching Public Speaking and Networking
DESCRIPTION:Having good communication and networking skills are essential to succeed in any industry\, especially for engineering students. \nJoin our workshop to improve public speaking and gain networking skills from IEEE\, our special guest\, Ana Acioli. Ana has great experiences networking with other engineers in her field while being a student. She will share how she overcame the fear of public speaking\, her techniques\, and the resources she has been using to improve her communication skills. Furthermore\, take the chance to join our community IEEE\, an engineering student organization where we share our passion as potential engineering students. \nSpeakers: Ana Acioli\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/enriching-public-speaking-and-networking/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210521T150000
DTEND;TZID=America/Toronto:20210521T160000
DTSTAMP:20260523T012748
CREATED:20210504T165404Z
LAST-MODIFIED:20210809T204727Z
UID:10000410-1621609200-1621612800@www.ieeetoronto.ca
SUMMARY:The Analog Designer's Toolbox (ADT): Towards A New Paradigm for Analog IC Design
DESCRIPTION:The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Dr. Hesham Omran of Ain Shams University. \nThis event will be a virtual talk held on Zoom. The invitation will be sent to registerants. \nTopic: The Analog Designer’s Toolbox (ADT): Towards A New Paradigm for Analog IC Design \nAbstract: \nThe integrated circuit (IC) technology has witnessed an exponential advancement in the last decades and has changed every aspect in our life. On the other hand\, the analog IC design flow did not experience any major change since the introduction of Berkeley SPICE in the 1970s\, posing significant challenges to the design of complex systems and to the transfer of analog design expertise and knowledge. The Analog Designer’s Toolbox (ADT) is an analog EDA tool that addresses this problem by defining a new paradigm in analog IC design. ADT provides a turnkey solution that enables everyone to reap the benefits of the gm/ID design methodology powered by precomputed lookup tables (LUTs). At the device level\, ADT Device Xplore gives an easy interface to plot arbitrary design charts involving complex expressions. The designer can explore devices from different technologies at different corners and temperatures\, and extract simulator-accurate design points while taking second-order effects into consideration. At the block level\, ADT Design Xplore gives the designer the power of design space exploration\, constraints management\, live tuning\, and optimization\, all in a single cockpit without invoking the simulator. Moreover\, with a single click\, ADT can build the testbenches in the background and report the results from your favorite simulator. The aim of ADT is to boost productivity\, restore designer’s intuition\, and make the design process systematic\, optimized\, and fun! \nSpeaker: Hesham Omran \nBiography: \nDr. Hesham Omran received the B.Sc. (with honors) and M.Sc. degrees from Ain Shams University\, Cairo\, Egypt\, in 2007 and 2010\, respectively\, and the Ph.D. degree from King Abdullah University of Science and Technology (KAUST)\, Saudi Arabia\, in 2015\, all in Electrical Engineering. From 2008 to 2011\, he was a Design Engineer with Si-Ware Systems (SWS)\, Cairo\, Egypt\, where he worked on the circuit and system design of the first miniaturized FT-IR MEMS spectrometer (NeoSpectra)\, and a Research and Teaching Assistant with the Integrated Circuits Lab (ICL)\, Ain Shams University. From 2011 to 2016 he was a Researcher with the Sensors Lab\, KAUST. He held internships with Bosch Research and Technology Center\, CA\, USA\, and with Mentor Graphics\, Cairo\, Egypt. In 2016\, he rejoined the ICL\, Ain Shams University\, as an Assistant Professor. He developed and taught several advanced courses on different topics in the field of IC Design. Most of these courses are available on the Mastering Microelectronics YouTube channel with 4k+ subscribers. He co-founded Master Micro in 2020 to develop the Analog Designer’s Toolbox (ADT)\, a winner of the Egyptian ITIDA-TIEC startup incubation program. \nDr. Hesham has received several awards including the Egyptian State Encouragement Award for Engineering Sciences in 2019\, best paper award from the IEEE International Design and Test Conference in 2009\, and Academic Excellence Awards from KAUST and Ain Shams University in 2011 and 2002\, respectively. He has published 40+ papers in international journals and conferences. He serves as a reviewer for several international journals and conferences including IEEE Transactions on Circuits and Systems (TCAS) I & II\, IEEE Transactions on Instrumentation and Measurement\, and IEEE Transactions on Very Large Scale Integration Systems (TVLSI). His research interests are in the design of analog and mixed-signal integrated circuits\, and especially in analog and mixed-signal CAD tools and design automation. \nEmail: hesham.omran@master-micro.com
URL:https://www.ieeetoronto.ca/event/the-analog-designers-toolbox-adt-towards-a-new-paradigm-for-analog-ic-design/
LOCATION:Virtual – Zoom
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210514T110000
DTEND;TZID=America/Toronto:20210514T120000
DTSTAMP:20260523T012748
CREATED:20210504T165404Z
LAST-MODIFIED:20210809T204633Z
UID:10000279-1620990000-1620993600@www.ieeetoronto.ca
SUMMARY:ComSoc Distinguished Lecture: AI to Enable Digital Medicine and Detect COVID-19
DESCRIPTION:The IEEE Ottawa Joint Chapter of Communications Society\, Consumer Electronics Society\, and Broadcast Technology Society (ComSoc/CESoc/BTS)\, IEEE Toronto Chapter (ComSoc/BTS)\, IEEE ComSoc Montreal Chapter (ComSoc)\, IEEE Ottawa Educational Activities (EA)\, IEEE Ottawa Women In Engineering (WIE)\, IEEE Ottawa Young Professionals (YP)\, and Algonquin College Student Branch (ACSB) in conjunction with School of Advanced Technology\, Algonquin College are inviting all interested IEEE members and other engineers\, technologists\, and students to ComSoc Distinguished Lecture (webinar) on AI to Enable Digital Medicine and Detect COVID-19. \nFor any additional information please contact: Wahab Almuhtadi or Eman Hammad \nAbstract: \nDigitalize human beings using biosensors to track our complex physiologic system\, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. In this talk\, we discuss how to design AI solutions in the clinical space and what are the key aspects to make a difference. We focus on two critical clinical topics that need AI: 1) atrial fibrillation (AF)\, and 2) viral illnesses (COVID-19). AF is the most common sustained cardiac arrhythmia\, associated with stroke\, heart failure and coronary artery disease. AF detection from single-lead electrocardiography (ECG) recordings is still an open problem\, as AF events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent convolutional neural network architectures developed in the computer vision field\, redesigned to be suitable for a one-dimensional signal\, and we evaluate their performance in the detection of AF using 200 thousand seconds of ECG\, highlighting the potential and pitfall of this technology. We also discuss how to explain (global and local post hoc explanations) this AI model for AF detection using features that are commonly used by a cardiologist. \nTo tackle the problem of COVID-19\, we start with an overview of continuous\, passively monitored vital signs from 200\,000 individuals wearing a Fitbit wearable device for 2 years. This large study provides the baseline for DETECT\, our app-based\, nationwide clinical study enrolling individuals who routinely use a smartwatch or other wireless devices to determine if individualized tracking of changes in heart rate\, activity and sleep can provide early diagnosis and self-monitoring for COVID-19. We analyze data from more than 36\,000 individuals\, showing how we can discriminate (on an individual level) between COVID-19 and other types of infections. We discuss how this can impact both the individual and public health\, and how the use of AI can be a game changer in this fight against the virus. \nSpeaker: Giorgio Quer \nGiorgio Quer is the Director of Artificial Intelligence at the Scripps Research Translational Institute\, where he is leading the Data Science and Analytics team within the All of Us Research Program’s Participant Center (NIH). \nHis research focuses on artificial intelligence and probabilistic modeling applied to heterogeneous data signals\, in order to extract key information and make predictions on future occurrences based on past data. He is involved in several digital medicine initiatives within the Scripps Research Digital Trials Center. For the DETECT study\, he is developing algorithms to predict COVID-19 and other viral infections from wearable sensor data. He is responsible for collaborations with several industry partners\, studying changes in heart rate and sleep data monitored by commercial wearable devices. He is also interested in the detection and modeling of atrial fibrillation from single-lead ECG signals. He is leading the collaboration with the Halicioglu Data Science Institute at UC San Diego towards the development of new AI models for health data. \nHe received his Ph.D. degree in Information Engineering from the University of Padova\, Italy\, and he continued his studies as a Postdoctoral researcher with the Qualcomm Institute at the University of California San Diego. He is a Senior Member of the IEEE and a Distinguished Lecturer for the IEEE Communications society.
URL:https://www.ieeetoronto.ca/event/comsoc-distinguished-lecture-ai-to-enable-digital-medicine-and-detect-covid-19/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210513T160000
DTEND;TZID=America/Toronto:20210513T180000
DTSTAMP:20260523T012748
CREATED:20210506T165445Z
LAST-MODIFIED:20210809T204621Z
UID:10000411-1620921600-1620928800@www.ieeetoronto.ca
SUMMARY:Electromagnetics Alumni Event
DESCRIPTION:We are inviting several alumni members from the electromagnetics group\, University of Toronto\, Canada who are working in industry at senior positions and in academia as Professors to provide an insight on career choices after graduation. We are planning it as a semi-formal event where the speakers would share their experiences and the attendees could ask them questions. \nZoom link will be provided to the registered participants. \nContact: IEEE UofT AP-S Student Chapter \nPanelists: \n\nDr. Michael Selvanayagam\, IBM T.J. Watson Research Center\, NY\nDr. Rubaiyat Islam\, AMD\, Canada\nDr. Marco Antoniades\, Ryerson University\, Canada\nDr. Loic Markley\, University of British Columbia\, Canada\nDr. Utkarsh Patel\, AMD Canada
URL:https://www.ieeetoronto.ca/event/electromagnetics-alumni-event/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210416T120000
DTEND;TZID=America/Toronto:20210416T130000
DTSTAMP:20260523T012748
CREATED:20210430T023730Z
LAST-MODIFIED:20210809T204407Z
UID:10000372-1618574400-1618578000@www.ieeetoronto.ca
SUMMARY:CAS Distinguished Lecture - Augmented Perception: Next Generation Wearables and Human-Machine Interfaces
DESCRIPTION:The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Distinguished Lecturer Dr. Andrew Mason of the Michigan State University. \nTopic: Augmented Perception: Next Generation Wearables and Human-Machine Interfaces \nAbstract: \nProducts like Fitbit and the Apple Watch have brought to the public decades of foundational work on wearable technologies achieved by researchers in the IEEE CAS Society and related groups. Similarly\, research into brain- and human-machine interface is starting to enter the public domain in applications including deep brain stimulation\, prosthetic limb control\, and human assistive devices. While researchers continue to explore new wearable sensing and human-interface paradigms\, it is vital that we also explore what applications the next generation of wearable human-machine interfaces can and should enable. This talk will review key challenges and approaches within wearable assistive device and brain/human interface technologies. Aspects of physiological\, environmental\, and behavioral sensing within wearable platforms will be discussed\, and technical challenges will be highlighted. Finally\, the next generation concept of augmented human perception\, real time machine-enhanced awareness that expands natural human senses\, will be introduced. Utilizing wearable sensing and real-time feedback through visual\, audio and tactile mechanism\, augmented perception is poised to revolutionize the human experience\, enhance daily performance\, and enable new pathways to address mental and physical health concerns. \nSpeaker: Andrew Mason of Michigan State University \nBiography: \nAndrew J. Mason received the BS in Physics with highest distinction from Western Kentucky University in 1991\, the BSEE with honors from the Georgia Institute of Technology in 1992\, and the MS and Ph.D. in Electrical Engineering from The University of Michigan\, Ann Arbor in 1994 and 2000\, respectively. From 1999 to 2001 he was an Assistant Professor at the University of Kentucky.  In 2001 he joined the Department of Electrical and Computer Engineering at Michigan State University in East Lansing\, Michigan\, where he is currently a Professor.  His research explores mixed-signal circuits\, microfabricated structures and machine learning algorithms for integrated microsystems in biomedical\, environmental monitoring and sustainable lifestyle applications.  Current projects are focused on design of augmented human awareness systems including signal processing algorithms and hardware for brain-machine interface\, wearable/implantable biochemical and neural sensors\, and lab-on-CMOS integration of sensing\, instrumentation\, and microfluidics. \nDr. Mason is a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE) and serves on the Sensory Systems and Biomedical Circuits and Systems Technical Committees of the IEEE Circuits and Systems Society. He is an Associate Editor for the IEEE Trans. Biomedical Circuits and Systems and regularly serves on the technical and review committees for several IEEE conferences. Dr. Mason was co-General Chair of the 2011 IEEE Biomedical Circuits and Systems Conference. He is a recipient of the 2006 Michigan State University Teacher-Scholar Award and the 2010 Withrow Award for Teaching Excellence. \nEmail: mason@msu.edu
URL:https://www.ieeetoronto.ca/event/cas-distinguished-lecture-augmented-perception-next-generation-wearables-and-human-machine-interfaces/
LOCATION:Virtual – Zoom
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210319T160000
DTEND;TZID=America/Toronto:20210319T170000
DTSTAMP:20260523T012748
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204212Z
UID:10000366-1616169600-1616173200@www.ieeetoronto.ca
SUMMARY:[AP-S Seminar Series] Natalia K. Nikolova\, McMaster University\, Mar. 19\, 4pm EDT
DESCRIPTION:The University of Toronto Student Chapter of the IEEE Antennas and Propagation Society (AP-S) invites you to the following talk in our 2020-2021 seminar series: \nMicrowave and Millimeter-Wave Near-Field Imaging: Applications\, Methods\, and Challenges\, presented by Natalia K. Nikolova from McMaster University\, on Friday\, March 19\, 2021\, 4-5 pm EDT. \nAbstract: In the last decade\, we have witnessed dramatic decrease in the price and size of on-chip transceivers and radars along with their increased functionality. This has spurred unprecedented growth in imaging\, sensing and detection applications\, defining the current and future growth of wireless technology. \nWe will introduce the methods of real-time microwave and millimeter-wave imaging\, which allow to “see” inside optically opaque objects. The electromagnetic models of wave propagation that link the object’s electrical properties to the microwave measurements are briefly introduced with an emphasis on the approximations\, which enable real-time image reconstruction. We will discuss the detrimental effects of these approximations on the reconstructed images and how these effects are mitigated through the careful design of the acquisition apparatus and through data processing. We will briefly dive into the inner workings of two reconstruction methods\, microwave holography and the scattered-power mapping\, along with examples of real-time quantitative image reconstruction of complex dielectric objects. \nSpeaker: Natalia K. Nikolova of McMaster University \nBiography: \nNatalia K. Nikolova (IEEE S’93–M’97–SM’05–F’11) received the Dipl. Eng. (Radioelectronics) degree from the Technical University of Varna\, Bulgaria\, in 1989\, and the Ph.D. degree from the University of Electro-Communications\, Tokyo\, Japan\, in 1997. From 1998 to 1999\, she held a Postdoctoral Fellowship of the Natural Sciences and Engineering Research Council of Canada (NSERC) at Dalhousie University and McMaster University. In 1999\, she joined the Department of Electrical and Computer Engineering at McMaster University\, where she is currently a Professor. Her research interests include inverse scattering\, microwave imaging\, as well as computer-aided analysis and design of high-frequency structures and antennas. Prof. Nikolova has authored more than 270 refereed manuscripts\, 6 book chapters\, and two books\, including the monograph “Introduction to Microwave Imaging” (Cambridge University Press\, 2017). She has delivered 48 invited lectures around the world on the subjects of microwave imaging and detection as well as computer-aided electromagnetic analysis and design. \nProf. Nikolova is a Fellow of the IEEE\, the Canadian Academy of Engineering and the Engineering Institute of Canada. She served as an IEEE Distinguished Microwave Lecturer from 2010 to 2013.
URL:https://www.ieeetoronto.ca/event/ap-s-seminar-series-natalia-k-nikolova-mcmaster-university-mar-19-4pm-edt/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210319
DTEND;VALUE=DATE:20210327
DTSTAMP:20260523T012748
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204148Z
UID:10000365-1616112000-1616803199@www.ieeetoronto.ca
SUMMARY:PIC Microcontroller Workshop
DESCRIPTION:IEEE Seneca is offering PIC Microcontroller Workshop\, please check out the details below for more information. This session will be recorded and uploaded at our IEEE Seneca Website. \nKnowledge for the digital systems\, basic electronics and C programming helps to understand the workshop. \nWhy is PIC Microcontroller important? \n\nThey are low in power consumption\, high performance ability and easy to support hardware and software tools like compilers\, debuggers and simulators.\nHigh integration allows the costand size of the system are reduced\, which makes them easily accessible.\nIt is easy to interface additional RAM\, ROM and I/O ports.\n\nIntro to PIC Mictocontroller Workshop\nDate: Friday March 19\, 2021 \nTime: 11:00 a.m. – 12:00 p.m. \nThis workshop will be an introduction to the PIC Microcontroller featuring: \n\nMicrocontroller Setup\nRC Oscillator\nMPLab X Programming\n\nESP8266 Node MCU Microcontroller Workshop\nDate: Friday\, March 26\, 2021 \nTime: 11:00 a.m. – 12:00 p.m. \nNote: For this workshop\, we will be using Arduino IDE during the session. If you would like to try out or download before the workshop\, please visit https://www.arduino.cc/en/software. \nThis workshop will feature in-depth information about Amica NodeMCU: \n\nProgramming and debugging\nlibrary ESP8266WiFi
URL:https://www.ieeetoronto.ca/event/pic-microcontroller-workshop/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200921T180000
DTEND;TZID=America/Toronto:20200924T210000
DTSTAMP:20260523T012748
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
END:VCALENDAR