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DTSTART;TZID=America/New_York:20221124T180000
DTEND;TZID=America/New_York:20221124T200000
DTSTAMP:20260522T184636
CREATED:20221006T193242Z
LAST-MODIFIED:20230402T175226Z
UID:10000398-1669312800-1669320000@www.ieeetoronto.ca
SUMMARY:Opportunities in Deep Learning: Commercialization and Career paths
DESCRIPTION:Deep learning has become the new norm for a wide range of video analysis tasks\, ranging from simple classification to synthesizing realistic new videos from text inputs. Keeping up with state-of-the-art DL algorithms has never been harder. Even the ‘Transformer’ has been given a new meaning. This presentation will uncover the mystery of deep learning in plain language and explain how those algorithms are deployed to products. More importantly\, the audience will learn what it takes to become a deep learning engineer.\nThe presentation will cover the following topics:\n– Recent advances in deep learning and self-supervised learning (video classification).\n– How are deep learning algorithms commercialized?\n– Career roadmap for aspirant candidates\nSpeaker(s): Dr. Peng Dai\,\nVirtual: https://events.vtools.ieee.org/m/326443
URL:https://www.ieeetoronto.ca/event/opportunities-in-deep-learning-commercialization-and-career-paths/
LOCATION:Virtual: https://events.vtools.ieee.org/m/326443
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210218T180000
DTEND;TZID=America/Toronto:20210218T210000
DTSTAMP:20260522T184636
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:20201126T180000
DTEND;TZID=America/Toronto:20201126T210000
DTSTAMP:20260522T184636
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:20200723T130000
DTEND;TZID=America/Toronto:20200723T153000
DTSTAMP:20260522T184636
CREATED:20210430T023536Z
LAST-MODIFIED:20210430T234342Z
UID:10000307-1595509200-1595518200@www.ieeetoronto.ca
SUMMARY:Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue
DESCRIPTION:On Thursday\, July 23\, 2020 at 1:00 p.m.\, Dalia Hanna and Mujahid Sultan will be presenting “Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue”. \nDay & Time: Thursday\, July 23\, 2020\n1:00 p.m. – 4:00 p.m. \nSpeakers: Dalia Hanna\, Mujahid Sultan \n\n\nOrganizers: IEEE Toronto WIE\, IEEE IM/RA\, Ryerson CS Graduate Student Council\, IEEE Ryerson Computational Intelligence Chapter\, Ryerson CSCU \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nTitle: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nAbstract: Unmanned Aerial Vehicles (UAV) are now used in many applications. The focus in this presentation is on their use in public safety\, specifically in search and rescue (SAR) operations involving lost persons living with dementia (LPLWD). When it comes to saving lives\, there are many human factors associated with UAV operations that impact the performance of expert human SAR teams that could be improved through forms of automation. These include familiarity with the search location\, tasks associated with piloting and search/flight management during SAR operations.  A LPLWD may not be interested in assisting in their own rescue as they may not know they are lost. As such\, it has been observed that they tend to keep walking until they are faced with an obstacle that bars their further progress. The approach presented in this research work focuses on developing a people finding algorithm to identify higher probability locations where an LPLWD might be found\, through informed\, behavior-based analysis of the search location; then\, developing an algorithm to fly a UAV to the vicinity of these higher probability locations.  The algorithm was tested and validated through field testing. The results from both the data collection process and the field tests indicated that there are efficiencies in using the drone\, which enhances the probability of finding the lost person alive.  An informed cleaning process involving both manual and ‘R’-automated approaches to scrub and augment the data–adding any missing values in the dataset\, helped in understanding the behaviour of the lost person and in determining what significant variables enhanced their survivability. Linear regression was utilized to acquire the correlation among the numeric values in the database. The analysis indicated that there was no significant correlation among the independent variables; however\, the data indicated that the wanderer tended to be found closer to where they left or were last seen. Logistic regression was used to investigate the survivability using three classification models. Finally\, a framework is presented considering all the factors form the field tests and data analysis. \n\nTitle: How to build and deploy machine learning models in the scalable cloud  \nAbstract: Machine learning model development is a skill taught at schools and is a good skill to have but where most of the student’s lake is how to serve these models to the clients. How to scale. Make sure that the server does not die if it gets a million hits in a second. How to build security around it. \nAgenda: Interested students who want to build along with me\, can bring their laptop with MobaXterm installed and we can do the following together. \n\nlogin to a cloud environment (I will provide the cloud login credentials during the presentation)\ncreate a virtual environment for development\nbuild a semantic search engineby pulling libraries from the net\npick a visualization and presentation method from D3JS\ndevelop an application using MVC pattern like the flask\nwrap the application in a docker container\ninstall scalable web engine like NGINX\nhost it to the cloud (azure)\nprovide secure access with a username and password to anyone on the internet\n\nThis presentation will expose the tools required to build scalable machine learning applications in the cloud. \n\nRegistration: Please visit https://forms.gle/7ZoimYgVjjpC9mag8 to register. \nBiographies: \nDalia Hanna\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nDalia Hanna is a PhD Candidate in the Department of Computer Science\, Ryerson University. She is a member of Ryerson’s Network-Centric Applied Research Lab\, a multidisciplinary Computational Public Safety-focused research lab. She has a B.Sc. in Electronics and Communication Engineering and M.Sc. in Instructional Design and Technology with a specialization in Online Learning. Dalia is also a certified project management professional (PMP ® ) and a certified facilitator. Her research interest in utilizing technology tools for public safety\, search and rescue\, and emergency management operations. . Dalia authored several research papers and presented in national and international conferences. \nMujahid Sultan\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nMujahid Sultan is a senior computer scientist and enterprise architect with vast experience in machine learning\, pattern recognition\, deep learning\, NLP\, text synthesis\, transcription\, time-series forecasting and cloud-native developments (Python\, microservices\, APIs\, Docker\, Kubernetes). His current research focus: a) working to develop a robust clustering method with mathematical proofs b) improving learning from imbalanced data on graph-based deep learning backends (TensorFlow\, Torch and CNTK)\, and c) building Machine Learning based dynamic SDN controllers. \nHe has authored in high impact journals in fields of Machine Learning\, Artificial Intelligence\, Data Visualization\, Genetics and Drug Discovery for Cancer\, Requirements Engineering and Enterprise Architecture. His publications can be found at https://orcid.org/0000-0001-6721-4044 \nAreas of Expertise include: Regression\, Clustering\, Classification\, Deep Learning\, Convolutional and Recurrent Neural Networks (LSTMs)\, Natural Language Processing (NLP)\, Self-Organizing Maps (SOM)\, Topic Modeling and Parallel Processing. Expert in info visualization using matlab\, matplotlib\, D3js and plotly. \nSkills: Full-stack development: (Angular+Flask+Docker); Python: (Scikit-Learn\, Keras\, TensorFlow\, NLTK\, Spacy\, NumPy\, Matplotlib\, SpaCy to name a few); MATLAB: (toolboxes: statistics\, microeconomics\, parallel processing\, bioinformatics to name a few). \nPlatform experience: Docker Containers and Kubernetes on AWS\, Azure/Azure Stack and Google Cloud Platform. PaaS/IaaS: (AWS: (Elastic Beanstalk\, Lambda\, Poly\, Sage-Maker)\, Azure ML\, and Heroku).
URL:https://www.ieeetoronto.ca/event/advanced-topics-on-scalable-deployment-of-machine-learning-and-drone-based-search-and-rescue/
LOCATION:Online via Zoom Toronto\, Ontario Canada
CATEGORIES:Computer,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200130T183000
DTEND;TZID=America/Toronto:20200130T210000
DTSTAMP:20260522T184636
CREATED:20210430T023532Z
LAST-MODIFIED:20210430T233440Z
UID:10000299-1580409000-1580418000@www.ieeetoronto.ca
SUMMARY:Advances in Open Liberty and Java Performance
DESCRIPTION:Thursday January 30th\, 2020 at 6:30 p.m. Vijay Sundaresan\, performance architect at IBM Toronto\, will be presenting “Advances in Open Liberty and Java Performance”. \nDay & Time: Thursday January 30th\, 2020\n6:30 p.m. ‐ 9:00 p.m. \nSpeaker: Vijay Sundaresan\nPerformance Architect\nIBM Toronto \nOrganizers: IEEE Toronto Systems Chapter \nLocation: Bahen Building\, Room BA 4287\nUniversity of Toronto – St. George Campus\n40 St George St\, Toronto\, ON M5S 2E4 \nContact: Younas Abbas\, Vice Chair\, IEEE Computer Society (Toronto Chapter) \nAbstract: Are you a Java developer or Open Liberty user who is interested in improving your application’s performance for the cloud environment? \nIn this talk\, we will share insights about running Java EE\, MicroProfile\, and SpringBoot applications to quantify how well your application will perform with Open Liberty and OpenJ9 in different scenarios. \nWe will discuss the cutting-edge advancements in the Eclipse OpenJ9 Java Virtual Machine (JVM) which is a core component of OpenJDK with OpenJ9. We will also talk about features that are important for cross platform performance as well as platform specific exploitation of the latest hardware features on Intel and other platforms. \nRegister: RSVP is required for this event. Please visit https://events.vtools.ieee.org/m/209751 for more details and to register. \nFees:\nIEEE Members: Free\nNon-Member (Professional): $10 + 13% HST \nBiography: Vijay Sundaresan is a Performance Architect at the IBM Toronto Lab responsible for WAS/Java runtime performance. Vijay’s technical background and expertise are in the areas of performance analysis\, compilation and virtual machine technology\, Java SE and Java EE specifications\, as well as hardware optimizations over the past two decades. Vijay was one of the original architects on both the Eclipse OpenJ9 JVM as well as on the Eclipse OMR open source projects. As a graduate student at McGill University Vijay also made contributions to the Soot bytecode analysis framework that is very popular for implementing tools and optimizations
URL:https://www.ieeetoronto.ca/event/advances-in-open-liberty-and-java-performance/
LOCATION:Bahen Building\, Room BA 4287 University of Toronto – St. George Campus 40 St George St\, Toronto\, ON M5S 2E4
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20191017T183000
DTEND;TZID=America/Toronto:20191017T210000
DTSTAMP:20260522T184636
CREATED:20210430T023529Z
LAST-MODIFIED:20210430T232525Z
UID:10000288-1571337000-1571346000@www.ieeetoronto.ca
SUMMARY:Agile Methodology Framework Case Study
DESCRIPTION:Thursday October 17th\, 2019 at 6:30 p.m. Rafi Ahmed\, Telecom IT Consultant\, will be presenting “Agile Methodology Framework Case Study”. \nDay & Time: Thursday October 17th\, 2019\n6:30 p.m. ‐ 9:00 p.m. \nSpeaker: Rafi Ahmed\, M.B.A.\, M.Res.\, B.Sc. Telecom IT Consultant \nOrganizers: IEEE Toronto Computer Chapter \nLocation: Eric Palin Hall\, Room EPH 216\nRyerson University\n87 Gerrard St E\, Toronto\, ON M5B 2M2 \nRVSP: RSVP is required for this event. Please visit https://events.vtools.ieee.org/m/203806 for more details and to register \nFees: IEEE Members: Free\nNon-Member (Professional): $10 + 13% HST \nContact: Dennis Cecic\, P. Eng.\, SMIEEE\nChair\, IEEE Computer Society (Toronto Chapter) \nAbstract: Are you looking to deliver your projects with high quality\, higher customer satisfaction\, increased project control\, reduced risk and faster ROI and are unable to decide whether Agile or Waterfall methodologies are right for you? In this talk we will discuss how to align your initiatives with your organization’s strategy by defining a problem using the Diamond E framework\, and how to execute an initiative by choosing the right methodology for execution (Agile\, Waterfall or Hybrid). We will also discuss how organizations can achieve their objective of having complete visibility from defining strategic initiatives to execution of those strategic initiative; from top level in the organization all the way to bottom. \nThe theory will be followed by an actual case study for one of the largest telecom operators in the Middle East and how it was able to launch a world class marketplace within a record time of 9 months. \nBiography:\nRafi has 25+ years of IT experience in delivering small to very large-scale projects. He has held several executive roles in various organizations. Rafi has worked as Digital Transformation Lead\, DevOps Lead\, Cloud Architect\, Business Architect & IT Transformation\, Enterprise Architect\, Solution Architect\, Quality Assurance/ Business Analyst / Software designer with an exceptional record of delivering cost effective\, high performance technology solutions to meet challenging business demands. He has extensive qualifications in all facets of information systems methodology from conceptual design through documentation\, implementation\, user training\, quality review\, and enhancement. He has worked extensively with Fortune 1000 companies.
URL:https://www.ieeetoronto.ca/event/agile-methodology-framework-case-study/
LOCATION:Eric Palin Hall (Room EPH 216)\, 87 Gerrard St E\, Toronto\, ON M5B 2M2\, Canada
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20190123T163000
DTEND;TZID=America/Toronto:20190123T193000
DTSTAMP:20260522T184636
CREATED:20210430T022125Z
LAST-MODIFIED:20210430T230201Z
UID:10000256-1548261000-1548271800@www.ieeetoronto.ca
SUMMARY:R&D Essentials for Technology Companies
DESCRIPTION:Wednesday January 23rd\, 2019 at 4:30 p.m. IEEE Toronto Computer Chapter is hosting a “R&D Essentials for Technology Companies” event. \nDay & Time: Wednesday January 23rd\, 2019\n4:30 p.m. ‐ 7:30 p.m. \nOrganizers: Computer Chapter\, IEEE Toronto \nLocation: Bay Adelaide Centre (KPMGLLP)\n333 Bay Street\, Suite 4600\nToronto\, ON M5H 4G3 \nContact: Dennis Cecic\, P. Eng.\, SMIEEE\nChair\, IEEE Computer Society (Toronto Chapter) \nDennis Woo\, P. Eng.\, SMIEEE\, FEC\nSenior Manager\, Tax Incentives Practice\, KPMG LLP \nRegister: RSVP is required for this event: https://www.eventbrite.ca/e/rd-essentials-for-technology-companies-tickets-53069892477 \nAbstract: Does your business create or improve technologies? \nDevelopment of technology is costly and risky. You will want to know about the available bank services\, government funding programs and how to protect your intellectual property. \nJoin us for an afternoon conversation on the following topics: \n– Bank services designed to support technology companies.\n– Government programs (e.g. SR&ED and IRAP) to support businesses conducting R&D.\n– Intellectual property\, trademarks and patents. \nExperienced professionals from KPMG LLP\, Prima IP\, Royal Bank\, and InvestOntario will present and answer your questions on these topics. Space is limited. Light refreshments will be served.
URL:https://www.ieeetoronto.ca/event/rd-essentials-for-technology-companies/
LOCATION:Bay Adelaide Centre (KPMG LLP) 333 Bay Street\, Suite 4600 Toronto\, ON M5H 4G3
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20181201T100000
DTEND;TZID=America/Toronto:20181201T140000
DTSTAMP:20260522T184636
CREATED:20210430T022122Z
LAST-MODIFIED:20210430T225617Z
UID:10000151-1543658400-1543672800@www.ieeetoronto.ca
SUMMARY:Connecting your IoT Device with LoRaWAN to The Things Network (TTN)
DESCRIPTION:Saturday\, December 1st 2018\, Dennis Cecic\, P. Eng.\, SMIEEE.\, Senior Technical Training Engineer with Microchip Technology Canada Inc.\, will be presenting “Connecting your IoT Device with LoRaWAN to The Things Network (TTN)”. \nDay & Time: Saturday December 1st\, 2018\n10:00 a.m. ‐ 2:00 p.m. \nSpeaker: Dennis Cecic\, P. Eng.\, SMIEEE.\nSenior Technical Training Engineer with Microchip Technology Canada Inc.\nChair of the IEEE Toronto Computer Society \nOrganizers: IEEE Toronto Computer Society \nLocation: Room ENG101\, Ryerson University (George Vari Engineering and Computing Centre)\n245 Church Street\nToronto\, Ontario\nCanada M5B 1Z4 \nContact: Dennis Cecic\, P. Eng.\, SMIEEE. \nRegister: https://events.vtools.ieee.org/m/179788 \nAbstract: The long range and low-power capability of LoRaWANTM combined with the flexibility and ease of use of The Thing Network’s open source data network makes this one of the easiest ways for an embedded engineer to create an end-to-end IoT solution. \nIn this hands-on workshop\, attendees will learn how to send sensor data from a low cost\, low-power sensor all the way to a user application. The class will walk through connecting a LoRaWAN-enabled endpoint through a LoRaWAN gateway to The Things Network’s servers and finally to an end user application. \nUpon completion\, attendees will be equipped to deploy each piece of this IoT solution. \nNotes: \nRSVP is required for this event. Please visit https://events.vtools.ieee.org/m/179788 for more details and to register. \nFEES: All $29.95 + 13% HST \nLunch and refreshments will be provided. \nAttendees will be provided with a sensor board for use during the workshop. Attendees may purchase the sensor board separately: https://www.microchipdirect.com/product/search/all/THW1021 \nAttendees are expected to download courseware and install software onto their laptop computers before attending the event per instructions here (see README.txt): https://microchip.box.com/s/qiiqa285z8c9ee798xyzb8d2iqw15cwi \nBiography: Dennis is a Senior Technical Training Engineer with Microchip Technology Canada Inc.\, specializing in microcontrollers\, embedded software and the internet of things (IoT). His industrial embedded design experience includes development of microwave\, infrared and acoustic motion sensors for the commercial security system market\, as well as specialty devices for assisted living. He has also developed and taught courses in 32-bit microcontrollers and DSP in the school of electronics at Seneca College. He holds a B. Eng. Degree in Electrical Engineering from Ryerson University. Dennis is also the current Chair of the IEEE Computer Society – Toronto Chapter.
URL:https://www.ieeetoronto.ca/event/connecting-your-iot-device-with-lorawan-to-the-things-network-ttn/
LOCATION:Room ENG101\, George Vari Engineering and Computing Centre\, 245 Church Street\, Toronto\, Ontario Canada M5B 1Z4
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180531T180000
DTEND;TZID=America/Toronto:20180531T210000
DTSTAMP:20260522T184636
CREATED:20210430T014025Z
LAST-MODIFIED:20210430T223411Z
UID:10000203-1527789600-1527800400@www.ieeetoronto.ca
SUMMARY:Big Data Based Recommendation Approaches for Healthcare
DESCRIPTION:Thursday\, May 31st at 6:00 p.m.\, Samee U. Khan\, Associate Professor of Electrical and Computer Engineering at the North Dakota State University\, will be presenting “Big Data Based Recommendation Approaches for Healthcare”. \nDay & Time: Thursday\, May 31\, 2018\n6:00 p.m. ‐ 9:00 p.m. \nSpeaker: Samee U. Khan\nDepartment of Electrical and Computer Engineering\nNorth Dakota State University \nLocation: Room GB405\, University of Toronto (Galbraith Building)\n35 St George St.\, Toronto\nOntario M5S 1A4 \nContact: Dennis Cecic \nOrganizer: IEEE Toronto Computer Society \nRVSP: https://events.vtools.ieee.org/m/162924 \nFees: IEEE Members: Free\nNon-Member (Professional): $10 + 13% HST \nAbstract: Recommender systems have attained widespread acceptance and have attracted the increased attention by the masses for over a decade. Recommender systems alleviate the complexities of products and services selection tasks and are meant to overcome the issuesof information overload. Just like the recommender systems’ prospects in e-commerce and several other business domains\,recommender systems have also been developed to offer recommendations about healthcare services and products. Considering the high volumes and dimensionality of healthcare data\, utilization of efficient techniques to manage the big data is inevitable. \nIn this talk\, we describe the need and rationale for using the big data enabled techniques for healthcare data. As case studies\, we will detail our work on developing recommendation systems for: (a) health insurance products recommendation\, (b) health expert recommendation from social media\, (c) identification of influential doctors from Twitter\, and (d) disease risk assessment services. During the discussion on the cases studies\, we will discuss the following issues that are particular to the recommender systems: (a) cold start\, (b) long-tail problem\, and (c) scalability. \nBiography: Samee U. Khan received a BS degree in 1999 from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology\, Topi\, Pakistan\, and a PhD in 2007 from the University of Texas\, Arlington\, TX\, USA. Currently\, he is Associate Professor of Electrical and Computer Engineering at the North Dakota State University\, Fargo\, ND\, USA. Prof. Khan’s research interests include optimization\, robustness\, and security of systems. His work hasappeared in over 300 publications. He is on the editorial boards of leading journals\, such as IEEE Access\, IEEE Communications Surveys and Tutorials\, and IEEE IT Pro. He is an ACM Distinguished Speaker\, an IEEE Distinguished Lecturer\, a Fellow of the Institution of Engineering and Technology (IET\, formerly IEE)\, and a Fellow of the British Computer Society (BCS).
URL:https://www.ieeetoronto.ca/event/big-data-based-recommendation-approaches-for-healthcare/
LOCATION:Room GB405\, University of Toronto (Galbraith Building)\, 35 St George St.\, Toronto Ontario M5S 1A4
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170322T180000
DTEND;TZID=America/Toronto:20170322T200000
DTSTAMP:20260522T184636
CREATED:20210430T002613Z
LAST-MODIFIED:20210430T004123Z
UID:10000113-1490205600-1490212800@www.ieeetoronto.ca
SUMMARY:Cyber Security for Utilities Seminar
DESCRIPTION:Wednesday March 22\, 2017 at 6:00 p.m. the IEEE Toronto Computer Society/Industrial Relations will be presenting “Cyber Security for Utilities Seminar”. \nDay & Time: Wednesday\, March 22nd\, 2017\n6:00 p.m. – 8:00 p.m. \nSpeakers: Steel McCreery\nSchweitzer Engineering Laboratories (SEL) \nDoug Westlund\, P. Eng.\nAESI \nLocation: University of Toronto\n35 St. George St.\nToronto\, Ontario\nCanada M5S 1A4 \nBuilding: Galbraith Building\nRoom Number: 202 \nRSVP is required for this event. Please visit https://events.vtools.ieee.org/m/44162 for more details and to register. \nFEES:\nIEEE Members: Free\nNon-IEEE Students: Free\nNon-Member (Professional): $10 + HST \nAbstract: Cyber Security is one of the hottest technology topics ensuring the safety and reliability of the Electrical Grid against cyber-attacks from hackers. This seminar will be a great opportunity for students\, new grads\, and engineers to have a general overview on cyber security issues and challenges for utilities in North America. Industry Standards such as NERC CIP will be discussed\, as will career opportunities on this field. \nJoin us on our first seminar on Cyber Security with IEEE Toronto Section. We look forward to seeing you at the event! \nBiographies:\nSteel McCreery is an Integration Application Specialist II Communications\, providing communications and automation applications engineering support to sales\, consultants\, utility and industrial customers in addition to SEL’s internal Engineering Services team. \nDoug Westlund\, P. Eng.\, has 30 years’ experience in technology and cyber security in the utility and telecommunications markets. In his role at AESI he assists utility executive teams and their Boards with strategic planning and risk management. He has led more than 100 cyber security projects for generation\, transmission and distribution utilities\, developed risk management for the Ontario LDC insurer (MEARIE)\, and developed cyber security best practices and programs for the American Public Power Association and its 2\,000 distribution utility members.
URL:https://www.ieeetoronto.ca/event/cyber-security-for-utilities-seminar/
LOCATION:Room 202\, Galbraith Building\, 35 St. George St. Toronto\, Ontario
CATEGORIES:Computer,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170126T090000
DTEND;TZID=America/Toronto:20170126T160000
DTSTAMP:20260522T184636
CREATED:20210430T002611Z
LAST-MODIFIED:20210430T004822Z
UID:10000098-1485421200-1485446400@www.ieeetoronto.ca
SUMMARY:Top 10 Ways to Design Safer Embedded Software
DESCRIPTION:Thursday January 26th\, 2017 at 9:00 a.m. the IEEE Computer Society Toronto Chapter will be holding a Training Course: Top 10 Ways to Design Safer Embedded Software. \nWe are sorry to inform you that this event has been cancelled. We will attempt to reschedule the event later this year.\nAbstract: Embedded systems are everywhere these days: from implantable medical devices to self-driving cars. The risks of human injury are also multiplying as more embedded systems connect to the Internet and become open to hacking as well as malfunction. \nThere are design techniques that can be applied to develop safer and more reliable embedded systems. As we consult with companies in a range of industries\, we are continually surprised that such techniques–including the 10 techniques you will be exposed to in this course–are not more widely known and practiced. \nRegister today to join us at this important 1-day course where the focus is on minimizing the risk of injury or loss by firmware malfunction though a combination of lightweight\, demonstrably-valuable design techniques. \nRSVP is required. Visit https://events.vtools.ieee.org/meeting_registration/register/42587 \nAgenda: 9:00am Coffee*\n9:30am Morning Session\n12:30pm Lunch*\n1:30pm Afternoon Session\n3:30pm End (approx.) \n* Morning coffee and lunch are included in the registration fee. \nPrerequisites: Attendees should be generally familiar with the terminology of embedded software or have first-hand experience doing embedded systems design. \nFees: IEEE Members: CDN $135 + 13% HST\nNon-Members: CDN $160 + 13% HST \nDay & Time: Thursday\, January 26th\, 2017\n9:00 a.m. – 4:00 p.m. \nLocation: Room CB 114\, Best Institute (University of Toronto)\n112 College Street\nToronto\, ON M5G 1L6 Canada \nCampus Map: http://map.utoronto.ca/building/052 \nPublic Parking (Toronto General Hospital Parking Garage): https://www.google.ca/maps/place/Toronto+General+Hospital+Parking+Garage/@43.6589808\,-79.3865625\,15z/data=!4m5!3m4!1s0x0:0xd777822577805e72!8m2!3d43.6589808!4d-79.3865625
URL:https://www.ieeetoronto.ca/event/top-10-ways-to-design-safer-embedded-software/
LOCATION:Room CB 114\, Best Institute (University of Toronto) 112 College Street
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161020T183000
DTEND;TZID=America/Toronto:20161020T203000
DTSTAMP:20260522T184636
CREATED:20210430T002606Z
LAST-MODIFIED:20210430T010516Z
UID:10000077-1476988200-1476995400@www.ieeetoronto.ca
SUMMARY:Exosite Pivot IoT Seminar – Executive Forum on Business Transformation Through IoT
DESCRIPTION:Thursday October 20\, 2016 at 6:30 p.m. Steve Wright\, Solutions Architect at Exosite Inc. and Alumni of IEEE Society\, will be presenting “Exosite Pivot IoT Seminar – Executive Forum on Business Transformation Through IoT”. \nSpeaker: Steve Wright\nSolutions Architect\, Exosite Inc. \nDay & Time: Thursday\, October 20\, 2016\n6:30 p.m. – 8:30 p.m. \nLocation: Room L1-02 (Library & Academic Building)\nCentennial College\, Progress Campus\n941 Progress Ave\nToronto\, ON M1K 5E9\nCanada \nRoom Map: https://p.widencdn.net/l4raeq \nCampus Map: https://www.google.com/maps/place/941+Progress+Ave\,+Scarborough\,+ON+M1G+3T8\,+Canada/@43.7851523\,-79.2292043\,17z/data=!3m1!4b1!4m5!3m4!1s0x89d4d0f2145b3791:0x3da1359f5640d4 7f!8m2!3d43.7851523!4d-79.2270156 \nRSVP Required: https://events.vtools.ieee.org/m/41285 \nAbstract: The internet of things (IoT) is giving rise to previously undiscovered revenue opportunities that can transform existing business models through connected devices and innovative insights. Because of this potential\, many companies are racing to get involved. But what exactly is IoT and what does it mean to the future of your organization? \nJoin us for a forum that demystifies IoT by providing a realistic understanding of what it is\, what it requires\, and how organizations can use it to kick-start their business transformation. \nBiography: Steve Wright is a Solutions Architect at Exosite\, where he helps clients close the gap between a successful engineering project and a profitable connected products business. Steve excels at working with companies to define the right tool set of hardware\, software\, and business strategy to succeed in their IoT deployments. He started his career as a software engineer in data acquisition systems before moving into project management and sales. Steve’s experience includes turbine engine testing\, semiconductor manufacture\, and custom software development. He has an MS in Software Engineering from University of St. Thomas in St. Paul\, MN and is an Alumni of the IEEE Society.
URL:https://www.ieeetoronto.ca/event/exosite-pivot-iot-seminar-executive-forum-on-business-transformation-through-iot/
LOCATION:Room L1-02 (Library & Academic Building)\, Centennial College\, Progress Campus\, 941 Progress Ave\, Toronto\, ON M1K 5E9
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160128T183000
DTEND;TZID=America/Toronto:20160128T203000
DTSTAMP:20260522T184636
CREATED:20210429T230359Z
LAST-MODIFIED:20210429T234426Z
UID:10000035-1454005800-1454013000@www.ieeetoronto.ca
SUMMARY:IBM Internet of Things Point of View and Strategy
DESCRIPTION:Thursday January 28\, 2016 at 6:30 p.m. Jim Caldwell\, Director of IBM Internet of Things\, Continuous Engineering Solutions Development\, will be presenting “IBM Internet of Things Point of View and Strategy”. \nSpeaker: Jim Caldwell\nDirector\, IBM Internet of Things\, Continuous Engineering Solutions Development \nDay & Time: Thursday\, January 28\, 2016\n6:30 p.m. – 8:30 p.m. \nLocation: Room VIC608\nVictoria Building\, Ryerson University\n285 Victoria Street\, Toronto\nMap: http://www.ryerson.ca/maps \nContact: d.cecic@ieee.org \nAbstract: The Internet of Things is predicted to have an economic impact of more than $11 Trillion per year by 2025. It has become a focus of discussion by technologists\, the business press and the general public. Clearly something is happening but what? And what should businesses and institutions do about it? This presentation will survey the topic from IBM’s perspective. We will discuss what the Internet of Things is. We will also discuss IBM’s point of view and strategy\, some examples of offerings and client engagements. Finally\, we will conclude with some key questions and research challenges. \nBiography: As Director\, IBM Internet of Things\, Continuous Engineering Solutions Development\, Mr. Caldwell is responsible for the development of a set of software tools and solutions used in the design and development of “things”. This includes motor vehicles\, aircraft and electronic devices. He is also a member of the leadership team for IBM’s Collaborative Lifecycle Management toolset used in the design and development of large software systems industry wide. \nPreviously\, as Director of Software Group (SWG) Technical Strategy\, Mr. Caldwell was responsible for working across SWG to continually update and communicate the SWG technical strategy. This included working with SWG divisional leaders (technical and business) on key elements of strategy and cross IBM initiatives. It also included selection\, development and delivery of incubator programs and joint programs with IBM research. \nPrior to that\, Mr. Caldwell served as Director of WebSphere Application Infrastructure Product Management where he was responsible for business management of the infrastructure portion of IBM’s WebSphere portfolio of e-business products. This included WebSphere Application Server\, WebSphere Commerce Server\, WebSphere Voice Server and Embedded ViaVoice. He drove business decisions across all disciplines within these groups including development\, services\, business development\, and marketing. \nIn his more than 25 years at IBM\, Mr. Caldwell has held technical\, managerial and executive roles in IBM’s software businesses including Director\, WebSphere Commerce Development in which he helped grow IBM’s Commerce offering from an incubator activity to the market leader. Mr. Caldwell is a Mathematics graduate from the University of Waterloo and is currently based in IBM’s Toronto Software Laboratory.
URL:https://www.ieeetoronto.ca/event/ibm-internet-of-things-point-of-view-and-strategy/
LOCATION:Room VIC608\, Victoria Building\, Ryerson University\, 285 Victoria Street\, Toronto
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20151207T123000
DTEND;TZID=America/Toronto:20151207T133000
DTSTAMP:20260522T184636
CREATED:20210429T230358Z
LAST-MODIFIED:20210429T234626Z
UID:10000038-1449491400-1449495000@www.ieeetoronto.ca
SUMMARY:Connected Cars for Smart Cities
DESCRIPTION:Monday December 7\, 2015 at 12:30 p.m. Shahrokh Valaee\, Professor and Associate Chair for Undergraduate Studies at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering\, University of Toronto\, will be presenting “Connected Cars for Smart Cities”. \nSpeaker: Shahrokh Valaee\nProfessor\, Associate Chair for Undergraduate Studies\nEdward S. Rogers Sr. Department of Electrical and Computer Engineering\nUniversity of Toronto \nDay & Time: Monday\, December 7\, 2015\n12:30 p.m. – 1:30 p.m. \nLocation: Room ENG 288\, Ryerson University\nGeorge Vari Center for Engineering & Computing\n245 Church Street\, Toronto\, ON \nOrganizer: IEEE Toronto Computer\, Magnetics and Instrument-Measurement Chapters \nContact: Dr. Maryam Davoudpour \nAbstract: Recently we are witnessing the emergence of situation-aware vehicles\, equipped with plurality of sensors that can help driver with vehicle control and maneuvering. Cars that can park themselves\, provide lane-departure warning\, and monitor the driver alertness are marketed with affordable prices. The sensing and processing power of cars are increasing\, enabling various safety-enhancing features\, such as blind-spot warning\, adaptive headlights\, adaptive cruise control\, and so on. In this talk\, we will discuss the next steps for autonomous vehicles. In particular\, we will project the path forward by transitioning from autonomous cars to cognitive and intelligent vehicles. Future cars will be enabled with car-to-car and car-to-infrastructure communication capabilities. We will review such enhancement and will focus on two recent research directives that will make future cars intelligent. The two enablers are compressive sensing and network coding. We will show that cooperative compressive sensing can reduce the wireless channel congestion\, which is the main challenge in dense vehicular networks. To discuss the communications aspects of vehicular networks\, we will introduce a repetition-based medium access control method using positive orthogonal codes\, and then propose an opportunistic network-coding scheme to enhance the reliability of communication. We will finally discuss some open research issues. \nBiography: Shahrokh Valaee is with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering\, University of Toronto\, where he is a Professor and the Associate Chair for Undergraduate Studies. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab) at the University of Toronto. Professor Valaee recently served as the TPC Co-Chair of ICT 2015. He was the Track Chair of the IEEE Wireless Communications and Networking Conference (WCNC) 2014\, the TPC Co-Chair and the Local Organization Chair of IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011\, and the Co-Chair for Wireless Communications Symposium of IEEE GLOBECOM 2006. From December 2010 to December 2012\, he was the Associate Editor of the IEEE Signal Processing Letters. Currently\, he serves as an Editor of IEEE Transactions on Wireless Communications. Since Feb 2015 he has been an Editor of the Elsevier Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada.
URL:https://www.ieeetoronto.ca/event/connected-cars-for-smart-cities/
LOCATION:Room ENG 288\, Ryerson University\, 245 Church Street\, Toronto\, ON
CATEGORIES:Computer,Instrumentation & Measurement,Magnetics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20151119T130000
DTEND;TZID=America/Toronto:20151119T140000
DTSTAMP:20260522T184636
CREATED:20210429T230357Z
LAST-MODIFIED:20210429T234047Z
UID:10000042-1447938000-1447941600@www.ieeetoronto.ca
SUMMARY:Compact Discrete Representations for Scalable Similarity Search
DESCRIPTION:Thursday November 19\, 2015 at 1:00 p.m. Mohammad Norouzi\, PhD candidate in computer science at the University of Toronto\, will be presenting “Compact Discrete Representations for Scalable Similarity Search”. \nSpeaker: Mohammad Norouzi\nPhD Candidate \nDay & Time: Thursday\, November 19\, 2015\n1:00 p.m. – 2:00 p.m. \nLocation: Room ENG 106\nGeorge Vari Engineering and Computing Centre\nRyerson University\n245 Church Street\nToronto \nOrganizer: IEEE Toronto Computer\, Magnetics and Instrument-Measurement Chapters \nContact: Maryam Davoudpour\, Email:maryam.davoudpour@ieee.org \nAbstract: Scalable similarity search on images\, documents\, and user activities benefits generic search\, data visualization\, and recommendation systems. This talk concerns the design of algorithms and machine learning tools for faster and more accurate similarity search. The proposed techniques advocate the use of discrete codes for representing the similarity structure of data in a compact way. In particular\, I will discuss how one can learn to map high-dimensional data onto binary codes with a metric learning approach. Then\, I will describe a simple algorithm for fast exact nearest neighbour search in Hamming distance\, which exhibits sub-linear query time performance. Going beyond binary codes\, I will highlight a compositional generalization of k-means clustering which maps data points onto integer codes with storage and search costs that grow sub-linearly in the number of cluster centers. This representation improves upon binary codes\, and provides an even more precise approximation of Euclidean distance. Experimental results are reported on multiple datasets including a dataset of SIFT descriptors with 1B entries. \nBiography: Mohammad Norouzi is a PhD candidate in computer science at the University of Toronto. His research lies at the intersection of machine learning and computer vision. He is a recipient of a Google US/Canada PhD fellowship in machine learning. He is going to join Google as a research scientist in January 2016.
URL:https://www.ieeetoronto.ca/event/compact-discrete-representations-for-scalable-similarity-search/
LOCATION:Room ENG106\, Ryerson University
CATEGORIES:Computer,Instrumentation & Measurement,Magnetics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20150916T120000
DTEND;TZID=America/Toronto:20150916T130000
DTSTAMP:20260522T184636
CREATED:20210429T230354Z
LAST-MODIFIED:20210429T233048Z
UID:10000059-1442404800-1442408400@www.ieeetoronto.ca
SUMMARY:Error Control Coding for Low-Latency Multicast Streaming
DESCRIPTION:September 16\, 2015 at 12:00 p.m. Dr. Ashish Khisti\, Associate Professor & Canada Research Tier II\, will be presenting “Error Control Coding for Low-Latency Multicast Streaming” at Ryerson University. \nSpeaker: Dr. Ashish Khisti\nAssociate Professor & Canada Research Tier II \nDay & Time: Wednesday\, September 16\, 2015\n12:00 p.m. – 1:00 p.m. \nLocation: Room ENG288\, Department of Computer Science\, Ryerson University\n245 Church Street\, Toronto\, Ontario M5B 2K3\nClick here to see the Map – Look for ENG \nOrganizer: IEEE Toronto – Computer Chapter & DABNEL \nContact: Prof. Isaac Woungang\nDirector of DABNEL Lab\nDepartment of Computer Science\nRyerson University\nChair\, Computer Chapter\, IEEE Toronto\nE-mail: Isaac Woungang \nAbstract: An increasing number of applications require simultaneous transmission of multimedia streams to diverse users with vastly different computing and communication capabilities. While a straightforward approach is to establish an independent unicast session with each user\, it can be highly inefficient when (i) the number of users is large or (ii) the content size is large. In such applications broadcast/multicast techniques can lead to significant gains. This talk will focus on error correction coding techniques over packet erasure channels under low-latency constraints. \nThe talk will be aimed for a broad audience and will not assume prior knowledge on Error Control Coding. \nBiography: Ashish Khisti is an Associate Professor at the University of Toronto and holds a Canada Research Chair in Wireless Networks. He obtained his BASc degree from the Engineering Sciences program at the same university\, and his SM and PhD degrees from the Massachusetts Institute of Technology (MIT) in Electrical Engineering and Computer Science. His research interests include Network Information Theory\, Physical Layer Security and Error Control Coding for Multimedia Applications. He is a recipient of the HP-IRP award\, an Ontario Early Researcher Award and the Morris Joseph Levin Masterworks award from MIT. He presently serves as a Associate Editor for the IEEE Transactions on Information Theory. \nAll are welcome – No registration needed.
URL:https://www.ieeetoronto.ca/event/error-control-coding-for-low-latency-multicast-streaming/
LOCATION:ENG288\, Department of Computer Science\, Ryerson University
CATEGORIES:Computer
END:VEVENT
END:VCALENDAR