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DTSTART;TZID=America/Toronto:20201208T120000
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CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001600Z
UID:10000226-1607428800-1607432400@www.ieeetoronto.ca
SUMMARY:Nelson J. G. Fonseca\, Dec. 08\, 12 pm
DESCRIPTION:The U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) (https://edu.ieee.org/ca-uotaps/) invites you to the following talk of our 2020-2021 seminar series: \n“Quasi-Optical Antennas for Space Applications”\, presented by the European Space Agency antenna engineer\, Nelson J. G. Fonseca\, on Tuesday\, Dec. 08\, 12 PM ET. \nDay & Time: Tuesday\, December 8\, 2020\n12:00 p.m. – 1:00 p.m. \nSpeaker: Nelson J. G. Fonseca \nOrganizer: U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) \nLocation: Online (link will be provided to registrants) \nContact: Parinaz Naseri \nAbstract: This presentation provides an overview of recent multiple beam lens antenna developments supported by the European Space Agency\, for applications ranging from satcom payloads\, to imaging systems and microwave instruments. There are also on-going transfer of technology activities for 5G terrestrial communication systems. The presentation will cover related developments on polarizers\, providing polarization conversion as well as polarization selectivity for advanced antenna systems. \nRegister: Please visit https://events.vtools.ieee.org/m/250057 to register. \nBiography: Nelson J. G. Fonseca (Senior Member\, IEEE) received the M.Eng. degree from Ecole Nationale Supérieure d’Electrotechnique\, Electronique\, Informatique\, Hydraulique et Telecommunications (ENSEEIHT)\, Toulouse\, France\, in 2003\, the M.Sc. degree from the Ecole Polytechnique de Montreal\, Quebec\, Canada\, also in 2003\, and the Ph.D. degree from Institut National Polytechnique de Toulouse – Université de Toulouse\, France\, in 2010\, all in electrical engineering. \nSince 2009\, he works in the Antenna and Sub-Millimetre Waves Section\, European Space Agency (ESA)\, Noordwijk\, The Netherlands. His current research interests include multiple beam antennas for space missions\, beamformer theory and design\, ground terminal antennas and novel manufacturing techniques. He has authored or co-authored more than 200 papers in peer-reviewed journals and conferences. He contributed to 25 technical innovations\, protected by over 40 patents issued or pending.
URL:https://www.ieeetoronto.ca/event/nelson-j-g-fonseca-dec-08-12-pm/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Electromagnetics & Radiation
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201210T133000
DTEND;TZID=America/Toronto:20201210T144500
DTSTAMP:20260427T220808
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001657Z
UID:10000228-1607607000-1607611500@www.ieeetoronto.ca
SUMMARY:Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
DESCRIPTION:On Thursday\, December 10\, 2020 at 1:30 p.m.\, Steve Delaney will present “Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System” and Iwona Sokalska will present “Corda Blockchain as a Sustainable Supply Chain for Open Education”. \nDay & Time: Thursday\, December 10\, 2020\n1:30 p.m. – 2:45 p.m. \nSpeakers: Steven Delaney\, Iwona Sokalska \nOrganizer: Ryerson CS Graduate Student Council\, IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstracts: \nTitle: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System \nCost effective\, efficient and exemplary healthcare services is of paramount importance to all Canadians.   Countries around the world are addressing this through the consolidation and integration of siloed patient healthcare records into a unified system.  However\, consolidation and advances in technology that generate healthcare data threaten to overload clinicians with information. This makes the usability of healthcare data in terms of speed of access and relevancy that is optimized to the role of the clinician and healthcare scenario\, key to the success of the unified healthcare system.   My research objective is to design and demonstrate a solution\, that provides clinicians with a superior experience that provides them with the most relevant data for the current needs of the patient in order to determine and apply the best treatment in a timely manner\, using Semantic Web and Blockchain technology to support patient privacy and role based access and permission controls. \nTitle: Corda Blockchain as a Sustainable Supply Chain for Open Education: \nBlockchain solutions are disrupting the established supply chains. The ability to customize the transaction in the “business context” is one of the key reasons why blockchain will play a major role in reinventing the existing rigid supply chains. In this presentation\, we are going to look at \nCorda blockchain features that enable powerful supply chains capable of supporting new business models. We are going to build a case of why such a disruption is needed in the publishing industry to support the Open Education and Higher Education Affordability Act. The open education licences require proper attribution of contributors. One of the challenges in open education is that licences can be easily misused by 3-rd party content purveyors. In addition\, content creators often do not know where and how their content is being used. It is impossible for content creators to measure the impact of their works or to prevent licence misuse. Universities\, professors\, retail bookstores\, libraries and 3rd party higher education platforms constitute a complex ecosystem. In this ecosystem\, real barriers are causing scaling issues. The issues include content findability\, compliance\, licence misuse\, licence rigidity and proliferation of licence types and lack of interoperability for licences. The presentation will outline a Corda based supply chain and Information Retrieval to addresses these issues. Providing a decentralized platform for independent players in a system to reduce the complexity of transacting. Mainly by using smart contracts to manage licence agreement workflows. Scalability\, data privacy and data traceability are key considerations in the Corda blockchain which can be leveraged to support a sustainable business model and healthy ecosystems. \nRegister: Please visit https://events.vtools.ieee.org/m/246971 to register. \nBiographies: \nSteve Delaney \n\n\n\nSteve is a PhD candidate in Computer Science at Ryerson University working on the data quality of healthcare records.  He has an MBA from York University and an Honours Bachelor of Science degree from the University of Toronto.  He obtained his ICD.D certification from the Institute of Corporate Directors/Rotman School of Business.  He is currently on the Board of the CIO Association of Canada and is a member of several Advisory Councils.  Steve is the Co-Founder of Capital Blockchain\, a Canadian firm that develops blockchain solutions for the private and public sector.  Previously Steve was the CIO of the Ontario Telemedicine Network\, CIO of MCAP ( $100B mortgage firm) and VP Technology at RBC and BCE. \nEmail: steven.delaney@ryerson.ca \nIwona Sokalska \n\n\n\nIwona Sokalska is a 2nd-year Computer Science PhD student at Ryerson University. Iwona’s interests are in the automation of knowledge dissemination and knowledge extraction. Under the supervision of Professor Andriy Miranskyy\, Iwona is developing techniques for semantic code analysis using Artificial Intelligence\, specifically Graph Neural Networks. Iwona is a co-founder of OpenSail\, a distributed platform for licenced content dissemination. With over 10 years of experience\, Iwona has designed products and services in Medical Imaging\, Medical Informatics and Enterprise Knowledge Management Systems. Iwona holds an Honours B.Sc. double major in Computer Science and Mathematics from York University and an M.Sc. Data Science and Analytics from Ryerson University. Her mission is to improve the support of Open Education Community and increase adoption of Open Education Resources in institutions around the world.
URL:https://www.ieeetoronto.ca/event/improving-data-usability-for-clinicians-and-first-responders-in-a-unified-healthcare-system/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201214T114500
DTEND;TZID=America/Toronto:20201214T151500
DTSTAMP:20260427T220808
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001904Z
UID:10000340-1607946300-1607958900@www.ieeetoronto.ca
SUMMARY:Current and Future Trends in 5G/B5G/6G
DESCRIPTION:IEEE Young Professionals Affinity Groups of the Montreal Section\, Ottawa Section\, Toronto Section\, Turkey Section\, and the IEEE Vancouver Joint Communications Chapter bring bright minds from the flagship research groups across the globe to give the community technical lectures on cutting-edge areas in wireless communications. This event will cover broad arrays of topics along with fundamental research results targeting a variety of applications in 5G/B5G/6G. \nDay & Time: Monday\, December 14\, 2020\n11:45 a.m. – 3:15 p.m. \nSpeakers: Walid Saad\, Mehdi Bennis\, Halim Yanikomeroglu\, Wei Yu\, Vincent Wong \nOrganizers: IEEE Montreal Section YP\, Vancouver Jt Chpt VT06/COM19/PHO36/BT02/IT12/ITS38\, Ottawa Section YP\, Turkey Section YP\, Toronto Section YP \nLocation: Virtual \nContact & Register: Please visit https://events.vtools.ieee.org/m/241334 for contact information and to register. \nAgenda: \n\n\n\n\n11:45 PM – 12:00 PM\nOpening and Welcome\nMansour Naslcheraghi\, Chair of IEEE YP Montreal\n\n\n12:00 PM – 12:30 PM\nTalk\nWalid Saad\n\n\n12:30 PM – 12:35 PM\nQ&A\nWalid Saad\n\n\n12:35 PM – 01:05 PM\nTalk\nHalim Yanikomeroglu\n\n\n01:05 PM – 01:10 PM\nQ&A\nHalim Yanikomeroglu\n\n\n01:10 PM – 01:40 PM\nTalk\nVincent Wong\n\n\n01:40 PM – 01:45 PM\nQ&A\nVincent Wong\n\n\n01:45 PM – 02:15 PM\nTalk\nMehdi Bennis\n\n\n02:15 PM – 02:20 PM\nQ&A\nMehdi Bennis\n\n\n02:20 PM – 02:50 PM\nTalk\nWei Yu\n\n\n02:50 PM – 02:55 PM\nQ&A\nWei Yu\n\n\n02:55 PM – 3:10 PM\nQ&A\nAll speakers\n\n\n\n\nTopics and Abstracts: \nWalid Saad\, ECE Department\, Virginia Tech\, Blacksburg\, USA\nProfessor\, Fellow of IEEE\nTitle: Can Terahertz Communications Provide High-Rate Highly Reliable Low Latency Communications in 6G Networks? \nAbstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks\, due to the large amount of available bandwidth. However\, 6G systems will have to support\, not only high data rates\, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular\, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC)\, unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios.  Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore\, in this talk\, after a brief overview on our vision of 6G systems\, we will explore the potential of THz for meeting HRLLC requirements. In this regard\, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then\, we perform a thorough analysis of the tail-value-at-risk (TVaR)  to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS)  as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability\, although their effect remains secondary compared to the availability of LoS\, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems. \nHalim Yanikomeroglu\, ECE Department\, Carleton University\, Ottawa\, ON\, Canada\nProfessor\, Fellow of IEEE\, Fellow of Canadian Academy of Engineering\, Fellow of Engineering Institute of Canada\nTitle: Wireless Access Architecture: The Next 20+ Years \nAbstract: Communication at high-frequency terahertz (THz) bands is seen as a staple of the sixth generation (6G) of wireless cellular networks\, due to the large amount of available bandwidth. However\, 6G systems will have to support\, not only high data rates\, but also highly reliable communication links for emerging applications such as advanced wireless virtual reality (VR) systems. In particular\, advanced wireless VR applications will impose new visual and haptic requirements that are directly linked to the quality-of-experience (QoE) of VR users. These QoE requirements can only be met by wireless 6G connectivity that offers high-rate and high-reliability low latency communications (HRLLC)\, unlike the low rates usually considered in vanilla 5G ultra-reliable low latency communication scenarios.  Guaranteeing HRLLC in THz-enabled 6G systems requires dealing with the uncertainty that is specific to the THz channel. Therefore\, in this talk\, after a brief overview on our vision of 6G systems\, we will explore the potential of THz for meeting HRLLC requirements. In this regard\, we first quantify the risk for an unreliable VR performance through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay. Then\, we perform a thorough analysis of the tail-value-at-risk (TVaR)  to concretely characterize the behavior of extreme wireless events crucial to the real-time VR experience. We use this analysis to derive system reliability for scenarios with guaranteed line-of-sight (LoS)  as a function of THz network parameters. We then present simulation results that show how abundant bandwidth and low molecular absorption are necessary to improve the reliability\, although their effect remains secondary compared to the availability of LoS\, which significantly affects the THz HRLLC performance. We conclude our talk with an overview on other key open problems in the realms of THz communications and 6G systems. \nVincent Wong\, ECE Department\, University of British Columbia\, Vancouver\, BC\, Canada\nProfessor\, Fellow of IEEE\nTitle: Throughput Optimization for Grant-Free Multiple Access with Multiagent Deep Reinforcement Learning \nAbstract: Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink access of Internet of Things (IoT) devices. In this talk\, we present a deep reinforcement learning (DRL)-based pilot sequence selection scheme for GFMA systems to mitigate potential pilot sequence collisions. We formulate a pilot sequence selection problem for aggregate throughput maximization in GFMA systems with specific throughput constraints as a Markov decision process (MDP). By exploiting multiagent DRL\, we train deep neural networks (DNNs) to learn near-optimal pilot sequence selection policies from the transition history of the underlying MDP without requiring information exchange between the users. While the training process takes advantage of global information\, we leverage the technique of factorization to ensure that the policies learned by the DNNs can be executed in a distributed manner. Simulation results show that the proposed scheme can achieve an average aggregate throughput that is close to the optimum\, and has a better performance than several heuristic algorithms. \nMehdi Bennis\, ECE Department\, University of Oulu\, Finland\nProfessor\, IEEE Fellow\nAbstract: This talk will break down the vision of wireless network edge intelligence at scale in terms of theoretical and algorithmic principles in addition to a number of applications in beyond 5G/6G. \nWei Yu\, ECE Department\, University of Toronto\, Toronto\, ON\, Canada\nFellow of IEEE and a Fellow of Canadian Academy of Engineering\nTitle: Data-Driven Approaches to Wireless Communication System Design \nAbstract: In this talk\, I will illustrate how machine learning can significantly improve the design of wireless communication systems. I will draw examples from scheduling and power control problems for wireless cellular networks to show that a data-driven approach can circumvent the need for accurate channel estimation and provide near optimal solutions to system-level optimization problems in wireless system design. I will also show how deep neural network (DNN) can be used for efficient and distributed channel estimation\, quantization\, feedback\, and multiuser precoding for massive MIMO systems\, thereby providing an efficient solution to a distributed source coding problem. I will conclude by showing the benefit of data-driven design in term of robustness. \nBiographies: \n\n\n\nWalid Saad of Virginia Tech \nWalid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech\, where he leads the Network sciEnce\, Wireless\, and Security (NEWS) laboratory. His research interests include wireless networks\, machine learning\, game theory\, security\, unmanned aerial vehicles\, cyber-physical systems\, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013\, the AFOSR summer faculty fellowship in 2014\, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009\, ICIMP in 2010\, IEEE WCNC in 2012\, IEEE PIMRC in 2015\, IEEE SmartGridComm in 2015\, EuCNC in 2017\, IEEE GLOBECOM in 2018\, IFIP NTMS in 2019\, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society\, of the 2017 IEEE ComSoc Best Young Professional in Academia award\, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award\, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. From 2015-2017\, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and\, in 2017\, he was named College of Engineering Faculty Fellow. He received the Dean’s award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for major IEEE Transactions. \n\n\n\n\nHalim Yanikomeroglu \nDr. Halim Yanikomeroglu is a Professor in the Department of Systems and Computer Engineering at Carleton University\, Canada. His extensive collaboration with industry on 4G & 5G wireless technologies resulted in 37 granted patents. During 2012-2016\, he led one of the largest academic-industrial collaborative research programs on pre-standards 5G wireless. In Summer 2019\, he started a new large-scale project on the 6G wireless network architecture. He supervised 26 PhD students (all completed with theses). He is a Fellow of IEEE\, EIC (Engineering Institute of Canada)\, and CAE (Canadian Academy of Engineering)\, and a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He served as the General Chair and Technical Program Chair of several major IEEE conferences; he also served in the Editorial Boards of several IEEE periodicals. He served as the Chair of IEEE Technical Committee on Personal Communications\, and he is currently chairing the Steering Committee of IEEE’s flagship Wireless Communications and Networking Conference (WCNC). Dr. Yanikomeroglu received several awards for his research\, teaching\, and service\, including the IEEE Wireless Communications Technical Committee Recognition Award in 2018 and the IEEE Vehicular Technology Society Stuart Meyer Memorial Award in 2020. \n\n\n\n\nVincent Wong \nVincent Wong is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia\, Vancouver\, Canada. His research areas include protocol design\, optimization\, and resource management of communication networks\, with applications to the Internet\, wireless networks\, smart grid\, fog computing\, and Internet of Things. Currently\, he is an executive editorial committee member of the IEEE Transactions on Wireless Communications\, an Area Editor of the IEEE Transactions on Communications and IEEE Open Journal of the Communications Society\, and an Associate Editor of the IEEE Transactions on Mobile Computing. Dr. Wong is a Fellow of the IEEE and an IEEE Communications Society Distinguished Lecturer (2019 – 2020). \n\n\n\n\nMehdi Bennis \nDr Mehdi Bennis is an Associate Professor at the Centre for Wireless Communications\, University of Oulu\, Finland\, Academy of Finland Research Fellow and head of the intelligent connectivity and networks/systems group (ICON). His main research interests are in radio resource management\, heterogeneous networks\, game theory and distributed machine learning in 5G networks and beyond. He has published more than 200 research papers in international conferences\, journals and book chapters. He has been the recipient of several prestigious awards including the 2015 Fred W. Ellersick Prize from the IEEE Communications Society\, the 2016 Best Tutorial Prize from the IEEE Communications Society\, the 2017 EURASIP Best paper Award for the Journal of Wireless Communications and Networks\, the all-University of Oulu award for research and the 2019 IEEE ComSoc Radio Communications Committee Early Achievement Award. Dr Bennis is an editor of IEEE TCOM and Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal. \n\n\n\n\nWei Yu \nWei Yu received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo\, Waterloo\, Ontario\, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University\, Stanford\, CA\, in 1998 and 2002\, respectively. Since 2002\, he has been with the Electrical and Computer Engineering Department at the University of Toronto\, Toronto\, Ontario\, Canada\, where he is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications. Prof. Wei Yu is a Fellow of the Canadian Academy of Engineering\, and a member of the College of New Scholars\, Artists and Scientists of the Royal Society of Canada. Prof. Wei Yu was an IEEE Communications Society Distinguished Lecturer in 2015-16. He received the Steacie Memorial Fellowship in 2015\, the IEEE Marconi Prize Paper Award in Wireless Communications in 2019\, the IEEE Communications Society Award for Advances in Communication in 2019\, the IEEE Signal Processing Society Best Paper Award in 2017 and 2008\, the Journal of Communications and Networks Best Paper Award in 2017\, and the IEEE Communications Society Best Tutorial Paper Award in 2015. Professor Wei Yu currently serves as Vice President of the IEEE Information Theory Society (ITSoc) and is the President-elect of the ITSoc for 2021.
URL:https://www.ieeetoronto.ca/event/current-and-future-trends-in-5g-b5g-6g/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201218T183000
DTEND;TZID=America/Toronto:20201218T193000
DTSTAMP:20260427T220808
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001941Z
UID:10000341-1608316200-1608319800@www.ieeetoronto.ca
SUMMARY:Recent Developments in the Design of Charging Systems for Electric Vehicles
DESCRIPTION:Dr. Mohamed Z. Youssef Ph.D\, Associate Professor University of Ontario\, UOIT\, will present and discuss application of bidirectional power distribution and charging system for electric type vehicles. \nDay & Time: Friday\, December 18\, 2020\n6:30 p.m. – 7:30 p.m. \nSpeaker: Mohamed Z. Youssef of University of Ontario Institute of Technology \nOrganizer: IEEE Toronto Section IES \nLocation: Virtual – Google Meet \nContact: Mohamed Youssef \nTopic: Rail Technology Forum: Electric Vehicle Infra Structure \nTechnology Synopsis: Electric vehicles are a rapidly growing segment of transportation industry owning much of this progress to the improved technologies\, public inclination towards minimizing carbon footprint\, and government policy initiatives. Currently this industry is undergoing a technological transformation by investing heavily in charging stations infrastructure to improve the vehicle travel range. The charging station market is segmented on the basis of type\, end user\, and geography. This presentation discusses an integrated fast charging system that connects electric vehicles (VE)\, power grid\, off-grid energy storage and renewable energy sources into one distributed system through a smart management of power and available energy\, to enable clean\, sustainable operation at high levels of performance. The experimental results of a lab prototype for electric vehicles (buses) are presented. A design case of electric bus deployed for the city of Mississauga is developed and demonstrated with excellent trial run results. \nRegister: Please visit https://events.vtools.ieee.org/m/250263 to register.
URL:https://www.ieeetoronto.ca/event/recent-developments-in-the-design-of-charging-systems-for-electric-vehicles/
LOCATION:Toronto\, Canada
CATEGORIES:Industrial Electronics
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