The IEEE Toronto Vehicular Technology Chapter is hosting two talks as part of their Rising Star Series! Haixia Peng and Huaqing Wu are at their final stages of their PhD studies at the University of Waterloo. They will share their research on mobile edge computing/caching/ communication, network slicing, Artificial Intelligence (AI) enabled IoV networks, and integrated space-air-ground vehicular networks during their PhD studies. Location: All events are held with Zoom Meeting https://ryerson.zoom.us/j/96808290854 Meeting ID: 968 0829 0854 Contact: Please contact Lian Zhao at l5zhao@ryerson.ca for any questions The details of each talk are below. Intelligent Multi-Dimensional Resource Slicing in MEC-Assisted Vehicular Networks Date & Time: Tuesday, March 16, 2021 7:00 p.m. – 8:00 p.m. Speaker: Haixia Peng, University of Waterloo Abstract: Benefiting from advances in the automobile industry and wireless communication technologies, the vehicular network has been emerged as a key enabler of intelligent transportation services. However, with more and more services and applications, mobile data traffic generated by vehicles has been increasing and the issue of the overloaded computing task has been getting worse. Because of the limitation of spectrum resources and vehicles’ onboard computing/caching resources, it is challenging to promote vehicular networking technologies to support the emerged services and applications, especially those requiring sensitive delay and diverse resources. To effectively address the above challenges, two potential technologies, multi access edge computing (MEC) and unmanned aerial vehicle (UAV), can be exploited in vehicular networks. In this presentation, I will introduce how to adopt optimization and AI technologies for efficient resource slicing, and therefore supporting various applications with satisfied quality of service (QoS) requirements in MEC- and/or UAV-assisted vehicular networks. For a relatively simple vehicular network scenario with only terrestrial MEC servers, a model-based method is applied for dynamic spectrum management, including spectrum slicing, spectrum allocating, and transmit power controlling. For a vehicular network supported by both terrestrial and aerial MEC servers, an AI-based method is applied to effectively manage the spectrum, computing, and caching resources while satisfying the QoS requirements of different applications. Biography: Haixia Peng received her M.S. and Ph.D. degrees in Electronics and Communication Engineering and Computer Science from Northeastern University, Shenyang, China, in 2013 and 2017, respectively. She is currently a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. Her current research focuses on Internet of vehicles, resource management, multi-access edge computing, and reinforcement learning. She has authored or co-authored more than 30 technical papers. She serves/served as a reviewer for IEEE Journals on Selected Areas in Communications (JSAC), IEEE Transactions on Communications, IEEE Transactions on Vehicular Technologies, etc. more than 20 prestigious journals, and as a TPC member in IEEE ICC, Globecom, VTC, etc. conferences. Content Caching and Delivery in Heterogeneous Vehicular Networks Date & Time: Tuesday, March 30, 2021 7:00 p.m. – 8:00 p.m. Speaker: Huaqing Wu, University of Waterloo Abstract: Connected and automated vehicles (CAVs), which enable information exchange and content delivery in real time, are expected to revolutionize current transportation systems. However, the emerging CAV applications such as content delivery pose stringent requirements on latency, throughput, and global connectivity. To empower multifarious CAV content delivery, heterogeneous vehicular networks (HetVNets), which integrate the terrestrial networks with aerial networks and space networks, can guarantee reliable, flexible, and globally seamless service provisioning. In addition, edge caching can facilitate content delivery by caching popular files in the HetVNet access points (APs) to relieve the backhaul traffic with a lower delivery delay. In this talk, we investigate the content caching and delivery schemes in the caching-enabled HetVNet. First, we study the content caching in terrestrial HetVNets with intermittent network connections. A coding-based caching scheme is designed and a matching-based content placement algorithm is proposed to minimize the content delivery delay. Second, UAV-aided caching is considered to assist vehicular content delivery in aerial-ground vehicular networks (AGVN) and a joint caching and trajectory optimization (JCTO) problem is investigated to jointly optimize content caching, content delivery, and UAV trajectory. To enable real-time decision-making in highly dynamic vehicular networks, we propose a deep supervised learning scheme to solve the JCTO problem. Third, we investigate caching-assisted cooperative content delivery in space-air-ground integrated vehicular networks (SAGVNs), where the vehicle-to-AP association, bandwidth allocation, and content delivery ratio are jointly optimized. To address the tightly coupled optimization variables, we propose a load- and mobility-aware cooperative delivery scheme to solve the joint optimization problem with the consideration of user fairness, load balancing, and vehicle mobility. Biography: Huaqing Wu received the B.E. and M.E. degrees in Electrical Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2014 and 2017, respectively. She is currently working toward the Ph.D. degree at the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. Her current research interests include vehicular networks with emphasis on edge caching, wireless resource management, space-air-ground integrated networks, and application of artificial intelligence (AI) for wireless networks. She has authored/co-authored more than 30 technical papers which are published in prestigious refereed journals (IEEE JSAC, TWC, WCM, etc.) and conferences (IEEE ICC, Globecom, VTC, etc.).
Events
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The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Distinguished Lecturer Dr. Durga Misra of the New Jersey Institute of Technology. Please see below for schedule and details. Topic: Self-Heating in FinFETs: Characterization, Reliability and Impact on Logic Circuits Abstract: Device scaling for sub-10 nm CMOS technology has introduced bulk/SOI FinFETs This talk will outline the self-heating (SH) in FinFETs and its characterization. Local self-heating can potentially affect device performance and exacerbate the effects of some reliability mechanisms. Three different measurement methodologies for the electrical characterization of FinFET self-heating at wafer-level will be described. Also, the impact of self-heating on reliability testing at DC conditions as well as realistic CMOS logic operating (AC) conditions will be discussed. Front-end-of-line (FEOL) reliability mechanisms, such as hot carrier injection (HCI) and non-uniform time dependent dielectric breakdown (TDDB) will also be outlined. Self-heating is also studied at more realistic device switching conditions in logic circuits by utilizing ring oscillators with several densities and stage counts. The measurements indicate that self-heating is considerably lower in logic circuits compared to constant voltage stress conditions and degradation is not distinguishable. Speaker: Prof. Durga Misra, Department of Electrical and Computer Engineering, New Jersey Institute of Technology Biography: Prof. Durga Misra is a Professor in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, USA. His current research interests are in the areas of nanoelectronic/optoelectronic devices and circuits; especially in the area of nanometer CMOS gate stacks and device reliability. He is a Fellow of IEEE and is currently a Distinguished Lecturer of IEEE Electron Devices Society (EDS) and served in the IEEE EDS Board of Governors. He is a Fellow of the Electrochemical Society (ECS). He received the Thomas Collinan Award from the Dielectric Science & Technology Division of ECS. He is also the winner of the Electronic and Photonic Division Award from ECS. He edited and co-edited more than 45 books and conference proceedings in his field of research. He has published more than 200 technical articles in peer reviewed Journals and in International Conference proceedings including 95 Invited Talks. He has graduated 19 PhD students and 40 MS students. He received the M.S. and Ph.D. degrees in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1985 and 1988, respectively. |
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On April 13, 2021 at 7:00 p.m., Dr. Fatima Hussain will present the talk “Insider Threat and Behaviour Modelling/Professional Career Development Discussions”. Date: Tuesday, April 13, 2021 Time: 7:00-8:00pm Speaker(s): Dr. Fatima Hussain, Senior Member, IEEE, Manager, Event Management and Analytics, User Behaviour Analytics and Insider Threat, Global Cyber Security, Royal Bank of Canada, Toronto Adjunct Professor, Ryerson University, Toronto Location: All events are held with Zoom Meeting https://ryerson.zoom.us/j/96808290854 Meeting ID: 968 0829 0854 Organizer(s): IEEE VT Chapter Contact: Lian Zhao Abstract: In the first half of the talk, discussion about behaviour modelling and insider threat is done. Insider threat classification and related threat vectors are discussed in detail. Afterwards, various methods used for identification and remediation of insider threat are presented, along with cutting edge enterprise level tools and frameworks.In the second half of the talk, we will have on-live discussions for professional caree rdevelopment, through experience sharing and opinion sharing, to encourage and guide young researchers career development plan, and to motivate women career development in engineering. Biography: Fatima Hussain received the Ph.D. and M.A.Sc. degrees in Electrical and Computer engineering from Ryerson University, Toronto, ON, Canada. Upon graduation, she was a Postdoctoral Fellow with the Network-Centric Applied Research Team (N-CART), where she worked on various NSERC-funded projects in the realm of the Internet of Things. Currently, she is part of User Behaviour and Insider Threat team ,working as a Manager, Event Management and Analytics in Royal Bank of Canada (RBC), Toronto.She is responsible foremployee profiling and detection of insider threats, by establishing baseline behaviours. She is working as an editor for IEEE Newsletter (Toronto), and associate editor for various journals. She is also an Adjunct Professor with Ryerson University and her role includes supervision of graduate research projects. Her research interests include cyber security,insider threat, XAI etc. Her background includes a number of distinguished professorships with Ryerson University and University of Guelph, where she has been awarded for her research, teaching, and course development accomplishments within wireless telecommunication and Internet of Things. |
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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. Topic: Augmented Perception: Next Generation Wearables and Human-Machine Interfaces Abstract: Products 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. Speaker: Andrew Mason of Michigan State University Biography: Andrew 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. Dr. 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. Email: mason@msu.edu |
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1 event,The Education Committee of the IEEE Toronto Section is offering a short course in “Electrical Power Substations- Planning, Design, Construction & Project Management” in April 2021 to develop an understanding of the practical applications of Power Substations Planning process, Design aspects, Substation Components, Construction practices, Commissioning & testing procedures and relevant Project Management techniques. This is the 2nd series after successful completion of earlier course delivered on “Power System Engineering, Operation and Management” to develop an overall understanding of power system engineering and technologies in the fields of generation, transmission and distribution. What will you receive after completion: “Certificate of Completion” along with CEUs and PDH (After completing & passing a short exam and evaluation); Course Materials in electronic Format; Continuous support on career advice, resume building and skills development. Course Timetable: Monday, April 26, 2021: 6.00 PM to 9.00 PM Tuesday, April 27, 2021: 6.00 PM to 9.00 PM Wednesday, April 28, 2021: 6.00 PM to 9.00 PM Thursday, April 29, 2021: 6.00 PM to 9.00 PM Friday, April 30, 2021: 6.00 PM to 9.00 PM Speaker(s): Satish Saini, Topic: Opening & Overall Course Introduction & Course Chair) Hemant Barot, Topic: Electrical Power Substations- Planning, Design, Construction & Project Management Location: Due to current COVID-19 restrictions- This course will be delivered On-Line (Virtual). Link and relevant details to join will be provided to all registered attendees / participants before the course. Organizer(s): Education Committee, IEEE Toronto Section Contact: Satish Saini Register: Please visit https://events.vtools.ieee.org/m/261750 to register and for more information. Admission Fees: Non-IEEE Members: $300 CAD + GST/HST IEEE Members: $250 CAD + GST/HST Course Outline: Day 1: Power system overview & segments; Ontario’s power system, supply mix & energy market Day 2: Power System Planning process & Design concepts Day 3: Power Sub-stations Components, layout & functionalities Day 4: Substations Bus Bar layout, configuration & categories Day 5: Electrical Substations construction, Project Management, actual case study & substations visuals (in place of site visit which has to be canceled due to COVID-19 restrictions) Course Test/Exam Biographies: Satish Saini Satish is a Licensed Professional Engineer registered with Professional Engineers Ontario with 35 years of accomplished management experience in various fields of energy and power. Electrical utility operations and management, business development and project management related to DS grid modernisation, renewable energy, smart metering / AMI, Advanced Distribution System (ADS) / Smart Grid, DSM and DMS. Actively participated in the development of various energy policies with ministries, regulatory authorities, utilities and local distribution companies. He is an active member of IEEE in various committees, Task Forces and Working Groups related to Smart Distribution, Smart Grid, MicroGrids and Smart Cities. Current Chair of IEEE Smart Grid Technical Activities Committee and Chair of Education Committee IEEE Toronto Section. Has a strong vision of developing the aging DS Grid with latest innovative technologies and solutions along with transforming utilities through smart grid programs Email: s.saini@ieee.org Hemant Barot Hemant Barot has a PhD in Power System Operation & Planning and is a certified Professional Engineer licensed in the Province of Ontario Canada and a Project Management Professional. His diverse work experience includes working with Utility, Research and Academic Institutes and Original Power Equipment Manufacturers. His experience includes working as a Senior Engineer in Transmission system Planning, Project Planning and Estimation as well as roles in Project Management, Conceptual Engineering and Academics. |
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