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  • In celebration of International Women’s Day Wearables in Healthcare: A Woman’s Perspective

    Join us for an afternoon celebrating the work of women in wearable technology focused on health and life stages. Network with women using and integrating tech for the value it can provide. Collaborate in workshops where we will co-design the future wearables, apps and services that address our priorities and needs. Date: 10 Mar 2021 Time: 03:00 PM to 05:00 PM Speaker(s): Renn Scott, Samira Rahimi Location: Virtual Organizer(s): IEEE Toronto WIE, IM/RA Contact: Toronto Section Affinity Group,WIE, Toronto Section Jt. Chapter, IM09/RA24 Biographies: Renn Scott; MA, Interaction Design, RCA, Founder + Chief Designer of Daily Goods Design LABS, Senior Director of UX + ID at Myant A design leader and prolific inventor, Renn has a passion for creating innovative user experiences and forward-thinking product designs. With over 20 years of experience at companies such as Myant, IBM and BlackBerry in leadership roles within user experience, design research, consumer insights and strategic innovation, Renn has helped design best in class products and experiences. Renn’s hands-on approach and point of view as a designer is radically different than most. For any project she always starts with ‘WHY create’ in the first place and uses a co-creative design methodology and best practices based on insights gained from female consumers. Renn’s experience and observations has been that there is a lack of female design leaders and designers in the tech and design fields. Instead of just leading by example Renn also strives to empower other women to make, create and innovate in the field of design, technology and fashion by sharing her insights, skills and knowledge through Daily Goods Design LABS pop ups and educational event series. Samira Rahimi Eng. Ph.D., Assistant Professor, Department of Family Medicine, McGill University Samira Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University, affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital, and academic member of Mila—Quebec AI Institute. She is FRQS Junior 1 Research Scholar in human-centered AI in primary health care. Her work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS), Natural Sciences and Engineering Research Council (NSERC), Roche Canada, Brocher Foundation (Switzerland), and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR). With an interdisciplinary background, Dr. Rahimi is interested in the development and implementation of clinical decision support tools and patient decision aids, as well as integrating human-centered AI tools in primary health care. She specializes in computational intelligence, decision making, and applied operational research in health care.

  • PIC Microcontroller Workshop

    Virtual - Zoom

    IEEE Seneca is offering PIC Microcontroller Workshop, please check out the details below for more information. This session will be recorded and uploaded at our IEEE Seneca Website. Knowledge for the digital systems, basic electronics and C programming helps to understand the workshop. Why is PIC Microcontroller important? They are low in power consumption, high performance ability and easy to support hardware and software tools like compilers, debuggers and simulators. High integration allows the costand size of the system are reduced, which makes them easily accessible. It is easy to interface additional RAM, ROM and I/O ports. Intro to PIC Mictocontroller Workshop Date: Friday March 19, 2021 Time: 11:00 a.m. - 12:00 p.m. This workshop will be an introduction to the PIC Microcontroller featuring: Microcontroller Setup RC Oscillator MPLab X Programming ESP8266 Node MCU Microcontroller Workshop Date: Friday, March 26, 2021 Time: 11:00 a.m. – 12:00 p.m. Note: For this workshop, we will be using Arduino IDE during the session. If you would like to try out or download before the workshop, please visit https://www.arduino.cc/en/software. This workshop will feature in-depth information about Amica NodeMCU: Programming and debugging library ESP8266WiFi

  • [AP-S Seminar Series] Natalia K. Nikolova, McMaster University, Mar. 19, 4pm EDT

    Virtual - Zoom

    The University of Toronto Student Chapter of the IEEE Antennas and Propagation Society (AP-S) invites you to the following talk in our 2020-2021 seminar series: Microwave and Millimeter-Wave Near-Field Imaging: Applications, Methods, and Challenges, presented by Natalia K. Nikolova from McMaster University, on Friday, March 19, 2021, 4-5 pm EDT. Abstract: In the last decade, we have witnessed dramatic decrease in the price and size of on-chip transceivers and radars along with their increased functionality. This has spurred unprecedented growth in imaging, sensing and detection applications, defining the current and future growth of wireless technology. We will introduce the methods of real-time microwave and millimeter-wave imaging, which allow to “see” inside optically opaque objects. The electromagnetic models of wave propagation that link the object’s electrical properties to the microwave measurements are briefly introduced with an emphasis on the approximations, which enable real-time image reconstruction. We will discuss the detrimental effects of these approximations on the reconstructed images and how these effects are mitigated through the careful design of the acquisition apparatus and through data processing. We will briefly dive into the inner workings of two reconstruction methods, microwave holography and the scattered-power mapping, along with examples of real-time quantitative image reconstruction of complex dielectric objects. Speaker: Natalia K. Nikolova of McMaster University Biography: Natalia K. Nikolova (IEEE S’93–M’97–SM’05–F’11) received the Dipl. Eng. (Radioelectronics) degree from the Technical University of Varna, Bulgaria, in 1989, and the Ph.D. degree from the University of Electro-Communications, Tokyo, Japan, in 1997. From 1998 to 1999, she held a Postdoctoral Fellowship of the Natural Sciences and Engineering Research Council of Canada (NSERC) at Dalhousie University and McMaster University. In 1999, she joined the Department of Electrical and Computer Engineering at McMaster University, where she is currently a Professor. Her research interests include inverse scattering, microwave imaging, as well as computer-aided analysis and design of high-frequency structures and antennas. Prof. Nikolova has authored more than 270 refereed manuscripts, 6 book chapters, and two books, including the monograph “Introduction to Microwave Imaging” (Cambridge University Press, 2017). She has delivered 48 invited lectures around the world on the subjects of microwave imaging and detection as well as computer-aided electromagnetic analysis and design. Prof. Nikolova is a Fellow of the IEEE, the Canadian Academy of Engineering and the Engineering Institute of Canada. She served as an IEEE Distinguished Microwave Lecturer from 2010 to 2013.

  • EDS Distinguished Lecture – Differentiated Fully Depleted SOI (FDSOI) technology for highly efficient and integrated mmwave 5G connectivity solution

    Toronto, Ontario Canada

    The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Distinguished Lecturer Dr. Anirban Bandyopadhyay of Globalfoundries Inc. Please see below for the schedule and details of the talk. Topic: Differentiated Fully Depleted SOI (FDSOI) Technology for Highly Efficient and Integrated mmwave 5G Connectivity Solution Abstract: The emergence of enhanced mobile broadband (eMBB) connectivity based on mmwave 5G generated huge interest in the entire telecommunication ecosystem. While mmwave allows huge bandwidth of channels to enable enhanced broadband, it also poses a lot of technical challenges in terms of coverage, generating enough transmitted power efficiently particularly in the uplink, system cost & scaling and long term reliability of the hardware system particularly for  infrastructure including Satellite born systems. Current talk will focus on how Silicon technologies based on differentiated fully depleted SOI (FDSOI) can address the above challenges by enabling a highly efficient and integrated radio without compromising on the mmwave performance and reliability. Talk will highlight the technology Figures of Merits (FOMs) for a mmwave phased array system and how a differentiated FDSOI technology platform compares with other silicon technologies in terms of devices and circuits. Speaker: Dr. Anirban Bandyopadhyay of GLOBALFOUNDRIES INC. Biography: Dr. Anirban Bandyopadhyay is the Senior Directorof Strategic Applications within the Mobility & Wireless Infrastructure Business Unit of GLOBALFOUNDRIES, USA. His work is currently focused on hardware architecture & technology evaluations for emerging RF and mmwave applications. Prior to joining GLOBALFOUNDRIES, he was with IBM Microelectronics, New York and with Intel, California where he worked on different areas like RF Design Enablement, Silicon Photonics, signal integrity in RF & Mixed signal SOC’s. Dr. Bandyopadhyay did his PhD in Electrical Engineering from Tata Institute of Fundamental Research, India and Post-Doctoral research at Nortel, Canada and at Oregon State University, USA. He represents Global Foundries in different industry consortia and alliances on RF/mmwaveapplications and is a Distinguished Lecturer of IEEE Electron Devices Society.

  • Hands-on Reinforcement Learning Workshop using Python

    Montreal, Quebec Canada

    IEEE Young Professionals Affinity Group Montreal brings you a free hands-on reinforcement learning workshop using Python in Google Colab. This event is co-hosted by IEEE YP Ottawa, YP Toronto, YP Vancouver, IEEE SBs of Polytechnique Montreal, Concordia, ETS, INRS, WIE Ottawa, SIGHT Montreal, and CAS technical chapter of vancouver section. All students at all levels are welcome to attend, however, registration is mandatory through the secure IEEE web portal. This workshop will cover the basics of using Colab, an introduction to reinforcement learning, and together we will write your first Q-learning code. The workshop will be interactive, and you will have a chance to code with us and ask your questions. We will also have breaks, a discussion forum, polls, and Q&A. Virtual platform info has been delivered to registrants in rounds of emails. For immediate assistance, please write us at yp.ieee.mtl@gmail.com Speakers: Sadia Khaf Sadia Khaf received the B.E. degree in electrical engineering from the National University of Sciences and Technology, School of Electrical Engineering and Computer Science (NUST-SEECS), Islamabad, Pakistan, in 2015. She received the M.Sc. degree in electrical and electronics engineering from Bilkent University, Ankara, Turkey, in 2018. From 2015 to 2018, she was a Research Assistant with IONOLAB, Turkey. From 2018 to 2020, she worked with the Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan, as a Lecturer. She conducted her research there on Mobile Edge Computing and Deep Learning with the TeleCoN research group. Currently, she is with École de Technologie supérieure, Montreal, Canada, as a Ph.D. student. Her research interests include reinforcement learning, radio resource management, cognitive radio networks, and industrial internet-of-things (IIoT). She was the recipient of the highest level of merit scholarships at NUST, Bilkent, and ÉTS. She also secured the P.E.O. International Peace Scholarship. She is the co-founder of SAYA school, Pakistan, and IEEE Women in Engineering (WIE) branch at ÉTS. She serves as the Vice-Chair of the IEEE ÉTS and Industrial Relations Manager of the IEEE Montreal Young Professionals Affinity Group. Faye Satari Faye Satari was born in Quchan, a small town with minimal educational infrastructure and facilities. When she finished primary school, she was accepted in the provincial entrance exam of the Exceptional Talents High School. After excelling in high school and hard working around the clock, she participated in a very competitive tuition-free nationwide university entrance exam (i.e. Konkour) among about one and half million participants; She was accepted in Computer Software Engineering of Urmia University. During her undergraduate education, she actively participated in many teamwork projects and attended some technical seminars as well as joining associations at her university. Furthermore, she got the title of top student in technical faculty of the university in one semester and received her B. Sc. degree in Computer Software Engineering from Urmia University of Technology, Urmia, Iran, in 2008. She is currently pursuing an M.Sc.A. Computer Engineering in the Department of Computer and Software Engineering, Polytechnique Montréal, University of Montreal, Montreal, Canada and she is a member of IEEE Young Professionals. Her current research interests include the Internet of Things (IoT), Smart Cities, and telecommunications systems.

  • VT Chapter Rising Star Talks: Content Caching and Delivery in Heterogeneous Vehicular Networks

    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.).

  • EDS Distinguished Lecture – Self-Heating in FinFETs: Characterization, Reliability and Impact on Logic Circuits

    Toronto, Ontario Canada

    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.

  • IEEE VT Chapter Women in Engineering Series

    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.

  • CAS Distinguished Lecture – Augmented Perception: Next Generation Wearables and Human-Machine Interfaces

    Virtual - Zoom

    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

  • A Short Course in “Electrical Power Substations- Planning, Design, Construction & Project Management”

    Toronto, Canada

    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.

  • IEEE AESS Chapter Summit – Regions 1-7

    Growth through engagement and teamwork The IEEE AESS Chapter Summit brings together IEEE Aerospace & Electronic Systems Society chapter officers from across the US and Canada. Local volunteer leaders play a key role in engaging and serving our local members and advancing our technical interests in the complex systems of air, space, ocean and ground environments. Training, motivation, and inspiration from sharing best practices are all on the agenda. Please contact k.kramer@ieee.org for registration and connection information.

  • The Role of AI in 5G/6G and IoT-Enabled Smart Grids

    Montreal, Quebec Canada

    IEEE Young Professionals brings speakers from Canadian research groups to give the community technical talks in AI-Powered Wireless Communications and Intelligent Cyber Physical Analysis in IoT-Enabled Smart Grids. The virtual platform information will be sent to registrants a couple of hours ahead of starting the event. Contact: IEEE Young Professionals Montreal Speakers: Dr. Melike Erol-Kantarci of University of Ottawa Topic: AI-Enabled Wireless Networks: A Bridge from 5G to 6G Abstract: Future wireless networks are expected to support a multitude of services demanded by Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC) users. Heterogeneous devices with different quality of service (QoS) demands will require intelligent and flexible allocation of network resources in response to network dynamics. For instance, a highly reliable and low-latency network is needed to enable rapid transfer of messages between connected autonomous vehicles. At the same time, the same physical infrastructure is expected to serve users with high-quality video demand or even mobile Augmented/Virtual Reality entertainment applications. Next-generation wireless networks are expected to accommodate such diverse use cases. In addition, resource efficiency, reliability, and robustness are becoming more stringent for 5G and beyond networks. To meet this, future wireless networks must incorporate a paradigm shift in network resource optimization, in which efficient and intelligent resource management techniques are employed. Artificial intelligence, or more specifically machine learning algorithms stand as promising tools to intelligently manage the networks such that network efficiency, reliability, robustness goals are achieved and quality of service demands are satisfied. The opportunities that arise from learning the environment parameters under varying behavior of the wireless channel, positions AI-enabled 5G and 6G, superior to preceding generations of wireless networks. In this keynote, we will provide an overview of the state-of-art in machine learning algorithms and their applications to wireless networks, in addition to their challenges and the open issues in terms of their applicability to various functions of future wireless networks. Biography: Melike Erol-Kantarci is Canada Research Chair in AI-enabled Next-Generation Wireless Networks and Associate Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute, Toronto, and the Institute for Science, Society and Policy at University of Ottawa. She has over 150 peer-reviewed publications which have been cited over 5500 times and she has an h-index of 38. She has received numerous awards and recognitions. Recently, she received the 2020 Distinguished Service Award of the IEEE ComSoc Technical Committee on Green Communications and Computing. She was named as N2Women Stars in Computer Networking and Communications in 2019. Dr. Erol-Kantarci has delivered 50+ keynotes, tutorials and panels around the globe and has acted as the general chair and technical program chair for many international conferences and workshops. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid and Internet of things. She is an IEEE ComSoc Distinguished Lecturer, IEEE Senior member and ACM Senior Member Hadis Karimipour Topic: Intelligent Cyber Security Analysis in IoT-Enabled Smart Grids Abstract: Today’s smart grids are complex Cyber-physical Systems (CPSs) that integrate computational and physical capabilities for controlling and managing the ever-growing number of cyber-connected devices. Aside from a fault in the physical domain, CPS also suffer from cyber-attacks in both cyber and physical domain e.g., an industrial controller can be manipulated to launch various attacks such as the device state inference attack, leading to system instability. Therefore, any effort to secure the emerging critical CPSs is of paramount importance.  Nowadays, a cyber-security specialist must detect, analyze, and defend against many cyber threats in almost real-time conditions. Without the employment of artificial intelligence and machine learning techniques, dealing with a huge number of attacks in a timely manner is not possible. Intelligent, big-data analytical techniques are necessary to mine, interpret and extract knowledge of data when there is a significant amount collected from or generated by different security monitoring solutions. This talk will go through the CPS security challenges and AI-enabled state of the art solution in the literature. Biography: Dr. Hadis Karimipour is the director of the Smart Cyber-physical System (SCPS) Lab and an Assistant Professor in the School of Engineering at the University of Guelph. She is among the pioneers of using Machine Learning (ML) for security analysis of critical infrastructure. She has published more than 80 journal articles, conference papers and book chapters in top IEEE journals and conferences. She has been a keynote/invited speaker for more than 20 different IEEE/International Conference. She was the chair of the IEEE workshop on AI for Securing Cyber-Physical System (AI4SCPS) at IEEE CCECE 2019 and IEEE CyberSciTech 2020 conferences and chair of the special session on the AI for Security of IoT-Enabled Critical Infrastructures at the IEEE SMC 2020 conference. She was the technical committee member of numerous IEEE conferences, including IEEE SEGE 2018, 2019, 2020, IEEE DSAA 2020, PST 2020, IEEE EPEC 2018, 2020, and IEEE SMC 2020. Dr. Karimipour is the Associate Editor of the Frontiers in Communications and Networks Journal, Editor of American Journal of Electrical and Electronic Engineering, and Editor of Journal of Electrical Engineering. She has also served as Guest Editor for Elsevier Journal of Computer and Electrical Engineering. She was the Editor of the Springer book on Security of Cyber-physical System. Dr. Karimipour is a Senior Member of IEEE member, chair of IEEE Women in Engineering and chapter chair of the IEEE Information Theory Kitchener-Waterloo Section, and an active member of Society for Canadian Women in Science and Technology.