PD Course - e-lesson #1 - Basics of partial discharges
2021-05-25 08:00 - 15:00 (America/Toronto)
The course is intended for utility engineers, both young and senior, especially those responsible for condition assessment and maintenance of power transformers, manufacturers of transformers, transformer components, monitoring systems, sensors, etc., students and anyone wishing to understand the scientific foundation of PD measurement, anyone interested in a deeper awareness of partial discharge measurement and interpretation and staff who are responsible for transformers and want them to be more operational and efficient.
Contact: Ali Naderian
Register: Please Register Directly Using Link: https://lnkd.in/dnDybDc
Speaker: Stefan Tenbohlen of Stuttgart University
Topic: Partial Discharge Measurement for Power Transformers- Basics
Biography: Stefan Tenbohlen (M’04, S’14) received his Diploma and Dr.-Ing. degrees from the Technical University of Aachen, Germany, in 1992 and 1997, respectively. 1997 he joined ALSTOM Schorch Transformatoren GmbH, Mönchengladbach, Germany, where he was responsible for basic research and product development. From 2002 to 2004, he was the head of the electrical and mechanical design department. 2004 he was appointed to a professorship and head of the institute of Power Transmission and High Voltage Technology of the University of Stuttgart, Germany. In this position his main research fields are high voltage technique, power transmission and electromagnetic compatibility (EMC). Prof. Tenbohlen holds several patents and published more than 400 papers.

The Analog Designer's Toolbox (ADT): Towards A New Paradigm for Analog IC Design
2021-05-21 15:00 - 16:00 | Virtual – Zoom
The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Dr. Hesham Omran of Ain Shams University.
This event will be a virtual talk held on Zoom. The invitation will be sent to registerants.
Topic: The Analog Designer’s Toolbox (ADT): Towards A New Paradigm for Analog IC Design
Abstract:
The integrated circuit (IC) technology has witnessed an exponential advancement in the last decades and has changed every aspect in our life. On the other hand, the analog IC design flow did not experience any major change since the introduction of Berkeley SPICE in the 1970s, posing significant challenges to the design of complex systems and to the transfer of analog design expertise and knowledge. The Analog Designer’s Toolbox (ADT) is an analog EDA tool that addresses this problem by defining a new paradigm in analog IC design. ADT provides a turnkey solution that enables everyone to reap the benefits of the gm/ID design methodology powered by precomputed lookup tables (LUTs). At the device level, ADT Device Xplore gives an easy interface to plot arbitrary design charts involving complex expressions. The designer can explore devices from different technologies at different corners and temperatures, and extract simulator-accurate design points while taking second-order effects into consideration. At the block level, ADT Design Xplore gives the designer the power of design space exploration, constraints management, live tuning, and optimization, all in a single cockpit without invoking the simulator. Moreover, with a single click, ADT can build the testbenches in the background and report the results from your favorite simulator. The aim of ADT is to boost productivity, restore designer’s intuition, and make the design process systematic, optimized, and fun!
Speaker: Hesham Omran
Biography:
Dr. Hesham Omran received the B.Sc. (with honors) and M.Sc. degrees from Ain Shams University, Cairo, Egypt, in 2007 and 2010, respectively, and the Ph.D. degree from King Abdullah University of Science and Technology (KAUST), Saudi Arabia, in 2015, all in Electrical Engineering. From 2008 to 2011, he was a Design Engineer with Si-Ware Systems (SWS), Cairo, Egypt, where he worked on the circuit and system design of the first miniaturized FT-IR MEMS spectrometer (NeoSpectra), and a Research and Teaching Assistant with the Integrated Circuits Lab (ICL), Ain Shams University. From 2011 to 2016 he was a Researcher with the Sensors Lab, KAUST. He held internships with Bosch Research and Technology Center, CA, USA, and with Mentor Graphics, Cairo, Egypt. In 2016, he rejoined the ICL, Ain Shams University, as an Assistant Professor. He developed and taught several advanced courses on different topics in the field of IC Design. Most of these courses are available on the Mastering Microelectronics YouTube channel with 4k+ subscribers. He co-founded Master Micro in 2020 to develop the Analog Designer’s Toolbox (ADT), a winner of the Egyptian ITIDA-TIEC startup incubation program.
Dr. Hesham has received several awards including the Egyptian State Encouragement Award for Engineering Sciences in 2019, best paper award from the IEEE International Design and Test Conference in 2009, and Academic Excellence Awards from KAUST and Ain Shams University in 2011 and 2002, respectively. He has published 40+ papers in international journals and conferences. He serves as a reviewer for several international journals and conferences including IEEE Transactions on Circuits and Systems (TCAS) I & II, IEEE Transactions on Instrumentation and Measurement, and IEEE Transactions on Very Large Scale Integration Systems (TVLSI). His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation.
Email: hesham.omran@master-micro.com

IEEE VDL: Deep Learning for Physical Layer Communications: An Attempt towards 6G
2021-05-18 20:00 - 21:30 | Kingston, Ontario, Canada, Virtual: https://events.vtools.ieee.org, Kingston, Ontario, Canada, Virtual: https://events.vtools.ieee.org
Join us for the IEEE Virtual Distinguished Lecture “Deep Learning for Physical Layer Communications: An Attempt towards 6G” presented by Prof. Feifei Gao of Tsinghua University, China.
Contact: IEEE Kingston ComSoc Chapter
Abstract:
Merging artificial intelligence into the system design has appeared as a new trend in wireless communications areas and has been deemed as one of the 6G technologies. In this talk, we will present how to apply the deep neural network (DNN) for various aspects of physical layer communications design, including the channel estimation, channel prediction, channel feedback, data detection, and beamforming, etc. We will also present a promising new approach that is driven by both the communications data and the communication models. It will be seen that the DNN can be used to enhance the performance of the existing technologies once there is model mismatch. More interestingly, we will show that applying DNN can deal with the conventionally unsolvable problems, thanks to the universal approximation capability of DNN. With the well-defined propagation model in communication areas, we also attempt to explain the DNN under the scenario of channel estimation and reach a strong conclusion that DNN can always provide the asymptotically optimal channel estimations. We have also build test-bed to show the effectiveness of the AI aided wireless communications. In all, DNN is shown to be a very powerful tool for communications and would make the communications protocols more intelligently. Nevertheless, as a new born stuff, one should carefully select suitable scenarios for applying DNN rather than simply spreading it everywhere.
Biography:
Prof. Gao’s research interest include signal processing for communications, array signal processing, convex optimizations, and artificial intelligence assisted communications. He has authored/ coauthored more than 150 refereed IEEE journal papers and more than 150 IEEE conference proceeding papers that are cited more than 10000 times in Google Scholar. Prof. Gao has served as an Editor of IEEE Transactions on Wireless Communications, IEEE Journal of Selected Topics in Signal Processing (Lead Guest Editor), IEEE Transactions on Cognitive Communications and Networking, IEEE Signal Processing Letters, IEEE Communications Letters, IEEE Wireless Communications Letters, and China Communications. He has also serves as the symposium co-chair for 2019 IEEE Conference on Communications (ICC), 2018 IEEE Vehicular Technology Conference Spring (VTC), 2015 IEEE Conference on Communications (ICC), 2014 IEEE Global Communications Conference (GLOBECOM), 2014 IEEE Vehicular Technology Conference Fall (VTC), as well as Technical Committee Members for more than 50 IEEE conferences.

Reconfigurable Intelligent Surfaces: A Signal Processing Perspective
2021-05-17 01:00 - 14:30 | Montreal, Quebec Canada
Wireless connectivity is becoming as essential as electricity in our modern world. Although we would like to deliver wireless broadband services everywhere, the underlying physics makes it inherently complicated: the signal power vanishes very quickly with the propagation distance and is absorbed or scattered when interacting with objects in the way. Even when we have a “strong” signal, only one in a million parts of the signal energy is being received, thus, there is a huge room for improvements!
What if we could tune the propagation environment to our needs? This is the main goal of reconfigurable intelligent surfaces, which is an emerging concept for beyond-5G communications. The idea is to support the transmission from a source to a destination by deploying so-called metasurfaces that can reconfigure how incident signal waves are scattered. These surfaces can be electronically configured to interact with the wireless signals as if they had different shapes. For example, it can be configured to behave as a parabolic reflector that is rotated to gather signal energy and re-radiates it as a beam focused on the receiver. This feature makes use of a new design dimension: we can not only optimize the transmitter and receiver but also control the channel. This might be a game-changer when communicating at mmWave and THz frequencies, where the traditional propagation conditions are particularly cumbersome.
This might sound like science fiction but is theoretically possible. In this talk, Dr. Emil will explain the fundamentals of this new technology from a signal processing perspective. By deriving a signals-and-systems description, we can look beyond the initial hype and understand what is actually happening when using reconfigurable intelligent surfaces. Dr. Emil will also describe recent experimental validations of the fundamentals. The talk will culminate in a description of the main research challenges that need to be tackled in the coming years.
The virtual platform information will be sent to registrants a couple of hours ahead of starting the event.
Contact: IEEE Young Professionals Montreal
Speaker: Emil Björnson
Biography:
Emil Björnson received the M.S. degree in engineering mathematics from Lund University, Sweden, in 2007, and the Ph.D. degree in telecommunications from the KTH Royal Institute of Technology, Sweden, in 2011. From 2012 to 2014, he held a joint post-doctoral position at the Alcatel-Lucent Chair on Flexible Radio, SUPELEC, France, and the KTH Royal Institute of Technology. He joined Linköping University, Sweden, in 2014, where he is currently an Associate Professor. In September 2020, he became a part-time Visiting Full Professor at the KTH Royal Institute of Technology.
He has authored the textbooks Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013), Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency (2017), and Foundations of User-Centric Cell-Free Massive MIMO (2021). He is dedicated to reproducible research and has made a large amount of simulation code publicly available. He performs research on MIMO communications, radio resource allocation, machine learning for communications, and energy efficiency. He has been on the Editorial Board of the IEEE Transactions on Communications since 2017. He has been a member of the Online Editorial Team of the IEEE Transactions on Wireless Communications since 2020. He has been an Area Editor in IEEE Signal Processing Magazine since 2021.
He has performed MIMO research for over 14 years, his papers have received more than 12000 citations, and he has filed more than twenty patent applications. He is a host of the podcast Wireless Future and has a popular YouTube channel. He has received the 2014 Outstanding Young Researcher Award from IEEE ComSoc EMEA, the 2015 Ingvar Carlsson Award, the 2016 Best Ph.D. Award from EURASIP, the 2018 IEEE Marconi Prize Paper Award in Wireless Communications, the 2019 EURASIP Early Career Award, the 2019 IEEE Communications Society Fred W. Ellersick Prize, the 2019 IEEE Signal Processing Magazine Best Column Award, the 2020 Pierre-Simon Laplace Early Career Technical Achievement Award, and the 2020 CTTC Early Achievement Award. He also co-authored papers that received Best Paper Awards at the conferences, including WCSP 2009, the IEEE CAMSAP 2011, the IEEE SAM 2014, the IEEE WCNC 2014, the IEEE ICC 2015, and WCSP 2017.

ComSoc Distinguished Lecture: AI to Enable Digital Medicine and Detect COVID-19
2021-05-14 11:00 - 12:00 | Virtual – Zoom
The IEEE Ottawa Joint Chapter of Communications Society, Consumer Electronics Society, and Broadcast Technology Society (ComSoc/CESoc/BTS), IEEE Toronto Chapter (ComSoc/BTS), IEEE ComSoc Montreal Chapter (ComSoc), IEEE Ottawa Educational Activities (EA), IEEE Ottawa Women In Engineering (WIE), IEEE Ottawa Young Professionals (YP), and Algonquin College Student Branch (ACSB) in conjunction with School of Advanced Technology, Algonquin College are inviting all interested IEEE members and other engineers, technologists, and students to ComSoc Distinguished Lecture (webinar) on AI to Enable Digital Medicine and Detect COVID-19.
For any additional information please contact: Wahab Almuhtadi or Eman Hammad
Abstract:
Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. In this talk, we discuss how to design AI solutions in the clinical space and what are the key aspects to make a difference. We focus on two critical clinical topics that need AI: 1) atrial fibrillation (AF), and 2) viral illnesses (COVID-19). AF is the most common sustained cardiac arrhythmia, associated with stroke, heart failure and coronary artery disease. AF detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AF events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent convolutional neural network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance in the detection of AF using 200 thousand seconds of ECG, highlighting the potential and pitfall of this technology. We also discuss how to explain (global and local post hoc explanations) this AI model for AF detection using features that are commonly used by a cardiologist.
To tackle the problem of COVID-19, we start with an overview of continuous, passively monitored vital signs from 200,000 individuals wearing a Fitbit wearable device for 2 years. This large study provides the baseline for DETECT, our app-based, nationwide clinical study enrolling individuals who routinely use a smartwatch or other wireless devices to determine if individualized tracking of changes in heart rate, activity and sleep can provide early diagnosis and self-monitoring for COVID-19. We analyze data from more than 36,000 individuals, showing how we can discriminate (on an individual level) between COVID-19 and other types of infections. We discuss how this can impact both the individual and public health, and how the use of AI can be a game changer in this fight against the virus.
Speaker: Giorgio Quer
Giorgio Quer is the Director of Artificial Intelligence at the Scripps Research Translational Institute, where he is leading the Data Science and Analytics team within the All of Us Research Program’s Participant Center (NIH).
His research focuses on artificial intelligence and probabilistic modeling applied to heterogeneous data signals, in order to extract key information and make predictions on future occurrences based on past data. He is involved in several digital medicine initiatives within the Scripps Research Digital Trials Center. For the DETECT study, he is developing algorithms to predict COVID-19 and other viral infections from wearable sensor data. He is responsible for collaborations with several industry partners, studying changes in heart rate and sleep data monitored by commercial wearable devices. He is also interested in the detection and modeling of atrial fibrillation from single-lead ECG signals. He is leading the collaboration with the Halicioglu Data Science Institute at UC San Diego towards the development of new AI models for health data.
He received his Ph.D. degree in Information Engineering from the University of Padova, Italy, and he continued his studies as a Postdoctoral researcher with the Qualcomm Institute at the University of California San Diego. He is a Senior Member of the IEEE and a Distinguished Lecturer for the IEEE Communications society.

Electromagnetics Alumni Event
2021-05-13 16:00 - 18:00 | Virtual – Zoom
We are inviting several alumni members from the electromagnetics group, University of Toronto, Canada who are working in industry at senior positions and in academia as Professors to provide an insight on career choices after graduation. We are planning it as a semi-formal event where the speakers would share their experiences and the attendees could ask them questions.
Zoom link will be provided to the registered participants.
Contact: IEEE UofT AP-S Student Chapter
Panelists:

Dr. Michael Selvanayagam, IBM T.J. Watson Research Center, NY
Dr. Rubaiyat Islam, AMD, Canada
Dr. Marco Antoniades, Ryerson University, Canada
Dr. Loic Markley, University of British Columbia, Canada
Dr. Utkarsh Patel, AMD Canada

The Role of AI in 5G/6G and IoT-Enabled Smart Grids
2021-05-10 13:00 - 15:00 | 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.

IEEE AESS Chapter Summit - Regions 1-7
2021-05-08 10:00 - 14:00
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.

A Short Course in “Electrical Power Substations- Planning, Design, Construction & Project Management”
2021-04-26 18:00 - 2021-04-30 21:00 | 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.

CAS Distinguished Lecture - Augmented Perception: Next Generation Wearables and Human-Machine Interfaces
2021-04-16 12:00 - 13:00 | 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

IEEE VT Chapter Women in Engineering Series
2021-04-13 19:00 - 20:00
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.

EDS Distinguished Lecture - Self-Heating in FinFETs: Characterization, Reliability and Impact on Logic Circuits
2021-03-31 19:30 - 21:00 | 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.

VT Chapter Rising Star Talks: Content Caching and Delivery in Heterogeneous Vehicular Networks
2021-03-30 19:00 - 20:00
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.).

Hands-on Reinforcement Learning Workshop using Python
2021-03-23 09:00 - 13:00 | 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.

EDS Distinguished Lecture - Differentiated Fully Depleted SOI (FDSOI) technology for highly efficient and integrated mmwave 5G connectivity solution
2021-03-19 16:00 - 17:30 | 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.

[AP-S Seminar Series] Natalia K. Nikolova, McMaster University, Mar. 19, 4pm EDT
2021-03-19 16:00 - 17:00 | 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.

PIC Microcontroller Workshop
2021-03-19 - 2021-03-26 | 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

In celebration of International Women's Day Wearables in Healthcare: A Woman's Perspective
2021-03-10 15:00 - 17:00
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.

Integrated Broadband Analog Delay Circuits
2021-03-10 - 2021-03-16 | Toronto, Canada
Recording: Click here to view Part I of the talk.

The humble analog delay is simple in principle but complicated in practice. Analog delays are useful in analog filters, distributed amplifiers, and time-interleaved or pipelined analog signal processing. Unfortunately, it can be quite tricky to delay a continuous-time broadband analog waveform without distortion on an integrated circuit! Over the past two decades, our lab has repeatedly encountered the need for integrated broadband analog delays and has done much work on their implementation. Now that CMOS technologies can readily process analog signals with 10’s of GHz of bandwidth, analog delays less than one nanosecond are being used in new and creative ways. This talk reviews delay approximation and the implementation of delays from 10’s to 100’s of picoseconds having bandwidths up to 10’s of GHz. Case studies are presented using the analog delay circuits in FIR and IIR filters for wireline transceivers and in high-speed data converters.
Part I
Date: 10 Mar 2021
Time: 04:10 PM to 05:00 PM
Location: Virtual
Organizer(s): IEEE Toronto SSCS
Contact: Toronto Section Chapter, SSC37
Part II
Date: 16 Mar 2021
Time: 04:10 PM to 05:40 PM
Location: Virtual
Organizer(s): IEEE Toronto SSCS
Contact: Toronto Section Chapter, SSC37

Speaker(s): Anthony Chan Carusone
Biography: Prof. Tony Chan Carusone has taught and researched integrated circuits and systems at the University of Toronto since completing his Ph.D. there in 2002. He and his graduate students have received seven best-paper awards at leading conferences for their work on chip-to-chip and optical communication circuits, analog-to-digital conversion, and precise clock generation. Prof. Chan Carusone was a Distinguished Lecturer for the IEEE Solid-State Circuits Society 2015-2017 and currently serves on the Technical Program Committee of the International Solid-State Circuits Conference. He has co-authored the latest editions of the classic textbooks “Analog Integrated Circuit Design” along with D. Johns and K. Martin, and “Microelectronic Circuits” along with A. Sedra and K.C. Smith. He was Editor-in-Chief of the IEEE Transactions on Circuits and Systems II: Express Briefs in 2009, an Associate Editor for the IEEE Journal of Solid-State Circuits 2010-2017 and is now Editor-in-Chief of the IEEE Solid-State Circuits Letters.

Classifying Holes, Voids, Negative Objects and Nothing and Quantum Computing
2021-03-09 13:00 - 14:00
Date: Tuesday, March 9, 2021
Time: 1:00 p.m. – 2:00 p.m.
Speakers: Katrina Hooper, Javaid Iqbal Zahid
Location: Virtual – Zoom
Organizers: IEEE Toronto WIE
Contact: Maryam Davoudpour
Abstracts:
In the fields of Urban Search and Rescue (USAR), Search and Rescue (SAR) and autonomous travel, understanding the entirety of the environment is an asset and most times a requirement. For example, in USAR, it is in the spaces between objects within a rubble pile, which are a type of negative objects, where trapped people can be found and where structural instabilities are located. While most research focuses on classifying positive objects, we work to build a framework to understand negative objects and a set of standardized terminology to discuss and classify them. This presentation will discuss the necessity for creating a lexicon for negative objects, exhibit applications of negative object research, and suggest a starting point for vocabulary to reduce ambiguity around classes of negative objects. Furthermore, we aim to spark a discussion about negative object research and suggest a starting point for a novel research area.
Quantum computing is one of the emerging technologies for the future. Quantum computing is based on the principles of quantum mechanics and fuses beautifully with computer science. It is often in the news when computing supremacy is discussed. Governments and big technology companies like, IBM, Google, Microsoft, Intel, etc. along with private partners, are heavily investing in this technology. Quantum mechanics is based on counterintuitive properties like superposition, entanglement, and interference that make it different from classical computing. It is expected to outperform classical computing in certain areas of applications, like medical science, computer science, and cryptography, to name a few. In this talk, we will discuss the fundamentals of quantum computing with an introduction to the principle/properties of quantum mechanics, its usefulness for representing information, and what operations can be performed on the information represented by Qubits. While quantum gates, the fundamental information processing units of quantum computing are based on mathematical constructs from Linear Algebra and Probability, classical computing is based on Boolean Algebra and Logics gates. A number of possibilities for representing and processing quantum information are much larger than classical computing – hence the promise of larger computer power of quantum computing.
Biographies:
Katrina Hooper
Katrina is in her final year in her Computer Science Masters at Ryerson University. She holds an Honors BSc. from the University of Toronto with a specialist in Physics and a minor in Mathematics. Her interests are in the development of negative object research and imitation learning for chess engines. Under the supervision of Dr. Alex Ferworn, she works to build a lexicon and a classifier for negative objects.
Javaid Iqbal Zahid
Mr. Javaid Iqbal Zahid is currently a PhD student in Department of Computer Science, Ryerson University, and is supervised by Dr. Alex Ferworn. Mr. Javaid holds Bachelor of Science degree in Telecommunication Engineering and Master of Science degree in Electrical Engineering, specializing in Communications and Computing. Additionally, he obtained advanced training in
Cryptology and Wireless communications. Inspired by Dr. Claude E. Shannon, he has special interest in information theory, cryptography. He has been involved in deployment and operations of data networks and datacenters for a large government organization. He has also been acting as chief information security officer (CISO). At Ryerson, he is currently conducting research in quantum computing with special attention in quantum cryptography. He is member of IEEE Computer, Communication, and Information Theory Societies.

CAS Distinguished Lecture - Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine
2021-03-04 14:00 - 15:00 | Toronto, Ontario Canada
Date & Time: March 4, 2021
2:00 P.M. – 3:00 P.M.
Speaker(s): Dr. Shimeng Yu
Location: Virtual
Contact: Wagih Ismail
Abstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in the deep learning inference engine. SRAM and resistive random access memory (RRAM) are identified as two promising embedded memories to store the weights of the deep neural network (DNN) models. In this seminar, first I will review the recent progresses of SRAM and RRAM-CIM macros that are integrated with peripheral analog-to-digital converter (ADC). The bit cell variants (e.g. 6T SRAM, 8T SRAM, 1T1R, 2T2R) and array architectures that allow parallel weighted sum are discussed. State-of-the-art silicon prototypes are surveyed with normalized metrics such as energy efficiency (TOPS/W). Second, we will discuss the array-level characterizations of non-ideal device characteristics of RRAM, e.g. the variability and reliability of multilevel states, which may negatively affect the inference accuracy. Third, I will discuss the general challenges in CIM chip design with regards to the imperfect device properties, ADC overhead, and chip to chip variations. Finally, I will discuss future research directions including monolithic 3D integration of memory tier on top of the peripheral logic tier.
Biography:
Shimeng Yu is currently an associate professor of electrical and computer engineering at Georgia Institute of Technology. He received the B.S. degree in microelectronics from Peking University in 2009, and the M.S. degree and Ph.D. degree in electrical engineering from Stanford University in 2011 and 2013, respectively. From 2013 to 2018, he was an assistant professor at Arizona State University.
Prof. Yu’s research interests are the semiconductor devices and integrated circuits for energy-efficient computing systems. His research expertise is on the emerging non-volatile memories for applications such as deep learning accelerator, in-memory computing, 3D integration, and hardware security.
Among Prof. Yu’s honors, he was a recipient of NSF Faculty Early CAREER Award in 2016, IEEE Electron Devices Society (EDS) Early Career Award in 2017, ACM Special Interests Group on Design Automation (SIGDA) Outstanding New Faculty Award in 2018, Semiconductor Research Corporation (SRC) Young Faculty Award in 2019, ACM/IEEE Design Automation Conference (DAC) Under-40 Innovators Award in 2020, and IEEE Circuits and Systems Society (CASS) Distinguished Lecturer for 2021-2022, etc.
Prof. Yu served or is serving many premier conferences as technical program committee, including IEEE International Electron Devices Meeting (IEDM), IEEE Symposium on VLSI Technology, IEEE International Reliability Physics Symposium (IRPS), ACM/IEEE Design Automation Conference (DAC), ACM/IEEE Design, Automation & Test in Europe (DATE), ACM/IEEE International Conference on Computer-Aided-Design (ICCAD), etc. He is a senior member of the IEEE.
Email: shimeng.yu@ece.gatech.edu

Isola High Speed Materials and Copper Foil Selection
2021-02-23 13:30 - 14:30 | Kitchener, Ontario Canada
On Tuesday, February 23, 2021 at 1:30 p.m., Michael J. Gay from Isola will present the technical presentation “Isola High Speed Materials and Copper Foil Selection“.
Day & Time: Tuesday, February 23, 2021|
1:30 p.m. – 2:30 p.m.
Speaker: Michael J. Gay
Organizer(s): IEEE KW EMC/MAG joint Chapter, University of Toronto AP Student Chapter
Location: Virtual – WebEx
Contact: Ming Chang Wang, Parinaz Naseri
Abstract:
Are you running 10Gbps+ signal channel in your system?
What PCB materials are suitable for 10Gbps+ application?
How copper layer surface roughness affecting Signal Integrity, RF, etc?
IEEE KW EMC/MAG joint Chapter and University of Toronto AP Student Chapter invite you to join this technical presentation of “Isola High Speed Materials and Copper Foil Selection” by Michael J. Gay from Isola.
This event will be recorded for Asia Region attendees. Please register even you are not able to join live, so that you will be provided for a link with the recorded version later.
Agenda:

SI (Signal Integrity) Performance – Laminate versus SITV (Signal Integrity Test Vehicle) testing
Tech road map
Comparing Isola HSD product options
Copper foil performance factors
Isola Product Stack
Isola foil testing method and results

Register: Please visit https://events.vtools.ieee.org/m/260528 to register.
Biography:
Michael J. Gay currently holds the position of Director, High Performance Products with Isola. Michael has been with Isola for 20 years and has 25 years of experience in laminate and PCB manufacturing industries. He has held various positions at Isola which include Technical Sales Manager and Director Emerging Products Asia Pacific Region where his responsibilities ranged from new product introduction, PCB process development and technical support and troubleshooting for Isola customers. Since returning from his role in Asia, he has worked closely with major industry OEM’s to develop and qualify Isola materials for the next generation of technology.
Michael is also active in various PCB industry organizations where he currently provides technical expertise to industry critical committees and projects. He received his Bachelor of Science in Mechanical Engineering and Masters of Business Administration from Portland State University.

Derivative Data Security using Artificial Intelligence
2021-02-18 18:00 - 21:00
Recorded Material: Please click here to view the recorded technical talk.
On Thursday, February 18, 2021 at 6:00 p.m., IEEE Computer Chapter is hosting the technical talk “Derivative Data Security using Artificial Intelligence”.
Day & Time: Thursday, February 18, 2021
6:00 p.m. – 9:00 p.m.
Speaker: Zia Babar
Organizer: IEEE Toronto Computer Chapter
Location: Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses.
Contact: Younas Abbas
Abstract:
Data 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.
Enterprises 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.
Register: Please visit https://events.vtools.ieee.org/m/252704 to register.
Biography:
Zia 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.

Design And Analysis Of Chiplet Interfaces For Heterogeneous Systems
2021-02-11 14:50 - 15:50
On Thursday, February 11, 2021 at 2:50 p.m., Wendem Tsegaye Beyene will present the talk “Design And Analysis Of Chiplet Interfaces For Heterogeneous Systems”.
Day & Time: Thursday, February 11, 2021
2:50 p.m. – 3:50 p.m.
Speaker: Wendem Tsegaye Beyene
Organizer(s): IEEE Silicon Valley/SF Bay Area Electronics Packaging Chapter
Location: Virtual – Directions for connecting with the WebEx stream will be sent via email to all registrants 1-2 days prior to the event.
Contact: Durand Jarrett-Amor, Annette Teng
Abstract: The chiplet interface allows multiple silicon dies of various technologies and complexities to communicate efficiently using larger parallel interconnects in a single package. The second layer of interconnect on the package (silicon or organic interposer) provides dense channels as well as low impedance power delivery paths between multiple independent power domains. Although the channels are very short and the I/O power can be reduced by an order of magnitude, the huge increase in the transient current in multiple dies and the unique clocking architecture makes the supply noise and timing jitter the limiting factors in designing high-performance multi-die systems. This talk discusses the unique signal and power integrity challenges of chiplet interfaces.
Register: Please visit https://eps2102.eventbrite.com to register for this event.
Biography: Wendem Beyene received his B.S. and M.S. degrees in Electrical Engineering from Columbia University, and his Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign. In the past, he was employed by IBM, Hewlett-Packard, Agilent Technologies and Rambus Inc. He also worked as a principal Engineer with Intel Corp. managing a team working on modeling and analysis of power-delivery and signaling systems of digital-core and mixed-signal I/O subsystems of FPGA chips. He is an elected Associate Fellow of the Ethiopian Academy of Sciences, and has been selected as a Distinguished Llecturer for IEEE EPS as well as for IEEE EMCS Society.

Glide symmetries: a new degree of freedom for the design of periodic structures
2021-02-08 11:00 - 12:30 | Toronto, Ontario Canada
On Monday, February 8, 2021 at 11:00 a.m., IEEE Antennas and Propagation Society is hosting “Glide Symmetries: A New Degree of Freedom for the Design of Periodic Structures”.
Day & Time: Monday, February 8, 2021
11:00 a.m. – 12:30 p.m.
Speaker: Oscar Quevedo-Teruel of KTH Royal Institute of Technology
Organizer(s): IEEE Antennas and Propagation Society
Location: Virtual – Zoom
Contact: George Eleftheriades
Abstract:
Glide symmetries were employed for electromagnetic purposes during the 60s and 70s. Those works were focused on one-dimensional structures with potential application in low-dispersive leaky wave antennas. However, the development of planar/printed technologies in the 80s and 90s associated to their low-cost for low-frequency applications, the studies of glide symmetries stopped.
In the beginning of the 21st century, with arrival of metamaterials, there was a significant development of the understanding of periodic structures, and new methods of analysis were introduced. This theoretical development, together with the interest of industry in mm-waves, particularly for communications systems such as 5G, created an opportunity to explore the possibilities of glide symmetries, especially in two-dimensional configurations.
Glide-symmetric structures has recently attracted the attention of researchers due to their attractive properties for practical applications. Among their interesting properties are low-dispersive responses in fully metallic structures such as parallel plate or co-planar waveguides (CPW), bandgaps associated to the symmetries and large electromagnetic bandgaps (EBGs).
In this talk, Dr. Quevedo-Teruel will describe the most significant works in glide symmetries, including their application for the design of gap-waveguide technology and planar lens antennas with steerable angles of radiation.
Register: Please visit https://events.vtools.ieee.org/m/256420 to register.
Biography:

Oscar Quevedo-Teruel is a Senior Member of the IEEE. He received his Telecommunication Engineering Degree from Carlos III University of Madrid, Spain in 2005, part of which was done at Chalmers University of Technology in Gothenburg, Sweden. He obtained his Ph.D. from Carlos III University of Madrid in 2010 and was then invited as a postdoctoral researcher to the University of Delft (The Netherlands). From 2010-2011, Dr. Quevedo-Teruel joined the Department of Theoretical Physics of Condensed Matter at Universidad Autonoma de Madrid as a research fellow and went on to continue his postdoctoral research at Queen Mary University of London from 2011-2013.
In 2014, he joined the Division for Electromagnetic Engineering in the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden where he is an Associate Professor and Director of the Master Programme in Electromagnetics Fusion and Space Engineering. He has been an Associate Editor of the IEEE Transactions on Antennas and Propagation since 2018 and is the founder and editor-in-chief of the EurAAP journal Reviews of Electromagnetics. He was the EurAAP delegate for Sweden, Norway, and Iceland from 2018-2020 and he is now a member of the EurAAP Board of Directors. He is a distinguished lecturer of the IEEE Antennas and Propagation Society for the period of 2019-2022, and Chair of the IEEE APS Educational Initiatives Programme since 2020.
He has made scientific contributions to higher symmetries, transformation optics, lens antennas, metasurfaces, leaky wave antennas, and high impedance surfaces. He is the co-author of 95 journal papers and 150 at international conferences.

Project-based Python Workshop 3
2021-02-05 10:00 - 12:00
On Friday, February 5, 2021 at 10:00 a.m., IEEE Toronto WIE will host a Python workshop, “How to Use LSTM for Text and Time Series Classification”.
Day & Time: Friday, February 5, 2021
10:00 a.m. – 12:00 p.m.
Speaker(s): Enas Tarawneh
Organizer(s): IEEE Toronto WIE, York University WiCSE
Location: Virtual
Contact: Hina Tabassum
Abstract:
This workshop focuses on how to classify or label text using bi-LSTM RNNs. It includes pre-processing/cleaning of the text and handling severely imbalanced classes using SMOTE, oversampling, under-sampling, class count, and log smoothen weights. Using different types of LSTM such as vanilla LSTM, and Bi-LSTM, we focus on time series problems with categorical data. In summary, this workshop will cover:
a) Preprocessing text and data
b) Handling imbalanced datasets
c) Use different types of LSTMs for text and time series classification
d) Produce meaningful classification reports
Register: Please visit http://bit.ly/39IQFXd to register.
Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

IndustrioTech© Seminars - Smart Maintenance
2021-01-28 18:00 - 20:00
IEEE Toronto WIE and IM/RA is hosting “IndustrioTech”, a series of seminars on Smart Maintenance (Predictive Maintenance) using variety of technologies.
Day & Time: Thursday, January 28, 2021
6:00 p.m. – 8:00 p.m.
Speakers & Topics:
Dr. Ahmad Barari
Director of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories, Associate Professor at University of Ontario Institute of Technology
Topic: LIVE Simulation for Predictive Maintenance
Mohsen Tayefeh
Industry 4.0 strategic Business manager, CAD MicroSolutions
Topic: Imperative foundations toward Smart Maintenace: Matching up the Technology with the Business Value
Shafiul Alam
Research Engineer McMaster Manufacturing Research Institute (MMRI)
Topic: Predictive Maintenance and Industry 4.0 (Case study Honda manufacturing plant)
Dr. Amir Harandi
CEO, Artintech Inc.
Topic: ML and GA: Artificial Intelligent techniques in Smart Maintenance
Organizer(s): IEEE Toronto WIE, IM/RA
Location: Virtual
Contact: Ayda Naserialiabadi
Register: Please visit here to register.

A 26.5625Gbps to 106.25Gbps XSR SerDes with 1.55pJ/bit efficiency in 7nm CMOS
2021-01-28 16:10 - 17:00
On Thursday, January 28, 2021 at 4:10 p.m., Ravi Shivnaraine will present give a talk, “A 26.5625Gbps to 106.25Gbps XSR SerDes with 1.55pJ/bit efficiency in 7nm CMOS”.
Day & Time: Thursday, January 28, 2021
4:10 p.m. – 5:00 p.m.
Speaker(s): Ravi Shivnaraine of Rambus
Organizer(s): IEEE Toronto Solid-State Circuits Society
Location: Virtual – Zoom
Contact: Saba Zargham
Abstract: In this talk, Rambus will review their recent 26.5625Gbps to 106.25Gbps XSR SerDes macro in 7nm CMOS. The talk will go over the system architecture, self-test features, and measurement results. A 1.55pJ/b power efficiency and beachfront density of 722Gbps/mm have been achieved.
Register: Please visit https://events.vtools.ieee.org/m/257895 to register and to view the Zoom link.
Biography: Mr. Shivnaraine obtained his Bachelors and Masters from the University of Toronto in 2010 and 2012 respectively. Ravi has experience working on SerDes receivers at Snowbush, Huawei, and Rambus at 28Gbps, 56Gbps, and 112Gbps. Currently, he is at AnalogX working on next-generation SerDes in deep sub-micron nodes. His research interests are low power SerDes interfaces and digitally assisted analog techniques.

JOINT EPS/CAS WEBINAR: FLEXIBLE HYBRID ELECTRONICS 2.0
2021-01-21 21:00 - 22:30
On Thursday, January 21, 2021 at 9:00 p.m., the IEEE Toronto Circuits & Devices Chapter invites you to attend a Distinguished Lecture webinar co-sponsored by the IEEE OREGON JOINT EPS/CAS CHAPTER.
Day & Time: Thursday, January 21, 2021
9:00 p.m. – 10:30 p.m.
Speaker: Subramanian Iyer of UCLA
Organizer(s): IEEE Toronto Circuits & Devices Chapter, IEEE Oregon Joint EPS/CAS Chapter
Location: Virtual (Webex)
Connect info sent to registered attendees
Contact: Mengqi Wang, James Morris
Abstract: In the last few years, electronics packaging has rightfully emerged from the shadows of CMOS scaling to make a significant impact in high performance and mobile appliance computing. The area of Flexible Hybrid Electronics (FHE) has also developed and is making a significant impact in the area of medical and wellness electronics. The first generation of these devices have, for most part, adapted Printed Circuit Board (PCB) technology by using thinner PCBs and assembling either thinned or thin packaged “older” generation of chips on to these platforms, typically with coarse printed wiring to connect a small number of such chips. This approach, while immensely useful to get the field going, needs to adapt and borrow from the both silicon and advanced packaging technology trends, so that we can advance this trend to the next level. The key paradigm challenges ahead are: scaling the FHE in general – this includes the adoption of dielet (chiplet) technology in more advanced CMOS nodes including edge-AI, higher performance interconnects, flexible high-density energy storage, wireless communication and advanced ergonomics and all of these at lower cost and higher reliability. In this talk we will address these challenges and outline a possible technology roadmap to achieve these goals in the next few years.
Register: Please visit https://events.vtools.ieee.org/m/256124 to register.
Biography:

Subramanian S. Iyer (Subu) is Distinguished Professor and holds the Charles P. Reames Endowed Chair in the Electrical Engineering Department and a joint appointment in the Materials Science and Engineering Department at the University of California at Los Angeles. He is Director of the Center for Heterogeneous Integration and Performance Scaling (CHIPS). Prior to that he was an IBM Fellow. His key technical contributions have been the development of the world’s first SiGe base HBT, Salicide, electrical fuses, embedded DRAM and 45nm technology node used to make the first generation of truly low power portable devices as well as the first commercial interposer and 3D integrated products. He also was among the first to commercialize bonded SOI for CMOS applications through a start-up called SiBond LLC. More recently, he has been exploring new packaging paradigms and device innovations that they may enable wafer-scale architectures, in-memory analog compute and medical engineering applications. He has published over 300 papers and holds over 75 patents. He has received several outstanding technical achievements and corporate awards at IBM. He is an IEEE Fellow, an APS Fellow and a Distinguished Lecturer of the IEEE EDS and EPS and a member of the Board of Governors of IEEE EPS. He is also a Fellow of the National Academy of Inventors and iMAPS. He is a Distinguished Alumnus of IIT Bombay and received the IEEE Daniel Noble Medal for emerging technologies in 2012 and the 2020 iMAPS Daniel C. Hughes Jr Memorial award.
List of publications/patents: https://scholar.google.com/citations?user=xXV4oIMAAAAJ&hl=en
Email: S.S.Iyer@ucla.edu

Career Night Series: Writing Attention Grabbing Resumes
2021-01-19 18:00 - 20:00
On Tuesday, January 19, 2021 at 6:00 p.m., IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing Attention Grabbing Resumes & Cover Letters”.

Day & Time: Tuesday, January 19, 2021
9:00 p.m. – 10:30 p.m.
Organizers: IEEE Toronto WIE, IM/RA, Ryerson Computer Science
Location: Virtual
Contact: Wincy Li
Description: Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters!
For accessibility needs, please contact Wincy at wincyli@ryerson.ca as soon as possible.
Register: Please visit https://ryerson.zoom.us/webinar/register/WN_K0eDFX2LQtu97tfq0Wpy_w to register.
