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  • Energy-Efficient ADC Designs assisted by SAR ADCs

    Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/331825

    The Circuits & Devices Chapter of IEEE Toronto section is pleased to invite you to join us for a virtual talk by Prof. Seun-Tak Ryu, Korea Advanced Institute of Science and Technology (KAIST), on Energy-Efficient Designs assisted by SAR ADCs. Since late 2000’s, SAR ADCs have become one of the most popular ADC architectures showing not only excellent energy efficiency but also competitive conversion speed owing to the digital-friendly compact structure and architectural evolution in deep submicron technologies. Being utilized as sub building blocks, SAR ADCs could also enhance the performance of other types of ADCs such as pipelined, delta-sigma, and even flash ADCs. This talk discusses how SAR ADCs could improve ADC performances with various architectural innovations. Speaker(s): Seung-Tak Rue, Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/331825

  • Cybersecurity for the Smart Grid – Panel Discussion

    Virtual: https://events.vtools.ieee.org/m/329122

    The nation’s energy infrastructure, particularly the power grid, has become a major target, with more frequent and sophisticated attacks from nation-states and cyber criminals. Cyber incidents could disrupt energy services, damage highly specialized equipment, and threaten public health and safety. Utilities across North America have been investing billions of US dollars for several decades to make their systems robust to mitigate cyber-attacks from hackers. This panel discussion will be a great opportunity for students, young professionals, field technicians and engineers to have a general overview on cybersecurity issues and challenges of utilities in North America. Join us on our first seminar on Cybersecurity with IEEE Toronto Section- Communications Chapter. We look forward to seeing you at the event! Panel Speakers: Eman Hammad Cybersecurity professional & interdisciplinary professional Dr. Eman Hammad is a cybersecurity professional & interdisciplinary professional focusing on trustworthy & resilient complex systems and emerging technologies. She obtained her PhD in Electrical & Computer Engineering from the University of Toronto. Eman combines practical experience and theoretical research to shape her vision for resilient-by-design solutions in the connected world. She is the director of the innovations in Systems Trust & Resilience (iSTAR) lab. Eman's work has been published in more than 50 papers, and was recognized with merit awards (best paper award, best poster award) and has been featured on multiple outlets. Most recently, she was honored as one of Canada's Top 20 Women in Cybersecurity. Eman is a senior IEEE member currently serving as Toronto ComSoc chair, and the co-chair of the IEEE 5G Security working group for the International Network Generations Roadmap (INGR). She delivered numerous invited talks in academic and industrial conferences, chaired and co-chaired several conferences and workshops, and participated in several panels. She serves on the advisory board of several initiatives. Eman is an active advocate for diversity and inclusion in STEM and Cybersecurity. Her service has been recognized by IEEE exceptional, chapter achievement, and exemplary service awards. Grant Vandebrake Senior Global Systems Engineer -Phoenix Contact Development and Manufacturing Inc. Grant Vandebrake has 9 years' experience in industrial controls and network security, of which 5 have been working specifically with critical infrastructure. Grant started with Phoenix contact in 2013 as a solutions engineer, programming PLC applications for customers primarily related to SCADA. From there he started working on securing remote SCADA connections using Phoenix Contact's security products. In 2019 Grant completed the SANS course for industrial control systems security and received his GICSP certification. Currently, Grant supports network and security application design in critical infrastructure markets for Phoenix Contact globally. Harneet Panesar Ontario Energy Board’s Chief Operating Officer Harneet Panesar was appointed as the Ontario Energy Board’s Chief Operating Officer in June 2021. He provides executive leadership to the teams in Applications, Consumer Protection & Industry Performance, Operations Decision Support and the Registrar’s Office. Harneet plays a key, leading role in operationalizing a refreshed strategic vision and direction as the Ontario Energy Board drives to be a top Quartile Regulator. He has spent the last 14 years in progressively responsible positions at Hydro One, one of the largest electric utilities in North America, most recently in the role of Director of Strategy and Integrated Planning. Harneet has a B.A.Sc. in Electrical Engineering from the University of Toronto and a Master of Business Administration from the University of Toronto’s Rotman School of Management. He is a part-time lecturer at Ryerson University, teaching a Professional Master’s Diploma in Energy and Innovation. Harneet was awarded a Fellowship with Engineers Canada for his work with Professional Engineers of Ontario (PEO) and service to the engineering profession. Will Edwards P.Eng. Infrastructure Defense Cyber Services Leader- Schweitzer Engineering Laboratories (SEL) William Edwards received his B.S.E.E. from the Georgia Institute of Technology in 2011. He joined Schweitzer Engineering Laboratories, Inc. (SEL) in 2011, where he presently leads the Infrastructure Defense Cyber Services team. William is a member of the IEEE, a certified information systems security professional, and a registered professional engineer in Alabama, Arkansas, Georgia, Puerto Rico, and Tennessee. Young Ngo Survalent Technology Corporation – Chief Technology Officer Young is the Chief Technology Officer at Survalent Technology Corporation. He is responsible for developing and driving product strategy to deliver business requirements. With over 30 years of experience within the electricity and energy sector, Young has a broad range of experience in managing technology companies. Young also has a broad knowledge of grid operations, smart grid technologies and distributed energy resources. Young’s previous roles include President & CEO for Kinects Solutions, General Manager for Kinectrics, and Director at Honeywell USA. He has a Bachelor and a Master of Science in Electrical Engineering from Stevens Institute of Technology in New Jersey in addition to Master of Business Administration from Columbia University, New York. Panel Moderator: Hugo Sanchez-Reategui Stations-Distributed Energy Resources (DER) Engineer-Alectra Utilities Corporation Hugo Sanchez-Reategui is currently Stations-Distributed Energy Resources (DER) engineer with Alectra Utilities Corporation (Ontario, Canada), previously was a DER consultant with Alectra Utilities for 10 years confirming technical requirements to connect DER projects into the Distribution and Sub Transmission System, working with multiple internal stakeholders, developers, cities, government agencies, other LDCs (Local Distribution Companies), etc. Hugo is member of Professional Engineers of Ontario (PEO) and Professional Engineer Licensed since 2013, Senior Member of IEEE and CIGRE Canada Member. In addition, Hugo was a Committee Chair of Industry Relations of IEEE Toronto from 2016 and 2018 and he was VP of Public Relations of Humber Shores Toastmasters in 2012 and 2015. Hugo is an active volunteer for IEEE, CIGRE and universities; he supports student branches across GTA, chapters, conferences organized by IEEE Canada and other events as a panelist, moderator, and speaker. Virtual: https://events.vtools.ieee.org/m/329122

  • Trends in Energy Transition

    Virtual: https://events.vtools.ieee.org/m/331846

    Join us for a session with Dr. Mostafa Farrokhabadi, Assistant Professor at the University of Calgary and part-time VP of Tech. at BluWave-ai. He received the Ph.D. degree from the University of Waterloo in 2017. He has held other engineering positions with Hatch and Canadian Solar, and adjunct and postdoctoral positions with the University of Waterloo. He is a Senior Member of the IEEE, a distinguished Associate Editor of the IEEE Transactions on Smart Grid, and an Associate Editor of the IEEE DataPort. His research focuses on the universal transition to sustainable power and energy systems. Date: Friday November 18, 12:00-13:00 EST Speaker: Mostafa Farrokhabadi, Ph.D., SMIEEE, EIT Assistant Professor, University of Calgary VP of Technology, BluWave-ai Speaker(s): Dr. Mostafa Farrokhabadi, Virtual: https://events.vtools.ieee.org/m/331846

  • LMAG Chair Teleconference Agenda 2022-Nov-21 4:00 PM (EST)

    Oakville, Ontario, Canada, L6H 2B1, Virtual: https://events.vtools.ieee.org/m/333503

    R7 LMAG MONTHLY MEETING Oakville, Ontario, Canada, L6H 2B1, Virtual: https://events.vtools.ieee.org/m/333503

  • IEEE EDS Distinguished Lecture: Low Power Design and Predictive Failure Analytics in Silicon in nm Era

    Room: BA2155, Bldg: Bahen Centre for Information Technology, 40 St George St , Toronto, Ontario, Canada, M5S 2E4, Virtual: https://events.vtools.ieee.org/m/331087

    Power has become the key driving force in processor as well AI specific accelerator designs as the frequency scale-up is reaching saturation. In order to achieve low power system, circuit and technology co-design is essential. This talk focuses on related technology and important circuit techniques for nanoscale VLSI circuits. Achieving low power and high performance simultaneously is always difficult. Technology has seen major shifts from bulk to SOI and then to non-planar devices such as FinFET and Trigates. This talk consists of pros and cons analysis on technology from power perspective and various techniques to exploit lower power. As the technology pushes towards sub-7nm era, process variability and geometric variation in devices can cause variation in power. The reliability also plays an important role in the power-performance envelope. This talk also reviews the methodology to capture such effects and describes all the power components. All the key areas of low power optimization such as reduction in active power, leakage power, short circuit power and collision power are covered. Usage of clock gating, power gating, longer channel, multi-Vt design, stacking, header-footer device techniques and other methods are described for logic and memory used for processors and AI. Finally the talk summarizes key challenges in achieving low power. In addition the tutorial gives a brief overview of predictive failure analytics used in nm Technology. Process and environmental variations impact circuit behavior it is important to model their effects to build robust circuits. The tutorial describe how key statistical techniques can be effectively used to analyze and build robust circuits. Speaker(s): Dr. Rajiv Joshi, Agenda: The event will start at 18:00PM EST and the talk will start at 18:10PM EST. Room: BA2155, Bldg: Bahen Centre for Information Technology, 40 St George St , Toronto, Ontario, Canada, M5S 2E4, Virtual: https://events.vtools.ieee.org/m/331087

  • Opportunities in Deep Learning: Commercialization and Career paths

    Virtual: https://events.vtools.ieee.org/m/326443

    Deep learning has become the new norm for a wide range of video analysis tasks, ranging from simple classification to synthesizing realistic new videos from text inputs. Keeping up with state-of-the-art DL algorithms has never been harder. Even the 'Transformer' has been given a new meaning. This presentation will uncover the mystery of deep learning in plain language and explain how those algorithms are deployed to products. More importantly, the audience will learn what it takes to become a deep learning engineer. The presentation will cover the following topics: - Recent advances in deep learning and self-supervised learning (video classification). - How are deep learning algorithms commercialized? - Career roadmap for aspirant candidates Speaker(s): Dr. Peng Dai, Virtual: https://events.vtools.ieee.org/m/326443

  • The Critical Role of Computational Modeling in Future Diagnostic, Monitoring, and Predictive Tools for Cardiovascular Diseases

    Virtual: https://events.vtools.ieee.org/m/330836

    Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on The Role of Computational Modeling in Future Diagnostic, Monitoring, and Predictive Tools for Cardiovascular Diseases , presented by Dr. Zahra K. Motamed. Tuesday, November 29, 2022 @ 4:30 – 5:30 PM Abstract: The main functions of the cardiovascular system are to transport, control and maintain blood flow in the entire body. Abnormal hemodynamics greatly alters this tranquil picture, leading to initiation and progression of disease. These abnormalities are often manifested by disturbed fluid dynamics (local hemodynamics), and in many cases by an increase in the heart workload (global hemodynamics). Hemodynamics quantification can be greatly useful for accurate and early diagnosis, but we still lack proper diagnostic methods for many cardiovascular diseases because the hemodynamics analysis methods that can be used as engines of new diagnostic tools are not well developed yet. Furthermore, as most interventions intend to recover the healthy condition, the ability to monitor and predict hemodynamics following particular interventions can have significant impacts on saving lives. Despite remarkable advances in medical imaging, imaging on its own is not predictive. Predictive methods are rare. They are extensions of diagnostic methods, enabling prediction of effects of interventions, allowing timely and personalized interventions, and helping critical clinical decision making about life-threatening risks based on quantitative data. Dr. Motamed and her team has developed innovative non-invasive image-based patient-specific diagnostic, monitoring and predictive computational-mechanics framework for patients with cardiovascular disease. Currently, none of the above metrics can be obtained noninvasively in patients in clinics and when invasive procedures are undertaken, the collected metrics cannot be by any means as complete as the results that Motamed lab’s framework provides. Speaker(s): Zahra K. Motamed, PhD , Virtual: https://events.vtools.ieee.org/m/330836

  • Digital Health – Role of Biomedical Signal Analysis

    Room: ENGLG24, Bldg: George Vari Engineering and Computing Centre, ENG, 245 Church St, Toronto, Ontario, Canada, M5B 1Z4

    This talk will focus on the role of digital technology in providing a more patient-centric and proactive healthcare system. Following a motivational introduction to wearables and their role in providing a connected digital healthcare system, specific requirements for signal analysis and machine learning would be expanded. Case study examples of some of the innovation projects in the areas of baby heart rate monitoring, continuous vital signs analysis and mental health applications will be mentioned as the translational aspects of the research and development done at the Signal Analysis Research Lab in Toronto Metropolitan University. Speaker(s): Dr. Sri Krishnan, Room: ENGLG24, Bldg: George Vari Engineering and Computing Centre, ENG, 245 Church St, Toronto, Ontario, Canada, M5B 1Z4

  • Advances in Neuroscience at UFES/Brazil

    Room: 105, Bldg: Eric Palin Hall (EPH), 87 Gerrard St E, Toronto, Ontario, Canada, M5B 2M2

    This seminar will cover topics including: - Devices for Blind People, Amputees, People with Severe Disability - Control of Appliances Through sEMG and EOG, Rehabilitation Through Serious Games - Use of Internet of Things (IoT) for Human Activity Recognition (HAR) Based on Convolutional Neural Network (CNN) - Robots for Interaction with Children with ASD and Down Syndrome - Respiratory Rate Estimation Through Deep Learning Applied to Photoplethysmogram - COVID Detection Through Recurrent Neural Networks (RNN) and Deep Learning (DL) - Several Applications with Brain-Computer Interfaces (BCIs) Based on Electroencephalography (EEG) Speaker(s): Dr. Teodiano Freire Bastos-Filho, Room: 105, Bldg: Eric Palin Hall (EPH), 87 Gerrard St E, Toronto, Ontario, Canada, M5B 2M2

  • Future Communications R&D Programme in Singapore

    Room: BA 1180, Bldg: Bahen Centre, 40 St George St, Toronto, Ontario, Canada

    Communications and connectivity have become the critical foundational technology that supports Singapore’s economy. Singapore has invested close to S$70 million through the launch of Singapore’s first national Future Communications Research and Development Programme (FCP), to jumpstart cutting-edge communications and connectivity research. This grows local capability, to translate into innovative products, services and companies. The programme is hosted by the Singapore University of Technology and Design. FCP encourages collaboration between industry and research ecosystem. It will provide easy access to testbeds to facilitate development of 5G and future communication technologies. FCP seeks to collaborate with R&D partners both domestically and internationally to explore different opportunities to advance capabilities in future communications. Speaker(s): Tony Quek , Room: BA 1180, Bldg: Bahen Centre, 40 St George St, Toronto, Ontario, Canada

  • Algorithms & protocols joint coms, localization, sensing by Dr. George Alexandropoulos

    Virtual: https://events.vtools.ieee.org/m/333747

    Title: Reconfigurable intelligent surfaces: Communications, sensing, and their integration Abstract: The advent of the connected things paradigm within 5G wireless communications enabled various sophisticated applications, whose evolution paves the way for the notion of the connected intelligence of everything in 6G networks. Recent speculations for this upcoming new generation push the 5G performance indicators to unprecedented levels, envisioning THz frequency bands, devices with embedded sensing capabilities, and native AI. All these are expected to become a reality around 2030 and with a strong green footprint. In this talk, we will elaborate around the emerging technology of Reconfigurable Intelligent Surfaces (RISs) which is provisioned as the enabler of smart wireless environments, offering a highly scalable, low-cost, hardware-efficient, and almost energy-neutral solution for the dynamic control of the propagation of electromagnetic signals. We will discuss their evolution from programmable reflecting metamaterials to connected computational- and power-autonomous hybrid metasurfaces, emphasizing on the state-of-the-art approaches for RIS-empowered communications, localization, and sensing. Short Biography: George C. Alexandropoulos received the Engineering Diploma, M.A.Sc., and Ph.D. degrees in Computer Engineering and Informatics from the School of Engineering, University of Patras, Greece in 2003, 2005, and 2010, respectively. He has held research positions at various Greek universities and research institutes, as well as at the Mathematical and Algorithmic Sciences Lab, Paris Research Center, Huawei Technologies France, and he is currently an Assistant Professor with the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA), Greece. He also serves as a Principal Researcher for the Technology Innovation Institute, Abu Dhabi, United Arab Emirates. His research interests span the general areas of algorithmic design and performance analysis for wireless networks with emphasis on multi-antenna transceiver hardware architectures, active and passive Reconfigurable Intelligent Surfaces (RISs), integrated communications and sensing, millimeter wave and THz communications, as well as distributed machine learning algorithms. He currently serves as an Editor for IEEE Transactions on Communications, IEEE Wireless Communications Letters, ELSEVIER Computer Networks, Frontiers in Communications and Networks, and the ITU Journal on Future and Evolving Technologies. In the past, he has held various fixed-term and guest editorial positions for IEEE Transactions on Wireless Communications and IEEE Communications Letters, as well as for various special issues at IEEE journals. Prof. Alexandropoulos is a Senior Member of the IEEE Communications, Signal Processing, and Information Theory Societies, the vice-chair of the (https://eurasip.org/technical-area-committees/), as well as a registered Professional Engineer of the Technical Chamber of Greece. He is also a Distinguished Lecturer of the IEEE Communications Society. He has participated and/or technically managed more than 15 European Union (EU), international, and Greek research, innovation, and development projects. He is currently NKUA's principal investigator for the EU H2020 RISE‑6G and the SNS JU TERRAMETA projects dealing with RIS-empowered smart wireless environments and THz RISs, respectively. For the former project he also serves as the dissemination manager, whereas for the latter, he also serves as the project’s technical manager. Prof. Alexandropoulos has received the best Ph.D. thesis award 2010, the IEEE Communications Society Best Young Professional in Industry Award 2018, the EURASIP Best Paper Award of the Journal on Wireless Communications and Networking 2021, the IEEE Marconi Prize Paper Award in Wireless Communications 2021, and a Best Paper Award from the IEEE GLOBECOM 2021. More information is available at www.alexandropoulos.info. Co-sponsored by: Tamseel Mahmood - syed.tamseel@ieee.org Speaker(s): Dr. Alexandropoulos, Virtual: https://events.vtools.ieee.org/m/333747

  • Cybersecurity and Machine Learning Applications

    Virtual: https://events.vtools.ieee.org/m/337646

    The Internet is the baseline for cyberspace, where technology infrastructure can be autonomous. It is a virtual space that can be accessed via different interconnected network devices. These devices can come from trusted or untrusted sources; therefore, the communication among these devices might be safe and/or unsafe which leads to insecure vulnerable communication in cyberspace. Security in cyberspace, namely Cyber-security can be described as a set of measures that makes cyberspace safe. Identifying threats and predicting vulnerabilities in this environment are the key components of the security mechanism. The main cause of security violations is the intrusion of an attacker into the network or the devices. Machine learning is one of the branches of artificial intelligence which can be used to increase the accuracy level for detecting threats in cyberspace to improve the system's efficiency and performance. In this talk, how machine learning can help detect and mitigate cyber threats is presented. Speaker(s): Dr. Mizanur Rahman, Virtual: https://events.vtools.ieee.org/m/337646