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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210211T145000
DTEND;TZID=America/Toronto:20210211T155000
DTSTAMP:20260422T174710
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T002715Z
UID:10000351-1613055000-1613058600@www.ieeetoronto.ca
SUMMARY:Design And Analysis Of Chiplet Interfaces For Heterogeneous Systems
DESCRIPTION: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”. \nDay & Time: Thursday\, February 11\, 2021\n2:50 p.m. – 3:50 p.m. \nSpeaker: Wendem Tsegaye Beyene \nOrganizer(s): IEEE Silicon Valley/SF Bay Area Electronics Packaging Chapter \nLocation: Virtual – Directions for connecting with the WebEx stream will be sent via email to all registrants 1-2 days prior to the event. \nContact: Durand Jarrett-Amor\, Annette Teng \nAbstract: 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. \nRegister: Please visit https://eps2102.eventbrite.com to register for this event. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/design-and-analysis-of-chiplet-interfaces-for-heterogeneous-systems/
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210218T180000
DTEND;TZID=America/Toronto:20210218T210000
DTSTAMP:20260422T174710
CREATED:20210430T023721Z
LAST-MODIFIED:20210504T203454Z
UID:10000353-1613671200-1613682000@www.ieeetoronto.ca
SUMMARY:Derivative Data Security using Artificial Intelligence
DESCRIPTION:Recorded Material: Please click here to view the recorded technical talk. \nOn Thursday\, February 18\, 2021 at 6:00 p.m.\, IEEE Computer Chapter is hosting the technical talk “Derivative Data Security using Artificial Intelligence”. \nDay & Time: Thursday\, February 18\, 2021\n6:00 p.m. – 9:00 p.m. \nSpeaker: Zia Babar \nOrganizer: IEEE Toronto Computer Chapter \nLocation: Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. \nContact: Younas Abbas \nAbstract: \nData 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. \nEnterprises 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. \nRegister: Please visit https://events.vtools.ieee.org/m/252704 to register. \nBiography: \nZia 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.
URL:https://www.ieeetoronto.ca/event/derivative-data-security-using-artificial-intelligence/
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210223T133000
DTEND;TZID=America/Toronto:20210223T143000
DTSTAMP:20260422T174710
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T002947Z
UID:10000354-1614087000-1614090600@www.ieeetoronto.ca
SUMMARY:Isola High Speed Materials and Copper Foil Selection
DESCRIPTION: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“. \nDay & Time: Tuesday\, February 23\, 2021|\n1:30 p.m. – 2:30 p.m. \nSpeaker: Michael J. Gay \nOrganizer(s): IEEE KW EMC/MAG joint Chapter\, University of Toronto AP Student Chapter \nLocation: Virtual – WebEx \nContact: Ming Chang Wang\, Parinaz Naseri \nAbstract: \nAre you running 10Gbps+ signal channel in your system? \nWhat PCB materials are suitable for 10Gbps+ application? \nHow copper layer surface roughness affecting Signal Integrity\, RF\, etc? \nIEEE 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. \nThis 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. \nAgenda: \n\nSI (Signal Integrity) Performance – Laminate versus SITV (Signal Integrity Test Vehicle) testing\nTech road map\nComparing Isola HSD product options\nCopper foil performance factors\nIsola Product Stack\nIsola foil testing method and results\n\nRegister: Please visit https://events.vtools.ieee.org/m/260528 to register. \nBiography: \nMichael 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. \nMichael 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.
URL:https://www.ieeetoronto.ca/event/isola-high-speed-materials-and-copper-foil-selection/
LOCATION:Kitchener\, Ontario Canada
CATEGORIES:Magnetics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210304T140000
DTEND;TZID=America/Toronto:20210304T150000
DTSTAMP:20260422T174710
CREATED:20210430T023721Z
LAST-MODIFIED:20210501T003210Z
UID:10000356-1614866400-1614870000@www.ieeetoronto.ca
SUMMARY:CAS Distinguished Lecture - Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine
DESCRIPTION:Date & Time: March 4\, 2021\n2:00 P.M. – 3:00 P.M. \nSpeaker(s): Dr. Shimeng Yu \nLocation: Virtual \nContact: Wagih Ismail \nAbstract: 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. \nBiography: \nShimeng 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. \nProf. 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. \nAmong 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. \nProf. 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. \nEmail: shimeng.yu@ece.gatech.edu
URL:https://www.ieeetoronto.ca/event/cas-distinguished-lecture-circuit-design-and-silicon-prototypes-for-compute-in-memory-for-deep-learning-inference-engine/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210309T130000
DTEND;TZID=America/Toronto:20210309T140000
DTSTAMP:20260422T174710
CREATED:20210430T023722Z
LAST-MODIFIED:20210809T204940Z
UID:10000358-1615294800-1615298400@www.ieeetoronto.ca
SUMMARY:Classifying Holes\, Voids\, Negative Objects and Nothing and Quantum Computing
DESCRIPTION:Date: Tuesday\, March 9\, 2021 \nTime: 1:00 p.m. – 2:00 p.m. \nSpeakers: Katrina Hooper\, Javaid Iqbal Zahid \nLocation: Virtual – Zoom \nOrganizers: IEEE Toronto WIE \nContact: Maryam Davoudpour \nAbstracts:  \nIn 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. \nQuantum 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. \nBiographies: \nKatrina Hooper \nKatrina 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. \nJavaid Iqbal Zahid \nMr. 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\nCryptology 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.
URL:https://www.ieeetoronto.ca/event/classifying-holes-voids-negative-objects-and-nothing-and-quantum-computing/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210310
DTEND;VALUE=DATE:20210317
DTSTAMP:20260422T174710
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204929Z
UID:10000363-1615334400-1615939199@www.ieeetoronto.ca
SUMMARY:Integrated Broadband Analog Delay Circuits
DESCRIPTION:Recording: Click here to view Part I of the talk. \n\nThe 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. \nPart I\nDate: 10 Mar 2021 \nTime: 04:10 PM to 05:00 PM \nLocation: Virtual \nOrganizer(s): IEEE Toronto SSCS \nContact: Toronto Section Chapter\, SSC37 \nPart II\nDate: 16 Mar 2021 \nTime: 04:10 PM to 05:40 PM \nLocation: Virtual \nOrganizer(s): IEEE Toronto SSCS \nContact: Toronto Section Chapter\, SSC37 \n\nSpeaker(s): Anthony Chan Carusone \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/integrated-broadband-analog-delay-circuits-part-ii/
LOCATION:Toronto\, Canada
CATEGORIES:Solid-State Circuits
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210310T150000
DTEND;TZID=America/Toronto:20210310T170000
DTSTAMP:20260422T174710
CREATED:20210430T023723Z
LAST-MODIFIED:20210504T203713Z
UID:10000360-1615388400-1615395600@www.ieeetoronto.ca
SUMMARY:In celebration of International Women's Day Wearables in Healthcare: A Woman's Perspective
DESCRIPTION: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. \nDate: 10 Mar 2021 \nTime: 03:00 PM to 05:00 PM \nSpeaker(s): Renn Scott\, Samira Rahimi \nLocation: Virtual \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nContact: Toronto Section Affinity Group\,WIE\, Toronto Section Jt. Chapter\, IM09/RA24 \nBiographies: \nRenn Scott; MA\, Interaction Design\, RCA\, Founder + Chief Designer of Daily Goods Design LABS\, Senior Director of UX + ID at Myant \nA 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. \nRenn’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. \nSamira Rahimi Eng. Ph.D.\, Assistant Professor\, Department of Family Medicine\, McGill University \nSamira 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. \nHer 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). \nWith 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.
URL:https://www.ieeetoronto.ca/event/in-celebration-of-international-womens-day-wearables-in-healthcare-a-womans-perspective/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210319
DTEND;VALUE=DATE:20210327
DTSTAMP:20260422T174710
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204148Z
UID:10000365-1616112000-1616803199@www.ieeetoronto.ca
SUMMARY:PIC Microcontroller Workshop
DESCRIPTION: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. \nKnowledge for the digital systems\, basic electronics and C programming helps to understand the workshop. \nWhy is PIC Microcontroller important? \n\nThey are low in power consumption\, high performance ability and easy to support hardware and software tools like compilers\, debuggers and simulators.\nHigh integration allows the costand size of the system are reduced\, which makes them easily accessible.\nIt is easy to interface additional RAM\, ROM and I/O ports.\n\nIntro to PIC Mictocontroller Workshop\nDate: Friday March 19\, 2021 \nTime: 11:00 a.m. – 12:00 p.m. \nThis workshop will be an introduction to the PIC Microcontroller featuring: \n\nMicrocontroller Setup\nRC Oscillator\nMPLab X Programming\n\nESP8266 Node MCU Microcontroller Workshop\nDate: Friday\, March 26\, 2021 \nTime: 11:00 a.m. – 12:00 p.m. \nNote: 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. \nThis workshop will feature in-depth information about Amica NodeMCU: \n\nProgramming and debugging\nlibrary ESP8266WiFi
URL:https://www.ieeetoronto.ca/event/pic-microcontroller-workshop/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210319T160000
DTEND;TZID=America/Toronto:20210319T170000
DTSTAMP:20260422T174710
CREATED:20210430T023726Z
LAST-MODIFIED:20210809T204212Z
UID:10000366-1616169600-1616173200@www.ieeetoronto.ca
SUMMARY:[AP-S Seminar Series] Natalia K. Nikolova\, McMaster University\, Mar. 19\, 4pm EDT
DESCRIPTION: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: \nMicrowave 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. \nAbstract: 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. \nWe 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. \nSpeaker: Natalia K. Nikolova of McMaster University \nBiography: \nNatalia 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. \nProf. 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.
URL:https://www.ieeetoronto.ca/event/ap-s-seminar-series-natalia-k-nikolova-mcmaster-university-mar-19-4pm-edt/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210319T160000
DTEND;TZID=America/Toronto:20210319T173000
DTSTAMP:20260422T174710
CREATED:20210430T023727Z
LAST-MODIFIED:20210809T204232Z
UID:10000367-1616169600-1616175000@www.ieeetoronto.ca
SUMMARY:EDS Distinguished Lecture - Differentiated Fully Depleted SOI (FDSOI) technology for highly efficient and integrated mmwave 5G connectivity solution
DESCRIPTION: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. \nPlease see below for the schedule and details of the talk. \nTopic: Differentiated Fully Depleted SOI (FDSOI) Technology for Highly Efficient and Integrated mmwave 5G Connectivity Solution \nAbstract: \nThe 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. \nSpeaker: Dr. Anirban Bandyopadhyay of GLOBALFOUNDRIES INC. \nBiography: \nDr. 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.
URL:https://www.ieeetoronto.ca/event/eds-distinguished-lecture-differentiated-fully-depleted-soi-fdsoi-technology-for-highly-efficient-and-integrated-mmwave-5g-connectivity-solution/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210323T090000
DTEND;TZID=America/Toronto:20210323T130000
DTSTAMP:20260422T174710
CREATED:20210430T023727Z
LAST-MODIFIED:20210809T204252Z
UID:10000368-1616490000-1616504400@www.ieeetoronto.ca
SUMMARY:Hands-on Reinforcement Learning Workshop using Python
DESCRIPTION: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. \nVirtual platform info has been delivered to registrants in rounds of emails. For immediate assistance\, please write us at yp.ieee.mtl@gmail.com \nSpeakers: \nSadia Khaf \nSadia 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. \nFaye Satari \nFaye 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.
URL:https://www.ieeetoronto.ca/event/hands-on-reinforcement-learning-workshop-using-python/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:SIGHT,Women in Engineering,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210330T190000
DTEND;TZID=America/Toronto:20210330T200000
DTSTAMP:20260422T174710
CREATED:20210430T023728Z
LAST-MODIFIED:20210504T203914Z
UID:10000369-1617130800-1617134400@www.ieeetoronto.ca
SUMMARY:VT Chapter Rising Star Talks: Content Caching and Delivery in Heterogeneous Vehicular Networks
DESCRIPTION: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. \nLocation: All events are held with Zoom Meeting\nhttps://ryerson.zoom.us/j/96808290854\nMeeting ID: 968 0829 0854 \nContact: Please contact Lian Zhao at l5zhao@ryerson.ca for any questions \nThe details of each talk are below. \nIntelligent Multi-Dimensional Resource Slicing in MEC-Assisted Vehicular Networks\nDate & Time: Tuesday\, March 16\, 2021\n7:00 p.m. – 8:00 p.m. \nSpeaker: Haixia Peng\, University of Waterloo \nAbstract: 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. \nBiography: \n\nHaixia 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. \nContent Caching and Delivery in Heterogeneous Vehicular Networks\nDate & Time: Tuesday\, March 30\, 2021\n7:00 p.m. – 8:00 p.m. \nSpeaker: Huaqing Wu\, University of Waterloo \nAbstract: 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. \nBiography: \n\nHuaqing 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.).
URL:https://www.ieeetoronto.ca/event/vt-chapter-rising-star-talks-content-caching-and-delivery-in-heterogeneous-vehicular-networks/
CATEGORIES:Vehicular Technology
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210331T193000
DTEND;TZID=America/Toronto:20210331T210000
DTSTAMP:20260422T174710
CREATED:20210430T023728Z
LAST-MODIFIED:20210809T204329Z
UID:10000370-1617219000-1617224400@www.ieeetoronto.ca
SUMMARY:EDS Distinguished Lecture - Self-Heating in FinFETs: Characterization\, Reliability and Impact on Logic Circuits
DESCRIPTION: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. \nPlease see below for schedule and details. \nTopic: Self-Heating in FinFETs: Characterization\, Reliability and Impact on Logic Circuits \nAbstract: \nDevice 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. \nSpeaker: Prof. Durga Misra\, Department of Electrical and Computer Engineering\, New Jersey Institute of Technology \nBiography: \nProf. 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.
URL:https://www.ieeetoronto.ca/event/eds-distinguished-lecture-self-heating-in-finfets-characterization-reliability-and-impact-on-logic-circuits/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210413T190000
DTEND;TZID=America/Toronto:20210413T200000
DTSTAMP:20260422T174710
CREATED:20210430T023729Z
LAST-MODIFIED:20210504T201634Z
UID:10000371-1618340400-1618344000@www.ieeetoronto.ca
SUMMARY:IEEE VT Chapter Women in Engineering Series
DESCRIPTION: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”. \nDate: Tuesday\, April 13\, 2021 \nTime: 7:00-8:00pm \nSpeaker(s): Dr. Fatima Hussain\, Senior Member\, IEEE\,\nManager\, Event Management and Analytics\, User Behaviour Analytics and Insider Threat\, Global Cyber Security\, Royal Bank of Canada\, Toronto\nAdjunct Professor\, Ryerson University\, Toronto \nLocation: All events are held with Zoom Meeting\nhttps://ryerson.zoom.us/j/96808290854\nMeeting ID: 968 0829 0854 \nOrganizer(s): IEEE VT Chapter \nContact: Lian Zhao \nAbstract: 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. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/ieee-vt-chapter-women-in-engineering-series/
CATEGORIES:Vehicular Technology,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210416T120000
DTEND;TZID=America/Toronto:20210416T130000
DTSTAMP:20260422T174710
CREATED:20210430T023730Z
LAST-MODIFIED:20210809T204407Z
UID:10000372-1618574400-1618578000@www.ieeetoronto.ca
SUMMARY:CAS Distinguished Lecture - Augmented Perception: Next Generation Wearables and Human-Machine Interfaces
DESCRIPTION: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. \nTopic: Augmented Perception: Next Generation Wearables and Human-Machine Interfaces \nAbstract: \nProducts 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. \nSpeaker: Andrew Mason of Michigan State University \nBiography: \nAndrew 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. \nDr. 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. \nEmail: mason@msu.edu
URL:https://www.ieeetoronto.ca/event/cas-distinguished-lecture-augmented-perception-next-generation-wearables-and-human-machine-interfaces/
LOCATION:Virtual – Zoom
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210426T180000
DTEND;TZID=America/Toronto:20210430T210000
DTSTAMP:20260422T174710
CREATED:20210430T023730Z
LAST-MODIFIED:20210615T004303Z
UID:10000373-1619460000-1619816400@www.ieeetoronto.ca
SUMMARY:A Short Course in “Electrical Power Substations- Planning\, Design\, Construction & Project Management”
DESCRIPTION: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. \nWhat 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. \nCourse Timetable: \n\nMonday\, April 26\, 2021: 6.00 PM to 9.00 PM\nTuesday\, April 27\, 2021: 6.00 PM to 9.00 PM\nWednesday\, April 28\, 2021: 6.00 PM to 9.00 PM\nThursday\, April 29\, 2021: 6.00 PM to 9.00 PM\nFriday\, April 30\, 2021: 6.00 PM to 9.00 PM\n\nSpeaker(s): \n\nSatish Saini\, Topic: Opening & Overall Course Introduction & Course Chair)\nHemant Barot\, Topic: Electrical Power Substations- Planning\, Design\, Construction & Project Management\n\nLocation: 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. \nOrganizer(s): Education Committee\, IEEE Toronto Section \nContact: Satish Saini \nRegister: Please visit https://events.vtools.ieee.org/m/261750 to register and for more information. \nAdmission Fees: \n\nNon-IEEE Members: $300 CAD + GST/HST\nIEEE Members: $250 CAD + GST/HST\n\nCourse Outline: \n\nDay 1: Power system overview & segments; Ontario’s power system\, supply mix & energy market\nDay 2: Power System Planning process & Design concepts\nDay 3: Power Sub-stations Components\, layout & functionalities\nDay 4: Substations Bus Bar layout\, configuration & categories\nDay 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)\nCourse Test/Exam\n\nBiographies: \nSatish Saini \nSatish 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 \nEmail: s.saini@ieee.org \nHemant Barot \nHemant 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.
URL:https://www.ieeetoronto.ca/event/a-short-course-in-electrical-power-substations-planning-design-construction-project-management/
LOCATION:Toronto\, Canada
CATEGORIES:Education
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210508T100000
DTEND;TZID=America/Toronto:20210508T140000
DTSTAMP:20260422T174710
CREATED:20210520T161919Z
LAST-MODIFIED:20210809T204512Z
UID:10000414-1620468000-1620482400@www.ieeetoronto.ca
SUMMARY:IEEE AESS Chapter Summit - Regions 1-7
DESCRIPTION:Growth through engagement and teamwork \n\n\n \nThe 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. \nTraining\, motivation\, and inspiration from sharing best practices are all on the agenda. \nPlease contact k.kramer@ieee.org for registration and connection information.
URL:https://www.ieeetoronto.ca/event/ieee-aess-chapter-summit-regions-1-7/
CATEGORIES:Aerospace & Electronic Systems
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210510T130000
DTEND;TZID=America/Toronto:20210510T150000
DTSTAMP:20260422T174710
CREATED:20210430T023731Z
LAST-MODIFIED:20210809T204608Z
UID:10000374-1620651600-1620658800@www.ieeetoronto.ca
SUMMARY:The Role of AI in 5G/6G and IoT-Enabled Smart Grids
DESCRIPTION: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. \nThe virtual platform information will be sent to registrants a couple of hours ahead of starting the event. \nContact: IEEE Young Professionals Montreal \nSpeakers: \nDr. Melike Erol-Kantarci of University of Ottawa\nTopic: AI-Enabled Wireless Networks: A Bridge from 5G to 6G \nAbstract: \nFuture 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. \nBiography: \nMelike 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 \nHadis Karimipour \nTopic: Intelligent Cyber Security Analysis in IoT-Enabled Smart Grids \nAbstract: \nToday’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. \nAside 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. \nBiography: \nDr. 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.\nDr. 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.
URL:https://www.ieeetoronto.ca/event/the-role-of-ai-in-5g-6g-and-iot-enabled-smart-grids/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:Women in Engineering,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210513T160000
DTEND;TZID=America/Toronto:20210513T180000
DTSTAMP:20260422T174710
CREATED:20210506T165445Z
LAST-MODIFIED:20210809T204621Z
UID:10000411-1620921600-1620928800@www.ieeetoronto.ca
SUMMARY:Electromagnetics Alumni Event
DESCRIPTION: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. \nZoom link will be provided to the registered participants. \nContact: IEEE UofT AP-S Student Chapter \nPanelists: \n\nDr. Michael Selvanayagam\, IBM T.J. Watson Research Center\, NY\nDr. Rubaiyat Islam\, AMD\, Canada\nDr. Marco Antoniades\, Ryerson University\, Canada\nDr. Loic Markley\, University of British Columbia\, Canada\nDr. Utkarsh Patel\, AMD Canada
URL:https://www.ieeetoronto.ca/event/electromagnetics-alumni-event/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210514T110000
DTEND;TZID=America/Toronto:20210514T120000
DTSTAMP:20260422T174710
CREATED:20210504T165404Z
LAST-MODIFIED:20210809T204633Z
UID:10000279-1620990000-1620993600@www.ieeetoronto.ca
SUMMARY:ComSoc Distinguished Lecture: AI to Enable Digital Medicine and Detect COVID-19
DESCRIPTION: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. \nFor any additional information please contact: Wahab Almuhtadi or Eman Hammad \nAbstract: \nDigitalize 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. \nTo 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. \nSpeaker: Giorgio Quer \nGiorgio 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). \nHis 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. \nHe 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.
URL:https://www.ieeetoronto.ca/event/comsoc-distinguished-lecture-ai-to-enable-digital-medicine-and-detect-covid-19/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210517T010000
DTEND;TZID=America/Toronto:20210517T143000
DTSTAMP:20260422T174710
CREATED:20210430T023731Z
LAST-MODIFIED:20210809T204646Z
UID:10000375-1621213200-1621261800@www.ieeetoronto.ca
SUMMARY:Reconfigurable Intelligent Surfaces: A Signal Processing Perspective
DESCRIPTION: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! \nWhat 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. \nThis 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. \nThe virtual platform information will be sent to registrants a couple of hours ahead of starting the event. \nContact: IEEE Young Professionals Montreal \nSpeaker: Emil Björnson \nBiography: \nEmil 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. \nHe 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. \nHe 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.
URL:https://www.ieeetoronto.ca/event/reconfigurable-intelligent-surfaces-a-signal-processing-perspective/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210518T200000
DTEND;TZID=America/Toronto:20210518T213000
DTSTAMP:20260422T174710
CREATED:20210506T165446Z
LAST-MODIFIED:20210809T204704Z
UID:10000412-1621368000-1621373400@www.ieeetoronto.ca
SUMMARY:IEEE VDL: Deep Learning for Physical Layer Communications: An Attempt towards 6G
DESCRIPTION: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. \nContact: IEEE Kingston ComSoc Chapter \nAbstract: \nMerging 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. \nBiography: \nProf. 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.
URL:https://www.ieeetoronto.ca/event/ieee-vdl-deep-learning-for-physical-layer-communications-an-attempt-towards-6g/
LOCATION:Kingston\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org\, Kingston\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210521T150000
DTEND;TZID=America/Toronto:20210521T160000
DTSTAMP:20260422T174710
CREATED:20210504T165404Z
LAST-MODIFIED:20210809T204727Z
UID:10000410-1621609200-1621612800@www.ieeetoronto.ca
SUMMARY:The Analog Designer's Toolbox (ADT): Towards A New Paradigm for Analog IC Design
DESCRIPTION: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. \nThis event will be a virtual talk held on Zoom. The invitation will be sent to registerants. \nTopic: The Analog Designer’s Toolbox (ADT): Towards A New Paradigm for Analog IC Design \nAbstract: \nThe 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! \nSpeaker: Hesham Omran \nBiography: \nDr. 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. \nDr. 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. \nEmail: hesham.omran@master-micro.com
URL:https://www.ieeetoronto.ca/event/the-analog-designers-toolbox-adt-towards-a-new-paradigm-for-analog-ic-design/
LOCATION:Virtual – Zoom
CATEGORIES:Circuits & Devices
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210525T080000
DTEND;TZID=America/Toronto:20210525T150000
DTSTAMP:20260422T174710
CREATED:20210601T190345Z
LAST-MODIFIED:20210809T204741Z
UID:10000419-1621929600-1621954800@www.ieeetoronto.ca
SUMMARY:PD Course - e-lesson #1 - Basics of partial discharges
DESCRIPTION: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. \nContact: Ali Naderian \nRegister: Please Register Directly Using Link: https://lnkd.in/dnDybDc \nSpeaker: Stefan Tenbohlen of Stuttgart University \nTopic: Partial Discharge Measurement for Power Transformers- Basics \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/pd-course-e-lesson-1-basics-of-partial-discharges/
CATEGORIES:Dielectrics & Electrical Insulation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210526T200000
DTEND;TZID=America/Toronto:20210526T210000
DTSTAMP:20260422T174710
CREATED:20210506T165447Z
LAST-MODIFIED:20210809T204752Z
UID:10000413-1622059200-1622062800@www.ieeetoronto.ca
SUMMARY:Enriching Public Speaking and Networking
DESCRIPTION:Having good communication and networking skills are essential to succeed in any industry\, especially for engineering students. \nJoin our workshop to improve public speaking and gain networking skills from IEEE\, our special guest\, Ana Acioli. Ana has great experiences networking with other engineers in her field while being a student. She will share how she overcame the fear of public speaking\, her techniques\, and the resources she has been using to improve her communication skills. Furthermore\, take the chance to join our community IEEE\, an engineering student organization where we share our passion as potential engineering students. \nSpeakers: Ana Acioli\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/enriching-public-speaking-and-networking/
LOCATION:Virtual – Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210527T120000
DTEND;TZID=America/Toronto:20210527T130000
DTSTAMP:20260422T174710
CREATED:20210601T190546Z
LAST-MODIFIED:20210809T204803Z
UID:10000420-1622116800-1622120400@www.ieeetoronto.ca
SUMMARY:Integrated Terrestrial-Aerial-Satellite Networks: Key Enabler for the Super Smart Cities of the Future
DESCRIPTION:There have been rapid and exciting developments in recent years in satellite networks\, in particular\, in LEO mega-constellations such as SpaceX’s Starlink. Although less visible\, exciting developments have also been taking place in a certain type of aerial networks known as the high-altitude platform station (HAPS) systems\, such as the formation of HAPS Alliance which brings together the connectivity and aerospace industries. It is worth noting that the satellite and aerial networks discussions have been occurring exclusively in the context of remote and rural connectivity. A major concern in this context is the rather questionable business case; there is limited revenue in rural and remote regions. In this talk\, a novel vision will be presented for an integrated terrestrial-aerial-satellite networks architecture as a key enabler for the super smart cities of 2030s and beyond \nSpeaker: Dr. Halim Yanikomeroglu \nBiography: Dr. Halim Yanikomeroglu is a Professor at Carleton University\, Canada. He received his Ph.D. from the University of Toronto in 1998. He contributed to 4G/5G technologies and standards; his research focus in recent years has been on 6G and non-terrestrial networks (NTN). His extensive collaboration with industry resulted in 37 granted patents. He supervised or hosted in his lab around 140 postgraduate researchers. He co-authored IEEE papers with faculty members in 80+ universities in 25 countries. He is a Fellow of IEEE\, Engineering Institute of Canada\, and Canadian Academy of Engineering\, and an IEEE Distinguished Speaker for Communications Society (ComSoc) and Vehicular Technology Society (VTS). He is currently chairing the IEEE WCNC (Wireless Communications and Networking Conference) Steering Committee; he is also a member of PIMRC Steering Committee and ComSoc Emerging Technologies Committee. He served as the General Chair of two VTCs and Technical Program Chair/Co-Chair of three WCNCs. He chaired ComSoc Technical Committee on Personal Communications. He received several awards for his research\, teaching\, and service including IEEE ComSoc Fred W. Ellersick Prize (2021)\, IEEE VTS Stuart Meyer Memorial Award (2020)\, and IEEE ComSoc Wireless Communications Technical Committee Recognition Award (2018).
URL:https://www.ieeetoronto.ca/event/integrated-terrestrial-aerial-satellite-networks-key-enabler-for-the-super-smart-cities-of-the-future/
LOCATION:Virtual – Zoom
CATEGORIES:Communications
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210531T000000
DTEND;TZID=America/Toronto:20210531T235500
DTSTAMP:20260422T174710
CREATED:20210520T162352Z
LAST-MODIFIED:20210809T204824Z
UID:10000415-1622419200-1622505300@www.ieeetoronto.ca
SUMMARY:AI against COVID-19: Screening X-ray Images for COVID-19 Infections
DESCRIPTION:Join the virtual competition on AI for COVID diagnosis\, thanks to Microsoft Canada\, the exclusive technology and cloud platform sponsor! \n\n\n\nThe coronavirus disease 2019 (COVID-19) pandemic\, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus\, has generated an unprecedented global health crisis\, with more than 2.7 million deaths worldwide. Do you want to contribute to the fight against this pandemic? \nIEEE SIGHT (Special Interest Group on Humanitarian Technology) of Montreal Section\, Vision and Image Processing Research Group of the University of Waterloo and DarwinAI Corp. invite data scientists\, students and professionals working on Artificial Intelligence (AI) to participate in a virtual competition to help medical researchers diagnose COVID-19 with chest X-ray (CXR) images. The ultimate goal is to contribute to the development of highly accurate yet practical AI solutions for detecting COVID-19 cases and\, hopefully\, accelerating the treatment of those who need it the most. Moreover\, this AI for Good initiative will also allow us to take action on at least one of the United Nations Sustainable Development Goals (SDGs)\, Good Health and Well-being. \nIn the First Phase of the competition\, the challenge consists of designing robust machine learning algorithms to predict if the subjects of study are either COVID-19 positive or COVID-19 negative. The dataset for this competition is the dataset curated by COVID-Net\, a global open-source initiative launched by DarwinAI Corp.\, Canada\, and Vision and Image Processing Research Group\, University of Waterloo\, Canada\, for accelerating advancements in machine learning to aid healthcare workers around the world in the fight against the COVID-19 pandemic. More about the COVID-Net initiative and available open-source resources are available here. In the Second Phase\, the 10 top teams of the first phase will have the opportunity to refine their solution and submit a proposal for a follow-up project to positively impact society or the academic community. \nThis competition is organized in collaboration with the National Research Council Canada and is co-hosted by the IEEE Young Professionals Affinity Groups of Montreal\, Ottawa\, Toronto and Vancouver Sections\, Vancouver Circuit and Systems (CAS) Technical Chapter\, the Student Branches of INRS (Institut National de la Recherche Scientifique)\, University of Toronto and Vancouver Simon Fraser University\, WIE (Women In Engineering) Ottawa. It is largely sponsored by Microsoft\, and partially by the IEEE Canada Humanitarian Initiatives Committee and the IEEE Montreal Section. \nHow to participate \nNote: This competition only accepts participants living in Canada\, due to restrictions on funds transfer. \nNO PURCHASE NECESSARY TO ENTER OR WIN. \nThe competition is hosted on the Eval.ai online platform. To participate\, you or your team will need to perform the following steps: \n\nRegister individually at the link provided below in the current webpage (vTools).\nRegister yourself or your team at the link on Eval.ai: https://eval.ai/web/challenges/challenge-page/925/participate. Follow the instructions here: https://evalai.readthedocs.io/en/latest/participate.html#.\nDownload the dataset from https://www.kaggle.com/andyczhao/covidx-cxr2.\nDesign an AI algorithm that gets CXR images as inputs and predicts the labels of the images in the output (COVID or non-COVID).\nTrain your AI algorithm using the training dataset.\nSubmit your AI algorithm through Eval.ai for evaluation against the test dataset for the competition.\n\nPrizes \nFor the First Phase\, the first five best solutions will be awarded monetary prizes and Azure credits: \n\nFirst place: 1\,000 CAD + 500 CAD in Azure.\nSecond place: 800 CAD + 300 CAD in Azure.\nThird place: 600 CAD + 300 CAD in Azure.\nFourth place: 400 CAD + 300 CAD in Azure.\nFifth place: 300 CAD + 300 CAD in Azure.\n\nThe top 10 teams on the leaderboard will also have the following opportunities: \n\nParticipate in the 2nd phase to refine their solution and receive funding for a project.\nWrite a scientific paper with the Vision and Image Processing Research Group\, from the University of Waterloo\, to explain their approach.\n\nFor the Second Phase\, the best three projects can receive funds up to the following amounts: \n\nProject 1: 5\,000 CAD.\nProject 2: 5\,000 CAD.\nProject 3: 4\,000 CAD.\n\nTerm of funding: Up to 4 months following the announcement of the selected teams. The deadline is December 31st\, 2021. \n\nFor more information\, visit IEEE SIGHT Montreal website. \n 
URL:https://www.ieeetoronto.ca/event/ai-against-covid-19-screening-x-ray-images-for-covid-19-infections/
LOCATION:Virtual
CATEGORIES:SIGHT,Young Professionals
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210601T130000
DTEND;TZID=America/Toronto:20210601T140000
DTSTAMP:20260422T174710
CREATED:20210601T191120Z
LAST-MODIFIED:20210809T204834Z
UID:10000421-1622552400-1622556000@www.ieeetoronto.ca
SUMMARY:Ubiquitous Machines Learning for Design and Implementation of Energy-Efficient Electrical Systems: A Wide Range of Uses and Applications
DESCRIPTION:IEEE Industry Relations Committee (on behalf of IEEE Canada) would like to invite you to attend the Webinar “Ubiquitous Machines Learning for Design and Implementation of Energy-Efficient Electrical Systems: A Wide Range of Uses and Applications” \nThe objective of this webinar is to discuss how Artificial Intelligence (AI) can play a significant role in several applications in electrical engineering. The webinar intends to provide an update/overview of the recent trends and advances of AI research and to open a dialog on how to address the challenges faced in the design of energy-efficient electrical systems. Several pathways to innovate through electronic systems design will be discussed through a series of ongoing projects. \nSpeakers: \nProf. Yvon Savaria \nYvon Savaria FIEEE (S’ 77\, M’ 86\, SM’ 97\, F’08) received the B.Ing. and M.Sc.A in electrical engineering from Polytechnique Montreal in 1980 and 1982 respectively. He also received the Ph.D. in electrical engineering in 1985 from McGill University. Since 1985\, he has been with Polytechnique Montreal\, where he is currently professor in the department of electrical engineering. He is also affiliated with Hangzhou Innovation Institute of Beihang University. He has carried work in several areas related to microelectronic circuits and microsystems such as testing\, verification\, validation\, clocking methods\, defect and fault tolerance\, effects of radiation on electronics\, high-speed interconnects and circuit design techniques\, CAD methods\, reconfigurable computing and applications of microelectronics to telecommunications\, networking\, aerospace\, image processing\, video processing\, radar signal processing\, and digital signal processing acceleration. He is currently involved in several projects that relate to aircraft embedded systems\, asynchronous circuits design and test\, virtual networks\, software defined networks\, machine learning\, computational efficiency and application specific architecture design. He holds 16 patents\, has published 180 journal papers and 470 conference papers\, and he was the thesis advisor of 175 graduate students who completed their studies. \nDr. Ahmed Ragab \nAhmed Ragab is an AI research scientist working for CanmetENERGY\, an energy innovation center of Natural Resources Canada (NRCan). He received a Ph.D. degree in Industrial Engineering from Polytechnique Montréal in 2014. His research interests include AI\, Image Processing\, Data Fusion\, Causality Analysis\, Operations Research\, Discrete Event Systems\, and Process Mining. He has a bunch of experience in developing advanced algorithms and tools in the manufacturing industry\, aiming at reducing energy consumption\, Greenhouse gas (GHG) emissions\, and operational and maintenance costs while improving operations’ performance. His main thematic activities focus on the practical challenges of Big Data and AI in a number of applications including Abnormal Events Diagnosis & Prognosis\, Predictive Maintenance\, Supervisory Control\, Real-Time Optimization and Systems Design.
URL:https://www.ieeetoronto.ca/event/ubiquitous-machines-learning-for-design-and-implementation-of-energy-efficient-electrical-systems-a-wide-range-of-uses-and-applications/
LOCATION:Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210604T160000
DTEND;TZID=America/Toronto:20210604T170000
DTSTAMP:20260422T174710
CREATED:20210520T163231Z
LAST-MODIFIED:20210809T205042Z
UID:10000416-1622822400-1622826000@www.ieeetoronto.ca
SUMMARY:[AP-S Seminar Series] Low Profile Antennas for Chip-to-Chip Data Communications: A Research Story\, Prof. Kathleen Melde
DESCRIPTION:Abstract: In this talk\, we present our recent research involving the development of low profile antennas that are used to replace wired interconnects in multi-chip modules in electronic packaging. This presentation will discuss the evolution of chip-compatible pattern adaptable mm-wave antenna modules to be used in massively multicore computers. The result is an enabling technology that overcomes technology bottlenecks that are prevalent when wired lines are used in interconnect busses. While device technologies have scaled\, the interconnection layers have not. The limits are in the pitch of the input and output (I/O) for chip-to-chip communications and losses due to physical transmission lines. This is a unique type of pattern adaptable antenna array in that the antenna patterns are in the same plane as the antenna elements. This is quite a departure from many other types of reconfigurable antennas where the patterns are broadside (90 degree angle) to the antennas. The approach is new in that it leverages mm-wave technology (60GHz) so that the antenna size is small. 60GHz allows the work to leverage the already-developed transceiver work done for WPAN technologies. 60GHz also has a natural attenuation at large transmission distances\, which means sufficient isolation and elimination of interference outside of the MCMC system. The research impacts antenna technology\, packaging technology (circuit stacking and advanced packaging)\, and wireless systems testing on an experimental testbed. The talk will focus on the story behind how the technology progresses and how the research unfolded along the way. \nContact: UofT AP-S Student Chapter
URL:https://www.ieeetoronto.ca/event/ap-s-seminar-series-low-profile-antennas-for-chip-to-chip-data-communications-a-research-story-prof-kathleen-melde/
LOCATION:Virtual – Zoom
CATEGORIES:Electromagnetics & Radiation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210607T180000
DTEND;TZID=America/Toronto:20210607T190000
DTSTAMP:20260422T174710
CREATED:20210601T191549Z
LAST-MODIFIED:20210809T205028Z
UID:10000422-1623088800-1623092400@www.ieeetoronto.ca
SUMMARY:Basic OrCad Workshop
DESCRIPTION:IEEE Seneca is offering a basic OrCad Workshop.\nWe will be reinforcing ETY155 concepts and learn about following topics: \n– Simple resistor circuits\n– Voltage divider\n– Current divider concepts\n– Parallel circuits vs series circuits \nTo amplify the experience\, please have OrCad installed or use virual commons by Seneca to follow through the instruction. \nContact: IEEE Seneca \nSpeakers: Gabriel Chen\, Adi Malihi
URL:https://www.ieeetoronto.ca/event/basic-orcad-workshop/
LOCATION:Virtual – Zoom
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