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DTSTART;TZID=America/Toronto:20210304T140000
DTEND;TZID=America/Toronto:20210304T150000
DTSTAMP:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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:20260427T052315
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
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DTSTART;TZID=America/Toronto:20210331T193000
DTEND;TZID=America/Toronto:20210331T210000
DTSTAMP:20260427T052315
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
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