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

Toronto, Ontario Canada

The Circuits & Devices Chapter of IEEE Toronto is pleased to invite you to join us for a virtual talk by Distinguished Lecturer Dr. Durga Misra of the New Jersey Institute of Technology. Please see below for schedule and details. Topic: Self-Heating in FinFETs: Characterization, Reliability and Impact on Logic Circuits Abstract: Device scaling for sub-10 nm CMOS technology has introduced bulk/SOI FinFETs This talk will outline the self-heating (SH) in FinFETs and its characterization. Local self-heating can potentially affect device performance and exacerbate the effects of some reliability mechanisms. Three different measurement methodologies for the electrical characterization of FinFET self-heating at wafer-level will be described. Also, the impact of self-heating on reliability testing at DC conditions as well as realistic CMOS logic operating (AC) conditions will be discussed. Front-end-of-line (FEOL) reliability mechanisms, such as hot carrier injection (HCI) and non-uniform time dependent dielectric breakdown (TDDB) will also be outlined. Self-heating is also studied at more realistic device switching conditions in logic circuits by utilizing ring oscillators with several densities and stage counts. The measurements indicate that self-heating is considerably lower in logic circuits compared to constant voltage stress conditions and degradation is not distinguishable. Speaker: Prof. Durga Misra, Department of Electrical and Computer Engineering, New Jersey Institute of Technology Biography: Prof. Durga Misra is a Professor in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, USA. His current research interests are in the areas of nanoelectronic/optoelectronic devices and circuits; especially in the area of nanometer CMOS gate stacks and device reliability. He is a Fellow of IEEE and is currently a Distinguished Lecturer of IEEE Electron Devices Society (EDS) and served in the IEEE EDS Board of Governors. He is a Fellow of the Electrochemical Society (ECS). He received the Thomas Collinan Award from the Dielectric Science & Technology Division of ECS. He is also the winner of the Electronic and Photonic Division Award from ECS. He edited and co-edited more than 45 books and conference proceedings in his field of research. He has published more than 200 technical articles in peer reviewed Journals and in International Conference proceedings including 95 Invited Talks. He has graduated 19 PhD students and 40 MS students. He received the M.S. and Ph.D. degrees in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1985 and 1988, respectively.

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

Toronto, Ontario Canada

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

CAS Distinguished Lecture – Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine

Toronto, Ontario Canada

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

Glide symmetries: a new degree of freedom for the design of periodic structures

Toronto, Ontario Canada

On Monday, February 8, 2021 at 11:00 a.m., IEEE Antennas and Propagation Society is hosting “Glide Symmetries: A New Degree of Freedom for the Design of Periodic Structures”. Day & Time: Monday, February 8, 2021 11:00 a.m. – 12:30 p.m. Speaker: Oscar Quevedo-Teruel of KTH Royal Institute of Technology Organizer(s): IEEE Antennas and Propagation Society Location: Virtual – Zoom Contact: George Eleftheriades Abstract: Glide symmetries were employed for electromagnetic purposes during the 60s and 70s. Those works were focused on one-dimensional structures with potential application in low-dispersive leaky wave antennas. However, the development of planar/printed technologies in the 80s and 90s associated to their low-cost for low-frequency applications, the studies of glide symmetries stopped. In the beginning of the 21st century, with arrival of metamaterials, there was a significant development of the understanding of periodic structures, and new methods of analysis were introduced. This theoretical development, together with the interest of industry in mm-waves, particularly for communications systems such as 5G, created an opportunity to explore the possibilities of glide symmetries, especially in two-dimensional configurations. Glide-symmetric structures has recently attracted the attention of researchers due to their attractive properties for practical applications. Among their interesting properties are low-dispersive responses in fully metallic structures such as parallel plate or co-planar waveguides (CPW), bandgaps associated to the symmetries and large electromagnetic bandgaps (EBGs). In this talk, Dr. Quevedo-Teruel will describe the most significant works in glide symmetries, including their application for the design of gap-waveguide technology and planar lens antennas with steerable angles of radiation. Register: Please visit https://events.vtools.ieee.org/m/256420 to register. Biography: Oscar Quevedo-Teruel is a Senior Member of the IEEE. He received his Telecommunication Engineering Degree from Carlos III University of Madrid, Spain in 2005, part of which was done at Chalmers University of Technology in Gothenburg, Sweden. He obtained his Ph.D. from Carlos III University of Madrid in 2010 and was then invited as a postdoctoral researcher to the University of Delft (The Netherlands). From 2010-2011, Dr. Quevedo-Teruel joined the Department of Theoretical Physics of Condensed Matter at Universidad Autonoma de Madrid as a research fellow and went on to continue his postdoctoral research at Queen Mary University of London from 2011-2013. In 2014, he joined the Division for Electromagnetic Engineering in the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden where he is an Associate Professor and Director of the Master Programme in Electromagnetics Fusion and Space Engineering. He has been an Associate Editor of the IEEE Transactions on Antennas and Propagation since 2018 and is the founder and editor-in-chief of the EurAAP journal Reviews of Electromagnetics. He was the EurAAP delegate for Sweden, Norway, and Iceland from 2018-2020 and he is now a member of the EurAAP Board of Directors. He is a distinguished lecturer of the IEEE Antennas and Propagation Society for the period of 2019-2022, and Chair of the IEEE APS Educational Initiatives Programme since 2020. He has made scientific contributions to higher symmetries, transformation optics, lens antennas, metasurfaces, leaky wave antennas, and high impedance surfaces. He is the co-author of 95 journal papers and 150 at international conferences.

Nelson J. G. Fonseca, Dec. 08, 12 pm

Toronto, Ontario Canada

The U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) (https://edu.ieee.org/ca-uotaps/) invites you to the following talk of our 2020-2021 seminar series: “Quasi-Optical Antennas for Space Applications”, presented by the European Space Agency antenna engineer, Nelson J. G. Fonseca, on Tuesday, Dec. 08, 12 PM ET. Day & Time: Tuesday, December 8, 2020 12:00 p.m. – 1:00 p.m. Speaker: Nelson J. G. Fonseca Organizer: U of T Student Chapter of the IEEE Antennas and Propagation Society (AP-S) Location: Online (link will be provided to registrants) Contact: Parinaz Naseri Abstract: This presentation provides an overview of recent multiple beam lens antenna developments supported by the European Space Agency, for applications ranging from satcom payloads, to imaging systems and microwave instruments. There are also on-going transfer of technology activities for 5G terrestrial communication systems. The presentation will cover related developments on polarizers, providing polarization conversion as well as polarization selectivity for advanced antenna systems. Register: Please visit https://events.vtools.ieee.org/m/250057 to register. Biography: Nelson J. G. Fonseca (Senior Member, IEEE) received the M.Eng. degree from Ecole Nationale Supérieure d’Electrotechnique, Electronique, Informatique, Hydraulique et Telecommunications (ENSEEIHT), Toulouse, France, in 2003, the M.Sc. degree from the Ecole Polytechnique de Montreal, Quebec, Canada, also in 2003, and the Ph.D. degree from Institut National Polytechnique de Toulouse – Université de Toulouse, France, in 2010, all in electrical engineering. Since 2009, he works in the Antenna and Sub-Millimetre Waves Section, European Space Agency (ESA), Noordwijk, The Netherlands. His current research interests include multiple beam antennas for space missions, beamformer theory and design, ground terminal antennas and novel manufacturing techniques. He has authored or co-authored more than 200 papers in peer-reviewed journals and conferences. He contributed to 25 technical innovations, protected by over 40 patents issued or pending.

An Introduction to Django Web Development with Python

Toronto, Ontario Canada

On Wednesday, August 19, 2020 at 10:00 a.m., Suho Kang will present “An Introduction to Django Web Development with Python”. Day & Time: Wednesday, August 19, 2020 10:00 a.m. – 11:00 a.m. Speaker: Suho Kang Organizer: IEEE Toronto WIE, Magnetics Chapter Location: Virtual – Zoom Contact: Seyed M. Reza Dibaj, Maryam Davoudpour Abstract: Django is a Python Web framework that encourages rapid development and clean design. So many functionalities are already built in this framework by experienced developers, so you do not have to re-invent the wheel, and Django will take care of those hassles for you. In our event, we will be building a basic Django Web Application from scratch in a hands-on approach. At the end of this course, you will be familiar with how to make a virtual environment, Django installation process, an HTTP request handling, and a CSS file and image file importing steps. (Requirements: The requirements are knowing the basic python, HTML, and CSS, and the recommended platform consists of anaconda (preferred), Python3, and the installed git bash on your system.) It is highly recommended to participate in Getting Started with Python and Applied Data Science with pandas, before attending this event. Register: Please visit https://events.vtools.ieee.org/m/237004 for more information and to register.

Applied Data Science with pandas

Toronto, Ontario Canada

On Tuesday, August 18, 2020 at 10:00 a.m., Rafael Afonso Silva will present “Applied Data Science with pandas”. Date & Time: Tuesday, August 18, 2020 10:00 a.m. – 11:00 a.m. Speaker: Rafael Afonso Silva Organizer: IEEE Toronto WIE, Magnetics Chapter Location: Virtual – Zoom Contact: Seyed M. Reza Dibaj, Maryam Davoudpour Abstract: Pandas is a fast, powerful, flexible and easy to use environment on top of the Python programming language. It is an open-source data analysis and manipulation tool, which has made our life easier in the Data Science world. If you work or intend to work with data using Python, you need to know pandas, either for Data Analysis, Data Science or Machine Learning. In our workshop, we will provide a hands-on introduction to the pandas library and will learn how to use its amazing features to extract, analyze and manipulate our data from different data sources. (Prerequisite: You need to have basic programming knowledge in Python) Register: Please visit https://events.vtools.ieee.org/m/237002 for more information and to register.

Measurement, Control and Protection in Smart Grid Energy Management Systems for Smart Buildings in a Smart City

Toronto, Ontario Canada

Webinar by the IEEE Ottawa Section, Instrumentation & Measurement Society Chapter (IMS), Power and Energy Society Ottawa Chapter (PES), Reliability Society and Power Electronics Society Joint Chapter (RS/PELS), Communications Society, Consumer Electronics Society, and Broadcast Technology Society Joint Chapter (ComSoc/ CESoc/BTS), and IEEE Ottawa Educational Activities (EA). Day & Time: Thursday, July 30, 2020 6:30 p.m. ‐ 7:30 p.m. Speaker: Prof. Saifur Rahman Organizers: IEEE Ottawa Section, Instrumentation & Measurement Society Chapter, Power and Energy Society Chapter, Reliability Society and Power Electronics Society, Broadcast Technology Society Join Chapter, IEEE Ottawa Educational Activities, IEEE Toronto WIE Location: Virtual – Zoom Contact: Ayda Naserialiabadi Abstract: Smart grid is a modern electric system with its architecture, communications, sensors, measurements, automation, computing hardware and software for improvement of the efficiency, reliability, flexibility and security. In particular, the smart grid, when fully deployed, will facilitate the (i) increased use of digital information and measurement, control & protection technologies, (ii) deployment and grid-integration of distributed energy resources (DERs), (iii) operation of demand response and energy efficiency programs, and (iv) integration of consumer-owned smart devices and technologies. Different non-linear controls, such as back-stepping control, feedback linearization, model predictive control, and sliding mode control are applied to control DERs, and their grid integration. Another control technique gaining application in the smart grid space is based on multi-agent systems (MAS) which provide autonomy, reactivity and proactivity. As speedy communication facilities, such as fiber-optics, microwave, GSM/GPRS, 4G/5G are becoming the integral parts of the functioning smart grid, the integration of MAS in smart grid applications is becoming simple and feasible. This lecture focuses on the measurement & control issues of the smart grid and how MAS can provide an efficient tool to address such issues. In addition, an overview of the related challenges and opportunities for energy efficient building operation and management with deployment experience in the US will be provided. Register: https://events.vtools.ieee.org/m/236481 Biography: Prof. Saifur Rahman is the founding director of the Advanced Research Institute (www.ari.vt.edu) at Virginia Tech, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment (www.ceage.vt.edu). He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006, he served on the IEEE Board of Directors as the Vice President for Publications. He is a distinguished lecturer for the IEEE Power & Energy Society (PES) and has lectured on renewable energy, energy efficiency, smart grid, electric power system operation and planning, etc. in over 30 countries. He was IEEE Power and Energy Society President 2018-2019 and is now a candidate for IEEE President-Elect 2021. He chaired the US National Science Foundation Advisory Committee for International Science and Engineering, 2010-2013. He conducted several energy efficiency projects for Duke Energy, Tokyo Electric Power Company, US National Science Foundation, US Department of Defense, State of Virginia and US Department of Energy.