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  • Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G

    On Wednesday, September 30, 2020 at 9:00 a.m., Shu Fu of Chongqing University, China will present “Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network (TSN) Towards 6G”. Day & Time: Wednesday, September 20, 2020 9:00 a.m. – 10:00 a.m. Speaker: Shu Fu of Chongqing University, China Organizer: IEEE Toronto Vehicular Technology Chapter Location: Virtual – Zoom Contact: Lian Zhao Abstract: Terrestrial-Satellite Network (TSN) is critical for achieving the integrated ground-air-space in 6G by its employment of flight equipments to increase space resource diversity. The employment of flight equipments and the equipped caching, computing, and communication (3C) resources lead to the problem of multi-resource co-allocation while challenging the objective of low delay, large throughput, and high energy efficiency. We focus on solving this problem in terms of the following aspects: firstly, we will build a Nash bargaining model to implement the 3C resource allocation to maximize the user fairness guaranteed throughput. Secondly, we will discuss about the optimization of the satellite-terrestrial allocation of the unmanned aerial vehicle (UAV) based relays. Moreover, for the weak coverage areas of the ground gateways, we will discuss the mobile co-allocation of multi-resource model for UAV-BS. Finally, we will consider the heterogeneous traffic data characteristics to build co-allocation of multi-resource models, based on which the low delay constrained inter-satellite relaying and routing mechanism and satellite-terrestrial store-and-forward mechanism with high energy efficiency will be achieved. Register: Please visit https://events.vtools.ieee.org/m/240949 for the Zoom link. Biography: Shu Fu received the Ph.D. degree in communication and information system from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016. He joined the College of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China, as an Assistant Professor in 2016, and has been an Associate Professor since 2018. He had been awarded twice “National Scholarship” during his PhD’s study. He was a visiting PhD student at University of Waterloo in 2014-2015; and a visiting professor at Ryerson University, Canada in 2019. He is a communication committee member of Chinese Institute of Electronics (CIE) Internet of Things Youth Specialist Group. He has published more than 30 IEEE journal papers and conference papers. His research interests include B5G network, UAV network, and terrestrial-satellite network, etc.

  • IEEE Day

    IEEE Toronto Section is inviting you to our VIRTUAL celebration of IEEE Day on Tuesday, October 6, 2020! Day & Time: Tuesday, October 6, 2020 10:00 a.m. – 3:00 p.m. Speakers: Dr. Rasheed Hussain, Dr. Melike Erol-Kantarci, Dr. Sahar Rahmani, Dr. Sarath Chandar, Dr. Haniyeh Yousefpour Organizers: IEEE Toronto Section, IEEE Toronto WIE Location: Virtual – Zoom Contact: Dustin Dunwell, Maryam Davoudpour Register: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register. Agenda: 10:00 a.m. – 11:00 a.m. Panel Moderator: Dr. Fatima Hussain Dr. Melike Erol-Kantarci Dr. Sahar Rahmani 11:00 a.m. – 12:00 p.m. Keynote Dr. Rasheed Hussain 12:00 p.m. – 1:00 p.m. Break 1:00 p.m. – 2:00 p.m. Tech Talk Dr. Sarath Chandat, MILA 2:00 p.m. – 3:00 p.m. Tech Talk Dr. Haniyeh Yousefpour   Biographies: Rasheed Hussain, PhD, SMIEEE Topic: The Role of APIs in Connected and Autonomous Cars: A Case for Critical Applications Rasheed Hussain is working as an Associate Professor and the Director of Institute of Information Security and Cyber-Physical Systems at Innopolis University, Innopolis, Russia. He is also the head of Networks and Blockchain Lab at Innopolis University and serves as an ACM Distinguished Speaker. He is a senior member of IEEE, member ACM, and serves as an editorial board member for various journals including IEEE Access, IEEE Internet Initiative, Internet Technology Letters, Wiley, Cluster Computing, Springer, and serves as a reviewer for most of the IEEE transactions, Springer and Elsevier Journals. He also serves as technical program committee member and chair of various conferences such as IEEE VTC, IEEE VNC, IEEE Globecom, IEEE ICCVE, IEEE ICC, ICCCN, and so on. He is a certified trainer for Instructional Skills Workshop (ISW) and a recipient of Netherland’s University Teaching Qualification (Basis Kwalificatie Onderwijs, BKO). His research interests include Information Security and Privacy and particularly security and privacy issues in Vehicular Ad Hoc NETworks (VANETs), vehicular clouds, and vehicular social networking, applied cryptography, Internet of Things, Content-Centric Networking (CCN), cloud computing, API security, and blockchain. Currently he is working on the machine and deep learning for IoT security and API security. Melike Erol-Kantarci, PhD., P.Eng., SMIEEE Topic: AI-enabled wireless networks: Opportunities and Challenges Towards 6G Melike Erol-Kantarci is Tier 2 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 has over 140 peer-reviewed publications which have been cited over 5000 times and she has an h-index of 37. She is selected to the 2019 list of “N2Women: Stars in Computer Networking and Communications”. She has received the IEEE Communication Society Best Tutorial Paper Award and the Best Editor Award of the IEEE Multimedia Communications Technical Committee in 2017, in addition to several other best paper awards. She is the co-editor of three books on smart grids and smart cities. She has delivered 40+ tutorials, plenary talks and seminars around the globe. She has acted as the general chair or technical program chair for many international IEEE conferences and workshops. Most recently, she is the TPC co-chair for IEEE CAMAD 2020, a symposium co-chair for IEEE Globecom 2020, and a track co-chair for IEEE SmartGridComm 2020. She is a senior member of the IEEE. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid, electric vehicles, Internet of things and wireless sensor networks. Sahar Rahmani, PhD Work Domain: Data scientist on digital/cyber crime detection Dr. Sahar Rahmani is the Director of the Data Science team at the Global Cyber Security team at RBC. Her role involves leading a team of data scientists and machine learning engineers to provide AI solutions for detecting the ever-changing landscape of cyber/digital crime. She is responsible for implementing scalable real-time machine learning solutions for our stakeholders’ security related problems. Her team, also brings insight and analytics to RBC’s controls, and risks to help executives make data-driven strategic decisions. Her continuous encouragement and emphasizing on innovations in the application of AI/ML in digital risk, resulted in solving business problems in effective ways, creating multiple patents, and presenting multiple conference talks. She has a PhD in Astrophysics from the Western University, where she applied big data analysis and data science models on astronomical data.

  • PES Webinar: Developing the Utility Workforce of the Future – Managing Continuity and Change in Complex Times

    On Tuesday, October 6, 2020 at 5:00 p.m., Brad Cawn of Quanta Technology will present “PES Webinar: Developing the Utility Workforce of the Future – Managing Continuity and Change in Complex Times”. Day & Time: Tuesday, October 6, 2020 5:00 p.m. – 6:00 p.m. Speaker: Brad Cawn of Quanta Technology Organizer: IEEE Toronto PES Chapter Location: Virtual Contact: Omid Alizadeh Abstract: Building the utility of the future requires developing a workforce of the future, one that is responsive and agile in the face of continuous technological, operational, and cultural change. Join us as we discuss how both the coronavirus and ongoing paradigmatic shifts are quickening the industry’s transformation process and how a multi-prong workforce development strategy can help your team and/organization keep pace with the speed of change. In this webinar, Brad Cawn, a Senior Advisor with Quanta Technology, will make a presentation on: the current state of the utility industry technical workforce, including the impact of recent and ongoing internal and external change factors. potential directions for the industry’s workforce and workforce development initial key activities and comprehensive actions to develop and sustain utility workforces of the future Register: Please visit https://events.vtools.ieee.org/m/240561 to register. Biography: Brad Cawn of Quanta Technology Oversees Quanta Technology’s workforce development services, including training and curriculum development, workforce transformation, retention and recruitment initiatives, and other supports. Author of multiple books/manuscripts on teaching and learning, including Ambitious Instruction (2020) and Ambitious Leadership (2016). Teaches creativity and innovation coursework at DePaul University in Chicago.

  • Career Night Series: Writing an Effective CV

    On Tuesday, October 6, 2020 at 6:00 p.m., IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing an Effective CV”. Day & Time: Tuesday, October 6, 2020 6:00 p.m. – 8:00 p.m. Organizers: IEEE Toronto WIE, IM/RA, Ryerson Computer Science Location: Virtual Contact: Wincy Li Description: Not sure what the difference is between a resume and a CV? Unclear about how to structure your CV or what content to include? Join us for this webinar to learn how to construct an effective CV! If you require any accessibility needs, please contact Camara Chambers at c.chambers@ryerson.ca. Register: Please visit https://lnkd.in/gBaMf9y to register.

  • GPT-3 for Vision

    On Wednesday, October 7, 2020 at 2:00 p.m., Dr. Ehsan Kamalinejad will present “GPT-3 for Vision”. Day & Time: Wednesday, October 7, 2020 2:00 p.m. – 3:00 p.m. Speaker: Ehsan Kamalinejad, PhD Co-Founder & CTO at Visual One Associate Professor at Cal State East Bay University Former Senior Machine Learning Scientist at Apple San Francisco, USA Organizer: IEEE Toronto Signal Processing Chapter Location: Virtual – Click here for the Google Meets link. Contact: Mehrnaz Shokrollahi Abstract: Deep learning in computer vision (CV) has proved to be very effective in solving many problems in real world. However, while the raw number of researches done in standard CV problems (such as ImageNet object classification/detection) has exploded, the measurable progress in these fields has slowed down. Additionally, there are many real-world problems in vision that are simply not compatible with the current approaches. This demands a new wave of problem statements in CV (and a new set of benchmarks). This talk focuses on one important set of such problem statements. We propose that many real-world problems in vision are “event recognition” problems. We introduce a concrete definition for the event recognition problem. We will see that this definition of event detection prohibits large sample sets. Hence, these events need to be recognize based on very few samples. We start by reviewing the current literature and we propose some promising directions for approaching this problem. At the end we show some demos from our recent effort on wrestling with this very challenging problem. Our solution can be best described by the “vision counterpart of GPT-3 few shot learner”. Register: Please check back soon for the registration link. Biography: Ehsan Kamalinejad (EK) is a senior machine learning engineer. He is currently working on Visual One which is a YCombinator backed startup he co-founded. Before that he was working for several years at Apple and Amazon as a staff machine learning engineer. Ehsan holds a faculty position as an associate professor at Cal State East Bay University. He got his PhD from University of Toronto. He has more than 7 years of experience delivering machine learning products in computer vision and natural language processing. His current project, Visual One, is about bringing next level intelligence to surveillance cameras.

  • Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell

    On Wednesday, October 7, 2020 at 4:00 p.m., Prof. James Hwang of Cornell University will present “Microwaving a Biological Cell Alive ‒ Broadband Label-free Noninvasive Electrical Characterization of a Live Cell”. Day & Time: Wednesday, October 7, 2020 4:00 p.m. – 5:00 p.m. Speaker: Prof. James Hwang of Cornell University Organizer: IEEE Toronto Electromagnetics & Radiation Chapter Location: Virtual – Zoom Contact: George Eleftheriades Abstract: Microwave is not just for cooking, smart cars, or mobile phones. We can take advantage of the wide electromagnetic spectrum to do wonderful things that are more vital to our lives. For example, microwave ablation of cancer tumor is already in wide use, and microwave remote monitoring of vital signs is becoming more important as the population ages. This talk will focus on a biomedical use of microwave at the single-cell level. At low power, microwave can readily penetrate a cell membrane to interrogate what is inside a cell, without cooking it or otherwise hurting it. It is currently the fastest, most compact, and least costly way to tell whether a cell is alive or dead. On the other hand, at higher power but lower frequency, the electromagnetic signal can interact strongly with the cell membrane to drill temporary holes of nanometer size. The nanopores allow drugs to diffuse into the cell and, based on the reaction of the cell, individualized medicine can be developed and drug development can be sped up in general. Conversely, the nanopores allow strands of DNA molecules to be pulled out of the cell without killing it, which can speed up genetic engineering. Lastly, by changing both the power and frequency of the signal, we can have either positive or negative dielectrophoresis effects, which we have used to coerce a live cell to the examination table of Dr. Microwave, then usher it out after examination. These interesting uses of microwave and the resulted fundamental knowledge about biological cells will be explored in the talk. Register: Please visit https://events.vtools.ieee.org/m/239462 to register. Biography: James Hwang is Professor in the Department of Materials Science and Engineering at Cornell University. He graduated from the same department with a Ph.D. degree. After years of industrial experience at IBM, Bell Labs, GE, and GAIN, he spent most of his academic career at Lehigh University. He cofounded GAIN and QED; the latter became the public company IQE. Between 2011 and 2013, he was the Program Officer for GHz-THz Electronics at the U.S. Air Force Office of Scientific Research. He has been a visiting professor at Cornell University in the US, Marche Polytechnic University in Italy, Nanyang Technological University in Singapore, National Chiao Tung University in Taiwan, Shanghai Jiao Tong University, East China Normal University, and University of Science and Technology in China. He is an IEEE Life Fellow and a Distinguished Microwave Lecturer. He is also a Track Editor for the IEEE Transactions on Microwave Theory and Techniques. He has published more than 350 refereed technical papers and been granted eight U.S. patents. He has researched for decades on the design, modeling and characterization of optical, electronic, and micro- electromechanical devices and circuits. His current research interest focuses on electromagnetic sensors for individual biological cells, scanning microwave microscopy, and two-dimensional atomic-layered materials and devices.

  • Electronic commerce and business, the benefits and opportunities for online users and providers

    On Wednesday, October 28, 2020 at 5:00 p.m., Edmund Baumann will present “Electronic commerce and business, the benefits and opportunities for online users and providers”. Day & Time: Wednesday, October 28, 2020 5:00 p.m. – 6:00 p.m. Speaker: Edmund Baumann Organizer: IEEE Toronto Section Location: Virtual Contact: Satish Saini Abstract: E-commerce is very much top of mind in our current environment as organizations have put great effort in providing products and services with substantial online supply chains. This market is driven by customers who desire a minimum of physical contact between suppliers and themselves. The presentation will cover the foundations of e-commerce from the technology and business points of view. The market impact of e-commerce continues to grow and the business creativity of entrepreneurs continues to deliver products and services that the market demands after their value proposition is understood by buyers. Current business statistics are provided. Examples of successful online business are highlighted. Register: Please visit https://events.vtools.ieee.org/m/240871 to register. Biography: Edmund Baumann (SMIEEE) holds a B.ScEE (1969) from Drexel University and an MBA (1984) from York University. He has 44 years of experience with various companies such as Rockwell, Atomic Energy of Canada, Tellabs, Motorola, Sprint, Humber College, University of Guelph-Humber. He teaches degree courses on Current Issues in Digital Business Management, New Product Management, E-Commerce, Digital Marketing, Business Information Systems, Consumer Behaviour, Marketing at Humber College and University of Guelph-Humber.

  • Python Project-based Workshop: How to build your own intelligent agent

    On Friday, November 13, 2020 at 10:00 a.m., Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. Day & Time: Friday, November 13, 2020 10:00 a.m. – 12:00 p.m. Speaker: Enas Tarawneh Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE Location: Virtual Contact: Ayda Naserialiabadi Abstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: a) Programming speech recognition. b) Leveraging cloud-based resources such as speech-to-text, text-to-speech and AI querying to generate responses. c) Connect these together to create a turn taking intelligent agent. d) Customizing the voice used in these generated responses. Register: Please click here to register. Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

  • IEEE Toronto Virtual AGM 2020

    Toronto, Canada

    The IEEE Toronto Section is happy to announce our first ever online IEEE Toronto section Annual General Meeting (AGM).  Since we are not restricted to a limited number of physical participants, we are happy to open this even up to all IEEE Toronto members, as well as any guests who they would like to invite.  Please feel free to pass this information along to any interested parties. We will hear from the IEEE Toronto section, IEEE Canada, and IEEE Global representatives, as well as keynote speakers from local industry.  Awards will be presented to oustanding contributors for the past year, and prizes will be available for all attendees.  You must register for the event using the link on this page in order to qualify for prizes.  Only IEEE members will be eligible for prizes. Date: Friday, November 13, 2020 6:00 p.m. – 8:00 p.m. Location: Virtual – WebEx Register: Please visit https://events.vtools.ieee.org/m/241427 for the registration link and event link. Agenda: 6:00pm: Introduction and online meeting details 6:05pm: Section Chair report from Ali Nabavi 6:15pm: IEEE Global update from Kathy Land 6:30pm: Prize draw 6:35pm: Keynote presentation from Dr. Inmar Givoni, Director of Engineering at Uber Advanced Technology Group, Toronto 7:05pm: IEEE Canada update from Maike Luiken 7:20pm: Keynote presentation from Dr. Martin Snelgrove, CTO at Untether AI 7:50pm: Awards presentation and prize draw Keynote Speakers: Dr. Inmar Givoni, Dr. Martin Snelgrove Topic: AI for Self-Driving Cars (Dr. Inmar Givoni) At the Uber ATG R&D centre, we are working on advanced state-of-the-art models for solving a large range of problems in self driving – perception and prediction, motion planning, mapping and localization, sensor simulation, and more. All that work is publicly available through academic conferences and venues. In this talk I will cover some exciting recent advances and also discuss the path to production – how we go from research prototypes to deployed systems on vehicle. Topic: Building Cool Silicon in the Frozen North (Dr. Matin Snelgrove) Biographies: Dr. Inmar Givoni Inmar Givoni is a Director of Engineering at Uber Advanced Technology Group, Toronto, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She received her PhD (Computer Science) in 2011 from the University of Toronto, specializing in machine learning, and was a visiting scholar at the University of Cambridge. She worked at Microsoft Research, Altera (now Intel), Kobo, and Kindred at roles ranging from research scientist to VP, Big Data, applying machine learning techniques to various problem domains and taking concepts from research to production systems. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning, computer vision, and computational biology. She is a regular speaker at AI events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths. For her volunteering efforts she has received the 2017 Arbor Award from UofT. In 2018 she was recognized as one of Canada’s 50 inspiring women in STEM and recently recognized as one of Canada’s Tech Titans: Top 19 of 2019.. She was featured in Marie Claire, Toronto Life, The Globe and Mail,  TWIML & AI podcast, ReWork’s list of 30 influential women in Canadian AI, UofT’s News, and other media venues. Dr. Martin Snelgrove Martin is CTO of Untether AI, who have just announced their first product: a high-performance AI chip that puts Peta-operations per second onto a board. The magic to getting the massive computing power AI needs is to be very careful with the femtoJoules: you can only fit so many watts in a box, so you have to use them very carefully. It turns out that to do that you have to rethink John von Neumann’s 1947 computer architecture, and it turns out that understanding AI as a workload lets you do that.    Martin was a professor at the University of Toronto, then had a Nortel/Mitel-supported industrial research chair at Carleton. Over 16 years of teaching he saw the vast majority of the students Canada paid for head straight down to California. So he moved over to the dark side, and has been in the founding team for three tech companies in Toronto; Soma, Kapik and now Untether. It turns out that because Canada produces great engineers, you can give them a great place to work by putting teams together. Top-grade talent likes working with top-grade talent.

  • Machine Learning and Digital Signal Processing Applications in Online Video Platforms

    On Friday, November 20, 2020 at 2:30 p.m., Mehrdad Fatourechi will present “Machine Learning and Digital Signal Processing Applications in Online Video Platforms”. Day & Time: Friday, November 20, 2020 2:30 p.m. – 4:00 p.m. Speaker: Mehrdad Fatourechi, PhD Organizer: IEEE Signal Processing Chapter Toronto Section Location: This event will be hosted on google meets Meeting ID meet.google.com/yej-opbp-uxo Phone Numbers (US)+1 617-675-4444 PIN: 974 200 026 6220# Contact: Mehrnaz Shokrollahi Abstract: In the past 15 years, we have seen exponential growth in online video platforms such as YouTube, Instagram, Netflix, TikTok, amongst others. In this talk, we will look at some of the challenges these platforms have been facing and how machine learning and digital signal processing are playing important roles in addressing these challenges. We will focus on discussing 3 areas: 1- Content discovery and SEO optimization 2- Establishing trust and safety, and 3- Protecting the rights of the content owners We will also discuss some of the areas that are currently open for future research. Register: Registration is not required. Biography: Mehrdad is the VP of Engineering of BroadbandTV, a media-tech company that is advancing the world through the creation, distribution, management, and monetization of content. Mehrdad is currently responsible for managing the research and development (R&D) and IT departments. When he joined BBTV in March 2010, he was initially responsible for managing the research team, and then his role later expanded to lead the entire engineering department. Under his leadership, BBTV’s tech team has become one of the leading and most innovative teams in digital video space, building several internal and external products (including VISO Catalyst, VISO Collab, VISO Prism, VISO NOVI, and VISO Mine) as well as filing several patents. Mehrdad has an in-depth knowledge of digital signal processing, machine learning, and pattern recognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC), where he was nominated for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC, as well as consulting with several companies (INETCO, BC Mining Research, and STC enterprises). He was the co-chair of the IEEE Signal Processing Chapter in Vancouver for two years.

  • Security of the Internet of Things (IoT): Are We Paranoid Enough?

    On Thursday, November 26, 2020 at 6:00 p.m., Swarup Bhunia will present “Security of the Internet of Things (IoT): Are We Paranoid Enough?”. Day & Time: Thursday, November 26, 2020 6:00 p.m. – 9:00p.m. Speaker: Swarup Bhunia of U. of Florida NSF SFS Program Organizer: IEEE Toronto Computer Society Location: Virtual – Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. Contact: Younas Abbas Abstract: The session will help IoT enthusiasts understand the challenges of security implementation at the hardware level for modern electronic hardware. Security has become a critical design challenge for modern electronic hardware. With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles, security has come to the forefront of the system-design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. It has prompted system designers to develop a wide array of design-for-security and test/validation solutions to achieve high-security assurance for electronic hardware, which supports the software stack. At the same time, emerging security issues and countermeasures have also led to interesting interplay between security, verification and interoperability. Verification of hardware for security and trust at different levels of abstraction is rapidly becoming an integral part of the system design flow. The global economic trend that promotes outsourcing of design and fabrication process to untrusted facilities coupled with the prevalent practice of system on chip design using untrusted third-party intellectual property blocks (IPs), has given rise to the critical need of trust verification of IPs, system-on-chip design, and fabricated chips. The talk will also cover a spectrum of security challenges for IoTs and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass. Agenda: 6:00 PM: Virtual Registration and welcome remarks by session chair and vice chair 6:20 PM: Technical Session 8:20 PM: Q & A 8:50 PM: Closing Register: Please visit https://events.vtools.ieee.org/m/240161 to register. Biography: Swarup Bhunia received his B.E. (Hons.) from Jadavpur University, Kolkata, India, and the M.Tech. degree from the Indian Institute of Technology (IIT), Kharagpur. He received his Ph.D. from Purdue University, IN, USA, in 2005. Currently, Dr. Bhunia is a preeminence professor and Steven Yatauro Faculty Fellow in the department of Electrical and Computer Engineering at University of Florida, Gainesville, FL, USA. Earlier, Dr. Bhunia has served as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University, Cleveland, OH, USA. He has over twenty years of research and development experience with over 250 publications in peer-reviewed journals and premier conferences and ten edited or authored books (two upcoming) in the area of VLSI design, CAD and test techniques. His research interests include low power and robust design, hardware security and trust, adaptive nanocomputing and novel test methodologies. He has worked in the semiconductor industry on RTL synthesis, verification, and low power design for about three years. Dr. Bhunia received IEEE-CS TCVLSI Distinguished Research Award (2018), IBM Faculty Award (2013), National Science Foundation (NSF) career development award (2011), Semiconductor Research Corporation (SRC) technical excellence award (2005) as a team member, best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES 2017), best paper award in IEEE BioMedical Circuits and Systems Conference (BioCAS 2016), best paper award in International Conference on VLSI Design (VLSI Design 2012), best paper award in International Conference on Computer Design (ICCD 2004), best paper award in Latin American Test Workshop (LATW 2003), and best paper nomination in Asia and South Pacific Design Automation Conference (ASP-DAC 2006) and in Hardware Oriented Test and Security (HOST 2010), nomination for John S. Diekhoff Award, Case Western Reserve University (2010) and SRC Inventor Recognition Award (2009). Dr. Bhunia has been serving as founding editor-in-chief in Journal of Hardware and Systems Security (HaSS), an associate editor of IEEE Transactions on CAD (TCAD), IEEE Transactions on Multi-Scale Computing Systems (TMSCS), ACM Journal of Emerging Technologies (JETC), and Journal of Low Power Electronics (JOLPE). He has served as a guest editor of IEEE Design & Test of Computers (2010, 2013), IEEE Computer Magazine (2016), IEEE Transcation on CAD (2015), and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He has served as co-program chair of IEEE IMS3TW 2011, IEEE NANOARCH 2013, IEEE VDAT 2014, and IEEE HOST 2015, and in the technical program committee of Design Automation Conference (2014-2015), Design Automation and Test in Europe (DATE 2006-2010), Hardware Oriented Trust and Security Symposium (HOST 2008-2010), IEEE/IFIP International Conference on VLSI (VLSI SOC 2008), Test Technology Educational Program (TTEP 2006-2008), International Symposium on Low Power Electronics and Design (ISLPED 2007-2008), IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH 2007-2010), IEEE International Conference on VLSI (ISVLSI 2008-2010), International Conference of VLSI Design as a track chair (2010) and in the program committee of International Online Test Symposium (IOLTS 2005). Dr. Bhunia has given tutorials on low-power and robust design and test in premier conference including International Test Conferences (ITC 2009), VLSI Test Symposium (VTS 2010), and Design Automation and Test in Europe (DATE 2009). He is a distingusihed ACM speaker and a senior member of IEEE. Lab Website | New Text Book

  • Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives

    On Friday, November 27, 2020 at 10:00 a.m., Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. Day & Time: Friday, November 27, 2020 10:00 a.m. – 12:00 p.m. Speaker: Enas Tarawneh Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE Location: Virtual Contact: Ayda Naserialiabadi Abstract: The workshop will focus on extracting images from multiple sources (webcam, video, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: a) Extracting frames from a camera, video or ROS bag and generating a image stream b) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor c) Perform multiple image processing to extract motion d) Create a motion map on the generated image of the floor. Register: Please click here to register. Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.