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  • Achieving Balance Between Convergence and Diversity in Evolutionary Multiobjective Optimization

    UOIT (2000 Simcoe Street North, Oshawa L1H7K4 ON) Room: UA2130

    Monday, April 23rd at 10:00 a.m., Dr. Kwong Tak Wu Sam, Professor, City University of Hong Kong, will be presenting “Achieving Balance Between Convergence and Diversity in Evolutionary Multiobjective Optimization”. Day & Time: Monday, April 23rd, 2018 10:00 a.m. ‐ 11:00 a.m. Speaker: Dr. Kwong Tak Wu Sam, Professor City University of Hong Kong Location: UOIT (2000 Simcoe Street North, Oshawa L1H7K4 ON) Room: UA2130 Contact: hossam.gabbar@ieee.org Abstract: Nowadays, many real world problems are multi-objective in nature in the sense that multiple conflicting criteria need to be optimized simultaneously. As a consequence, instead of a global optimal solution in the case of single-objective optimization, usually, the optimum of multi-objective optimization corresponds to a set of so called Pareto optimal solutions for which no solutions can win in all objectives, due to the conflict between objectives. Evolutionary Multi-objective Optimization (EMO) algorithms have been widely used in practice for solving these multi-objective optimization problems for several reasons. At first, EMO approaches can tackle problems with nonlinear, non-differentiable, or noisy objective functions. Secondly, the population based search manner opens new opportunities in dealing with multi-objective optimization problems by searching for multiple alternatives simultaneously. Therefore, EMO has become one of the most active research areas in evolutionary computation. In this talk, I will first give an in–depth introduction to the EMO field and subsequently presented ourrecent developments which are 1) Adaptive Operator Selection (AOS)aims to provide the on-line autonomous control of the operator that should be applied at each instant of the search.This work proposes a bandit based AOS method, Fitness-Rate-Rank-based Multi-Armed Bandit (FRRMAB) to track the dynamics of the search process, it uses a sliding window to record the recent fitness improvement rates achieved by the operators, while employing a decaying mechanism to increase the selection probability of the best operator. Our experimental results demonstrate that FRRMAB is robust and its operator selection is reasonable,and 2) Asimple and effective stable matching (STM) model to coordinate the selection processinMultiobjective Evolutionary Algorithm based on DecompositionMOEA/D. In this model, subproblem agents can express their preferences over the solution agents, and vice versa. The stable outcome produced by the STM model matches each subproblem with onesingle solution, and it tradeoffs convergence and diversity of the evolutionary search. In addition, a two-level stable matching-based selection is proposed to further guarantee the diversity of the population. More specifically, the first level of stable matching only matches a solution to one of its most preferred subproblems and the second level of stable matching is responsible for matching the solutions to the remaining subproblems. Experimental studies demonstrate that the proposed selection scheme is effective and competitive comparing to other state-of-the-art selection schemes for MOEA/D.In both works, the techniques for achieving balance between convergence and diversity in evolutionary multiobjective optimizationare presented. Biography: Sam Kwong received the B.Sc. degree from the State University of New York at Buffalo, Buffalo, NY, in 1983, the M.A.Sc. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 1985, and the Ph.D. degree from the Fernuniversität Hagen, Hagen, Germany, in 1996. From 1985 to 1987, he was a Diagnostic Engineer with Control Data Canada, where he designed the diagnostic software to detect the manufacture faults of the VLSI chips in the Cyber 430 machine. He later joined the Bell Northern Research Canada as a Member of Scientific Staff, where he worked on both the DMS-100 voice network and the DPN-100 data network project. In 1990, he joined the City University of Hong Kong as a Lecturer in the Department of Electronic Engineering. He iscurrently an Associate Professor in the Department of Computer Science. He was responsible of the software design of the first handheld GSM mobile phone consultancy project in which it was one of the largest consultancy projects at the City University of Hong Kong in 1996. He coauthored three research books on genetic algorithms, eight book chapters, and over 200 technical papers. He has been a consultant to several companies in telecommunications. Prof. Kwong was awarded the Best Paper Award for his paperentitled “Multiobjective Optimization of Radio-to-Fiber Repeater Placement Using a Jumping Gene Algorithm” at the IEEE International Conference on Industrial Technology (ICIT’05), Hong Kong, in 2005. In addition, he received the Best Paper Award at the 1999 BioInformatics Workshop, Tokyo, for the paper entitled “A Compression Algorithm for DNA Sequences and Its Application in Genome Comparison” in recognition of his outstanding contribution to the conference. Currently, he is the Associate Editor for the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, the IEEE TRANSACTIONS ON INDUSTRIAL electronics, IEEE transactions on Evolutionary Computation, the Journal of Information Science. Currently, he is the Head and Professor of the department of Computer Science, City University of Hong Kong. Prof. Kwong was elevated to IEEE fellow for his contributions on Optimization Techniques for Cybernetics and Video coding in 2014.

  • ComSoc Seminar: Beef Up the Edge, How to Build a More Powerful IOT System

    Room Number: ENG460, George Vari Engineering and Computing Centre, 245 Church Street., Toronto, ON M5B 2K3

    Friday, May 4th at 11:00 a.m., Prof. Yuguang “Michael” Fang, Department of Electrical and Computer Engineering, University of Florida and fellow of the IEEE, will be presenting a communications seminar: “Beef Up the Edge, How to Build a More Powerful IOT System”. Day & Time: Friday, May 4, 2018 11:00 a.m. ‐ 12:00 p.m. Speaker: Prof. Yuguang “Michael” Fang Department of Electrical and Computer Engineering, University of Florida Fellow of the IEEE Location: Room Number: ENG460 George Vari Engineering and Computing Centre 245 Church Street., Toronto, ON M5B 2K3 Contact: Eman Hammad Organizer: Communications Society, Ryerson University Abstract: Connected things in various cyber-physical systems (CPSs), namely IoTs, enable us to sense physical environments, extract intelligent information, and better regulate physical systems we heavily depend on in our daily life. Unfortunately, how to design effective and efficient systems to meet specific applications with diverse quality of service requirements is of paramount importance but highly challenging due to the spatial and temporal variations of user traffic, network spectrum resource, computing capability, storage, and device types. One holistic design approach from the end-to-end perspective seems to be in dire need. In this talk, the speaker will discuss various related problems and challenges in a connected world and then present a novel collaborative network architecture to enabling connected things to effectively harvest in-network capability (spectrum, energy, storage, and computing power) in a cognitive fashion and intelligently manage the spectrum efficiency, energy efficiency, and yes, security! By pushing in-network capability in communications, computing, and storage to the edge, this network architecture provides an effective and robust approach to IoT. Biography: Dr. Yuguang “Michael” Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a University of Florida Research Foundation (UFRF) Professorship (2006-2009, 2017-2020), a University of Florida Term Professorship (2017-2019) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (is currently affiliated with Dalian Maritime University). Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017), the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including IEEE Transactions on Mobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM’2005. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).

  • ComSoc Distinguished Lecture: Advances and Challenges in 5G Wireless Security

    Room Number: ENG LG02, George Vari Engineering and Computing Centre, 245 Church Street., Toronto, ON M5B 2K3

    Friday, May 4th at 1:00 p.m., Prof. Yi Qian, professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln will be presenting a distinguished lecture: “Advances and Challenges in 5G Wireless Security”. Day & Time: Friday, May 4, 2018 1:00 p.m. ‐ 2:00 p.m. Speaker: Prof. Yi Qian Dept. of Electrical & Computer Engineering University of Nebraska‐Lincoln, USA Location: Room Number: ENG LG02 George Vari Engineering and Computing Centre 245 Church Street., Toronto, ON M5B 2K3 Contact: Eman Hammad Organizer: Communications Society, Ryerson University Abstract: Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular, Wi‐Fi, Bluetooth connections. These technologies have been developed for many years; nonetheless, they are still being enhanced. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have been evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast‐growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc. This talk covers the topics on security for next generation mobile wireless networks, with focusing on 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area. Biography: Dr. Yi Qian received a Ph.D. degree in electrical engineering from Clemson University. He is a professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks, a senior systems engineer and a technical advisor at several start‐up companies, an assistant professor at University of Puerto Rico at Mayaguez, and a senior researcher at National Institute of Standards and Technology. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad‐hoc and sensor networks, vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high‐speed networks and the Internet. He has a successful track record to lead research teams and to publish research results in leading scientific journals and conferences. Dr. Yi Qian is a member of ACM and a senior member of IEEE. He is serving on the editorial board for several international journals and magazines, including serving as the Associate Editor‐in‐Chief for IEEE Wireless Communications Magazine. He is a Distinguished Lecturer for IEEE Vehicular Technology Society and IEEE Communications Society. He is serving as the Technical Program Committee Chair for IEEE International Conference on Communications 2018.

  • ComSoc Distinguished Lecture: Machine Learning in Digital Medicine

    Room BA1210, Bahen Centre for Information Technology, 40 St George St., Toronto, ON M5S 2E4

    Monday, May 7th at 3:00 p.m., Dr. Giorgio Quer, Sr. Research Scientist at the Scripps Research Institute and Director of Artificial Intelligence at the Scripps Translational Science Institute will be presenting a distinguished lecture: “Machine Learning in Digital Medicine”. Day & Time: Monday, May 7, 2018 3:00 p.m. ‐ 4:00 p.m. Speaker: Dr. Giorgio Quer Sr. Research Scientist, Scripps Research Institute, San Diego, California Director of Artificial Intelligence, Scripps Translational Science Institute Senior Member of the IEEE, Distinguished Lecturer for the IEEE Communications society Location: Room BA1210 Bahen Centre for Information Technology 40 St George St., Toronto, ON M5S 2E4 Contact: Eman Hammad Organizer: Communications Society Abstract: Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. At Scripps, we promote a strong collaboration between computer scientist, engineers, and clinical researchers, as well as a direct partnership with health industry leaders. We propose new solutions to analyze large longitudinal data using statistical learning and deep convolutional neural networks to address different cardiovascular health issues. Among them, one of the greatest contributors to premature morbidity and mortality worldwide is hypertension. It is known that lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits, but the assessment of the “true” BP for an individual is non-trivial, as the individual BP can fluctuate significantly. We analyze a large dataset of more than 16 million BP measurements taken at home with commercial BP monitoring devices, in order to unveil the BP patterns and provide insights on the clinical relevance of these changes. Another prevalent health issue we investigated is atrial fibrillation (AFib), one of the most common sustained cardiac arrhythmia, which is associated with stroke, hospitalization, heart failure and coronary artery disease. AFib detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AFib events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent deep network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance for the AFib detection problem using 200 thousand seconds of ECG recording, highlighting the potential of this technology. Looking to the future, we are investigating new applications of existing wearable devices, requiring advanced processing and clinical validation, and we are participating to the All of Us research program, an unprecedented research effort to gather data from one million people in the USA to accelerate the advent of precision medicine. Biography: Dr. Giorgio Quer is a Sr. Research Scientist at the Scripps Research Institute in San Diego, California, and he is the Director of Artificial Intelligence at the Scripps Translational Science Institute. He received the B.Sc. degree, the M.Sc. degree (with honors) in Telecommunications Engineering and the Ph.D. degree (2011) in Information Engineering from University of Padova, Italy. In 2007, he was a visiting researcher at the Centre for Wireless Communication at the University of Oulu, Finland. During his Ph.D., he proposed a solution for the distributed compression of wireless sensor networks signals, based on the joint exploitation of Compressive Sensing and Principal Component Analysis. From 2010 to 2017, he was a visiting scholar at the California Institute for Telecommunications and Information Technology and then a postdoc at the Qualcomm Institute, University of California San Diego (UCSD), working on cognitive networks protocols and implementation. He is a Senior Member of the IEEE, a member of the American Heart Association (AHA), and a Distinguished Lecturer for the IEEE Communications society. His research interests include wireless sensor networks, network optimization, compressive sensing, probabilistic models, deep convolutional networks, wearable sensors, physiological signal processing, and digital medicine.

  • S&C Electric Factory Tour

    90 Belfield Rd, Etobicoke, ON M9W 1G4

    Monday, May 14th at 2:00 p.m., IEEE Dielectric and Electrical Insulation Toronto together with PES chapter has arranged a facility tour of S&C Electric in Etobikoe. Day & Time: Monday, May 14, 2018 2:00 p.m. ‐ 4:00 p.m. Location: 90 Belfield Rd Etobicoke, ON M9W 1G4 Contact: Ali Naderian Organizer: IEEE Toronto DEIS Chapter, PES Chapter Register: https://meetings.vtools.ieee.org/m/170929 Abstract: IEEE Dielectric and Electrical Insulation Toronto together with PES chapter has arranged a facility tour of S&C Electric in Etobicoke. Attendees are couraged to bring their own safety shoes and glasses. S&C specializes in the switching, protection, and control of electric power systems. This started with a single product in 1909, the Liquid Power Fuse, which was the first reliable power fuse able to protect against the high currents in distribution substations. Its invention helped pioneer the widespread adoption and spread of electricity. S&C has invented many innovative products and pioneered new applications in the power industry. SMD® Power Fuses, Loadbuster®, Circuit Switcher, Pad-Mounted Gear, VISTA® SF6 insulated switchgear, Fault Fiter® Electronic Power Fuses, and Scada-Mate Switching systems are just a few of the S&C products that have significantly changed power system design and operating practices.

  • Shielded Enclosure Metrics

    Room BA2185, 40 St. George Street, Toronto, ON M5S 2E4

    Tuesday, May 15th at 4:00 p.m., Prof. Andy Marvin, IEEE Life Fellow and Fellow of Royal Academy of Engineering, will be presenting “Shielded Enclosure Metrics”. Day & Time: Tuesday, May 15th, 2018 4:00 p.m. ‐ 5:00 p.m. Speaker: Prof. Andy Marvin IEEE Life Fellow, Fellow of Royal Academy of Engineering Professor Emeritus, Department of Electronic Engineering, University of York, York, UK. Location: Room BA2185, Bahen Center of Information Technology 40 St. George Street, Toronto, ON M5S 2E4 Contact: gelefth@ece.utoronto.ca Organizer: IEEE Toronto Electromagnetics & Radiation Chapter Abstract: The lecture describes the author’s research over the past decade investigating better ways of defining and assessing the shielding performance of equipment enclosures. The definition of enclosure Shielding Effectiveness and its limitations are reviewed. Then recent research on the use of surrogate contents to replicate real electronic enclosure contents is described leading to alternative definitions of enclosure shielding performance. Latterly, the work has concentrated on shielding of equipment enclosures in the microwave frequency range. Measurement techniques exploiting the reverberant nature of the enclosures are described. The work has contributed to the recently released IEEE Std 299.1 on the measurement of equipment enclosure shielding. The HUAWEI Corporation has sponsored the research since 2014. Biography: Andy Marvin is Professor Emeritus in the University of York’s Department of Electronic Engineering. He received his BEng, MEng and PhD degrees in Electrical and Electronic Engineering from the University of Sheffield between 1972 and 1979. From 1977 to 1979 he was with the British Aircraft Corporation at Filton, Bristol, UK working on antenna design and EMC. He was appointed to a Lectureship in Electronics at the University of York in the UK in 1979 and promoted to Professor of Applied Electromagnetics in 1995. He retired in December 2017 and was appointed as Professor Emeritus in February 2018. He was appointed as Technical Director of York EMC Services at its founding in 1995. He resigned his directorship when the company was acquired by Eurofins in June 2017. He is a Fellow of the Royal Academy of Engineering and an IEEE Life Fellow. He was Vice-Chairman of the IEEE Std-299 Working Group on Shielding Effectiveness Measurement, and is currently Vice-Chairman of the IEEE EMC Society Standards Advisory and Co-ordination Committee. From 1994 to 2015 he was an Associate Editor of IEEE Transactions on EMC. He was a member of the UK National Measurement System Advisory Panels on Innovation Research and Development and Materials and Modelling from 2008 to 2015. He has contributed lectures on Antennas and on Shielding to the IEEE EMCS Global University and Chaired its Faculty in 2010. His main research interests are EMC measurement and modelling techniques, EMC antennas and electromagnetic shielding measurement and modelling. To date, starting in 1976, he is author over 300 papers. In 1992, he and Dr Stuart Porter invented the Bilog EMC measurement antenna. He is a founder member of the International Steering Committee of EMC Europe conferences, Conference Chair of EMC Europe 2011 (York) and Chair of the EMC Europe International Steering Committee for 2015 – 2018. He was President of the York Society of Engineers (2014/16) and is Chief Flying Instructor at the York Gliding Centre.

  • Practical Power Flow Controller Brings Benefits of Power Electronics to the Grid

    Room BA4287, 40 St George St., Toronto, Ontario M5S 2E4

    Friday, May 18th at 3:00 p.m., Kalyan Sen, Fulbright Scholar and Chief Technology Officer of Sen Engineering Solutions Inc., will be presenting “Practical Power Flow Controller Brings Benefits of Power Electronics to the Grid”. Day & Time: Friday, May 18, 2018 3:00 p.m. ‐ 4:00 p.m. Speaker: Kalyan Sen Chief Technology Officer of Sen Engineering Solutions Inc. Fulbright Scholar Senior Member of IEEE Location: Room BA4287, Bahen Center of Information Technology University of Toronto 40 St George St., Toronto Ontario M5S 2E4 Contact: Sanaz Kanani Organizer: IEEE Toronto Industry Applications & Power Electronics Society Join Chapter RVSP: https://events.vtools.ieee.org/m/169041 Abstract: Power flow control techniques have been practiced, from using inductors, capacitors, transformers and load tap changers in the earlier days of electrical engineering to power electronics-based solutions in recent years. Even though the costs and complexities of the available solutions vary widely, the basic underlying theory of power flow control is still the same as it always has been. The question is which solution one should employ. The answer depends on knowing what the true need is. The power industry’s pressing need for the most economical ways to transfer bulk power along a desired path may be met by building new transmission lines, which is a long and costly process. Alternately, it may be quicker and cheaper to utilize the existing transmission lines more efficiently. The key is to identify the underutilized transmission lines and harness their dormant capacity to increase the power flows to the lines’ thermal limits. Since the commissioning of the first commercial power electronics-based Flexible Alternating Current Transmission Systems (FACTS) controller two decades ago, a great deal has been learned about the true needs of a utility for its everyday use and they are high reliability, high efficiency, low installation and operating costs, component non-obsolescence, fast enough response for utility applications, high power density, interoperability, and easy relocation to adapt to changing power system’s needs while providing the optimal power flow control capability. This was the motivation to develop a SMART Power Flow Controller (SPFC) that enhances the controllability in an electric power transmission system by using functional requirements and cost-effective solutions. The presentation is designed to provide the basic principles of power flow control theory, an overview of the most commonly used power flow controllers, and future trends. The presentation will be of particular interest to all utility power engineering professionals. The required background is an equivalent of an Electrical Engineering degree with familiarity in power engineering terminology. The audience will hear from an expert who actually designed and commissioned a number of power electronics-based FACTS controllers since its inception in the 1990s. Biography: Kalyan Sen, a newly selected Fulbright Scholar, is the Chief Technology Officer of Sen Engineering Solutions, Inc. that specializes in developing SMART power flow controllers—a functional requirements-based and cost-effective solution. He spent 30 years in academia and industry and became a Westinghouse Fellow Engineer. He was a key member of the Flexible Alternating Current Transmission Systems (FACTS) development team at the Westinghouse Science & Technology Center in Pittsburgh. He contributed in all aspects (conception, simulation, design, and commissioning) of FACTS projects at Westinghouse. He conceived some of the basic concepts in FACTS technology. He has authored or coauthored more than 25 peer-reviewed publications, 8 issued patents, a book and 4 book chapters in the areas of FACTS and power electronics. He is the coauthor of the book titled, Introduction to FACTS Controllers: Theory, Modeling, and Applications, IEEE Press and John Wiley & Sons, Inc. 2009, which is also published in Chinese and Indian paperback editions. He is the co-inventor of Sen Transformer. He received BEE, MSEE, and PhD degrees, all in Electrical Engineering, from Jadavpur University, India, Tuskegee University, USA, and Worcester Polytechnic Institute, USA, respectively. He also received an MBA from Robert Morris University, USA. He is a licensed Professional Engineer in the Commonwealth of Pennsylvania. He is a Distinguished Toastmaster who led District 13 of Toastmasters International as its Governor to be the 10th-ranking District in the world in 2007-8. Kalyan, a Senior Member of IEEE, has served the organization in many positions. Under his leadership, IEEE Pittsburgh Section and its three chapters (PES, IAS and PELS) received Best Section and Chapter Awards. His other past positions included Editor of the IEEE Transactions on Power Delivery (2002 – 2007), Technical Program Chair of the 2008 PES General Meeting in Pittsburgh, Chapters and Sections Activities Track Chair of the 2008 IEEE Sections Congress in Quebec City, Canada, PES R2 Representative (2010 and 2011) and Member of the IEEE Center for Leadership Excellence (CLE) Committee (2013, 2014). He has been serving as an IEEE PES Distinguished Lecturer since 2002. In that capacity, he has given presentations on power flow control technology more than 100 times in 15 countries. He is an inaugural class (2013) graduate of the IEEE CLE Volunteer Leadership Training (VOLT) program. Kalyan is the recepient of the IEEE Pittsburgh Section PES Outstanding Engineer Award (2004) and Outstanding Volunteer Service Award for reviving the local Chapters of PES and IAS from inactivity to world-class performance (2004). He has been serving as the Special Events Coordinator of the IEEE Pittsburgh Section for the last decade. He is the Region 1-3 & 7 Coordinator of Power Electronics Society.

  • Introduction To Robotics and Automation

    Welcome to IEEE Introduction to Robotics and Automation. This course develops students' skills and self-confidence in common automation practices. The student will learn the parts of a robot, how they work together and the theory and code used to control them. Date & Time: Monday May 28th, 2018 2:30 p.m. Location: Humber North Campus, J Building Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group For information, please contact: maryam.davoudpour@ieee.org

  • RF in Medicine: Current Status and Challenges of Antennas and Wireless Power

    Room Number: BA 1180 Bahen Centre for Information Technology 40 St George St, Toronto, ON M5S 2E4

    Thursday, May 31st at 4:00 p.m., Dr Yongxin Guo, National University of Singapore, Singapore, will be presenting a distinguished lecture: “RF in Medicine: Current Status and Challenges of Antennas and Wireless Power”. Day & Time: Thursday, May 31, 2018 4:00 p.m. ‐ 5:00 p.m. Speaker: Dr Yongxin Guo National University of Singapore, Singapore Location: Room Number: BA 1180 Bahen Centre for Information Technology 40 St George St, Toronto, ON M5S 2E4 Contact: George V. Eleftheriades Organizer: IEEE Toronto Electromagnetics & Radiation Chapter Abstract: Wireless power and data telemetry technologies for biomedical and healthcare applications have received a lot of attention recently. Numerous applications in medical diagnostics and therapeutics ranging from cardiac pacemakers to emerging devices in visual prosthesis, brain computer interfaces and body area networks have spurred electronic engineers to propose new wireless medical devices. In the meantime, the ageing population poses many challenges to healthcare systems, especially on chronic illness management. In this talk, I would mainly cover our recent research progress on wearable/implantable antennas and wireless power for biomedical applications. A few related ongoing biomedical projects for on-body and in-body applications will be addressed. In addition, I would also briefly introduce my other related research activities. Biography: Yong-Xin Guo received his Ph.D. degree from City University of Hong Kong in 2001. From September 2001 to January 2009, he was with the Institute for Infocomm Research, Singapore, as a Research Scientist. He joined the Department of Electrical and Computer Engineering, National University of Singapore (NUS), as an Assistant Professor in February 2009 and was promoted to a tenured Associate Professor in Jan 2013. He has authored or co-authored 206 international journal papers and ~200 international conference papers. Thus far, his publications have been cited more than 6200 times and the H-index is 44 (source: Google Scholar). He holds 8 granted/filed Patents in U.S. or China. His current research interests include antennas for wireless communications and biomedical applications, wireless power for biomedical and IoTs, and MMIC modelling and design. He has graduated 12 PhD students at NUS. Dr Guo was the General Chair/Co-Chair for AWPT 2017, ACES-China 2017, IEEE IMWS-AMP 2015 and IEEE IMWS-Bio 2013. He served as a Technical Program Committee (TPC) Co-Chair for IEEE IMWS-AMP 2017 and RFIT2009. He is serving as Associate Editors for IEEE Journal of Electromagnetics, RF and Microwave in Medicine and Biology, IEEE Antennas and Wireless Propagation Letters, and Electronics Letters. He was a recipient of the Young Investigator Award 2009, National University of Singapore. He received 2013 Raj Mittra Travel Grant Senior Researcher Award. He is an IEEE Fellow.

  • Big Data Based Recommendation Approaches for Healthcare

    Room GB405, University of Toronto (Galbraith Building), 35 St George St., Toronto Ontario M5S 1A4

    Thursday, May 31st at 6:00 p.m., Samee U. Khan, Associate Professor of Electrical and Computer Engineering at the North Dakota State University, will be presenting “Big Data Based Recommendation Approaches for Healthcare”. Day & Time: Thursday, May 31, 2018 6:00 p.m. ‐ 9:00 p.m. Speaker: Samee U. Khan Department of Electrical and Computer Engineering North Dakota State University Location: Room GB405, University of Toronto (Galbraith Building) 35 St George St., Toronto Ontario M5S 1A4 Contact: Dennis Cecic Organizer: IEEE Toronto Computer Society RVSP: https://events.vtools.ieee.org/m/162924 Fees: IEEE Members: Free Non-Member (Professional): $10 + 13% HST Abstract: Recommender systems have attained widespread acceptance and have attracted the increased attention by the masses for over a decade. Recommender systems alleviate the complexities of products and services selection tasks and are meant to overcome the issuesof information overload. Just like the recommender systems’ prospects in e-commerce and several other business domains,recommender systems have also been developed to offer recommendations about healthcare services and products. Considering the high volumes and dimensionality of healthcare data, utilization of efficient techniques to manage the big data is inevitable. In this talk, we describe the need and rationale for using the big data enabled techniques for healthcare data. As case studies, we will detail our work on developing recommendation systems for: (a) health insurance products recommendation, (b) health expert recommendation from social media, (c) identification of influential doctors from Twitter, and (d) disease risk assessment services. During the discussion on the cases studies, we will discuss the following issues that are particular to the recommender systems: (a) cold start, (b) long-tail problem, and (c) scalability. Biography: Samee U. Khan received a BS degree in 1999 from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan, and a PhD in 2007 from the University of Texas, Arlington, TX, USA. Currently, he is Associate Professor of Electrical and Computer Engineering at the North Dakota State University, Fargo, ND, USA. Prof. Khan’s research interests include optimization, robustness, and security of systems. His work hasappeared in over 300 publications. He is on the editorial boards of leading journals, such as IEEE Access, IEEE Communications Surveys and Tutorials, and IEEE IT Pro. He is an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, a Fellow of the Institution of Engineering and Technology (IET, formerly IEE), and a Fellow of the British Computer Society (BCS).

  • Introduction To Robotics Class 2: Practical Introduction to Robot Subsystems

    Humber College North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Date & Time: Monday June 4th, 2018 3:30 p.m. Location: Humber North Campus, J Building Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group For information, please contact: Dr Maryam Davoudpour