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DTSTART;TZID=America/Toronto:20180404T180000
DTEND;TZID=America/Toronto:20180404T210000
DTSTAMP:20260527T052954
CREATED:20210430T014020Z
LAST-MODIFIED:20210430T221339Z
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SUMMARY:Women in Robotics: Early Careers in Robotics\, Hardware and AI
DESCRIPTION:Wednesday\, April 4th at 6:00 p.m.\, come and hear from a group of young engineers as they share their experiences finding jobs\, where they see opportunities\, and what they wish they knew when they first started out – “Women in Robotics: Early Careers in Robotics\, Hardware and AI”. \nDay & Time: Wednesday\, April 4\, 2018\n6:00 p.m. ‐ 9:00 p.m. \nSpeakers:\nFiona Chui\, UAS Intelligence Developer\, SkyX Systems Corp\nGeneviève Foley\, Senior Research Engineer\, Medical Robotics\, Kinova\nKirusha Srimohanarajah\, Technology Transfer Developer\, Synaptive Medical \nLocation: OnRamp\, Suite 150\n100 College Street\, Toronto ON M5G 1L5 \nRVSP: https://www.meetup.com/GYBORobotics/events/249241506 \nOrganizer: IEEE Toronto Women in Engineering\, Instrumentation & Measurement – Robotics & Automation Chapter \nAbstract: In celebration of National Engineering Month\, March 2018 and International Women’s Day\, March 8\, 2018\, come and hear from a group of young engineers as they share their experiences finding jobs\, where they see opportunities\, and what they wish they knew when they first started out. The speakers will also share some of their work. \nThis event is produced by the GYBO Robotics Network in partnership with the Society of Women Engineers Toronto and the IEEE Women in Engineering Toronto Chapter.
URL:https://www.ieeetoronto.ca/event/women-in-robotics-early-careers-in-robotics-hardware-and-ai/
LOCATION:100 College St\, Toronto\, ON M5G 1L5\, Canada
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180409T123000
DTEND;TZID=America/Toronto:20180409T133000
DTSTAMP:20260527T052954
CREATED:20210430T014020Z
LAST-MODIFIED:20210430T221404Z
UID:10000102-1523277000-1523280600@www.ieeetoronto.ca
SUMMARY:Data Security and Privacy in Healthcare
DESCRIPTION:Monday\, April 9th at 12:30 p.m.\, Dave Rajnauth\, will be presenting “Data Security and Privacy in Healthcare”. \nDay & Time: Monday\, April 9\, 2018\n12:30 p.m. \nSpeaker: Dave Rajnauth\nGRA Consultants \nLocation: Room A3-13\nCentennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8 \nContact: Dr. Maryam Davoudpour \nOrganizer: IEEE Toronto WIE\, Instrumentation/ Measurement – Robotics Automation Chapters \nAbstract: Complex challenges of data security and privacy in healthcare requires innovative and cost effective solutions for healthcare organizations. A good understanding of these challenges and the complex task of protecting data privacy is essential in preventing data breaches. This presentation is an overview of the cybersecurity challenges face by health care organizations.
URL:https://www.ieeetoronto.ca/event/data-security-and-privacy-in-healthcare/
LOCATION:Room A3-13\, Centennial College\, Progress Campus 941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180409T180000
DTEND;TZID=America/Toronto:20180409T190000
DTSTAMP:20260527T052954
CREATED:20210430T014021Z
LAST-MODIFIED:20210430T222828Z
UID:10000105-1523296800-1523300400@www.ieeetoronto.ca
SUMMARY:Engineering a Greener Tomorrow
DESCRIPTION:Monday\, April 9th at 6:00 p.m.\, Dr. Damir Novosel\, IEEE PES Immediate Past President and now President of Quanta Technology LLC\, will be presenting “Engineering a Greener Tomorrow”. \nDay & Time: Monday\, April 9\, 2018\n6:00 p.m. ‐ 7:00 p.m. \nSpeaker: Dr. Damir Novosel\nIEEE PES Immediate Past President\nPresident\, Quanta Technology LLC \nLocation: Bahen Center of Information Technology\, Room BA4287\n40 St George St.\nToronto\, Ontario\nCanada M5S 2E4 \nContact: Hoda Youssef \nOrganizer: IEEE Toronto Industry Applications & Power Electronics Society Join Chapter \nRVSP: https://events.vtools.ieee.org/m/168257 \nAbstract: Reliable and efficient electrical grid operation is critical to society. The electrical power and energy industry in the next decades is changing rapidly to meet the demands of the society and address challenges. New technology trends include development of more efficient\, reliable\, and cost-effective renewable generation and Distributed Energy Resources (DER)\, energy storage technologies\, Electric Vehicles (EV)\, monitoring\, protection\, automation\, and control devices\, and communications that offer significant opportunities for realizing a sustainable and greener energy future. We are at a crossroads in making business and technical decisions that will allow us to optimally and cost-effectively manage the greener tomorrow. \nThe presentation will address some of the challenges and opportunities facing modern grids and how industry trends and innovation will shape the future grid. Topics included are: \n• Industry Trends and Transformation Drivers\n• Opportunities and challenges with distributed energy resources\, microgrids\, electrical vehicles and the role of storage\n• Technologies for the changing nature of the grid\n• Grid modernization roadmap\n• Education and workforce needs\n• Key success factors to prepare for the greener future \nBiography: Dr. Damir Novosel is president of Quanta Technology\, a subsidiary of Quanta Services\, a Fortune 500 company. Previously\, he was vice president of ABB Automation Products and president of KEMA T&D US. \nDamir is elected to National Academy of Engineers in 2014. He served as IEEE Power and Energy Society President (2016-2017) and Vice President of Technical Activities (2011-2012) and is a member of the IEEE Standards Board. He is also a member of the CIGRE US National Committee and received the CIGRE Attwood Associate award. \nDamir holds 17 US and international patents and published over 100 articles and was leading and participating in developing industry standards and guides\, receiving IEEE PES 2011 and 2013 Prize Paper Awards. Dr. Novosel is also an adjunct professors of Electrical Engineering at North Carolina State University. \nHe holds PhD and MSc\, BSc degrees in electrical engineering from Mississippi State University (where he was a Fulbright scholar)\, the University of Zagreb\, Croatia\, and the University of Tuzla\, Bosnia and Herzegovina\, respectively. Dr. Novosel was selected Mississippi State University Distinguished Engineering Fellow in 2015.
URL:https://www.ieeetoronto.ca/event/engineering-a-greener-tomorrow/
LOCATION:Bahen Center of Information Technology\, Room BA4287\, 40 St George St.
CATEGORIES:Industry Applications
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180413T100000
DTEND;TZID=America/Toronto:20180413T110000
DTSTAMP:20260527T052954
CREATED:20210430T014021Z
LAST-MODIFIED:20210430T222901Z
UID:10000107-1523613600-1523617200@www.ieeetoronto.ca
SUMMARY:Iris Matching and De-Duplication of Voter Registration Lists
DESCRIPTION:Friday\, April 13th at 10:00 a.m.\, Schubmehl-Prein Professor Kevin W. Bowyer\, will be presenting an IEEE Signal Processing Society Distinguished Lecture “Iris Matching and De-Duplication of Voter Registration Lists”. \nDay & Time: Friday\, April 13\, 2018\n10:00 a.m. ‐ 11:00 a.m. \nSpeaker: Schubmehl-Prein Professor Kevin W. Bowyer\nDepartment of Computer Science & Engineering University of Notre Dame\, IN\, US \nLocation: Room BA-4287\, University of Toronto\nhttp://map.utoronto.ca/building/080 \nContact: Mehrnaz Shokrollahi\, Yashodhan Athavale \nOrganizer: IEEE Signal Processing Chapter Toronto Section \nAbstract: Fingerprint\, face and iris are widely used as biometrics to verify a person’s identity. One important application of biometrics is to ensure that each person is enrolled only once on a list of eligible voters. Keeping someone from voting multiple times under different identitiesis referred to as “de-duplicating” the voting register. This talk will present results of a de-duplication trial performed for the country of Somaliland. The talk will cover how iris recognition works\, what level of matching accuracy can be expected\, what the matching accuracy suggests in terms of expected number of false matches and false non-matches\, and some “special case” example images. (You should not need any prior experience with iris recognition tounderstand this talk.) \nBiography: Kevin Bowyer is the Schubmehl-Prein Family Professor of Computer Science and Engineering at the University of Notre Dame and also serves as Director of International Summer Engineering Programs. Professor Bowyer’s research interests range broadly over computer vision and pattern recognition\, including biometrics and data mining. Professor Bowyer received a 2014 Technical Achievement Award from the IEEE Computer Society\, with the citation “For pioneering contributions to the science and engineering of biometrics”. Professor Bowyer is a Fellow of the IEEE\, “for contributions to algorithms for recognizing objects in images”; a Fellow of the IAPR\, “for contributions to computer vision\, pattern recognition and biometrics”; and a Golden Core Member of the IEEE Computer Society. Professor Bowyer is serving as General Chair of the 2019 IEEE Winter Conference on Applications of Computer Vision; has served as Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and as Editor-In-Chief of the IEEE Biometrics Compendium; and is currently serving on the editorial board of IEEE Access. Professor Bowyer’s most recent book is the Handbook of Iris Recognition\, edited with Dr. Mark Burge.
URL:https://www.ieeetoronto.ca/event/iris-matching-and-de-duplication-of-voter-registration-lists/
LOCATION:Room BA-4287\, Bahen Centre for Information Technology\, University of Toronto\, M5S 2E4
CATEGORIES:Signal Processing
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180417T110000
DTEND;TZID=America/Toronto:20180417T120000
DTSTAMP:20260527T052954
CREATED:20210430T014021Z
LAST-MODIFIED:20210430T222937Z
UID:10000109-1523962800-1523966400@www.ieeetoronto.ca
SUMMARY:The Future of Power and Energy Infrastructure
DESCRIPTION:Tuesday\, April 17th at 11:00 a.m.\, Dr. Martin Ordonez\, Canada Research Chair in Power Converters for Renewable Energy Systems\, will be presenting “The Future of Power and Energy Infrastructure”. \nDay & Time: Tuesday\, April 17th\, 2018\n11:00 a.m. ‐ 12:00 p.m. \nSpeaker: Dr. Martin Ordonez\nCanada Research Chair in Power Converters for Renewable Energy Systems\nAssociate Professor with the Department of Electrical and Computer Engineering\nUniversity of British Columbia \nLocation: Room BA4287\, Bahen Center of Information Technology\n40 St. George Street\, Toronto\, ON M5S 2E4 \nContact: hoda.youssef@ieee.org \nOrganizer: IEEE Toronto IAS & PELS Joint Chapter \nRegister: https://events.vtools.ieee.org/m/171254 \nAbstract: The incorporation of distributed renewable energy generation\, smart control systems\, and electric/hybrid vehicles into the existing grid infrastructure are challenging but necessary steps towards a more sustainable future. This presentation will describe key technologies and techniques that are necessary to modernize electrical generation\, distribution and consumption. The work that is currently ongoing at the University of British Columbia’s (UBC) campus will be used to illustrate some modern and future implementations. Techniques such as load shedding\, peak shifting\, active power factor correction\, and backup will be discussed. The technical challenges and solutions associated with implementing these sustainable solutions will be addressed. \nBiography: Dr. Martin Ordonez is the Canada Research Chair in Power Converters for Renewable Energy Systems and Associate Professor with the Department of Electrical and Computer Engineering\, University of British Columbia\, Vancouver\, BC\, Canada. He is also the holder of the Fred Kaiser Professorship on Power Conversion and Sustainability at UBC. He was an Adjunct Professor with Simon Fraser University and Memorial University of Newfoundland. His industrial experience in power conversion includes research and development at Xantrex Technology Inc./Elgar Electronics Corp. (now AMETEK Programmable Power)\, where he developed high-density power converters and advanced controllers. \nHe is the principal investigator of several power conversion grants and has developed partnerships with various companies in the sector. With the support of industrial funds and the Natural Sciences and Engineering Research Council (NSERC)\, he contributed more than 140 publications and R&D reports in the power area. Dr. Ordonez is an Associate Editor of the IEEE TRANSACTIONS ON POWER ELECTRONICS\, a Guest Editor for IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS\, an Editor for IEEE TRANSACTIONS ON SUSTAINABLE ENERGY serves on several IEEE committees\, and reviews widely for IEEE/IET journals and international conferences. He was awarded the David Dunsiger Award for Excellence in the Faculty of Engineering and Applied Science (2009) and the Chancellors Graduate Award/Birks Graduate Medal (2006)\, and became a Fellow of the School of Graduate Studies\, Memorial University.
URL:https://www.ieeetoronto.ca/event/the-future-of-power-and-energy-infrastructure/
LOCATION:Room BA4287\, 40 St. George Street\, Toronto\, ON M5S 2E4
CATEGORIES:Industry Applications
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180423T100000
DTEND;TZID=America/Toronto:20180423T110000
DTSTAMP:20260527T052954
CREATED:20210430T014022Z
LAST-MODIFIED:20210430T223006Z
UID:10000112-1524477600-1524481200@www.ieeetoronto.ca
SUMMARY:Achieving Balance Between Convergence and Diversity in Evolutionary Multiobjective Optimization
DESCRIPTION: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”. \nDay & Time: Monday\, April 23rd\, 2018\n10:00 a.m. ‐ 11:00 a.m. \nSpeaker: Dr. Kwong Tak Wu Sam\, Professor\nCity University of Hong Kong \nLocation: UOIT (2000 Simcoe Street North\, Oshawa L1H7K4 ON)\nRoom: UA2130 \nContact: hossam.gabbar@ieee.org \nAbstract: 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. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/achieving-balance-between-convergence-and-diversity-in-evolutionary-multiobjective-optimization/
LOCATION:UOIT (2000 Simcoe Street North\, Oshawa L1H7K4 ON) Room: UA2130
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