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Women in Robotics: Building Smart Robots with AI

Saturday, May 20th, 2017

Wednesday May 31, 2017 at 6:00 p.m. hear about the work of Dr. Sanja Fidler, Assistant Professor in Machine Learning and Computer Vision, University of Toronto and Dr. Inmar Givoni, Director of Machine Learning at Kindred Systems Inc., as part of “Women in Robotics: Building Smart Robots with AI”.

Day & Time: Wednesday May 31, 2017
6:00 p.m. – 9:00 p.m.

Speakers: Dr. Sanja Fidler, Assistant Professor, Department of Computer Science, University of Toronto
Dr. Inmar Givoni, Director, Machine Learning, Kindred Systems Inc.

Location: To be Announced

Organizers: IEEE Toronto Engineering in Medicine and Biology Society (EBMS), IEEE Women in Engineering, Society of Women Engineers Toronto

RVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/240003715/

Agenda:
6:00 pm – Networking
6:30 pm – Welcome
6:40 pm – Speakers
7:30 pm – Panel Discussion – Women in Robotics
8:00 pm – Networking
9:00 pm – Close

Get Your Bot On!, its partners Society of Women Engineers Toronto, IEEE Toronto Engineering in Medicine and Biology Society (EBMS) and IEEE Women in Engineering are pleased to bring you the ‘Women in Robotics Speaker Series’. This series celebrates the work of women in the field of robotics and provides a forum for them to share their work and career with the community. We invite all community members to come and learn, participate in the discussion, and celebrate the contribution of women to this field.

Biography:
Dr. Sanja Fidler, Assistant Professor, Department of Computer Science, University of Toronto

Dr. Sanja Fidler is an Assistant Professor at the Department of Computer Science, University of Toronto. She is the recipient of the Amazon Academic Research Award (2017) and the NVIDIA Pioneer of AI Award (2016). Previously she was a Research Assistant Professor at TTI-Chicago a philanthropically endowed academic institute located in the campus of the University of Chicago. She completed her PhD in computer science at University of Ljubljana in 2010, and was a postdoctoral fellow at University of Toronto during 2011-2012.

In 2010 she visited UC Berkeley. She has served as a Program Chair of the 3DV conference, and as an Area Chair of CVPR, EMNLP, ICCV, ICLR, and NIPS. Together with Rich Zemel and Raquel Urtasun, she received the NVIDIA Pioneer of AI award.

Her main research interests are object detection, 3D scene understanding, and the intersection of language and vision.

You can find Dr. Fidler on the web at http://www.cs.toronto.edu/~fidler/

Dr. Inmar Givoni, Director, Machine Learning, Kindred Systems Inc.

Dr. Inmar Givoni is the Director of Machine Learning at Kindred, where her team develops algorithms for machine intelligence, at the intersection of robotics and AI. Prior to that, she was the VP of Big Data at Kobo, where she led her team in applying machine learning and big data techniques to drive e-commerce, customer satisfaction, CRM, and personalization in the e-pubs and e-readers business. She first joined Kobo in 2013 as a senior research scientist working on content analysis, website optimization, and reading modelling among other things. Prior to that, Inmar was a member of technical staff at Altera (now Intel) where she worked on optimization algorithms for cutting-edge programmable logic devices.

Inmar 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. During her graduate studies, she worked at Microsoft Research, applying machine learning approaches for e-commerce optimization for Bing, and for pose-estimation in the Kinect gaming system. She holds a BSc in computer science and computational biology from the Hebrew University in Jerusalem. 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 big data, analytics, and machine learning events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths.

You can find Dr. Givoni on the web at http://www.inmarg.net/

Biomedical Signal and Image Analysis Workshop

Thursday, May 18th, 2017

Wednesday May 24, 2017 at 9:15 a.m. IEEE Signal Processing Chapter, Toronto Section, IEEE Engineering in Medicine and Biology Society, Toronto Chapter, and Signal Analysis Research (SAR) Lab, Ryerson University will be presenting a series of sessions “Biomedical Signal and Image Analysis Workshop”.

Day & Time: Wednesday May 24, 2017
Morning Session: 9:15 a.m. – 12:30 p.m
Afternoon Session: 1:15 p.m. – 4:30 p.m.

Speakers:

Dr. Rangaraj M. Rangayyan, ranga@ucalgary.ca
Department of Electrical & Computer Engineering
University of Calgary, AB, Canada

Dr. Sridhar Krishnan, krishnan@ryerson.ca
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. April Khademi, akhademi@ryerson.ca
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Karthy Umapathy, karthi@ee.ryerson.ca
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Naimul Khan, n77khan@ryerson.ca
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Teodiano Bastos, teodiano@gmail.com
Departamento de Engenharia Elétrica
Universidade Federal do Espírito Santo, Vitoria, Brasil

Location: ENG 102, George Vari Engineering and Computing Centre
245 Church Street
Toronto, Ontario M5B 2K3
Ryerson University
https://goo.gl/maps/2qLpvJKgkYw

Contact: Mehrnaz Shokrollahi
Yashodhan Athavale

Organizers: Signal Analysis Research (SAR) Lab, Ryerson University
IEEE Signal Processing Chapter, Toronto Section
IEEE Engineering in Medicine and Biology Society, Toronto Chapter

Morning Session:

9:15am Welcome remarks
9:30am Talk M1: Color Image Processing with Biomedical Applications – Dr. Raj Rangayyan, U of Calgary

10:45am – 11:00am break

11:00am Talk M2: Medical Image Analysis Techniques for Radiology and Pathology Images – Dr. April Khademi, Ryerson Univ.
11:45am Talk M3: Biomedical Signal Processing for Cardiac Arrhythmias – Dr. Karthi Umapathy, Ryerson Univ.

Afternoon Session:

1:15pm Talk A1: Wearables, IoT and Analytics for Connected Healthcare – Dr. Sri Krishnan, Ryerson Univ.
2:00pm Talk A2: Assistive Technologies and BCI for Rehab Applications – Dr. Teodiano Bastos, UFES, Brazil

2:45pm – 3:00pm break

3:00pm Talk A3: Interactive Machine Learning for Biomedical Signal and Image Analysis – Dr. Naimul Khan, Ryerson Univ.
3:45pm – 4:30pm Open think-tank discussions on challenges and opportunities facing this field in the era of big data, AI, and translational research – moderated by S. Krishnan

Biographies:

Rangaraj M. Rangayyan is a Professor Emeritus of the Department of Electrical and Computer engineering (ECE) at the University of Calgary. Dr. Rangayyan received his Ph.D. in Electrical Engineering from the Indian Institute of Science in 1980. He has over 35 years as a professor at the University of Calgary and at the University of Manitoba. His research interests include digital signal and image processing, biomedical signal and image analysis, and computer-aided diagnosis. Dr. Rangayyan is the author of two well cited textbooks: “Biomedical Signal Analysis” (IEEE/ Wiley, 2002, 2015) and “Biomedical Image Analysis” (CRC, 2005). He has published over 430 papers in journals and conferences, and coauthored several books. He has supervised and co-supervised 17 Doctoral theses, 27 Master theses, and more than 50 researchers at various levels. He has been recognized with the 2013 IEEE Canada Outstanding Engineer Medal, the IEEE Third Millennium Medal (2000), and elected as Fellow, IEEE (2001); Fellow, Engineering Institute of Canada (2002); Fellow, American Institute for Medical and Biological Engineering (2003); Fellow, SPIE (2003); Fellow, Society for Imaging Informatics in Medicine (2007); Fellow, Canadian Medical and Biological Engineering Society (2007); Fellow, Canadian Academy of Engineering (2009); and Fellow, Royal Society of Canada. He has lectured in more than 20 countries and has held the Visiting Professorships with more than 15 universities world-wide. He has been invited as a Distinguished Lecturer by IEEE EMBS in Toronto and as an invited lecture at the IEEE International Summer School in France.

Sridhar (Sri) Krishnan is a Professor in the Department of Electrical and Computer (ECE) Engineering and the Associate Dean of Research, Development and External Partnerships for the Faculty of Engineering and Architectural Science (FEAS) at Ryerson University. He is also a Canada Research Chair in Biomedical Signal Analysis. Dr. Krishnan received his Ph. D. in ECE from the University of Calgary in 1999. Dr. Krishnan’s research interests include adaptive signal representations and analysis and their applications in biomedicine, multimedia (audio), and biometrics. He has published over 280 papers in refereed journals and conferences, filed 8 invention disclosures, and has been granted one US patent. He has received over 20 awards and certificates of appreciation for his contributions in research and innovation. Dr. Krishnan has been invited to present in more than 30 international conferences and workshops. He has supervised and trained 10 Post-doc fellows, 9 Doctoral theses, 29 Master theses, 9 Master projects, 39 Research Assistants (RA), and 17 Visiting RAs. Dr. Krishnan is a Fellow of the Canadian Academy of Engineering. Dr. Krishnan is also the Co-Director of the Institute for Biomedical Engineering, Science and Technology (iBEST) and an Affiliate Scientist at the Keenan Research Centre in St. Michael’s Hospital, Toronto.

Karthi Umapathy is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at Ryerson University. Dr. Umapathy received his Ph. D. in ECE from the University of Western Ontario in 2006. During his graduate studies he held the prestigious NSERC CGS and PGS awards. He was an inaugural Ryerson postdoctoral fellow and was also the recipient of the Heart & Stroke Richard Lewar Centre of Excellence research fellowship award. Dr. Umapathy’s research interests include biomedical signal and image analysis, time-frequency analysis, digital signal processing, cardiac electrophysiology, and magnetic resonance imaging. One of his recent projects involves studying the electrical activity on the surface of the human heart during ventricular fibrillation to reduce sudden cardiac death in North America. Dr. Umapathy brings with him a vast knowledge in Magnetic Resonance Imaging (MRI) from his works in Philips Medical Systems India. As the Area Manager and Country Specialist for Philips, he led many successful MRI projects in India and Japan.

April Khademi recently jointed Ryerson University as an Assistant Professor in in the Department of Electrical and Computer (ECE). Dr. Khademi received her Ph.D. in Biomedical Engineering from the University of Toronto. Dr. Khademi’s research interests include medical image analysis techniques for radiology and pathology images, generalized grayscale and colour image processing methodologies, biomedical signal processing, machine learning, personalized medicine, computer-aided diagnosis, Big Data analytics, Magnetic Resonance Imaging, and digital pathology. Dr. Khademi was an Assistant Professor in Biomedical Engineering at University of Guelph. She was the Senior Scientist and Innovation Specialist at PathCore Inc. Dr. Khademi also brings with her the industry and healthcare experience from her works at GE Healthcare, Toronto Rehabilitation Institute, and Sunnybrook Health Sciences Centre. Dr. Khademi is the recipient of more than 10 awards including Governor General’s Gold Medal for her Masters thesis and the prestigious NSERC-CGSD3. She has over 40 publications, and has been invited to speaker in more than 25 conferences, seminars and workshops.

Naimul Khan recently jointed Ryerson University as an Assistant Professor in the Department of Electrical and Computer Engineering (ECE). Dr. Khan received his Ph. D. in ECE from Ryerson University in 2014. Dr. Khan’s research interests include designing interactive methods for visual computing that can bridge the gap between end-users and systems. He has contributed to the fields of machine learning, computer vision, and medical imaging. Dr. Khan was previously a research engineer at Sunnybrook Research institute, and an R&D Manager at AWE Company Ltd. At AWE, he led the Fort York Time Tablet project in partnership with the City of Toronto to create an augmented reality exhibit of the history of the Fort. The project has garnered significant media and public attention. Dr. Khan was the recipient of several awards including the OCE TalentEdge Postdoctoral Fellowship, the Ontario Graduate Scholarship, and Queen Elizabeth II Graduate Scholarship in Science & Technology.

Teodiano Bastos is a Full Professor in the Department of Electrical Engineering at Universidade Federal do Espírito Santo and a Level 1 Researcher at CNPq. Dr. Bastos received his Ph. D. in Electrical and Electronic Engineering from the Universidad Complutense de Madrid, Spain, in 1994. Dr. Bastos’ research interests are in Electronic Measurement and Control Systems, including sensors, control, mobile robots, industrial robotics, rehabilitation robotics, assistive technology, and biological signal processing. Dr. Bastos has over 500 publications in journals, conferences, and books

Factory Tour of Northern Transformer In Vaughan

Wednesday, May 17th, 2017

Friday June 30, 2017 at 2:00 p.m. IEEE Toronto is proud to present a facility tour of Northern Transformer in Vaughan.

The IEEE Toronto Industry Relations Committee and Power & Energy Chapter would like to thank Northern Transformer for hosting this very successful tour and their amazing hospitality.

Day & Time: Friday June 30, 2017
2:00 p.m. – 4:00 p.m.

Location: Northern Transformer
245 McNaughton Rd. E.
Maple, Ontario
Canada L6A 4P5

Register: https://events.vtools.ieee.org/m/45343

Contact: Hugo Sanchez

Organizers: IEEE Toronto Industry Relations Committee, Power & Energy Chapter
Co-sponsored by Hugo Sanchez

Abstract: Northern Transformer, founded in Concord, Ontario in 1981, is a North American manufacturer of liquid filled transformers of the highest quality and reliability serving the North American market. Northern Transformer’s primary focus is the design and manufacture of liquid filled Power Transformers, Grounding Transformers and Specialty Transformers ranging from 500kVA to 115MVA with a maximum primary voltage of 160kV (650 BIL).

Attendees are encouraged to bring their own safety shoes and glasses to provide themselves with an additional layer of safety. However, the safety shoes and glasses are not mandatory to attend this tour.

Pictures from Event:

Designing a Gamification Course for an Higher Education Audience

Friday, May 12th, 2017

Friday May 26, 2017 at 1:30 p.m. Dr. Sergio A. A. Freitas, Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil, will be presenting “Designing a Gamification Course for an Higher Education Audience”.

Day & Time: Friday May 26, 2017
1:30 p.m. – 3:30 p.m

Speaker: Dr. Sergio A. A. Freitas
Associate Professor in the Gama Engineering College (FGA)
Director of the Distance Education Center
University of Brasilia (UnB), Brazil

Location: Ryerson University
George Vari Centre for Computing and Engineering
Room: ENG 288
245 Church Street
Toronto, Ontario M5B 2K3

Contact: Dr. Maryam Davoudpour

Organizers: IEEE Toronto (WIE, Measurement/Instrumentation-Robotics, Magnetics chapters), Computer Science Department of Ryerson University

Abstract: The gamification of activities in classrooms has become of great interest in higher education. Today’s students have a lot of experience in virtual environments and games, and researchers who have tested/used gamification in their classrooms have reported an increase in student engagement and retention.

This course presents a four step process to create a gamified course: Identifying the students’ profile (step 1) and the gamification object (step 2), creating the gamification project (step 3), and finally, implementing the gamification project (step 4).

At the end of the workshop it is expected that the participant will be able to design a basic gamified course.

Biography: Dr. Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB), Brazil. He is also the coordinator of research in the FGA Software Factory Laboratory. His current research projects focus on interdisciplinary studies and applications of learning methodologies on engineering undergraduate courses, and software engineering methodologies. Prof. Freitas areas of expertise include gamification, PBL, virtual learning environments in education and training, and software engineering methodologies. Dr. Freitas has coauthored journal publications, conference articles and book chapters in the aforementioned topics, and has coordinated and participated on many projects from various funding agencies CNPq, FAP-ES, FAP-DF, Cebraspe, and Brazilian Federal Ministries.

7th Annual E3 Symposium

Thursday, May 4th, 2017

Friday May 12, 2017 the School of Engineering Technology and Applied Science and the Centennial Energy Institute invite you to our 2017 E3 Symposium: The Future is Smart: The Transformation of Canadian Manufacturing. This event will bring together advanced manufacturing innovators from across a number of sectors in the economy. The event will feature industry titans sharing best practices.

Day & Time: Friday May 12, 2017
8:00 am to 8:45 am – Registration and Breakfast.
9:00 am to 4:00 pm – Speakers & Sessions.

Location: Centennial College: Progress Campus
Library Building Auditorium
941 Progress Avenue, Toronto, Ontario

Event Page: http://www.centennialcollege.ca/programs-courses/schools/school-of-engineering-technology-and-applied-science/e3-symposium/

Contact: Maryam Davoudpour

RF Integrated Harmonic Oscillators in Silicon Technologies

Thursday, May 4th, 2017

Friday June 9, 2017 at 2:10 p.m. IEEE Distinguished Lecturer and Professor at Lund University Pietro Andreani will be presenting “RF Integrated Harmonic Oscillators in Silicon Technologies”.

Event Media:
Event Slides
Recording of the Event

Day & Time: Friday June 9, 2017
2:10 p.m. – 3:30 p.m.

Speaker: Dr. Pietro Andreani
Professor, Lund University
IEEE Distinguished Lecturer and Professor

Location: University of Toronto
40 St. George Street
Toronto, Ontario Canada, M5S 2E4
Bahen Center of Information Technology
Room Number: B024

Free for everyone. Complimentary refreshments will be provided.

Contact: Dustin Dunwell

Organizers: Solid State Circuits Society

Abstract: As one of the truly fundamental analog functions in any wireless/wireline application, the voltage-controlled oscillator keeps attracting a great deal of well-deserved attention. In this presentation, we will investigate the mechanisms of phase noise generation in harmonic oscillators, including some recently published general results, after which we will analyze both classical and emergent oscillator architectures, describing pros and cons for each. Various techniques to achieve a very wide oscillator tuning range will be illustrated as well.

Biography: Pietro Adreani received the M.S.E.E. degree from the University of Pisa, Italy, in 1988, and the Ph.D. degree from Lund University, Sweden, in 1999. Between 2001 and 2007 he was chair professor at the Center for Physical Electronics, Technical University of Denmark. From 2005 to 2014 he had a 20% position as analog/RF designer at Ericsson AB in Lund, Sweden. Since 2007, he has been associate professor at the department of Electrical and Information Technology (EIT), Lund University, working analog/mixed-mode/RF IC design. He is also the head of the VINNOVA Center for System Design on Silicon, hosted by EIT. He has been a TPC member of ISSCC (2007-2012), is a TPC member of ESSCIRC (chair of the Frequency Generation subcommittee since 2012, TPC chair in 2014) and RFIC, and Associate Editor of JSSC. He has been an IEEE SSCS Distinguished Lecturer since 2017. He has authored numerous papers on harmonic oscillators and phase noise.

High Power Density Power Electronics in Aerospace Applications

Tuesday, April 25th, 2017

Friday May 19, 2017 at 3:00 p.m. IAS & PELS Joint Chapter are inviting you to the technical event “High Power Density Power Electronics in Aerospace Applications”, presented by Dr. Chushan Li, Postdoctoral Research Fellow in Ryerson University.

Day & Time: Friday May 19, 2017
3:00 p.m. – 4:10 p.m.

Speaker: Dr. Chushan Li
Postdoctoral Research Fellow in Ryerson University

Location: University of Toronto
40 St.George Street
Toronto, Ontario Canada, M5S 2E4
Bahen Center of Information Technology
Room Number: BA 7180

All IEEE members and non-members are welcome to participate with no admission charge.

Register: https://events.vtools.ieee.org/meeting_registration/register/45053

Contact: Sanaz Kanani

Organizers: IAS & PELS Joint Chapter, Toronto Section

Abstract: In aerospace industry, the More Electric Aircraft (MEA) architecture is emerging, which employs the concept of electrical power for driving aircraft subsystems currently powered by hydraulic or pneumatic means including utility and flight control actuation, environmental control system, lubrication and fuel pumps, and numerous other utility functions.

In this seminar, Dr. Chushan Li presents an overview of More Electric Aircraft, and highlights the researches on developing high power density power electronics converters for aerospace applications. These researches enable the MEA applications and significantly reduce the weight, size, and life-cycle-cost of the overall system, improve reliability and result in ease of manufacturing and maintenance. The results are also applicable to wide applications in general industry. Finally, discussions related challenges and potential opportunities are given to show the research potentials in this area.

Biography: Dr. Chushan Li received the B.E.E. degree and Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2008 and 2014, respectively. Currently, he is a postdoctoral fellow in Department of Electrical and Computer Engineering, Ryerson University, Canada.

From April to September in 2008, he was an internship student with the Power Application Design Center in National Semiconductor (Hong Kong) Co.Ltd. From December 2010 to October 2011, he was a visiting scholar with the Freedom Center in North Carolina State University. From December 2013 to June 2014, he was a research assistant in Hong Kong Polytechnic University.

His research interest includes high power density power converter design and AC-DC power conversion. He has published 31 technical papers and held 7 patents. In 2013, he has received First-Class National Scholarship for Graduate Student in China.

Engineering the Internet of Things – Digital Twin Seminar

Thursday, April 13th, 2017

Friday April 28, 2017 at 9:00 a.m. IEEE Toronto and SimuTech Group will be hosting the seminar “Engineering the Internet of Things – Digital Twin”.

Day & Time: Friday April 28, 2017
9:00 a.m. – 4:00 p.m.

Location: Ryerson University
George Vari Centre for Computing and Engineering
Room: ENG 288
245 Church Street
Toronto, Ontario M5B 2K3

Cost: Free including lunch

Register: http://go.simutechgroup.com/ieee-iot-digital-twin-toronto

Contact: SimuTech Group – Mohsen Tayefeh
IEEE Toronto – Dr. Maryam Davoudpour

Organizers: IEEE Toronto (WIE, Signals & Computational Intelligence, Measurement/Instrumentation-Robotics, Magnetics chapters), Computer Science Department of Ryerson University, SimuTech Group (ANSYS Elite Channel partner)

Abstract: High-tech–industry product development teams routinely use coupled multiphysics software to analyze the trade-offs among speed, bandwidth, signal integrity, power integrity, thermal performance and EMI/EMC.

The Internet of Things is a network of smart products, or “things”, that use embedded sensors, software, and electronics to communicate with each other over a network. The communication data can be analyzed by cloud based software to derive actionable information, leading to predictive and prescriptive outcomes.

In this seminar, the following topics will be discussed:

– Engineering the Internet of Things
– 5 Engineering Challenges for Smart Product Development
– Case Study: Search and Rescue Drone-Satellite System
– Signal Integrity/EMI/EMC, Human body, Federal Regulations
– User experience – Wearable devices (Multiphysics Simulation)
– Digital Twin – GE and ANSYS collaboration
– Case Study: prescriptive maintenance case study
– Lunch
– RF Antenna placement
– Step by step workshop – Antenna analysis
– PCB design – Power Integrity
– Thermal management (CFD)
– Networking, Door prize/draw (Drone)

Trends of the Smart Grid Development

Friday, April 7th, 2017

Friday May 12, 2017 at 2:00 p.m. IEEE Fellow and Professor Wei-Jen Lee, Electrical Engineering Department University of Texas at Arlington, will be presenting “Trends of the Smart Grid Development”.

Day & Time: Friday May 12, 2017
2:00 p.m. – 3:00 p.m.

Speaker: Professor Wei-Jen Lee
Electrical Engineering Department University of Texas at Arlington
Director of the Energy Systems Research Center
IEEE Fellow

Location: Bahen Center of Information Technology, Room: BA 7180
University of Toronto
40 St. George Street
Toronto, Ontario
Canada M5S 2E4

Register: https://events.vtools.ieee.org/meeting_registration/register/44907

Contact: Hoda Youssef

Organizers: IEEE Toronto IAS & PELS Joint Chapter

Abstract: The electrical power system in the US has been named as “the supreme engineering achievement of the 20th century” by the National Academy of Sciences. While the power system is a technological marvel, it is also reaching the limit of its ability to meet the nation’s electricity needs. In addition, our nation is moving into the digital information age that demands higher reliability from the nation’s aging electrical delivery system.

The modernization of the electricity infrastructure leads to the concept of “smart grid”. A comprehensive smart grid design should cover both top-down and bottom-up approaches. For the current centralized generation and transmission system, upgrading the power delivery infrastructure, enforcing the system security requirement, and increasing interoperability are well known techniques to improve the reliability and the controllability of the power system. For the bottom-up approach, one of the most important features is its ability to support a more diverse and complex network of energy technologies. Specifically, it will be able to seamlessly integrate an array of locally installed, distributed power sources with smaller CO2 footprint, such as fuel cells, photovoltaic, and wind generation, into the power system.

This presentation discusses the opportunities and challenges for the development of Smart Grid, highlights the smart grid related researches that I have been involved recently, and explores the possibility for future collaborations. The presentation concludes with the listing of issues needed to be addressed to ensure successful integration procedures that will eventually create new structures of efficient, modular and environmentally responsive electricity infrastructure that will have an impact nationally as well as globally.

Biography: Professor Wei-Jen Lee received the B.S. and M.S. degrees from National Taiwan University, Taipei, Taiwan, R.O.C., and the Ph.D. degree from the University of Texas, Arlington, in 1978, 1980, and 1985, respectively, all in Electrical Engineering.

In 1986, he joined the University of Texas at Arlington, where he is currently a professor of the Electrical Engineering Department and the director of the Energy Systems Research Center.
He has been involved in the revision of IEEE Std. 141, 339, 551, 739, 1584, and dot 3000 series development. He is the Vice President of the IEEE Industry Application Society. He is an editor of IEEE Transactions on Industry Applications and IAS Magazine, editorial board member of Journal of Modern Power Systems and Clean Energy (MPCE) and CSEE Journal of Power and Energy Systems, and guest editor of IEEE Transactions on Smart Grid. He has been inducted as a member of Academy of Distinguished Scholar at the University of Texas at Arlington since 2012. He is the project manager of IEEE/NFPA Collaboration on Arc Flash Phenomena Research Project.

Prof. Lee has been involved in research on utility deregulation, renewable energy, smart grid, microgrid, energy internet and virtual power plants (VPP), arc flash hazards and electrical safety, load and wind capacity forecasting, power quality, distribution automation and demand side management, power systems analysis, online real-time equipment diagnostic and prognostic system, and microcomputer based instrument for power systems monitoring, measurement, control, and protection. He has served as the primary investigator (PI) or Co-PI of over one hundred funded research projects with the total amount exceed US$12 million dollars. He has published more than one hundred and thirty journal papers and two hundred forty conference proceedings. He has provided on-site training courses for power engineers in Panama, China, Taiwan, Korea, Saudi Arabia, Thailand, and Singapore. He has refereed numerous technical papers for IEEE, IET, and other professional organizations.

Damped AC Partial Discharge Testing for Medium Voltage Underground Cables

Friday, April 7th, 2017

Friday April 28, 2017 at 10:00 a.m. Philipp Legler will be presenting “Damped AC Partial Discharge Testing for Medium Voltage Underground Cables”.

Day & Time: Friday April 28, 2017
10:00 a.m. – 12:00 p.m.

Speaker: Philipp Legler

Location: Megger, 550 Alden Rd
Markham, ON L3R 3L5, Canada

Contact: Ali Naderian

Organizers: IEEE DEIS Toronto Chapter Event

Abstract: Partial discharge (PD) measurements are increasingly used as a reliable and non-destructive diagnostic method for detecting weak spots in the insulation of underground cables. Partial discharge measurements are also routinely used in laboratories for testing cable reels prior to commissioning and in the field to verify installation quality.

The most important factor to consider when choosing a test frequency is that the partial discharge characteristics at the new frequency must be like those at 50/60 Hz, otherwise the results cannot be reliably interpreted. This is especially true when measuring partial discharge inception voltage (PDIV), the voltage at which partial discharge first occurs.

Over the past 10 years, the damped alternating current (DAC) technique has been established as a very effective method for partial discharge testing. This method is one of the voltage shapes listed for PD testing in IEEE 400.3: “Guide for Partial Discharge Testing of Shielded Power Cable Systems in a Field Environment”. In this presentation, the concept of DAC PD test will be discussed and some practical examples will be presented.