Events Search and Views Navigation

Event Views Navigation

Today

7th Annual E3 Symposium

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

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

Trends of the Smart Grid Development

Room: BA 7180, 40 St. George Street, Toronto, Ontario Canada M5S 2E4

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.

High Power Density Power Electronics in Aerospace Applications

Bahen Center of Information Technology, Room Number: BA 7180, 40 St. George Street

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.

Printable Flexible Wearable Electronics Symposium (CPES 2017)

Centennial College

IEEE Canada is a Supporting Partner of CPES2017, Canada’s premier conference and trade show exhibition for printable, flexible and wearable electronics (PE). In recognition of this partnership support, the CPES organizing committee is extending a special offer to IEEE members. Date: May 24-26, 2017 Location: Centennial College, Toronto Using the coupon code cpeia-partner2017b IEEE members can register for CPES at 15 per cent off the regular non-CPEIA member rate of $795 + HST. This represents a value of $119. The deadline to use this code and secure the discount is April 28, 2017. This is a great opportunity to engage with the technology developers and integrators that are accelerating the growth and adoption of PE in various market verticals that are relevant to Canadian industry and technology clusters across the country. Please note that this offer cannot be combined with the CPES2017 early bird registration rate or the student rate. It only applies to Day 1 and Day 2 of the conference. If you wish to attend the Master Classes or Mentoring & Financing Sessions on Day 3, you must pay the regular fee for those activities. To register and take advantage of this discount, please visit https://cpes2017.ca/registration/ What is CPES2017? CPES2017 is the place for technology developers, industrial companies and end-users to meet and discuss how they can work together to commercialize new products and applications for printable, flexible and wearable electronics. Academic researchers can discover how they can link their research to market needs and opportunities. The conference focuses on markets such as Intelligent Packaging, Intelligent Buildings, Aerospace and Defense, Automotive and Industrial Applications, Health and Wellness, Intelligent Documents, and Consumer Electronics and Wearables. Come to learn, network and develop partnerships for collaboration and business development. You can learn more at www.CPES2017.ca May 24-26, 2017, Canadian Printable Electronics Industry Association (CPEIA) will be bringing together Canadian PE industry for their annual symposium at Centennial College, Toronto. With 30+ speakers and over 200 participants from 120 organizations in attendance, CPES2017 is Canada’s premier meeting ground for technology developers, industrial companies and end-users to discuss how they can work together to manufacture and commercialize new products and applications. Academic researchers can showcase their research and discover how they can link it to market needs and opportunities. Day 1 of the program features Key Applications, while Day 2 is dedicated to Manufacturing. The optional Day 3 offers master classes, a financing session and mentoring. Contact: Hugo Sanchez-Reategui at hugosanreategui@ieee.org Organizers: CPEIA Register: https://cpes2017.ca/registration/ Note: Using the coupon code cpeia-partner2017b IEEE members can register for CPES at 15 per cent off the regular non-CPEIA member rate of $795 + HST. This represents a value of $119. The deadline to use this code and secure the discount is April 28, 2017. The coupon code cannot be combined with the Student rate $295 + HST. If you wish to attend the Master Classes or Mentoring & Financing Sessions on Day 3, you must pay the regular fee for those activities. Abstract: CPES2017 is the place for technology developers, industrial companies and end-users to meet and discuss how they can work together to commercialize new products and applications for printable, flexible and wearable electronics. Academic researchers can discover how they can link their research to market needs and opportunities. The conference focuses on markets such as Intelligent Packaging, Intelligent Buildings, Aerospace and Defense, Automotive and Industrial Applications, Health and Wellness, Intelligent Documents, and Consumer Electronics and Wearables. Come to learn, network and develop partnerships for collaboration and business development. You can learn more at www.CPES2017.ca

Biomedical Signal and Image Analysis Workshop

ENG 102, George Vari Engineering and Computing Centre, 245 Church Street, Toronto

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

Designing a Gamification Course for an Higher Education Audience

George Vari Centre for Computing and Engineering, Room: ENG 288

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.

InAs Quantum Dot Micro-disk Lasers Grown on Exact (001) Si Emitting at Communication Wavelengths

Room BA 1220 40 St. George Street, Toronto, ON M5S 2E4

Wednesday May 31, 2017 at 2:10 p.m. Kei May Lau, Fang Professor of Engineering and Chair Professor at the Hong Kong University of Science and Technology will be presenting “InAs Quantum Dot Micro-disk Lasers Grown on Exact (001) Si Emitting at Communication Wavelengths”. Day & Time: Wednesday May 31, 2017 2:10 p.m. – 3:00 p.m. Speaker: Kei May Lau Fang Professor of Engineering and Chair Professor Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Location: Room BA 1220 40 St. George Street Toronto, ON M5S 2E4 Contact: Junho Jeong Organizers: IEEE Toronto Photonics Society Abstract: To support an energy-efficient optical interconnect technology enabled by silicon photonics, development of low-energy-consumption active devices and the corresponding integration technology is needed. Most communication wavelength lasers with excellent device performance have been grown on III-V substrates and bonded to silicon. For integration, there are considerable advantages in a technology that allow growth and fabrication of such lasers on III-V/ Si compliant substrates. Quantum dot (QD) active layers grown on lattice-matched substrates have already shown their capability for lasers with low-threshold densities and temperature-independent operation. In addition, the reduced sensitivity of QD to defects and their unique capability of filtering dislocations make them an ideal candidate as the gain medium of hetero-integrated III-V on Si optical sources. In this talk, I will discuss the growth of multi-stack QDs on compliant substrates by MOCVD. Fabrication and laser characteristics of whispering-gallery-mode (WGM) micro-disk lasers using the grown epitaxial structures will also be discussed. Initial demonstration was achieved using simple a colloidal lithography process in combination with dry and wet-etching. The micro-disk lasers were one to four microns in diameter, with single mode lasing at either 1.3 or 1.55 μm, depending on the barrier/cladding system. With smooth sidewalls and sufficient undercut by wet etching of the pedestal, the air-cladded MDs exhibit ultra-low thresholds of a few mW by optical pumping. Preliminary results of electrically-pumped micro-lasers will also be presented. These energy-efficient microlasers are excellent candidates for on-chip integration with silicon photonics. Biography: Professor Kei May Lau is Fang Professor of Engineering at the Hong Kong University of Science and Technology (HKUST). She received the B.S. and M.S. degrees in physics from the University of Minnesota, Minneapolis, and the Ph.D. degree in Electrical Engineering from Rice University, Houston, Texas. She was on the ECE faculty at the University of Massachusetts/Amherst and initiated MOCVD, compound semiconductor materials and devices programs. Since the fall of 2000, she has been with the ECE Department at HKUST. She established the Photonics Technology Center for R&D effort in III-V materials, optoelectronic, high power, and high-speed devices. Professor Lau is a Fellow of the IEEE, and a recipient of the US National Science Foundation (NSF) Faculty Awards for Women (FAW) Scientists and Engineers (1991) and Croucher Senior Research Fellowship (2008). She is an Editor of the IEEE EDL and Associate Editor of Applied Physics Letters.

Women in Robotics: Building Smart Robots with AI

To be Announced

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/

Robust Beamforming Design: A New Approach

Room BA 2145. 40 St. George Street. Toronto, ON M5S 2E4

Wednesday June 7, 2017 at 2:00 p.m. Mostafa Medra, PhD. Candidate, will be presenting “Robust Beamforming Design: A New Approach”. Day & Time: Wednesday June 7, 2017 2:00 p.m. – 3:00 p.m. Speaker: Mostafa Medra, PhD. Candidate Dept. of Electrical & Computer Engineering McMaster University Location: Room BA 2145 40 St. George Street Toronto, ON M5S 2E4 Contact: Eman Hammad Event Link: https://events.vtools.ieee.org/m/45778 Abstract: Due to the increasing demand for higher data rates, spatial multiplexing received a lot of attention. The ability of a base station to do beamforming so that it can serve multiple users at the same time slot and frequency can provide significantly higher rates. When the channel state information is assumed to be perfectly known at the transmitter, designs as the zeroforcing, regularized zero-forcing and maximum ratio transmission can be applied. Those conventional methods are typically of low complexity. In reality the channel state information is estimated and estimation errors are inevitable. Many beamforming designs tried to incorporate the channel uncertainty model into the design problem. While those robust designs normally work better than the conventional designs, their computational complexity is usually much higher. Today we will provide a new approach to dealing with robust beamforming design that is of low- complexity and performs significantly better than both conventional and current robust methods. Biography: Mostafa Medra (S’06-M’16) received the B.Sc. and M.Sc. degrees, both in Electrical Engineering, from Alexandria University, Alexandria, Egypt in 2009 and 2013, respectively. Since the fall of 2013, he has been working towards his Ph.D. degree at McMaster University, Hamilton, Ontario, Canada. He held a research position with the Spirtonic research team in 2012-2013, working on digital signal processing for non-destructive testing using ultrasonic waves. His current research interests include MIMO communications, optimization, wireless communications and signal processing.

RF Integrated Harmonic Oscillators in Silicon Technologies

Bahen Center of Information Technology, Room Number: B024

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.

IEEE ComSoc Distinguished Lecture: Topology Preserving Maps: A Localization-Free Approach for 2-D and 3-D IoT Subnets

Room BA 2135, 40 St. George Street, Toronto, ON M5S 2E4

Tuesday June 13, 2017 at 3:00 p.m. Prof. Anura Jayasumana, Distinguished Lecturer of the IEEE Communications Society, will be presenting a distinguished lecture “Topology Preserving Maps: A Localization-Free Approach for 2-D and 3-D IoT Subnets”. Note refreshments begin at 2:00 p.m. Day & Time: Tuesday June 13, 2017 2:00 p.m. – 3:00 p.m. Refreshments 3:00 p.m. – 4:00 p.m. Lecture Speaker: Prof. Anura Jayasumana Dept. of Electrical & Computer Engineering Colorado State University, Ft. Collins, CO 80523 USA Location: Room BA 2135 40 St. George Street Toronto, ON M5S 2E4 Contact: Eman Hammad Event Link: https://events.vtools.ieee.org/m/45777 Abstract: Driven by higher potency and lower cost/size of devices capable of sensing, actuating, processing and communicating, the Internet of Things and of Everything promises to dramatically increase our ability to embed intelligence in the surroundings. Subnets of simple devices such as RFIDs and tiny sensors/actuators deployed in massive numbers in 2D and complex 3D spaces will be a key aspect of this emerging infrastructure. Most techniques for self-organization, routing and tracking in such networks rely on distances and localization in the physical domain. While geographic coordinates fit well with our intuitions into physical spaces, their use is not feasible in complex environments. Protocols based on geographical coordinates do not scale well to 3D either. We present a novel localization-free coordinate system, the Topology Coordinates (TC). Interestingly, geographic features such as voids and shapes are preserved in the resulting Topology-Preserving Maps (TPMs) of 2-D and 3-D networks. Ability to specify virtual cardinal directions and angles in networks is a radical change from the traditional approaches. A novel self-learning algorithm is presented to provide network awareness to individual nodes, a step toward large-scale evolving sensor networks. Application of TCs to social networking will be illustrated. Biography: Anura Jayasumana is a Professor of Electrical and Computer Engineering at Colorado State University, where he also holds a joint appointment in Computer Science. He is the Associate Director of Information Sciences & Technology Center at Colorado State. He is a Distinguished Lecturer of the IEEE Communications Society. His research interests span high-speed networking to wireless sensor networking, and anomaly detection to DDoS defense. He has served extensively as a consultant to industry ranging from startups to Fortune 100 companies. He received the B.Sc. degree from the University of Moratuwa, Sri Lanka and M.S. and Ph.D. degrees in Electrical Engineering from the Michigan State University. Prof. Jayasumana has supervised 20+ Ph.D. and 50+ M.S. students, holds two patents, and is the co-author over 250 papers. He is the recipient of the Outstanding Faculty Award from the Mountain States Council of the American Electronics Association.

Large-Scale Analytics and Machine Learning for Biomedical Data Types

Room ENG288, 245 Church St, Toronto, M5B 1Z4

Wednesday June 28, 2017 at 5:00 p.m. Dr. Shiva Amiri, CEO of BioSymetrics Inc, will be presenting “Large-Scale Analytics and Machine Learning for Biomedical Data Types”. Day & Time: Wednesday June 28, 2017 5:00 p.m. – 6:00 p.m. Speaker: Dr. Shiva Amiri CEO of BioSymetrics Inc Toronto, Ontario, Canada Location: Room ENG288 Department of Computer Science Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Alireza Sadeghian, Alex Dela Cruz Organizers: Signals & Computational Intelligence Chapter, WIE Abstract: The scale of data being generated in medicine and research can easily overwhelm typical analytic capabilities. This is particularly true with MRI/fMRI scanning, genomics data, streaming/wearables data in addition to other clinical data types, especially if in combination. Challenges include 1) large file sizes often in heterogeneous formats 2) currently no standard Protocol exists for extraction of standardized characteristics, and 3) traditional methods for group-wise comparison can often result in spurious findings. The talk will address these challenges by discussing customized processing pipelines built for multiple data types in biomedicine, which enable effective machine learning and other types of analytics on these datasets. This approach leverages the rapid model building capabilities of our real-time machine learning software to iterate through normalization parameters for each data type and disease class. In addition, this platform allows easy integration between the various medical data types (genome sequence, phenotypic, and metabolic data) allowing generation of more comprehensive disease classification models. The ability to standardize and pre-process multiple types of biomedical data for machine learning, no matter the source and type, and effectively combine it with other data types is a powerful capability and holds promise for the future of diagnostics and precision medicine. Biography: Shiva Amiri is the CEO of BioSymetrics Inc. where they are developing a unique real-time machine learning technology for the analysis of massive data in biomedicine. BioSymetrics specializes in providing optimized pipelines for complex data types and effective methods in the analytics of integrated data. Prior to BioSymetrics she was the Chief Product Officer at Real Time Data Solutions Inc., she has led the Informatics and Analytics team at the Ontario Brain Institute, where they developed Brain-CODE, a large-scale neuroinformatics platform across the province of Ontario. She was previously the head of the British High Commission’s Science and Innovation team in Canada. Shiva completed her Ph.D. in Computational Biochemistry at the University of Oxford and her undergraduate degree in Computer Science and Human Biology at the University of Toronto. Shiva is involved with several organisations including Let’s Talk Science and Shabeh Jomeh International.