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  • Introduction To Robotics and Automation

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

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

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

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

  • Big Data Based Recommendation Approaches for Healthcare

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

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

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

    Humber College North Campus, J Building

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

  • Dr. Prabha Kundur’s Seminar on Sustainable Electric Power Systems in the 21st Century

    Room 1105, Sanford Fleming building, 10 King’s College Rd, Toronto, Ontario M5S 3G8

    Wednesday, June 6th at 6:00 p.m., Dr. Prabha Kundur, President of Kundur Power Systems Solutions Inc., will be presenting a seminar on “Sustainable Electric Power Systems in the 21st Century”. Day & Time: Wednesday, June 6, 2018 6:00 p.m. ‐ 8:00 p.m. Speaker: Dr. Prabha Kundur President of Kundur Power Systems Solutions Inc. Location: 10 King’s College Rd Toronto, Ontario Canada M5S 3G8 Building: Sanford Fleming building Room Number: Room 1105 Contact: Omid Alizadeh Organizer: Power & Energy Chapter, University of Toronto Student Branch Register: https://events.vtools.ieee.org/m/172987 Abstract: IEEE Toronto is honoured to have Dr. Prabha S. Kundur give a presentation on Sustainable Electric Power Systems in the 21st Century: Requirements, Challenges and the Role of Intelligent Systems Technologies, on Wednesday, June 6th, 6:00 pm-8:00 pm, Room 1105 at Sanford Fleming building, University of Toronto. Sustainability of electric power systems requires balancing the business across three areas: economic, social and environmental. This will have a profound impact on how power systems are planned, built and operated in the future. In the evolving electricity supply industry environment, the challenges are to produce, transmit, and use energy in an environmentally friendly manner, to reduce costs by improving operating efficiency and business practices, and enhance the reliability and quality of power supply. In particular, there will be increased focus on improving the security and reliability of power systems while addressing environmental concerns, such as greenhouse gas emissions and global warming issues. There will also be greater emphasis on “smart” use of energy. Research, development and application of intelligent systems technologies will play a major role in shaping the future directions of power systems in this regard. This presentation will describe these changes affecting the electric power industry and highlight new technologies that will influence the changes. Light refreshments will be provided. Biography: Prabha Kundur holds a Ph.D. in Electrical Engineering from the University of Toronto and has over 40 years of experience in the electric power industry. He is currently the President of Kundur Power system Solutions Inc., Toronto, Ontario. He served as the President and CEO of Powertech Labs Inc., the research and technology subsidiary of BC Hydro, from 1994 to 2006. Prior to joining Powertech, he worked at Ontario Hydro for nearly 25 years and held senior positions involving power system planning and design. He has also served as Adjunct Professor at the University of Toronto from 1979 to 2017 and at the University of British Columbia from1994 to 2006. He is the author of the book Power System Stability and Control (McGraw-Hill, 1994), which is a standard modern reference for the subject. He has performed extensive international consulting related to power system planning and design, and has delivered advanced level technical courses for utilities, manufacturers and universities around the world. Dr. Kundur has a long record of service and leadership in the IEEE. He has chaired numerous committees and working groups of the IEEE Power & Energy Society and was elected a Fellow of the IEEE in 1985. He served as the Chair of the IEEE Power System Dynamic Performance Committee from 2001 to 2003. From 2004 to 2010, he served as a member of the IEEE PES Executive Committee and as the PES Vice-President for Education. He is the recipient of several IEEE awards, including the 1997 IEEE Nikola Tesla Award, 2005 IEEE PES Charles Concordia Power System Engineering Award, and the 2010 IEEE Medal in Power Engineering. Dr. Kundur was elected as a Fellow of the Canadian Academy of Engineering in 2003 and as a Foreign Member of the US National Academy of Engineering in 2011. He has been awarded two honorary degrees: Doctor Honoris Causa by the University Politechnica of Bucharest, Romania in 2003, and Doctor of Engineering, Honoris Causa by the University of Waterloo, Canada in 2004.

  • Introduction to Robotics Class 3: Introduction to Encoders and Feedback

    Humber North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Date & Time: Monday June 11th, 2018 3:30 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Introduction to Microcontrollers

    Humber North Campus, J Building

    The workshop is to introduce students to Ardunio microcontroller programming, a way to get the knowledge about microcontrollers. This involves hardware component and software components. Date & Time: Wednesday June 13th, 2018 2:30 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Advanced Sensor Concepts, Exploitation, Signal Processing and Systems Engineering

    BA 1200 (Bahen Center), University of Toronto, 40 St. George Street, Toronto, Canada M5S 2E4

    Thursday, June 14th at 11:00 a.m., IEEE AESS and SC Distinguished Lecturer Michael C. Wicks, Ph.D., will be presenting “Advanced Sensor Concepts, Exploitation, Signal Processing and Systems Engineering”. Day & Time: Thursday, June 14, 2018 11:00 a.m. ‐ 12:30 p.m. Speaker: Michael C. Wicks, Ph.D. DIEEE AESS and SC Distinguished Lecturer Endowed Chair and Professor of Electrical Engineering University of Dayton, Dayton OH 45469 USA Host: Dr. Raviraj Adve Electrical and Computer Engineering University of Toronto Location: BA 1200 (Bahen Center) University of Toronto 40 St. George Street, Toronto Canada M5S 2E4 Contact: Dr. Mehrdad Tirandazian Organizer: Aerospace and Systems, Man and Cybernetics IEEE Toronto Section Abstract: In this talk, a number of concepts and technologies forming the foundation for the exploitation of sensors from a Big Data perspective are presented. A signal processing and systems engineering approach is discussed, and heuristic techniques are presented as being critical to leap ahead advances in sensor exploitation. While radar centric in nature, the foundation for a more general sensors approach to Big Data exploitation is discussed. Archival data is considered to be essential to the optimal exploitation of sensor phenomena, as humans are unable to fully observe or even comprehend the volumes of rapidly changing data available today. Topics as diverse as radio frequency tomography for below ground imaging, millimeter wave sensing for exquisite feature extraction, target resonance and dynamic imaging of targets obscured by clutter and cover, as well as space-time adaptive processing are presented. The integrating theme of Big Data exploitation in the Internet of Radar is discussed within the context of these enabling sensor technologies as is the “Velocity of Sensor Data.” Biography: Dr. Wicks is a leading research scientist in remote sensing, signal processing and systems engineering, with a current focus on distributed sensing and radio frequency technology. He has pursued a variety of research interests in his career, including: cognitive radar, radio frequency tomographic radar, counter explosive sensor technology, cognitive radar and radio, space object sensing, missile defense, deep earth probing radar, multi-dimensional adaptive processing for airborne and space based radar, ultra-wideband radio and radar, passive and active multi-static systems, and concealed weapons / contraband detection and carrier identification. He pioneered the concept of knowledge-based signal processing and waveform diversity, and has led national and international research teams on the design, development and fielding of novel algorithms, architectures and systems for remote sensing from space, air and surface platforms. Sponsored research is currently focused on advanced algorithms for the detection and track processing of airborne targets obscured by wind farm clutter, as is research on spatially and spectrally diverse sensing for the automatic detection, identification, and feature exploitation of objects under cover, e.g. below ground, inside structures, or under foliage. Space object identification is also a topic of current research. The design and analysis of distributed radar for exoatmospheric surveillance is complimented by analysis and experiments for side-looking imaging and surface moving target indication radar. Recent research has resulted in the development of a mobile waveform diverse distributed MIMO radar system and a radio frequency tomography test bed at the University of Dayton. Research on integrated close-in sensing and long range wide area surveillance radar is addressing feature extraction, in addition to detection processing and track formation. Algorithms and architectures for the numerical and symbolic (heuristic) processing of sensor data is a primary focus of this research.

  • Introduction to Robotics Class 4

    Humber North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Date & Time: Monday June 18th, 2018 3:30 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Introduction to Robotics Class 5

    Humber North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Date & Time: Monday June 25th, 2018 3:30 p.m. Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Motor Control with Arduino

    Prototype Lab (J232 Humber College North Campus)

    -Introduction -Basic information about DC motor, stepper motor and servo motor -How to make them run (ON/OFF) -How to control speed * Basic information about PID control (I will not make the whole calculation but still I want to mention about the idea to show where it comes from) -How to control direction – How and where can we use them Speaker: Seda Erturk Date & Time: Tuesday July 10th, 2018 5:00 p.m. – 6:00 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Prototype Lab (J232 Humber College North Campus) For information, please contact: Dr. Maryam Davoudpour