IEEE Toronto Section

IEEE

Biomedical Signal and Image Analysis Workshop

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

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