IEEE Toronto Section


Archive for the ‘Engineering in Medicine and Biology’ Category

Harmony: beyond win-win for an ailing healthcare system

Friday, February 22nd, 2019

Thursday February 28th, 2019 at 12:15 p.m. Prof. Shahram (Sean) Yousefi, Ph.D., P.Eng, Co-founder, President, and CEO of MESH Scheduling Inc will be presenting “Harmony: beyond win-win for an ailing healthcare system”.

Day & Time: Thursday February 28th, 2019
12:15 p.m. ‐ 1:15 p.m.

Speaker: Prof. Shahram (Sean) Yousefi, Ph.D., P.Eng
Professor and Associate Dean, Corporate Relations, Queen’s University
Co-founder, President, and CEO MESH Scheduling Inc

Organizers: IEEE Toronto EMBS, and IEEE WIE

Location: TRI-UC, Basement Lecture theatre
550 University Ave., Toronto, M5G 2A2


Abstract: Does Canada have a better healthcare system or the US?

In this talk, we speak about some of the known as well as hidden issues in healthcare and workforce and provide some surprising comparative arguments. Humans, machines, and algorithms must learn important lessons and everything should come together from policy and strategy to processes and tools to save us! has focused on helping reduce the largest component in healthcare cost by listening to the frontline providers and making sure they are well taken care of. Join us to hear about our point of view in this regard and on “Socially Intelligent Staff Scheduling” in healthcare. How can we do better? Where can you help?

Biography: Prof. Shahram Yousefi is a passionate problem-solver with a strong belief that people are our biggest assets in every team. He believes a balanced approach towards learning, growth, and harmony is key to create success for the individuals as well as organizations.Prof. Yousefihas held positions at Edward S. Rogers Sr. department of electrical and computer engineering, University of Toronto, Canada, Ecole Polytechnique Fédéralde Lausanne (EPFL), Switzerland, Jilin University, China, University of California, Santa Cruz, USA, and department of electrical and computer engineering of Queen’s University, Kingston, Canada, where he is currently a tenured full professor and Associate Dean, Corporate Relations. Shahram also serves as the editor-in-chief of the IEEE Canadian journal of electrical and computer engineering.

Prof. Shahram’sresearch interests lie in communications, cloud systems, big data, networks, information theory, signal processing, control, optimization, and algorithms in which he holds a number of patents. He has co-founded CanarmonyCorp., MESH Scheduling Inc., and OPTT Inc. to apply algorithms to make life better and more harmonious in healthcare and workforce management. One of Shahram’spatents in the area of data storage has recently been licensed to a Queen’s University startup to revolutionize a $500b solid state/cloud storage industry. Prof. Yousefi is an advisor to a number of technology, healthcare, and education startups

Opportunities in Neural Engineering

Wednesday, November 21st, 2018

Friday Nov 23, 2018 at 9:00 a.m. Signal Analysis Research (SAR) Group, Ryerson University and IEEE Engineering in Medicine and Biology Society will be hosting the “Opportunities in Neural Engineering” event.

Day & Time: Friday November 23rd, 2018
9:00 a.m. ‐ 1:30 p.m.

Organizers: Signal Analysis Research (SAR) Group
Ryerson University
IEEE Engineering in Medicine and Biology Society

Location: Room ENG 460, Ryerson University
245 Church Street, Toronto

Contact: Filip Boskovic

Agenda: Each talk will be for 20 minutes plus 5 minutes of discussions.

Session 1 – Neural Engineering framework
1) Overview of the event – Sri Krishnan, Associate Dean (Research), Ryerson University
2) Neural signal processing and machine learning – Sri Krishnan
3) Assistive Technologies – Teodiano Bastos, Federal Univ. Espirito Santo, Brazil
4) Parkinsons’ Disease Voice Analysis – Alice Rueda, Intel Student Ambassador and PhD student

Session 2 – Applications in Neural Engineering
5) Brain-computer Interfaces – Dharmendra Gurve, Ryerson University
6) Rehabilitation facilities and framework for collaborative work – Jeevan Pant, Ryerson University
7) Assistive Living – Robson Cruz and Yuri Silva, Federal Univ. Manuas, Brazil
8) Emerging opportunities – Sri Krishnan and Teodiano Bastos

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


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.

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

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

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.


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

Dr. Sridhar Krishnan,
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. April Khademi,
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Karthy Umapathy,
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Naimul Khan,
Department of Electrical & Computer Engineering
Ryerson University, ON, Canada

Dr. Teodiano Bastos,
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

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


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

Women in Robotics Speaker Series: Dr. Pooja Viswanathan, Co-founder and CEO, Braze Mobility

Tuesday, March 28th, 2017

Monday April 10, 2017 at 6:00 p.m. Dr. Pooja Viswanathan, Co-founder and CEO, Braze Mobility, will be speaking as part of “Women in Robotics Speaker Series”.

Day & Time: Monday, April 10, 2017
6:00 p.m. – 9:00 p.m.

Speaker: Pooja Viswanathan
Co-founder and CEO, Braze Mobility

Location: Health Innovation Hub
263 McCaul Street, Room 120

Light Refreshments will be served (sponsored by IEEE EBMS)

Register and find out more at Meetup:

Biography: Dr. Pooja Viswanathan is the Co-founder and CEO of Braze Mobility Inc. Dr. Viswanathan has a PhD in Robotics and Assistive Technology, is a Post-Doctoral Fellow at the University of Toronto and the AGE-WELL Network of Centres of Excellence, and is an Ontario Brain Institute Entrepreneur. Dr. Viswanathan is a passionate and accomplished innovator and still makes time for mentorship and education of the next generation of young innovators.

Women in Robotics Series: Erica Tiberia, Roboticist and Educator

Wednesday, November 16th, 2016

Thursday December 8, 2016 at 6:00 p.m. Erica Tiberia, roboticist, creative technologist, educator and entrepreneur, will be presenting “Women in Robotics Series”.

Speaker: Erica Tiberia
Roboticist, Creative Technologist, Educator and Entrepreneur

Day & Time: Thursday, December 8, 2016
6:00 p.m. – 9:00 p.m.

Location: Health Innovation Hub
263 McCaul Avenue, Toronto, ON

The meeting room is on the first floor. Note that the doors to H2I will lock at 6 but someone will be there to let you in. Please knock.

Organizer: IEEE Toronto Section, Engineering in Medicine and Biology Society (EMBS) and the IEEE Women in Engineering Toronto Section (WIE)


Agenda: 6:00 pm – Networking
6:30 pm – Welcome
6:40 pm – Erica Tiberia – talk and Q&A
7:40 pm – Pitches from the community – Community members can ask for assistance on their projects
8:00 pm – Networking
9:00 pm – Close

Biography: Erica is a tech educator and creative technologist. She has a technical background in molecular biology and biotechnology and a passion for science communication, digital education, and emerging technology. She has designed and coordinated education programs involving electronics, robotics, digital fabrication and programming for kids and adults. She also designs, builds and programs robots and is a level 1 winner of the 2016 sample return robot NASA Centennial Challenge. Her work has been featured on Bloomberg Tech, Discovery Channel’s Daily Planet, and more.

A scientist by training, Erica has a B.Sc. In Molecular Biology and Biotechnology from the University of Waterloo. She completed M.Sc. work on research done at the Department of Medical Biophysics at the University of Toronto. She has done molecular biology research at Cornell University, the University of Waterloo, the Hospital for Sick Children, and the Princess Margaret Cancer Center, and is an author of multiple peer reviewed scientific papers.

Acute, Sub-acute and chronic Therapeutic Strategies Post-SCI

Wednesday, November 2nd, 2016

Thursday November 3, 2016 at 12:00 p.m. Prof. Angelo All, Division of Neuroscience and Neuroengineering at the Johns Hopkins School of Medicine, will be presenting “Acute, Sub-acute and chronic Therapeutic Strategies Post-SCI”.

Speaker: Prof. Angelo All
Division of Neuroscience and Neuroengineering, Department of Biomedical Engineering, Department of Neurology at the Johns Hopkins School of Medicine (JHU)
Research Director at the Department of Orthopedic Surgery and Department of Biomedical Engineering, SiNAPSE Institute at the National University of Singapore (NUS)
Director Spinal Cord Injury and Repair Research Laboratory at the JHU and NUS

Day & Time: Thursday, November 3, 2016
12:00 p.m. – 1:00 p.m.

Location: Lecture Theatre (Basement), University Health Network-Toronto Rehabilitation Institute
550 University Avenue, Toronto, Ontario, Canada M5G 2A2

Co-sponsored by University Health Network-Toronto Rehabilitation Institute
No Admission Charge

Abstract: Among neurological disorders, the cost of spinal cord injury (SCI) to society ranks second only after mental retardation. Acute SCI can manifest as ‘anatomically intact’ with spared demyelinated and electrically defunct axons showing physiological discontinuity across the site of lesion. Even if only a small number of spared fibers remain after SCI, with immediate treatment, the quality of life of patients can be greatly improved. Early knowledge of the extent of spared fibers will help rehabilitation therapists and scientists as well as neurologists to plan time-sensitive strategic treatment options. The therapeutic strategies would be tailored in order to ensure the survival of neurons post-primary injury and limit secondary phase of injury. Scientists and physicians would also need to devise ways to prevent progression of the injury and improve the microenvironment around the injury for treatment by using, for example, stem cell that aims to produce therapeutically-induced functional recovery. We have developed in vivo rodent models and quantitative assessment techniques and methods that can reliably quantify the repair and regeneration post-injury and demonstrate objective neuro-electro-physiological assessments of SCI recovery and rehabilitation. First, I will present experimental methods to create calibrated contusive SCI model and the neuroelectrophysiological function monitoring using Evoked Potentials (EP). The second part of my presentation involves the investigation of the effects of therapeutic hypothermia (acute), application of conjugated polymers for drug delivery within intraparenchymal of spinal cord and limiting the secondary phase of injury (sub-acute) and third, human stem cell replacement (chronic) therapy postcontusive SCI. I will present preliminary results on the effects of temperature manipulation on EP signals and a novel design of biodegradable polymers for drug delivery as well as the results of transplanting human stem cell derived oligodendrocyte progenitors to aid recovery of spinal cord function. Our expectation is that these techniques would be applicable in basic research as well as be able to translatable for future clinical studies.

Biography: Angelo H. ALL, M.D., MBA, started his higher education in Pharmacy School, graduated from Medical School, continued his career as a surgery fellow and obtained a MBA degree from the Johns Hopkins University. Since 2000, his Biomedical and Neuro-Engineering research at the Johns Hopkins Medical Institute has shaped his career. Dr. ALL is an Assistant Professor at the Division of Neuroscience and Neuroengineering, Department of Biomedical Engineering and Department of Neurology at the Johns Hopkins School of Medicine (JHU), Baltimore, USA. He also holds faculty position of Assistant Professor and is the Research Director at the Department of Orthopedic Surgery and Department of Biomedical Engineering as well as SiNAPSE Institute at the National University of Singapore (NUS). He is the director of the Spinal Cord Injury and Repair Research Laboratory at the JHU and NUS. Dr. ALL has established a very productive multidisciplinary translational research project through collaborations with scientists in both Medical and Engineering fields. The focus of his research is Central Nervous System (CNS) injury, repair and regeneration. His translational research projects involve cell replacement therapy using oligodendrocyte precursor cells derived from embryonic, iPSC and Directly Converted stem cells, as well as hypothermia treatment in the contusive model of Spinal Cord Injury (SCI). In addition, part of his laboratory team is also investigating the application of nanoparticles to limit the secondary phase of SCI. Recently, his laboratory is developing the “Optomedicine” – we adopt Optogenetics-based approaches for rehabilitative treatment post-SCI. Optomedicine allows us to regulate the electrical activity of neuronal population cells with millisecond spatiotemporal precision. We are also testing the hypothesis of delivering genes into neurons of the CNS in a pioneering method that would translate “Optomedicine” into clinical settings. Dr. ALL Lab pioneered the monitoring and quantitative analysis of somatosensory and motor evoked potentials for assessment of long-term electrical integrity at various stages of pre- and post-injury. He and his team of researchers studied plasticity and adaptive changes in CNS, which enable reorganization of spared neuropathways following neurotrauma. He also uses different imaging techniques to monitor anatomical changes in the CNS architectures at various time points. These images allow the identification of spared fibers and the tracking of the extent of secondary injury to determine the therapeutic benefits of the various treatment strategies.

Time-varying Nonlinear Models of Human Heartbeat Dynamics

Wednesday, July 20th, 2016

August 12, 2016 at 12:00 p.m. Gaetano Valenza, M.Eng., Ph.D., will be presenting “Time-varying Nonlinear Models of Human Heartbeat Dynamics”.

Speaker: Dr. Gaetano Valenza
Assistant Professor, University of Pisa
Harvard Medical School/MGH, Boston, USA

Day & Time: Friday, August 12, 2016
12:00 p.m. – 1:00 p.m.

Location: UC-Lecture Theater (Basement)
Toronto Rehab – University Centre
550 University Ave., Toronto, M5G 2A2

Contact: Azadeh Yadollahi

For Registration:

Abstract: The application of nonlinear and time-variant systems theory to physiology and medicine has provided meaningful information for a wide range of biological processes and their disease-related aberrations. However, focusing on the cardiovascular system, information that can be extracted by quantifying second-order moments of time-varying heartbeat dynamics are often neglected. To this extent, we introduce a mathematical framework including instantaneous estimates defined in the time and frequency domains, as well as instantaneous complexity and higher-order statistics. Results from exemplary studies involving healthy subjects, as well as patients with Congestive Heart Failure, Major Depression Disorder, Parkinson’s Disease, and Post-Traumatic Stress Disorder will be presented. Multivariate analysis involving brain dynamics during visual affective elicitation will also be presented.

Biography: Gaetano Valenza, M.Eng., Ph.D., is currently an Assistant Professor of Bioengineering at the University of Pisa, Pisa, Italy. In 2009, He started working at the Bioengineering and Robotics Research Centre “E. Piaggio” in Pisa and, in 2011, He joined the Neuro-Cardiovascular Signal Processing unit within the Neuroscience Statistics Research Laboratory at Massachusetts Institute of Technology, Cambridge, USA. In 2013, He received the Ph.D. degree in Automation, Robotics, and Bioengineering from the University of Pisa and, in the same year, was appointed as a Research Fellow at Harvard Medical School/ Massachusetts General Hospital, Boston, USA.

His research interests include statistical and nonlinear biomedical signal and image processing, cardiovascular and neural modeling, and wearable systems for physiological monitoring. Application of his research include the assessment of autonomic nervous system activity on cardiovascular control, brain-heart interactions, affective computing, assessment of mood and mental disorders, and disorder of consciousness.

He is author of more than 100 international scientific contributions in these fields published in peer-reviewed international journals, conference proceedings, books and book chapters, and is official reviewer of more than fifty international scientific journals. He has been involved in several international research projects, and currently is the scientific co-coordinator of the European collaborative project H2020-PHC-2015-689691-NEVERMIND. Dr. Valenza has been guest editor of several international scientific journals, and is currently member of the editorial board of the Nature’s journal “Scientific Reports”.