Data-Driven Care: Enabling Science and Technologies

Room ENG-LG 12, George Vari Engineering Building, Ryerson University

Tuesday, November 21st at 5:00 p.m., Dr. Philip Asare, Assistant Professor of Electrical and Computer Engineering at Bucknell University, will be presenting “Data-Driven Care: Enabling Science and Technologies”. Day & Time: Tuesday November 21st, 2017 5:00 p.m. – 6:00 p.m. Speaker: Dr. Philip Asare Assistant Professor of Electrical and Computer Engineering Swanson Fellow in Sciences and Engineering Multicultural Student Services Faculty Fellow (Fall 2015) Bucknell University Location: Room ENG-LG 12 George Vari Engineering Building (Intersection of Church & Gould) Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Alireza Sadeghian, Alex Dela Cruz Organizer: Signals & Computational Intelligence Chapter Abstract: Recent advances in medical technologies provide an opportunity to collect and use a variety of data to assist in the delivery of care to patients in and out of the clinic. In the clinic, tools can be developed that provide insights into patient state that were not previously possible. In some cases various actions can be automated to assist clinicians in delivering care. Outside the clinic, patients can be empowered to manage their own care as they go about their daily lives without being confined to the hospital. Quite a number of impressive technologies have been demonstrated in the research space with a few emerging as commercial projects on the market; however, there are a number of challenges to overcome in order to realize the full potential of these technological advances. This talk will describe past and on-going work in this area by the speaker and others to ensure that the data are trustworthy, the tools that depend on the data are robust and safe, and the technologies are more likely to be adopted by the healthcare ecosystem. These would hopefully lead to the greatest possible impact for patients and their care providers. Biography: Philip Asare is an Assistant Professor of Electrical and Computer Engineering and Swanson Fellow in the Sciences and Engineering at Bucknell University, in Lewisburg, Pennsylvania, in the USA. He is currently a Visiting Scholar/Professor in Electrical and Computer Engineering at Ryerson University during his leave from Bucknell for the 2017-18 academic year. His research interests are in the general are of cyber-physical systems with medicine being one of his primary application areas. He was a Scholar-in-Residence at the U.S. Food and Drug Administration for the 2012-13 academic year working with researchers in the Office of Science and Engineering Laboratories on regulatory approaches for emerging mobile connected medical devices. His work in this area has received a best student paper and best paper award at the Interncation Conference on Body Area Networks (BodyNets). He most recently co-organize the Prototype to Patient Treatment workshop as part of the 2016 Annual Wireless Health Conference through the National Science Foundation Nanosystems Engineering Research Center (NERC) for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST). Asare is a member of the IEEE and its Computer Society and Engineering in Medicine and Biology Society (EMBS). He is also a member of the ACM and its Special Interest Group on Embedded Systems (SIGBED).

Why Deep Learning Works So Well?

Room ENG 358, 245 Church St, Toronto, M5B 1Z4

Monday, November 27th at 10:30 a.m., Prof. C.-C. Jay Kuo, Fellow of IEEE and Dean’s Professor in Electrical Engineering-Systems, University of Southern California, will be presenting “Why Deep Learning Works So Well?”. Day & Time: Monday, November 27, 2017 10:30 a.m. ‐ 11:30 a.m. Speaker: Prof. C.-C. Jay Kuo, Fellow of IEEE, AAAS, SPIE Dean’s Professor in Electrical Engineering-Systems, University of Southern California Location: Room ENG 358 George Vari Engineering Building (Intersection of Church & Gould) Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Xiao-Ping Zhang, Alireza Sadeghian, Alex Dela Cruz Organizer: Electrical and Computer Engineering and CASPAL Ryerson Signals & Computational Intelligence Chapter Abstract: Deep learning networks, including convolution and recurrent neural networks (CNN and RNN), provide a powerful tool for image, video and speech processing and understanding nowadays. However, their superior performance has not been well understood. In this talk, I will unveil the myth of the superior performance of CNNs. To begin with, I will describe network architectural evolution in three generations: first, the McClulloch and Pitts (M-P) neuron model and simple networks (1940-1980); second, the artificial neural network (ANN) (1980-2000); and, third, the modern CNN (2000-Present). The differences between these three generations will be clearly explained. Next, theoretical foundations of CNNs have been studied from the approximation, the optimization and the signal representation viewpoints, and I will present main results from the signal processing viewpoints. I will use an intuitive way to explain the complicated operations of the CNN systems. Biography: Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Dean’s Professor in Electrical Engineering-Systems. His research interests are in the areas of digital media processing, compression, communication and networking technologies. Dr. Kuo was the Editor-in-Chief for the IEEE Trans. on Information Forensics and Security in 2012-2014. He was the Editor-in-Chief for the Journal of Visual Communication and Image Representation in 1997-2011, and served as Editor for 10 other international journals. Dr. Kuo received the 1992 National Science Foundation Young Investigator (NYI) Award, the 1993 National Science Foundation Presidential Faculty Fellow (PFF) Award, the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2011 Pan Wen-Yuan Outstanding Research Award, the 2014 USC Northrop Grumman Excellence in Teaching Award, the 2016 USC Associates Award for Excellence in Teaching, the 2016 IEEE Computer Society Taylor L. Booth Education Award, the 2016 IEEE Circuits and Systems Society John Choma Education Award, the 2016 IS&T Raymond C. Bowman Award, and the 2017 IEEE Leon K. Kirchmayer Graduate Teaching Award. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. He has guided 140 students to their Ph.D. degrees and supervised 25 postdoctoral research fellows. Dr. Kuo is a co-author of about 250 journal papers, 900 conference papers and 14 books.

System of Systems Engineering – Systems Analysis and Policy Optimization

Room ENG 210, 245 Church Street, Toronto, ON M5B 2K3

Monday November 27, 2017 at 3:00 p.m. Kyarash Shahriari will be presenting “System of Systems Engineering – Systems Analysis and Policy Optimization”. Day & Time: Monday November 27, 2017 3:00 p.m. – 5:00 p.m. Speaker: Kyarash Shahriari Location: Room ENG 210 George Vari Engineering and Computing Centre 245 Church Street, Toronto, ON M5B 1Z4 Contact: Mehrdad Tirandazian Organizers: IEEE Toronto Systems Chapter, IEEE Toronto Aerospace & Electronic Systems Chapter Abstract: The new social/economical/environmental context we are living in necessitates ever-increasing complex and collaborative systems. This has given birth to a new category of systems called System of Systems (SoS). SoS is a collection of interconnected complex systems each of which are independent in structure and governance, occasionally competitors in their activities, but collaborate together, by force or in a volunteer basis, to achieve specific objectives and to look for emergent properties which are not otherwise achievable. Examples of the SoS are System of financial institutions in a country; a regional electrical grid including distributed power generators operating together in an open energy market; or transportation network in provincial, federal, or international level. Treating the previously known complex systems in SoS context implies new modeling, simulation, and analysis engineering tools together with new optimization methodologies. The main benefits, especially for policy makers and authorities, would then be the simplicity of analysis and adjustments of policies which results in costs reduction for both authorities and stakeholders. In this talk we review the concept of SoS, the differences between SoS and previously known complex systems, and the state of the engineering tools for these systems. Biography: Kyarash received his B.Sc.’2000 in Electronics Engineering, and MSc’2003 and PhD’2007 in Control Systems Engineering respectively from Institute National Polytechnique de Grenoble (INPG) and Universite Joseph Fourier, Grenoble, France. He started his professional career with Atkins Rail, London, UK, as Systems Research Engineer where he worked on developing integrated system-oriented frameworks for Safety, Security, and Sustainability Analysis. After moving to Canada in 2008, he joined LACM laboratory, Laval University, as research fellow and Centre de recherche industrielle du Quebec (CRIQ), Quebec City, a year after, as Research Officer with the main focus on Complex Dynamic Systems Control, System of Systems Engineering, Energy Efficiency and Continuous Improvement in energy intensive industries. To accept new challenges, Kyarash moved to aerospace industry in 2013 and joined Aversan Inc. / Honeywell Aerospace as Control Systems Design Engineer where he work on Environmental Control Systems (ECS) in aircrafts. Kyarash is a Senior Member of the IEEE, he was the founder chair of Young Professional Affinity Group, Quebec City Section, and is currently holding Aerospace and Electronic Systems Society (AESS) chapter chair, Toronto Section. He is also registered professional engineer in Quebec and in Ontario Provinces. Kyarash’s main field or interests are System of Systems, Advanced Control Systems, and Energy Efficiency.

Hatching A Tech Startup

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

Tech startups have special challenges. Founders need to keep an eye on technology disruption, they have to find, recruit and keep the best talent, and they have to stay ahead of their competition. In the early stages there are no funds and never enough resources or time. In spite of this tech startup founders find a way to stand up their first product and land their first customers. Join us for an afternoon with tech startup founders Melinda Jacobs, Cofounder, Lucent Sky, Maria Karam, Founder, Tactile Audio Displays Inc and the Inventor’s Nest, and Eddy Song Fonder of Inlighten Co as they share their own stories of the early stages of their businesses. Come and hear how they do it and how they turn their ideas into products customers want. Day & Time: Monday November 27th, 2017 3:30 p.m. – 6:00 p.m. Speakers: Melinda Jacobs, Cofounder, Lucent Sky Dr. Maria Karam, Founder, Tactile Audio Displays Inc & Inventor’s Nest Eddy Song, Founder, Inlighten Co. Location: Room: ENG 288, George Vari Centre for Computing and Engineering 245 Church Street Toronto, Ontario M5B 2K3 RVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/245069438/ Contact: Dr. Maryam Davoudpour Organizer: Get Your Bot On!, WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University. Agenda: 3:30 p.m. – Doors Open and Networking 4:00 p.m. – Welcome and Speakers 4:50 p.m. – Panel and Q&A 5:30 p.m. – Closing Remarks 6:00 p.m. – Close Biography: Melinda Jacobs is cofounder of Lucent Sky, an application security vendor based in San Francisco and Taipei. Originally from Fredericton, Melinda studied as a Loran Scholar at the University of Toronto and currently serves on the Board of Directors of the University of Toronto Alumni Association (UTAA). Last year Melinda presented a keynote at the Lean Startup conference in San Francisco and is a frequent presenter on social entrepreneurship, security and risk. She was recently named a Senior Fellow of the Canadian International Council and now resides in Toronto. Dr. Karam is the inventor and President of Tactile Audio Displays inc., and a Senior visiting research fellow at Kings College London UK. Dr. Karam’s specializes in the research and development of tactile communication systems and multi sensory technology integration in luxury autonomous vehicles, accessibility, and immersive entertainment environments. Maria is also the founder of the Inventors Nest, a new innovation and collaboration hub for artists, scientists, and techies. (please shorten or select the parts you think are relevant). I have also been a member of the IEEE since 2005. Eddy Song is the founder of Inlighten Co. Inlighten makes fashionable clothing from fibre optic textiles. Their first products are popular with the EDM community.

Technical Seminar: PEM Fuel Cells and Electrolyzers for Clean Energy

Peter Bronfman Learning Centre, 7th Floor, Heaslip House, Ryerson University 297 Victoria Street, Toronto

Monday, January 29th at 12:00 p.m., Prof. Aimy Bazylak, Canada Research Chair in Thermofluidics for Clean Energy, will be presenting “Technical Seminar: PEM Fuel Cells and Electrolyzers for Clean Energy”. Day & Time: Monday, January 29, 2018 12:00 p.m. ‐ 1:30 p.m. Speaker: Prof. Aimy Bazylak Canada Research Chair in Thermofluidics for Clean Energy Director of the University of Toronto Institute for Sustainable Energy Associate Professor in Mechanical & Industrial Engineering Location: Peter Bronfman Learning Centre, 7th Floor, Heaslip House, Ryerson University 297 Victoria Street, Toronto, M5B 1W1, ON, Canada Contact: Omid Alizadeh Organizer: IEEE Toronto Power & Energy Society Agenda: 12:00 pm – Arrival and registration 12:15 pm – Welcome and introduction 12:20 pm – Talk 1:05 pm – Q&A 1:30 pm – 2:00 pm – Closing and networking Light refreshments will be served. Abstract: The hydrogen polymer electrolyte membrane (PEM) fuel cell provides enormous potential for a future with clean energy. However, PEM fuel cells and electrolyzers have not yet reached widespread commercial adoption, and key barriers are related to inefficient heat and mass transport in microscale porous materials. Mass transport limitations arising from liquid water flooding in low temperature PEM fuel cells and oxygen gas bubble accumulation in PEM electrolyzers leads to significant inefficiencies. If these issues become resolved, smaller and more reliable devices could be produced at a lower cost. Mass transport limitations can be minimized through the development of optimized materials, which have tailored pore structures, connectivities, conductivities, and surface wettabilities. The porous materials could be customized for mass transport with detailed information about their structure and the dominating mass transport mechanisms that result from these structures. I will discuss X-ray based visualization techniques, such as microcomputed tomography, synchrotron X-ray radiography, and neutron radiography, for investigating multiphase transport in PEM fuel cells and electrolyzers. Biography: Prof. Aimy Bazylak is the Canada Research Chair in Thermofluidics for Clean Energy; Director of the University of Toronto Institute for Sustainable Energy; and an Associate Professor in Mechanical & Industrial Engineering. Her research is focused on studying microscale and nanoscale materials for tailored heat and mass transport for clean electrochemical energy conversion technologies. In 2014 she became a Fellow of the Canadian Society for Mechanical Engineering, and she was recognized as an Alexander von Humboldt Fellow in Germany in 2015.

High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories

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

Friday, February 2nd at 12:15 p.m., Dr. Ebrahim Ghafar-Zadeh (PhD, P.Eng), Director of Biologically Inspired Sensors and Actuators Laboratory, will be presenting “High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories”. Day & Time: Friday, February 2, 2018 12:15 p.m. ‐ 1:15 p.m. Speaker: Dr. Ebrahim Ghafar-Zadeh Biologically Inspired Sebsors and Actuators ( BioSA) Dept. of Electrical Engineering and Computer Science Lassonde School of Engineering York University Location: Room: ENG 288, George Vari Centre for Computing and Engineering 245 Church Street Toronto, Ontario M5B 2K3 Contact: Maryam Davoudpour Organizer: WIE IEEE Toronto, IEEE Ryerson Student Chapter, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University Abstract: Recent advances of Complementary Metal Oxide Semiconductor (CMOS) Lab-on-Chip (LoC) technologies have greatly attracted the attentions for a variety of life science applications including DNA sequencing, drug discovery and automation of biological laboratories. A CMOS based LoC consists of a microfluidic device for directing the biological/chemical samples towards sensors (e.g. magnetic, optical or capacitive sensors) or actuators (e.g. magnetic or electrical actuators). An array of sensors or actuators can be realized on the top of CMOS integrated circuits (IC) for accurately measurement of chemical and/or biological signals. High throughput microfluidic/CMOS technology for cellular and molecular analysis is in a very early stage of development and there are several critical challenges that must be investigated and resolved. In this talk, professor Ghafar-Zadeh will discuss new perspectives and challenges for the design and implementation of hybrid microfluidic CMOS sensors and actuators. Also he will demonstrate and discuss his recent research achievements in this emerging field of research. Biography: Ebrahim Ghafar-Zadeh (PhD, P.Eng) received his BSc ( KNT University, Tehran Iran), MSc (University of Tehran, Iran) and PhD ( Ecole Polytechnique de Montreal, Canada) degrees in Electrical Engineering in 1992, 1994 and 2008 respectively. In recognition of his innovative research in the topic of hybrid microfluidic/microelectronic systems, Dr. Ghafar-Zadeh received several postdoctoral fellowship awards including NSERC PDF and FRQNT PDF and he perused two postdoctoral fellows in the Dept. of Electrical and Computer Engineering, McGill University; and the Dept. of Bio-engineering, University of California, Berkeley. Dr. Ghafar-Zadeh has published more than 100 journal and conference papers and a book titled CMOS Capacitive Sensors for Lab-on-Chip applications. Since 2013, he has been an assistant Professor, in the Dept. of Electrical Engineering and Computer Science, York University, Toronto, Canada. Dr. Ghafar-Zadeh is the director of Biologically Inspired Sensors and Actuators Laboratory.

Introduction to Python Workshop

Ryerson University (Victoria Building, Room VIC 301)

IEEE Ryerson Student Branch, IEEE Ryerson Computer Chapter, IEEE WIE, IEEE Computational Intelligence Chapter, and Robotics/ Automation Chapter are Please to announce the start of their series of python workshops. A series of 6 workshops will give the participants the ability to use the basics of python as well as Machine learning to help them in their study or workplace. At the end of these workshops there will be a certificate given to participants who attended these workshops. Day & Time: Monday, February 5, 2018 6:00 p.m. ‐ 8:00 p.m. Location: Ryerson University (Victoria Building, Room VIC 301) Contact: ieee.ryersonu@gmail.com Organizer: IEEE Ryerson Student Branch, IEEE Ryerson Computer Chapter, IEEE Computational Intelligence Chapter, WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation RVSP: https://www.eventbrite.com/e/ieee-ryerson-intro-to-python-workshop-tickets-42588313793

Canada’s Robotics Moment

Autodesk Technology Centre, 661 University Avenue, Suite 100, MaRS Discovery District

Join us for an in depth discussion on Canada’s place amidst global trends and opportunities in the robotics market. Canada has a unique opportunity to leverage its international reputation in AI (artificial intelligence) to tap into the fast-growing commercial robotics market. Canada invested early and wisely in AI, culminating in the recent explosion in investment, commercial activity and global recognition. Robotics is the next frontier for innovation and investment. The Canadarm delivered international profile for executing high-stakes feats of robotic ingenuity. That success has been repeated in field after field without similar recognition. It’s time to bring thought leaders and stakeholders together to shape a comprehensive national robotics strategy. Led by Andra Keay, Managing Director, Silicon Valley Robotics, speakers will explore the collaborations, supports and partnerships needed to establish Canada as a global player in the commercial robotics market. A panel from industry, government and academia will discuss Canada’s strengths and how to capitalize on them to build a vibrant robotics industry. Speakers include: Andra Keay, Managing Director, Silicon Valley Robotics Dr. Molly Schoichet, OC, OOnt, Chief Scientist, Ontario Hallie Siegel, Innovation Strategist Dr. Farzad Rayegani, Dean of Applied Technology, Humber College Dr. William Melek, Director of Mechatronics Engineering, University of Waterloo Day & Time: Thursday, February 8, 2018 2:30 p.m. ‐ 5:30 p.m. Location: Autodesk Technology Centre 661 University Avenue, Suite 100, MaRS Discovery District Contact: Maryam Davoudpour Organizer: WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation RVSP: https://www.eventbrite.com/e/canadas-robotics-moment-tickets-42391575343?aff=AIPromo Agenda: 2:30 pm. Welcome, Adriana Ieraci, Founder, GYBO Robotics Network 2:35 pm. A National Robotics Strategy for Canada, Hallie Siegel, Innovation Strategist 2:50 pm. Global Trends and Opportunities, Andra Keay, Managing Director, Silicon Valley Robotics 4:05 pm. Panel Discussion: Making it Happen 5:00 pm. Networking See the event brief for speaker bios and details.

Big Data Hackathon

Ryerson University

IEEE Ryerson Student Chapter, IEEE Ryerson Computer Chapter and IEEE Woman In Engineering are proud to present our first Big Data Hackathon, in collaboration with the Clean Energy Zone. This hackathon will bring the state of art techniques to energy forecasting, bridge the academic research and industry practice, elevate data analytics in power engineering education, and engage the industry in smart grid energy forecasting challenges. The winner of this hackathon will get an exciting opportunity to work with the Clean Energy Zone to implement their solution in real life.

IEEE Ryerson Python Workshop 2

Ryerson University (Victoria Building, Room VIC 301)

IEEE Ryerson Student Branch, IEEE Ryerson Computer Chapter, WIE IEEE Toronto, IEEE Computational Intelligence Chapter, and Robotics/ Automation Chapter are Please to announce the second workshop of their series of python workshops. A series of 6 workshops will give the participants the ability to use the basics of python to help them in their study or workplace. At the end of these workshops there will be a certificate given to participants who attended these workshops. Day & Time: Monday, February 12, 2018 6:00 p.m. ‐ 8:00 p.m. Location: Ryerson University (Victoria Building, Room VIC 301) Contact: ieee.ryersonu@gmail.com Organizer: IEEE Ryerson Student Branch, IEEE Ryerson Computer Chapter, IEEE Computational Intelligence Chapter, WIE IEEE Toronto, Instrumentation-Measurement/Robotics-Automation Register at: https://www.eventbrite.com/e/ieee-ryerson-python-workshop-2-tickets-42931234478

Providing Better Customer Value and Benefits and IT Solutions

Centennial College – Progress Campus, room A3-17

Thursday, February 15th at 12:30 p.m., Jeremy Gervais, Software Engineer at Amazon, will be presenting “Providing Better Customer Value and Benefits and IT Solutions”. Day & Time: Thursday, February 15, 2018 – 12:30 p.m. Speaker: Jeremy Gervais Software Engineer, Amazon Location: Centennial College – Progress Campus, room A3-17 Contact: Nicoleta Zouri Organizer: IEEE Toronto Women in Engineering, IEEE Toronto Instrumentation-Measurement/Robotics-Automation Abstract: Amazon is striving to create new services, user work flows and products. Some aspects that contribute to better customer value and benefits are a reduction of payment friction and reducing costs through efficient workflow.

Hybrid Biomedical Optics Imaging and Instrumentation

Room: ENG 210, George Vari Centre for Computing and Engineering, 245 Church Street, Toronto, Ontario M5B 2K3

Friday, February 16th at 12:15 p.m., Nima Tabatabaei, Assistant Professor in the Department of Mechanical Engineering and Director of Hybrid Biomedical Optics Laboratory at York University, will be presenting “Hybrid Biomedical Optics Imaging and Instrumentation”. Day & Time: Friday, February 16, 2018 12:15 p.m. ‐ 1:15 p.m. Speaker: Nima Tabatabaei Assistant Professor, Department of Mechanical Engineering Director, Hybrid Biomedical Optics Laboratory York University, Canada Location: Room: ENG 210, George Vari Centre for Computing and Engineering 245 Church Street Toronto, Ontario M5B 2K3 Contact: Saba Sedghizade, Maryam Davoudpour Organizer: WIE IEEE Toronto, IEEE Ryerson Student Chapter, Instrumentation-Measurement/Robotics-Automation, Magnetics, and Computer Science Department of Ryerson University Abstract: The focus of professor Tabatabaei’s research is on the design and instrumentation of thermal and optical imaging technologies and devices with applications in medical diagnosis and screening. Optics-based medical devices are of particular interest to him due to their intrinsic ability of revealing malignancies in early stages. The early diagnosis of diseases improves the effectiveness of treatments, promotes prevention rather than medical intervention, and is probably the only approach for us to win the war on cancer. However, one of the major challenges in optical imaging of endogenous tissue contrast is the poor specificity due to background signals from healthy tissues. Professor Tabatabaei’s research vision is to overcome this shortcoming by separating excitation and detection channels using Hybrid methods. In this scenario, crosstalk between the channels, selectively, takes place by energy conversion at malignant sites that are sensitive to the excitation thus minimizing (if not eliminating) the signals originating form background health tissues. Biography: Nima Tabatabaei is an assistant professor in the Department of Mechanical Engineering and the director of Hybrid Biomedical Optics laboratory (http://www.HBOLab.ca) at the York University (Canada). He received his B.Sc. and M.Sc. in Materials Science and Engineering and Ph.D. in Mechanical Engineering (University of Toronto; 2012) before carrying out research at the Harvard Medical School and Wellman Center for Photomedicine as postdoctoral fellow. His research interests are design and development of hybrid biomedical optics imaging technologies for applications in early disease diagnosis and screening.