Engineering
Professor of mechanical and aeronautical engineering, receiving his PhD from the University of Toronto in 2000. He has expertise in numerical simulation of composite structures and fabrication processes. Participated and coordinated numerous academic and industrial RD&I projects involving aerospace companies, e.g. Embraer, SAAB and Akaer.
Prof. George Shaker is an adjunct associate professor at the Department of Electrical and Computer Engineering at University of Waterloo. He also oversees wireless activities in the sensors and devices lab at the UW-Schlegel Research Institute for Aging. Previously, he was with Research in Motion (BlackBerry). He was also with Georgia Institute of Technology. He has been the Principal Scientist and Head of Research at Spark Technology Labs (STL), since its founding in 2011.
Stephen L. Smith is a Professor in Electrical and Computer Engineering where he directs the Autonomous Systems Lab and is a Canada Research Chair in Autonomous Systems. He received his BSc degree from Queen’s University, his MASc degree from the University of Toronto, and his PhD degree from the University of California, Santa Barbara.
Dr Yilan Liu Yilan got her MASc at Chinese Academy of Sciences, where she earned Master of Natural Science. She pursued her PhD in Biochemical Engineering at Chinese Academy of Sciences. She conducted post-doctoral training at University of Nebraska-Lincoln and at University of Toronto. In Liu’s lab for synthetic biology and sustainable development (LSS), we harness synthetic biology for sustainable development. Her research explores how to engineer bacteria to convert mixed solid waste into biofuels.
Dr. Pant is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where he leads the Control, Learning and Logic (CL2) group. His research focuses on decision-making for multi-agent and autonomous systems, drawing on elements of Control Theory, Machine Learning, Formal Methods, and Optimization.
Dr. Vijay Ganesh is an associate professor at the University of Waterloo and the Co-Director of the Waterloo Artificial Intelligence Institute. Prior to joining Waterloo in 2012, he was a research scientist at MIT (2007-2012) and completed his PhD in computer science from Stanford in 2007.
Sushanta Mitra’s research interests are in the fundamental understanding of fluid flow in narrow confinements applicable to energy, environment and bio-systems. Before joining Waterloo, he had several administrative roles in Canadian higher education, including Department Chair (Lassonde School of Engineering), Associate Vice-President Research (York University) and Assistant Vice-President Research (University of Alberta).
Dr. Fischmeister is a Professor at the University of Waterloo, leads the Real-time Embedded Software Group, and is NSERC/Magna Industrial Research Chair for Automotive Software. Dr. Fischmeister performs systems research at the intersection of software technology, distributed systems, and formal methods. His preferred application area is safety-critical embedded real-time systems. Jointly with industry and researchers, he built the APMA Connected Vehicle Technology Demonstrator as well as several CES demos, including the Renesas Autonomous Vehicle as well as the DENSO Driving AI demonstrator.
Dr. Saeed Maleksaeedi is a material scientist with a focus on additive manufacturing technologies, received her PhD from Shiraz University in 2009. His research explores application of additive manufacturing in various industry sectors including aerospace, biomedical and tooling.
Rodrigo Costa is an assistant professor of Systems Design Engineering at the University of Waterloo. Dr. Costa received his Ph.D. from the University of British Columbia. Prior to joining Waterloo, Dr. Costa was an adjunct lecturer at Stanford University. His research on societal and environmental systems examines how communities' physical, economic, and social systems interact to exacerbate disaster risk and further socioeconomic and racial inequalities. Rodrigo works at the interface between engineering and social sciences. Dr. Costa’s goal is to inform targeted interventions to reduce disaster impacts, accelerate recovery, and ensure that all of society participates in the benefits.