Parham Nooralishahi is a specialist in embedded and intelligent vision systems and currently is a Ph.D. student
at Universite Laval working on developing drone-enabled techniques for the inspection of large and complex industrial
components using multi-modal data processing. He is a researcher with a demonstrated history of working in the
telecommunication industry and industrial inspection and in-depth expertise in robotics & drones, embedded systems,
advanced computer vision and machine learning techniques. He has a Master’s degree in Computer Science
(Artificial Intelligence). During his bachelor's degree, he was involved in designing and developing the controlling
and monitoring systems for fixed-wing drone for search and rescue purposes. Also, during his Master's degree, he worked
extensively on machine learning and computer vision techniques for robotic and soft computing applications.
Xavier P.V. Maldague received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Universite Laval,
Quebec City, Canada, in 1982, 1984, and 1989, respectively. He has been a Full Professor with the Department of Electrical
and Computing Engineering, Universite Laval, Quebec City, Canada, since 1989, where he was the Head of the Department from
2003 to 2008 and 2018. He has trained over 50 graduate students (M.Sc. and Ph.D.) and has more than 300 publications.
His research interests include infrared thermography, nondestructive evaluation (NDE) techniques, and vision/digital systems
for industrial inspection. He is an Honorary Fellow of the Indian Society of Nondestructive Testing. He is also a Fellow of
the Canadian Engineering Institute, the American Society of Nondestructive Testing, and the Alexander von Humbolt Foundation,
Germany. He holds the Tier 1 Canada Research Chair in Infrared Vision. He has been the Chair of the Quantitative Infrared
Thermography (QIRT) Council since 2004.