Research expertise:
disaster robotics; project based learning in CLIL (Content and Language Integrated Learning); computational intelligence for emergency management; CLIL for STEM; intelligent autonomous mobile systems
Research summary:
Dr. Levy is globally renowned for his original interdisciplinary disaster robotics research from a systems perspective for addressing complex system-of-systems problems lying at the confluence of society, technology and the environment, with applications in participatory disaster risk governance, sustainable hazard mitigation, emergency management decision making, natural-technologic (na-tech) crises, health-related emergencies, fluvial and marine disasters, and global climate change.
The recipient of several prestigious research and teaching awards, Dr. Levy's disaster risk reduction research uses a wide range of decision making and statistical methodologies and techniques in order to promote disaster resilience and to manage the cascading impacts of hazards and disasters that cross policy domains, geographic regions, political administrations and sectoral boundaries. As a full professor of Disaster Preparedness and Emergency Management, he has published hundreds of peer reviewed publications and enjoys sharing his insights with scholars around the world.
Ph.D., Systems Design Engineering, University of Waterloo, Ontario, Canada
Dr. Levy has worked with colleagues from the social sciences, natural sciences and engineering at a number of leading universities around the world including Beijing Normal University, Kyoto University, Tohoku University, the University of Hawaii at Manoa, the University of Manitoba, the University of Waterloo, Virginia Commonwealth University, Western Washington University, Wilfrid Laurier University and Wuhan University.
Soft Computing for Emergency Management
Content and Language Integrated Learning (CLIL) in Science Technology Engineering, Arts and Mathematics (STEAM)
Artificial Intelligence-based Emergency Management
Probabilistic Robotics
Communication Networks for Disaster Management