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Engineering design and computational intelligence for autonomous underwater vehicles, climate resilience, field robotics and renewable ocean-based energy.
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Jason
Public Administration
E222
Levy
Professor
808-689-2492

Research expertise:

Engineering design and computational intelligence research for climate resilience; autonomous underwater systems; disaster risk reduction; field robotics; soft computing; and ocean-based renewable energy (wave, tidal power and ocean thermal energy).

Research summary:

Dr. Levy is globally renowned for his original interdisciplinary engineering design 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 renewable energy; field robotics, autonomous underwater vehicles, hazard mitigation, and computational intelligence.

The recipient of several prestigious research and teaching awards,  Dr. Levy's disaster risk reduction research uses a wide range of engineering and statistical methodologies in order to promote climate 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 Management, he has published hundreds of peer reviewed publications and enjoys sharing his insights with scholars around the world.

Ph.D., Systems 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 MIT, the University of California at San Diego, Kyoto University, the University of Hawaii at Manoa, the Universit of Sydney, Yale University, the University of Waterloo, and the University of Virginia.

Field Robotics

Climate Resilience and Adaptation

Computational Intelligence and Soft Computing

Marine Based Energy

Probabilistic Robotics

Intelligent Autonomous Underwater systems

Disaster Risk Reduction

Communication Networks