Advancing Robot Intelligence Through Learning
Dr. Soroush Korivand is a tenure-track Assistant Professor in the Michael W. Hall School of Mechanical Engineering at Mississippi State University. His research is in robot learning and human-robot interaction, with a focus on how robots make decisions and adapt, especially under uncertainty, partial observability, and changing conditions.
With a Ph.D. in Mechanical Engineering and a Master’s degree in Computer Science, Dr. Korivand studies how robots can learn from experience and from people to act reliably in new situations. His group combines model-based planning and control with reinforcement learning, learning from demonstration, and human sensing, using manufacturing and rehabilitation as testbeds.
His awards include the Junior Faculty Outstanding Research Award at Mississippi State, the Best Paper Award at IEEE/ACM CHASE, the Mechanical Engineering Student of the Year at the University of Alabama, the Outstanding Teaching Award, and the Best Graduate Research Exposition Award in 2019 and 2022.
He mentors students, contributes to international conferences and journals, and collaborates across academia and industry to build robots that learn, adapt, and work safely with people.
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