In the Media
Shayok Mukhopadhyay, associate professor of electrical and computer engineering, demonstrates SPOT, a robotic dog powered by artificial intelligence, which is designed to perform specific tasks in response to emergencies.
Shayok Mukhopadhyay, Ph.D.
Electrical Engineering & Computer Engineering and Computer Science Department
Tagliatela College of Engineering
Education
Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology
M.Sc. in Electrical Engineering, Utah State University
B.E. in Electrical Engineering, College of Engineering Pune (COEP), Savitribai Phule Pune University
About Shayok
Shayok Mukhopadhyay (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2014. Following this, he was with the Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates (UAE), till Aug. 2023. His research interests include robotics and automation, control systems, nonlinear systems, mechatronics, renewable energy systems, computational methods, battery modeling and failure detection, and robotic path planning. Dr. Mukhopadhyay was the recipient of the Award for the Best Presentation in the Nonlinear Systems III Session from the American Control Conference 2014. He was a part of a five-person team that received the national category of the UAE, AI and Robotics for Good Awards in 2017, for developing an in-pipe inspection robot. He also served as the Chair of IEEE UAE section CSS/RAS/EMBS joint chapter from 2022 to 2023.
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In the Media
Shayok Mukhopadhyay, associate professor of electrical and computer engineering, and Vahid Behzadan, assistant professor of cybersecurity, data and computer science, computer, and electrical engineering, and the SAIL Lab director, are programming a robotic dog powered by artificial intelligence that is designed to perform specific tasks in response to emergencies.Kenneth Gray, a distinguished lecturer of homeland security, emergency management, and criminal justice, says this technology could extend to law enforcement in high-risk and counterterrorism situations.