Our research focus is designing highly accurate and high-performance computing methods for emerging fields in artificial intelligence, robotics and autonomous navigation, smart health monitoring, and Cyber Physical Systems. Our team has developed efficient computing methods through cross-layer design approaches in algorithms, architecture, hardware and system integration which result in tiny and energy efficient wearable/mobile computing devices. This can revolutionize several fields including healthcare, transportation, autonomous navigation, security, surveillance, and public utilities.
EEHPC Lab Featured in Baltimore CBS News WJZ TV in AI Series, “Cutting-edge UMBC research uses artificial intelligence and robots to assist national security, February 16 2023.
EEHPC Lab Featured in UMBC News Story: “UMBC experts guide TV viewers through the promises and pitfalls of artificial intelligence, February 2023.
EEHPC Lab Featured in Twitter by CBS News Baltimore WJZ Investigator Mike Hellgren for discussing the use of tiny drones for disaster response.
EEHPC Lab Featured in UMBC News Story for First-placed Award ARL Sponsored Hackathon and Presentation in Human-Guided System Adaptation (HSA) Science Challenge and Hackathon Week, Columbia University, NY, August,2022.
EEHPC Lab Featured UMBC News Story: “UMBC’s Tinoosh Mohsenin develops COVID-Matter framework to determine severity of respiratory disease, 2022.
EEHPC Lab Featured in UMBC News: “UMBC celebrates U.S. News Best Grad School rankings in engineering, public affairs, 2022.
Prof. Mohsenin Featured in UMBC News: “UMBC to partner with UMD, Army Research Lab to advance AI and autonomy through $68M collaboration, 2022.
Prof. Mohsenin featured in UMBC News, 2017.
Prof. Mohsenin featured UMBC Magazine, “UMBC Researchers Explore the New Great Frontier – The Brain”.