Energy Efficient High-Performance Computing (EEHPC) Lab

Overview

Our research focus is designing medical, health and wearable devices. Our methods are highly accurate and adopt high-performance computing methods for emerging fields in artificial intelligence, robotics and autonomous navigation, smart health monitoring, and . 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, and public utilities.

Prospective PhD students please contact me at tinoosh@jhu.edu

News Highlights

For the latest EEHPC Lab news, project updates, publications, and media highlights, please visit our LinkedIn page: EEHPC Lab on LinkedIn