MARAD grant will help researchers explore options for a standardizing method of measuring disruptive buildup
Aims to make AI more efficient and deployable wherever power is limited
New system estimates tongue, lip, and airflow movements from audio alone, even in languages it was never trained on.
University of Maryland MATRIX Lab event encourages collaboration to bring ideas to impact
Investment from state will go toward training both job seekers and working professionals
Event on July 15 will highlight industry/academia collaboration opportunities
Seven of 11 collaborative projects include contributions from engineering
Successfully designed and implemented application-specific integrated circuits
Will develop new approaches for predicting atmosphere turbulence using advanced imaging systems and AI
Recognized for contributions to the department and the university.
