Daniel Lovell attended the University of North Georgia and the U.S. Naval Academy before a hiatus to pursue research in industry. During this time, he worked on software and systems for optoelectronics, and developed new applications for optical MEMS in programmable light systems, MEMS mirror-based lidar, robot vision, and human-robot-interaction.
Daniel received his B.A. in Computer Science from UC Berkeley in 2022. He is currently pursuing a Ph.D. in EECS there, with a focus on integrated circuit design.
Mixed-signal integrated circuits, integrated wireless communication systems, IC design automation, robust sensor networks