Papers
3
Total Citations
35
H-Index
3
About
Sung Q Lee is a pioneering researcher at the intersection of neuroengineering, bio-MEMS, and brain-machine interfaces. His most impactful work introduces a transformative approach to studying social cognition: a mobile edge computing (MEC) headstage that wirelessly tracks brain activity in freely interacting mice. By embedding LEDs and real-time neural event detection, this system offers an unprecedented "bird’s-eye view" of how specific brain circuits drive social behaviors—a breakthrough for understanding disorders like autism. This landmark 2020 study has already garnered 23 citations, reflecting its rapid influence. Lee’s earlier foundational work includes developing MEMS-based power generators driven by self-organized cardiomyocytes (9 citations), demonstrating his versatility in bio-harvesting energy from living tissues. He has also advanced brain-to-machine communication by generating active brainwave patterns for EEG-based BCIs (3 citations), contributing to more intuitive control systems. Across these projects, Lee uniquely bridges microsystems engineering and neuroscience, creating tools that capture neural dynamics in naturalistic settings. His work is essential reading for researchers building next-generation neurotelemetry and closed-loop neuromodulation devices.
Research Focus
Key Achievements
Top Papers
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- 3Active brainwave pattern generation for brain-to-machine communication3 citations · 2017