Our research covers analog and digital VLSI microsystems for adaptive neural computation and sensory information processing, from neuromorphic systems engineering and kernel-based learning machines to micropower implantableneural interfaces, acoustic microarrays, adaptive optics and biometric identification. The focus of our current research is on cross-cutting advances at the interface between in vivo and in silico neural information processing.
Linked below are some samples of the range of research projects currently underway in our lab:
Unobtrusive Neurotechnology and Immersive Human-Computer Interface for Enhanced Learning
Trainable Reconfigurable Development Platform for Large-Scale Neuromorphic Cognitive Computing
Scalable Nanomanufacturing of Fab Compatible High-Density Nanowire Arrays for High-Throughput Drug Screening