- Deep learning theory, with applications to object recognition, signal processing, and neuroscience
- Machine learning for personalized education to improve learning outcomes in conjunction with the OpenStax Tutor team
- Computational imaging for flat, lensless cameras, looking around corners, light field cameras, time of flight cameras, phase retrieval, and imaging through scattering media
Rice DSP postdoc alums have gone on to academic positions at Cornell, Columbia, CMU, Georgia Tech, U. Maryland, U. Wisconsin, U. Minnesota, NCSU, McGill, EPFL, and KU-Leuven. Email <richb at rice dot edu> for more information.