Published several papers in the field of computational imaging, including 'Deep Learning Extended Depth-of-field Microscope' in Proceedings of the National Academy of Sciences, 'Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics' in Optica, 'Mesoscopic Calcium Imaging in a Head-Unrestrained Male Non-Human Primate Using a Lensless Microscope' in Nature Communications, 'NeuWS: Neural Wavefront Shaping for Guidestar-Free Imaging Through Static and Dynamic Scattering Media' in Science Advances, 'CoIR: Compressive Implicit Radar' in IEEE Transactions on Pattern Analysis and Machine Intelligence, and 'First-Arrival Differential Counting for SPAD Array Design' in Sensors.
Research Experience
Research focuses on developing technologies to solve hard and challenging problems in imaging and vision, such as deep learning extended depth-of-field microscopes, foveated thermal imaging systems, lensless microscopes for calcium dynamics in freely moving non-human primates, neural wavefront shaping for guidestar-free imaging, compressive implicit radar, and SPAD array designs.
Background
Research Interests: Computational imaging, computer vision, sensor design, optical design, electronic design, signal processing, and machine learning algorithms. Professional field: computational imaging or more generally computational sensing.