Vivek Boominathan
Scholar

Vivek Boominathan

Google Scholar ID: wwf-WgUAAAAJ
Research Assistant Professor, ECE, Rice University
Computational PhotographyComputer VisionMachine learning
Citations & Impact
All-time
Citations
1,771
 
H-index
16
 
i10-index
26
 
Publications
20
 
Co-authors
38
list available
Resume (English only)
Academic Achievements
  • Published numerous papers in journals such as Science Advances, CVPRW, Optica, Biomedical Optics Express, IEEE TPAMI, covering topics like neural wavefront shaping for guidestar-free imaging, implicit neural representations for unsupervised turbulence mitigation, foveated thermal computational imaging using all-silicon meta-optics, real-time deep-learning aided lensless microscope, etc.
Research Experience
  • An Assistant Research Professor in Electrical and Computer Engineering at Rice University; part of the Digital Health Initiative, developing machine learning and imaging tools to reduce SWaP-C (size, weight, power, and cost) while improving performance in microscopy and medical imaging; a member of the Geometry, Light, & Imaging lab (GLEE lab).
Background
  • Assistant Research Professor, with research interests spanning computer vision, machine learning, applied optics, and nanofabrication. Current focus is on building end-to-end systems that integrate novel optics, sensors, and machine learning algorithms for applications in robotics, autonomous driving, wearables, medical sensing, machine vision, IoT, and virtual/augmented reality. Custom fabricated optics and chips are used to overcome limitations of traditional lenses and image sensors regarding size, weight, and functionality. Broadly, the research is in computational imaging, drawing from foundations of computer vision, computer graphics, machine learning, wave optics, photonics, and materials science.