Aviad Levis
Scholar

Aviad Levis

Google Scholar ID: PAiLtm0AAAAJ
University of Toronto
Computational ImagingScientific ImagingInverse ProblemsAI4Science
Citations & Impact
All-time
Citations
6,653
 
H-index
30
 
i10-index
45
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • In March 2024, 'Single View Refractive Index Tomography with Neural Fields,' led by Brandon Zhao, was accepted to CVPR; also in March 2024, a paper on uncertainty quantification in cloud tomography, led by Roi Ronen, was published on arXiv.
Research Experience
  • Postdoctoral researcher at Caltech's Computing + Mathematical Sciences department, working on imaging black holes with the Event Horizon Telescope (EHT). Led research into uncertainty quantification in cloud tomography.
Education
  • Ph.D. from Technion (EE) under the supervision of Yoav Schechner. Thesis: Volumetric Imaging of the Natural Environment.
Background
  • Develops computational imaging tools for scientific discovery. His work is interdisciplinary, at the intersection of artificial intelligence and physics, with an interest in defining and solving novel inverse problems in diverse fields such as astrophysics and climate.
Miscellany
  • Will join the Department of Computer Science at the University of Toronto as an assistant professor starting July 2024; looking for postdocs and students to join his research group.