Computational Imaging and

Machine Learning Laboratory

We develop new technologies in computational imaging, machine learning, and their applications in biomedicine, Earth science, security and defense.

Our work ranges from theory to real tested implementations. We house SOTA laboratories for spectral imaging, X-ray spectral tomography and LiDAR.

Applications from students interested in joining our group who share our passion for imaging and machine learning are welcomed.

Dr. Arce

Dr. Gonzalo R. Arce

Short CV       Long CV

Charles Black Evans Professor in the Electrical and Computer Engineering Department. 

JPMorgan-Chase Faculty Fellow at the Institute of Financial Services Analytics.

Nokia-Fulbright Distinguished Chair in Information and Communications Technologies.

  • Life Fellow of the IEEE
  • Fellow of the SPIE
  • Fellow of the NAI
  • Fellow of the Center of Advanced Studies
  • Fellow of OPTICA (Formerly the Optical Society of America), 2023.