Electrical and Computer Engineering
Computer Science
Achuta Kadambi
Associate Professor
- 56-147J Engr. IV
- achuta@ee.ucla.edu
- (310) 206-0853
Biography
Open in a new tabAchuta Kadambi (PhD, MIT ‘18) is a tenured Associate Professor at UCLA in Electrical Engineering and Computer Science. He leads an AI research group that focuses on computer vision and spatial intelligence. He has co-founded two California companies: Akasha Imaging (acquired in 2022, now with Alphabet) and Vayu Robotics (acquired in 2025, now with Nasdaq: SERV).
He is the recipient of early career awards including from NSF (CAREER), DARPA (YFA), ARO (YIP), IEEE (HKN under 35 award), and Forbes (30 under 30). He is an inventor on 40+ issued US patents and has recently co-authored a textbook on computational imaging, published by the MIT Press.
Faculty Information
Research and Interests
Notable Publications and Books
Please see visual.ee.ucla.edu for latest papers, patents, etc.
In the News
- Using Physics Data to Refocus Computer Vision | Communications of the ACM, August 2023
- Computer Vision Technique Leverages Reflections to Image the World | Tech Xplore, May 2023
- Meet the Scientists Who Want to Make Medical Devices Work for Everyone, Finally | Inverse, February 2023
- A Quick Remedy Proves Elusive for Life-Saving Pulse Oximeter’s Problems with Darker Skin | Forbes, January 2023
- UCLA Visual Machines Group develops biosensor that could eliminate racial bias | The Daily Bruin, September 2022
- University Of California, Los Angeles: Remote Heart Rate Sensors Can Be Biased Against Darker Skin. A UCLA Team Offers A Solution | India Education Diary, August 2022
- Remote Heart Rate Sensors Can Be Biased Against Darker Skin. UCLA team offers solution | Tech Xplore, August 2022
- Suffocating from Medical Bias | American Scientist, July 2022
- Flawed oxygen readings may be behind Covid-19’s toll on people of color | POLITICO, July 2022
- From oximeters to AI, where bias in medical devices may lurk | The Guardian, November 2021
- Fixing Medical Devices That Are Biased against Race or Gender | Scientific American, June 2021
- UCLA prof says racial bias in medical devices is based in physics | Medical Design and Outsourcing, April 2021
Education
- PhD, Massachusetts Institute of Technology 2017
- MS, Yale University 2012
- BS, University of California, Berkeley 2011
Awards and Recognition
Please see visual.ee.ucla.edu for latest
- 2021, NSF CAREER Award
- 2021, DARPA Young Faculty Award (YFA)
- 2021, Army Research Office Young Investigator Award (ARO YIP)
- 2021, National Academy of Engineering (NAE) Frontiers in Engineering
- 2020, Senior Member, National Academy of Inventors
- 2020, Google Faculty Award
- 2020, Young Faculty Award, Sony Imaging
- 2019, Forbes 30 Under 30, Science
- 2018, Best Paper Award, Int Conf on Comp. Photography
- 2017, Best Papers Issue, Int Journal of Computer Vision
- 2016, Rahamimoff Award, US-Israel Science Foundation
- 2016, Lemelson-MIT Student Prize
- 2015, Scientific American, World Changing Idea of 2015
- 2014, Qualcomm Innovation Fellowship
- 2013, Draper Fellowship
- 2011, Chancellor’s Scholar, Univ Calif, Berkeley
Courses
- EE 102 - Digital Signal Procesing (UG)
- CS 188 - Computer Vision (UG)
- EE 239 - Computational Imaging (G)
- EE 211 - Digital Image Processing (G)
Professional Affiliations
- Program Chair, CVPR CCD
- Program Committee, ICCP
- Program Committee, CVPR