Achuta Kadambi
ASSOCIATE PROFESSOR
ELECTRICAL AND COMPUTER ENGINEERING
COMPUTER SCIENCE
56-147J Engr. IV
Email: achuta@ee.ucla.eduPhone: (310) 206-0853
Websites
Achuta 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.
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.
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