Kushagra Tiwary

Camera Culture
  • Research Assistant

Kushagra (Kush) is a graduate student in the Camera Culture Group and graduated from University of Illinois-Urbana Champaign with a degree in Electrical and Computer Engineering. His north star is to design completely novel and unique imaging systems that can thrive in extreme setups to observe uncharted areas inside our brains, bodies, and beyond. 

Research: Kushagra's research lies across the Perception stack- at the intersection of Sensing, Imaging, Vision, and their downstream applications. His current projects focus on building algorithms that exploits hidden cues, such as shadows, reflections or polarization, to image the hidden parts in the scene.

Background: Kushagra's background is in Perception (Robotics), Computer Vision and MultiTask Learning. Prior to MIT, he worked at Optimus Ride (acquired in 2022) where he led the design and deployment of a fleet-wide MultiTasking Computer Vision System for next generation autonomous vehicles. In addition he also led, the dataset generation for Vision and Lidars modalities, and designed the Active Learning Framework to solve the lon… View full description

Kushagra (Kush) is a graduate student in the Camera Culture Group and graduated from University of Illinois-Urbana Champaign with a degree in Electrical and Computer Engineering. His north star is to design completely novel and unique imaging systems that can thrive in extreme setups to observe uncharted areas inside our brains, bodies, and beyond. 

Research: Kushagra's research lies across the Perception stack- at the intersection of Sensing, Imaging, Vision, and their downstream applications. His current projects focus on building algorithms that exploits hidden cues, such as shadows, reflections or polarization, to image the hidden parts in the scene.

Background: Kushagra's background is in Perception (Robotics), Computer Vision and MultiTask Learning. Prior to MIT, he worked at Optimus Ride (acquired in 2022) where he led the design and deployment of a fleet-wide MultiTasking Computer Vision System for next generation autonomous vehicles. In addition he also led, the dataset generation for Vision and Lidars modalities, and designed the Active Learning Framework to solve the long tail problem across modalities. 

As a kid, Kushagra has moved around a lot, living in India, Yemen, Spain, and United States by the age of 16. He speaks fluent Spanish and Hindi, and enjoys  exploring the multicultural aspects of the world. He loves to play in USTA leagues around the Boston area in addition to golf and soccer.