- Camera Culture
Kushagra (Kush) is a 1st year Ph.D. student in Camera Culture at the MIT Media Lab, MIT advised by Ramesh Raskar. He also completed his Master's Degree (S.M 2021) at MIT and his thesis lies at the intersection of Artificial Intelligence (AI), Vision, and Imaging.
Current Research: His overarching research interest is to create Artificial Intelligence (AI) for search and discovery- AI that uses co-design of cameras and algorithms to solve challenging problems in imaging and vision. Please stay tuned for more upcoming work!
Quick Links:
https://web.media.mit.edu/~ktiwary/KushagraTiwaryCV.pdf
Email: ktiwary@mit.edu
Writings: https://perceptive.substack.com/
Masters' Research: Kushagra's research lies at the intersection of Sensing, Imaging, Vision, and their downstream applications. His Master's Thesis, "Discovering, Learning, and Exploiting Visual Cues", explores visual cues, such as shadows, reflections, triangulation, and polarization, in the modern context of data-driven imaging techniques. His work has led to multiple patents, has been published in major computer vision and computational imaging conferences such as ECCV, ICCP, CVPR, and ICCV, and has received press coverage.
Background: Kushagra's background is in Perception (Robotics), Computer Vision, and Multi-Task Learning. Before 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. He graduated from the University of Illinois-Urbana Champaign in 2019 with a Bachelor's in Electrical and Computer Engineering.
As a kid, Kushagra moved around a lot, living in India, Yemen, Spain, and the United States by age 16. He is trilingual and speaks fluent Spanish and Hindi. He loves to play in USTA leagues around the Boston area in addition to golf and soccer.