• Login
  • Register

Work for a Member company and need a Member Portal account? Register here with your company email address.

Post

Tzofi Klinghoffer selected for Department of Defense National Defense Science and Engineering Graduate Fellowship Program (DoD NDSEG)

Copyright

Photo courtesy of Tzofi Klinghoffer

Photo courtesy of Tzofi Klinghoffer

by Amanda Diehl

June 24, 2024

Topics
People
Groups

Tzofi Klinghoffer, a PhD student in the Camera Culture research group, has been selected for the Department of Defense National Defense Science and Engineering Graduate (DoD NDSEG) Fellowship Program, in the discipline area of Artificial Intelligence and Machine Learning.

Established in 1989, the DoD NDSEG Fellowship Program is a competitive, three-year fellowship that is awarded to US citizens, US nationals, and US dual citizens who intend to pursue a doctoral degree aligned to the DoD services Broad Agency Announcements (BAAs) in research and development at a US institution of their choice. Since the program's inception, over 4,400 fellowships have been awarded from over 70,000 applications received. 

See the full list of 2024 awardees
Related Content
Post Research

Two Media Lab students selected for Qualcomm Innovation Fellowship 2023

Tzofi Klinghoffer and Kushagra Tiwary are among the winners of the 2023 Qualcomm Innovation Fellowship for the North America Program.
Article Research

Researchers leverage shadows to model 3D scenes, including objects blocked from view

This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
Publication Research

DiSER: Designing Imaging Systems with Reinforcement Learning

Klinghoffer, Tzofi, et al. "DISeR: Designing Imaging Systems with Reinforcement Learning." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
Publication Research

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Klinghoffer, Tzofi, et al. "PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar." IEEE Conference on Computer Vision and Pattern Recognition (2024).