People

Portrait of Mohammad Omama

PhD student

Mohammad Omama

At the lab since 2023

Efficient, adaptive representation learning for resource-constrained search, retrieval and visual localization

  • Amazon AI PhD Fellowship 2025
  • Amazon intern 2025
  • PhD Student, Electrical and Computer Engineering, UT Austin

mohd [dot] omama [at] utexas [dot] edu

Resume (pdf)

Personal Website

Office
Anna Hiss Gym 2.204, 2501 Wichita St,
Austin, TX 78712

Mohammad Omama is a Ph.D. student in ECE since Fall 2023. He holds an MS in CSE with specialization in Robotics from IIIT Hyderabad.

His research focuses on developing adaptive and efficient representation learning techniques tailored for resource-constrained search and retrieval systems.

Outside of research, he is an avid reader and spends his free time reading about psychology, life, history, and poetry.