Thomas Reeves III

Ph.D Student, Computer Science
Computer Science Department
University of Southern California

I am a first-year Ph.D. student at the Network Reconnaissance Lab at USC advised by Prof. Corey Baker and a GEM Fellow. My research focuses on the intersection of robot learning and wireless networks. Previously, I completed my master's degree in computer science and artificial intelligence at USC and my bachelor's in computer science at UC Irvine.

Education

2024 - 2028 Ph.D in Computer Science, University of Southern California (Current)
2022 - 2024 M.S. in Artificial Intelligence, University of Southern California
2018 - 2022 B.S. in Computer Science, University of California, Irvine

Publications

  1. ICML 2023 Poster
    Learning to Design Analog Circuits to Meet Threshold Specifications.
    Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox
    International Conference on Machine Learning (ICML), 2023
    PDF Demo Website
  2. Best Poster Award
    Improving Reliability of Large Language Models for Nuclear Power Plant Diagnotics
    Thomas Reeves, Cody Walker, Linyu Lin, Vivek Agarwal
    Idaho National Lab Intern Poster Session (INL) , 2024
    INL Best Poster in Nuclear Operations 2024
    Poster

Experience

Aug 2023 - May 2024 Graduate Research Assistant
Supervised by: Erdem Bıyık at USC Learning and Interactive Robot Autonomy Lab
Dec 2022 - May 2024 Graduate Research Assistant
Supervised by: Laurant Itti at USC iLab
Dec 2021 - Jan 2023 Undergraduate Research Assistant
Supervised by: Roy Fox and Hamidreza Aghasi at Intellegent Dynamics Lab UCI

Awards

  • 2024 GEM Employer Fellow: Ph.D stipend and funding provided by National GEM Consortium and selected as an intern at Idaho National Lab.