Rohith Reddy Gangam

About Me

I am a Member of Technical Staff at Resolve AI in San Francisco.

I completed my Ph.D. in Computer Science at the University of California, Irvine in 2026. My research is in theoretical computer science, with a focus on algorithmic game theory and related areas. I worked on robust matching, fair division, and cooperative games, with an emphasis on developing stable, fair, and robust algorithms for multi-agent settings.

Before this, I completed my B.Tech. in Computer Science at the Indian Institute of Technology Bombay. I then worked as an Analyst at Goldman Sachs before joining the Machine Learning Lab at IIIT Hyderabad as a Research Assistant, where I worked with Prof. Sujit Gujar on blockchain, machine learning, and mechanism design.

Research: Papers and Preprints

• On the Core of the b-Matching Game
  with S. Taherijam and V.V. Vazirani. (Preprint, 2025)
  
  
• Stable Matching: Dealing with Changes in Preferences
  with T. Mai, N. Raju and V.V. Vazirani. (AAMAS, 2026)
  
  
• Equitable Core Imputations for Max-Flow, MST and b-Matching Games
  with N. Garg, P. Shahkar and V.V. Vazirani. (AAMAS, 2026)
  
  
• Fair Rent Division: New Budget and Rent Constraints.
  with S. Taherijam and V.V. Vazirani. (FSTTCS, 2025)
  
  
• Robust Popular Matchings
  with M. Bullinger and P. Shahkar. (AAMAS, 2024)
  
  
• A Structural and Algorithmic Study of Stable Matching Lattices of “Nearby” Instances, with Applications
  with T. Mai, N. Raju and V.V. Vazirani. (FSTTCS, 2022)
  
  

Honors and Awards

• Dean’s Award, University of California, Irvine (2020)


• Merit-cum-Means Scholarship, IIT Bombay (2014-18)


• All India Rank 44 in IIT-JEE from an initial pool of 1.3 million candidates. (2014)


• Among top 45 students in India in Indian National Astronomy Olympiad. (2012,2013,2014)


• All India Rank 16 – Kishore Vaigyanik Protsahan Yojana Fellowship. (2013)


• Among top 35 in India in Indian National Junior Science Olympiad. (2012)

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