معرفی
Umang Bhaskar is a Professor at the School of Technology and Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai, India. His research focuses on Algorithmic Game Theory, Combinatorial Optimization, and Approximation Algorithms. He has taught graduate courses including Algorithms and Data Structures and Computational Social Choice.
- Education: PhD from Dartmouth College, MTech from IIT Bombay, BSc from NIT Allahabad.
- Experience: Postdoctoral scholar at University of Waterloo and Caltech; software engineer at Tata Consultancy Services.
His research explores computational challenges in multi-agent systems, particularly equilibrium computation in games, mechanism design, and network routing. He co-organizes academic workshops like the 2024 Workshop on Algorithmic Mechanism Design in IIT Gandhinagar.
Recent publications span topics such as approximation algorithms, congestion games, and inverse optimization. His work has appeared at conferences including ESA, IJCAI, AAAI, and EC.
Students include Phani Raj Lolakapuri, a PhD candidate who tragically passed away in 2019. Umang collaborates with researchers like Siddharth Barman and Katrina Ligett.
