Research Synopsis

My research involves interdisciplinary problems at the intersection of AI, network science, and social sciences that arise in complex, strategic, and network-structured domains. My publication venues are AI Journal, ACM TEAC, AAAI, AAMAS, etc. Notably, a paper with my undergraduate student Tucker Gordon '17 won the Best Paper Award at AAMAS 2018 and another with my undergraduate student Evan Albers '23 won the Best Paper Runner-Up Award at AAMAS 2024. My research is supported by NSF and Bowdoin Faculty Research Fellowship.

The primary vein of my research is on modeling, learning, and inference in networked strategic settings (where one's action affects others and vice versa). I use game theory to model complex systems like social and economic networks and machine learning to learn these models using real-world data. The goal is to answer interesting inference questions like: Who are the most influential senators in Congress? Is there a small coalition of senators who can prevent filibusters? In the setting of microfinance markets, what would be the effect of an interest rate cap? How can a donor inject subsidies to make loans more affordable? I have also dabbled a little bit in computational geometry and image analysis of art.

I'm always looking to work with interested Bowdoin students! You'll find more about my research here:

Best Paper Award at AAMAS 2018 in Sweden. Joint work with my undergrad student Tucker Gordon '18 (not in photo).

Best Paper Runner-Up Award at AAMAS 2024 in New Zealand. Joint work with my undergrad student Evan Albers '23 (in photo) and my dear colleague in Economics, Matthew Botsch.


Note: CS conferences are usually strictly peer-reviewed. Many of the conferences I publish in (e.g., AAAI, NeurIPS, AAMAS, UAI) are ranked very highly by Computing Research and Education. Among the journals, ACM SoCG and Artificial Intelligence, a flagship journal in AI, are also ranked very highly. The Discrete & Computational Geometry journal is ranked among the top (A) by the Australian Mathematical Society.


Conference (Peer-Reviewed)

Book Chapters

PhD Dissertation

Master's Thesis


  • Mohammad T. Irfan. Unsupervised Classification of Rhythms and Melodies Based on a Geometric Representation. Graduate Research Conference (GRC), Department of Computer Science, Stony Brook University, 2008. (Recipient of the Best Poster Award)

Work in Progress

  • Mohammad T. Irfan, Chandrasekhar Mallarapu, and Luis E. Ortiz. Survey Propagation for Graphical Games. Preprint.

If Winter comes, can Spring be far behind? -- Percy Bysshe Shelley