Raghuram Ramanujan
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Raghuram Ramanujan

Visiting Assistant Professor
Department of Mathematics
3023 Chambers
Davidson College

704-894-2316
raramanujan@davidson.edu

I am a visiting faculty member in the Mathematics Department at Davidson College. I recently obtained my PhD in computer science from Cornell University, under the supervision of Bart Selman. My research interests span multiple sub-areas of Artificial Intelligence (AI), including automated planning, search, reasoning and machine learning.

Prior to Cornell, I was an undergraduate at Purdue University, where I earned a B.S. in Computer Engineering. My undergraduate research work was carried out under the supervision of Robert Givan and Alan Fern.

In the distant past, I spent a couple of years in Singapore completing my GCE A Levels as an SIA Youth Scholar.

When not in Chambers, I can usually be found stalking birds, playing ultimate, or biking.

Teaching

In fall 2012, I'm teaching CSC 121: Programming and Problem Solving and MAT 230: Sets and Proofs. In spring 2013, I'll be teaching CSC 221: Data Structures and MAT 230: Sets and Proofs.

Research

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My research interests span multiple areas of Artificial Intelligence, including single-agent and adversarial planning, combinatorial reasoning and machine learning. The focus of my thesis work was on understanding the factors that determine the success of sampling-based planning methods such as UCT.

CONFERENCE PAPERS

Applying UCT to Boolean Satisfiability (extended abstract)
Alessandro Previti, Raghuram Ramanujan, Marco Schaerf and Bart Selman
In SAT-11: Fourteenth International Conference on Theory and Applications of Satisfiability Testing, pp 373-374, Ann Arbor, MI, June 2011. Extended version in AI*IA 2011: Artificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence, pp 177-188, Palermo, Italy, September 2011.

Trade-offs in Sampling-Based Adversarial Planning
Raghuram Ramanujan and Bart Selman
In ICAPS-11: 30th International Conference on Automated Planning and Scheduling, Freiburg, Germany, June 2011. 
Honorable mention for best student paper

Understanding Sampling Style Adversarial Search Methods
Raghuram Ramanujan, Ashish Sabharwal and Bart Selman
In UAI-10: 6th Conference on Uncertainty in Artificial Intelligence, pp 474-483, Avalon / Catalina Island, CA, July 2010.

On Adversarial Search Spaces and Sampling-Based Planning
Raghuram Ramanujan, Ashish Sabharwal and Bart Selman
In ICAPS-10: 29th International Conference on Automated Planning and Scheduling, pp 242-245, Toronto, Canada, June 2010.

WORKSHOP PAPERS

On the Behavior of UCT in Synthetic Search Spaces
Raghuram Ramanujan, Ashish Sabharwal and Bart Selman
In Workshop on Monte Carlo Tree Search Methods, Freiburg, Germany, June 2011.

THESIS

Understanding Sampling-based Adversarial Search Methods
Raghuram Ramanujan
Ph.D. Thesis, Cornell University, Ithaca, NY, August 2012.