Short Bio: Dr. Arunesh Sinha is an Assistant Research Scientist in the Computer Science and Engineering Department at the University of Michigan. Prior to joining University of Michigan, he was a postdoctoral scholar with Prof. Milind Tambe in the Computer Science Department at the University of Southern California. He received his Ph.D. from Carnegie Mellon University, where he was advised by Prof. Anupam Datta. He obtained his undergraduate degree in Electrical Engineering from IIT Kharagpur in India. He worked as a software engineer before starting his Ph.D. He has industry research experience in the form of internships at Microsoft Research, Redmond and Intel Labs, Hillsboro.  

Dr. Sinha has conducted research at the intersection of security, machine learning and game theory. His interests lie in the theoretical aspects of multi-agent interaction, machine learning, security and privacy, along with an emphasis on the real-world applicability of the theoretical models. He was awarded the Bertucci fellowship at CMU in appreciation of his novel research. His paper was nominated for the best application paper at AAMAS 2016. He is the chair of two of the leading workshops at the intersection of AI and computer security: AISec and AICS.

Dr. Sinha's work has provided novel approaches to solve the optimization problem used in computing Stackelberg equilibrium in security games. This approach has allowed solving large scale security games, where prior methods such as column generation completely fail to scale up. This novel approach is being used in an airport screening application by TSA (called the DARMS project). Dr. Sinha has also provided mathematical foundations for the use of learning in security games, revealing the circumstances in which the composition of learning and optimization leads to sub-optimal outputs.
Professional Service
Program Chair
SPC Member
  • International Joint Conference on AI (IJCAI) 2017

PC Member
  • International Conference on Machine Learning (ICML) 2019
  • AAAI Conference on Artificial Intelligence (AAAI) 2017, 2018, 2019
  • International Joint Conference on AI (IJCAI) 2015, 2016, 2018, 2019
  • Autonomous Agents and Multiagent Systems (AAMAS) 2015, 2016, 2017, 2018, 2019
  • Decision and Game Theory for Security (GameSec) 2016, 2017, 2018
  • IRMAS - Intelligent Robotics and Multi-Agent Systems track of SAC 2016
  • Workshop on Foundations of Computer Security (FCS) 2016 
  • Workshop on Security and Multi-agent Systems (SecMAS) 2016
External Reviewer
  • Network and Distributed System Security Symposium (NDSS) 2016
  • ACM-SIAM Symposium on Discrete Algorithms (SODA) 2016
  • Privacy Enhancing Technologies Symposium (PETS) 2016, 2018
  • Uncertainty in Artificial Intelligence (UAI) 2014
  • IEEE Security and Privacy 2013
  • ACM Conference on Computer and Communications Security (CCS) 2012
  • ACM AsiaCCS 2012
  • IEEE Computer Security Foundations (CSF) 2013
  • European Symposium on Research in Computer Security (ESORICS) 2013
  • Workshop on Privacy in the Electronic Society (WPES) 2013
  • IEEE Communications Letters 2015, 2016