ARUNESH SINHA
Short Bio: Dr. Arunesh Sinha is an Assistant Professor in the Department of Management Science & Information Systems, Rutgers Business School at Rutgers University. Prior to this, he was an Assistant Professor in the School of Computing and Information Systems at Singapore Management University. Prior to the position in Singapore, Dr. Arunesh Sinha was 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.
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 won the best demo award at AAMAS 2021, and an honorable mention at ACSAC 2022.
Dr. Sinha's work has provided novel approaches to solve the optimization problem used in computing Stackelberg equilibrium in security games and explored learning aspects in multi-agent models. This novel Stackelberg game approach was tested 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. Dr. Sinha has explored how to learn and act robustly in multi-agent settings.
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 won the best demo award at AAMAS 2021, and an honorable mention at ACSAC 2022.
Dr. Sinha's work has provided novel approaches to solve the optimization problem used in computing Stackelberg equilibrium in security games and explored learning aspects in multi-agent models. This novel Stackelberg game approach was tested 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. Dr. Sinha has explored how to learn and act robustly in multi-agent settings.
Professional Service
Program Chair
- (Technical Program Chair) GameSec (2021)
- (Organizer) AICS Workshop (2016, 2017, 2018, 2019, 2020, 2022)
- (Organizer) AISec Workshop (2015, 2016, 2017)
SPC Member
- International Joint Conference on AI (IJCAI) 2017, 2021
- AAAI Conference on Artificial Intelligence (AAAI) 2022
PC Member
- Neural Information Processing Systems (NeurIPS) 2019, 2020, 2021
- International Conference on Machine Learning (ICML) 2019, 2021
- AAAI Conference on Artificial Intelligence (AAAI) 2017, 2018, 2019, 2020, 2021
- International Joint Conference on AI (IJCAI) 2015, 2016, 2018, 2019 (distinguished PC award), 2020
- Autonomous Agents and Multiagent Systems (AAMAS) 2015, 2016, 2017, 2018, 2019, 2020
- Decision and Game Theory for Security (GameSec) 2016, 2017, 2018, 2019
- 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
