Roy Dong

For More Information

• https://roydong.web.illinois.edu/

Education

• Ph.D. in Electrical Engineering and Computer Sciences; University of California, Berkeley; 2017
• B.S. Honors in Economics; Michigan State University; 2010
• B.S. Honors in Computer Engineering; Michigan State University; 2010

Academic Positions

• Assistant Professor; University of Illinois at Urbana-Champaign; Industrial and Enterprise Systems Engineering; August 2023 - Present
• Research Assistant Professor; University of Illinois at Urbana-Champaign; Electrical and Computer Engineering; January 2019 - August 2023
• Postdoctoral Researcher; University of California, Berkeley; Berkeley Energy and Climate Institute; May 2017 - May 2018

Research Interests

• data manipulation, incentive design, and privacy
• Game theory
• Cyber-physical systems

Keywords

• Cyberphysicalhuman systems

Selected Articles in Journals

• Y. Wang, M. Ornik, R. Dong, "Connection of Optimal Stopping Time to s-t Cut Problems on Trees," IEEE Control Systems Letters, 2023; vol. 7, pgs. 3729-3734.
• P. Du, R. Dong, K. R. Driggs-Campbell, "Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics," IEEE Transactions on Automatic Control, 2022; vol. 68, issue 6, pgs. 3752-3759.
• I. Konstantakopoulos , K. Hamilton, Y. Murthy , T. Veeravalli, C. Spanos, R. Dong,"smartSDH: An Experimental Study of Mechanism-Based Building Control," IEEE Systems Journal, 2022; vol. 16, issue 4, pgs. 6289-6299.
• T. Westenbroek, R. Dong, L. J. Ratliff, S. S. Sastry, "Competitive Statistical Estimation with Strategic Data Sources," IEEE Transactions on Automatic Control, 2019; vol. 65, issue 4, pgs. 1537-1551.
• L. J. Ratliff, R. Dong, S. Sekar, T. Fiez, "A Perspective on Incentive Design: Challenges and Opportunities," Annual Review of Control, Robotics, and Autonomous Systems, 2019; vol. 2, pgs. 305-338.

Articles in Conference Proceedings

• S. Wadhwa, R. Dong, "Equilibrium Selection in Data Markets: Multiple-Principal, Multiple-Agent Problems with Non-Rivalrous Goods," American Control Conference (ACC), 2024.
• R. Dong, H. Zhang, L. J. Ratliff, "Approximate Regions of Attraction in Learning with Decision-Dependent Distributions," Artificial Intelligence and Statistics, 2023.