Alum Shinkyu Park wins 2022 O. Hugo Schuck Award

Alum Shinkyu Park wins 2022 O. Hugo Schuck Award

Alum Shinkyu Park wins 2022 O. Hugo Schuck Award

Shinkyu Park. Photo credit: KAUST.
Shinkyu Park. Photo credit: KAUST.

Congratulations to alum Shinkyu Park (ECE Ph.D. 2015), who has won the American Automatic Control Conference’s 2022 O. Hugo Schuck Award. The award recognizes the best papers presented at the previous year’s American Control Conference. Park and his co-author and fellow ECE alum Naomi Leonard’s paper, “KL Divergence Regularized Learning Model for Multi-Agent Decision Making,” was the only paper to win the award for 2022.

This work, entered in the “theory” category, was written while Park was an associate research scholar with Leonard at Princeton University. Leonard (EE Ph.D. 1994) is the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering at Princeton. She is the recipient of the 2023 IEEE Control Systems Award “for contributions to applications and theory for control of nonlinear and multiagent systems.” | Read our story here |

At Maryland, Park was a student of Professor Nuno Martins (ECE/ISR), himself a winner of the O. Hugo Schuck Award in 2006 for "Fundamental Limitations of Performance in the Presence of Finite Capacity Feedback," which he wrote with M. A. Dahleh.

Park and Leonard’s paper investigated a new mathematical framework to study decision making in multi-agent systems. Applications range from route selection for autonomous vehicles to regulating consumer electricity demands in smart grids.

Traditionally, game theory models have been used in multi-agent decision-making problems to determine how incentivized decision-making agents could learn and make effective decisions. However, the agents tend to make suboptimal decisions when the incentive mechanism is delayed.

Park says, “In our paper, we proposed a novel higher-order decision-making model that allows the agents to make effective decisions despite delayed incentives. Our findings can be applied to design algorithms for networked robots to learn to coordinate and carry out team missions in real-world applications where delay in data communication is prevalent.”

Park is an assistant professor in the Electrical and Computer Engineering Department at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He is the principal investigator of Distributed Robotics and Autonomy (DSA) Group.

—Thanks to David Murphy of KAUST for the photo and portions of this story.

Related Articles:
Alum Naomi Leonard is 2023 IEEE Control Systems Award recipient
New model can help decisionmakers planning to retrofit buildings for energy efficiency
Alumna Naomi Leonard wins Hendrik W. Bode Lecture Prize
NASA's Douglas-Bradshaw a Role Model for STEM Students
Alumnus David Bader Named Association for Computing Machinery Fellow
UMD engineering alumni contributions aboard James Webb Space Telescope
NEXTOR aviation operations research uses machine learning to model system delay and predict high flight delay days
Biofilm-fighting catheter insert research named 'featured article' in IEEE TBME
Michael Fu part of NSF project to improve kidney transplant access and decision-making
Alumna Project Manager for NASA’s First Mission to Study Jupiter’s Trojan Asteroids

July 20, 2022

Prev   Next

Current Headlines

Do Suddenly Self-Centered Brain Cells Promote Disease?

UMD Researchers: DART Probe an Initial Step in Planetary Defense

Energy patents lead the way for UMCP

Introducing the Early Career Distinguished Alumni Society

UMD Research Sheds Light on Gender Imbalance in Construction

Chunsheng Wang Presents to U.S. Government Panel on Advances in Li-Ion Battery Technology

Compact Electron Accelerator Reaches New Speeds with Nothing But Light

UMD Undergraduate Team Wins VFS Competition

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar