Date & Time:
April 5, 2024 10:00 am – 11:00 am
JCL 346
04/05/2024 10:00 AM 04/05/2024 11:00 AM America/Chicago Thanh Nguyễn (U of Oregon) – Data-Driven Decision Making in Adversarial Environments: Challenges and Applications JCL 346

Abstract: Many real-world problems require the creation of robust AI models that include both learning and planning for an agent (or a team of agents) in interaction with adversaries in a multi-agent environment. In such a complex setting, it is important to predict strategic behavior of the adversaries, as well as to anticipate potential adversarial manipulations that could deteriorate the learning outcomes and the decision quality of our agents. In this talk, I will discuss the challenges of modeling adversaries’ decision making and the security of machine learning in data-driven multi-agent competitive environments. I will present our algorithms to address these challenges that explore techniques in reinforcement learning, game theory, and optimization research. In addition, I will introduce some of the real-world applications of our algorithms in the domains of wildlife protection and public health.


Thanh Nguyen

Assistant Professor of Computer Science, University of Oregon

Thanh Nguyen is an Assistant Professor in the Computer Science department at the University of Oregon (UO). Prior to UO, she was a postdoc at the University of Michigan and earned her PhD in Computer Science from the University of Southern California. Thanh’s work in the field of Artificial Intelligence is motivated by real-world societal problems, particularly in the areas of Public Safety and Security, Conservation, and Public Health. She brings together techniques from multi-agent systems, reinforcement learning, and game theory to solve problems in those areas, with the focus on studying adversary behavioral learning and deception in competitive multi-agent environments. Thanh’s work has been recognized by multiple awards, including the IAAI-16 Deployed Application Award, and the AAMAS-16 Runner-up of the Best Innovative Application Paper Award. Her works in wildlife protection and public health were evaluated and/or deployed in multiple countries around the world.

Related News & Events

UChicago CS News

Non-Unital Noise Adds a New Wrinkle to the Quantum Supremacy Debate

Apr 05, 2024
In the News

The Science of Computer Security: An Interview with Grant Ho, Assistant Professor in Computer Science

Apr 02, 2024
UChicago CS News

Four Students Receive Honorable Mention in CRA Undergraduate Research Awards

Mar 25, 2024
UChicago CS News

Navigating the Intersection of Technology and Public Policy: The Journey of Ranya Sharma at UChicago

Mar 21, 2024
UChicago CS News

Assistant Professor Aloni Cohen Receives Prestigious Award for Groundbreaking Research in Machine Learning Complexity

Mar 20, 2024
UChicago CS News

Haifeng Xu named a AI2050 Early Career Fellow

Mar 11, 2024
UChicago CS News

FabRobotics: The Fusion of 3D Printing and Mobile Robots

Feb 27, 2024
UChicago CS News

Professor Andrew A. Chien on the Environmental Impacts of Technology

Feb 26, 2024
UChicago CS News

Assistant Professor Yanjing Li Awarded NSF CAREER Grant for Innovative Computer Architecture and Deep Learning Research

Feb 26, 2024
UChicago CS News

Prof. Rebecca Willett awarded the SIAG DATA Career prize

Feb 21, 2024
UChicago CS News

Argonne scientists use AI to identify new materials for carbon capture

Feb 19, 2024
UChicago CS News

Alumni Spotlight: Dixin Tang, Assistant Professor of Computer Science at UT Austin

Feb 05, 2024
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube