Welcome to the Distributed Decision-Making and Learning Lab
Welcome to the Distributed Decision-Making and Learning Lab at UConn (D2L2)! We design, analyze, control, and verify networked autonomous systems. Our research lies at the intersection of control theory, graph theory, game theory, cyber-physical systems, and machine learning, with recent interests in the design of safe and resilient networked multi-agent systems. Using the link below you will find some recent research areas we're currently working on.
Our Research
- Hierarchical Resilient Architecture of Networked Cyber-Physical Systems Against Attacks
- Attack-Resilient Reinforcement Learning for Heterogeneous Multi-Agent Systems
- Resilient and Optimal Hierarchical Control of Clustered DC Microgrids against FDI Attacks
School of Engineering News
- A Grad’s Remarkable Journey From Peru to the United States March 7, 2023
- Remembering Samuel Altschuler: Alum, Philanthropist, and Advisor February 27, 2023
- Andres Godoy Wins Chateaubriand Fellowship February 27, 2023
- First CyberLEAP Module Tackles Data Structures and Object-Oriented Design February 24, 2023
Department News
- Peter Willett elected to the Connecticut Academy of Science and Engineering March 16, 2023
- Prof. Bahram Javidi Named Fellow by AAAS February 2, 2023
- Yaakov Bar-Shalom Earns IEEE Pioneer Award February 2, 2023
- Assoc. Prof. Amy Thompson helps build energy portfolios that enhance sustainability and savings. January 19, 2023
Research News
- Important Notice on Proposal Submission Policy December 15, 2020
- NIH policy on registration/results posting of Basic Experimental Studies with Humans (BESH) December 1, 2020
- New FDA Guidance for Civil Money Penalties for ClinicalTrials.gov Non-Compliance August 26, 2020
- Guidance for Fall 2020 Lab, Field, and Human Subjects Research August 12, 2020