Information and Decision Science Laboratory

Information and Decision Science Laboratory

Welcome to Professor Andreas Malikopoulos’ Information and Decision Science (IDS) lab!

The overarching goal of the IDS Lab is to enhance understanding of large-scale, complex cyber-physical systems (CPS) and establish rigorous theories and algorithms for making CPS able to realize how to improve their performance over time while interacting with their environment. The emphasis is on applications related to emerging mobility systems (e.g., connected and automated vehicles, shared mobility), sociotechnical systems, social media, and smart cities.

In the IDS lab, we believe that diversity of age, experience, race, ethnicity, religion, and gender can contribute to creating a dynamic intellectual group. We are committed to creating a diverse and inclusive environment of mutual respect and one that rejects discrimination, prejudice, and intolerance.

CISE Seminar at Boston University: Andreas Malikopoulos

Dr. Andreas Malikopoulos delivered a talk entitled "Optimal Path Planning and Coordination for Connected and Automated Vehicles" as the CISE Resident Scholar in the Center for Information & Systems Engineering at Boston University on October 9, 2020.

Accomplishments of the students in the IDS Lab

The students of the IDS Lab are striving and already making an impact with their research. This is just a snapshot of their accomplishments since the establishment of the IDS lab in the summer of 2017.

ASME Fellow

Andreas Malikopoulos, an associate professor in the Department of Mechanical Engineering, has been elected Fellow of the American Society of Mechanical Engineers (ASME). While ASME has more than 130,000 members worldwide, there are fewer than 3,500...