Information and Decision Science Laboratory

Information and Decision Science Laboratory


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Welcome to Professor Andreas Malikopoulos’s Information and Decision Science (IDS) lab! The overarching goal of the IDS Lab is to enhance understanding of complex systems and establish a holistic, multifaceted approach using scalable data and informatics to developing rigorous mathematical models and decentralized control algorithms for making engineering complex systems able to realize how to improve their performance over time while interacting with their environment. The emphasis is on applications related to connected and automated vehicles (CAVs), sociotechnical systems, energy and sustainable systems, smart cities and connected communities.

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...