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.
The future of testing self-driving cars | UDAILY
With new grants in hand, Prof. Andreas Malikopoulos (left), doctoral student Heeseung Bang (right), and fellow researchers in the Information and Decision Science Lab are poised to continue their work on AI-driven vehicles in the safe, controlled environment of...
The IDS Lab’s Scaled Smart City (IDS3C) has been featured on the front cover of the IEEE Control Systems
Emerging mobility systems, for example, connected and automated vehicles (CAVs), shared mobility, and electric vehicles, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for...
Accomplishments of the students in the IDS Lab for 2021-2022
The students of the IDS Lab are striving and making an impact with their research. This is a summary of their accomplishments in the academic year 2021-22: Awards/Recognitions: Heeseung Bang, 2nd year PhD Student: Student Travel Support Award, IEEE Control...
Seminars by Andreas Malikopoulos
Dr. Andreas Malikopoulos gave talks at Rutgers University, Boston University, Stanford University, and MIT.
Accomplishments of the students in the IDS Lab 2020-2021
The students of the IDS Lab are striving and already making an impact with their research. This is just a snapshot of their accomplishments in the academic year 2020-21.
Research Spotlight: The Internet of Cars
The research of IDS lab on connected and automated Vehicles was featured in UDaily.
University of Michigan Control Seminar: Andreas Malikopoulos
Dr. Andreas Malikopoulos delivered a talk entitled "Optimal Time Trajectory with Provable Safety for Connected and Automated Vehicles" at the University of Michigan's control seminar series on February 5, 2020.
Seminar at Google: Andreas Malikopoulos
Dr. Andreas Malikopoulos delivered a talk entitled "Optimal Path Planning and Coordination for Connected and Automated Vehicles" at Google on January 27, 2020.
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.
Andreas Malikopoulos receives Outstanding Junior Faculty Award
Andreas Malikopoulos is recognized for his work in several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems.
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.
IDS Research on Connected and Automated Vehicles
Research of IDS students on connected and automated vehicles has led to promising results.
Andreas Malikopoulos Honored with IEEE ITS Young Researcher Award
Andreas Malikopoulos, the Terri Connor Kelly and John Kelly Career Development Associate Professor in the University of Delaware’s Department of Mechanical Engineering, has received the 2019 IEEE Intelligent Transportation Systems Young Researcher Award.
NBC featured the research conducted in the IDS lab
NBC featured the research conducted in the Information and Decision Science Laboratory.
Seminar at Carnegie Mellon University: A Decentralized Optimal Control Framework for Energy-Efficient Mobility Systems
Dr. Andreas Malikopoulos delivered a talk entitled "A Decentralized Optimal Control Framework for Energy-Efficient Mobility Systems" at the MechE Seminar Series in the Department of Mechanical Engineering at Carnegie Mellon University on March 29, 2019.
Ezra’s Round Table / Systems Seminar at Cornell: Andreas A. Malikopoulos (Delaware)
Professor Andreas Malikopoulos delivered a talk entitled “Decentralized Optimal Control for Energy-Efficient Mobility Systems” at Ezra’s Round Table Systems Seminar at Cornell University on Friday February 22nd.
UDSSC Featured in NBC 10
UDel Students Use 'Mini World' to Tackle Real World Problems... (Read...
PRECISE Seminar: A Decentralized Optimal Control Framework for Coordination of Connected and Automated Vehicles
Professor Andreas Malikopoulos delivered a talk entitled "A Decentralized Optimal Control Framework for Coordination of Connected and Automated Vehicles" at the University of Pennsylvania on October 5th, 2018
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...