John Kliem

Is a computer scientist at the Naval Research Laboratory in Washington, DC. His research is in multi-agent deep reinforcement learning and real time strategy game-playing AI. He has previously organized the virtual 2024 MCTF competition through AAMAS. He received his B.S. in Computer Science from George Mason University in 2022.

Contact: john.kliem3.civ@us.navy.mil

Prithviraj (Raj) Dasgupta

Is a research scientist at the Naval Research Laboratory in Washington, DC. His research interests are in the area of adversarial AI, reinforcement learning, game theory and multi-agent systems. Organizer of the 2024 MCTF competition at AAMAS and serves on the program committee of flagship AI and robotics conferences including AAMAS, AAAI, IJCAI, ICRA and IROS for over a decade. He is a senior member of IEEE. He received his Ph.D. in 2001 from the University of California, Santa Barbara.

Peter Crowley

Is a mechanical engineering PhD candidate in the Robotics Lab at Boston University. His research focuses on robot learning from demonstration and reinforcement learning for hierarchical, adversarial, and multiagent systems. Over the past two years, he has developed and maintained the Pyquaticus capture-the-flag gymnasium environment. He holds a BS in mechanical engineering from the University of Connecticut.

Matthew Cleaveland

Is a member of the technical staff at MIT Lincoln Laboratory in the Integrated Missile Defense Technology Group, which he joined in 2024. His work at the lab focuses on autonomous systems. He obtained a PhD in electrical and systems engineering from the University of Pennsylvania in 2024 and a BS in mathematics and electrical and computer engineering from Duke University in 2018.

Michael (Misha) Novitzky

Is an Assistant Professor at the United States Military Academy at West Point. He joined in October 2019 as part of the Robotics Research Center Dr. Novitzky established the Human-Robot Teaming Laboratory within the Robotics Research Center. Dr. Novitzky studied multi-robot teams at the Georgia Institute of Technology (Georgia Tech) where he earned his Ph.D. in 2015

Zachary Serlin

Is a technical staff research scientist at MIT Lincoln Laboratory. His research focuses on formal guarantees for artificial intelligence-based multi-agent autonomous systems. His work has also been a finalist at the 2022 R&D 100 awards. He holds a BS and MS in mechanical engineering from Tufts University and a Ph.D. in mechanical engineering from Boston University.

Michael Benjamin

Is a Principal Research Scientist at MIT in the Department of Mechanical Engineering. His research focus is on autonomy algorithms and software for unmanned marine vehicles. In 2005, he founded an open-source project named moos-ivp.org comprising dozens of marine autonomy applications.

Edward Potrill

Is an AI Scientist at the Defense Science & Technology Laboratory, UK with specialisms including autonomy, reinforcement learning and computer vision. Over the past three years, he has actively participated in the robotic Capture the-Flag competitions in simulation and physical, marine environments. Edward received his BS in Mathematics from the University of Sheffield, UK.

Jordan Beason

Is a research fellow at the Robotics Research Center, U.S. Military Academy, West Point, NY, USA, where he conducts applied research robot autonomy, edge processing, and environmental mapping with UxSs in undersea, coastal surface, ground, and aerial domains. He received his BS and MS in Ocean Engineering, specializing in marine robotics and computer vision.

David Hubczenko

Is a researcher at Defense Science & Technology Group, Australia. They hold a double degree with a B. Engg. in Electrical and Electronic Engg. (Honors) and a Bachelor of Mathematical and Computer Science from Adelaide University. Their current research interests are in opposed AI and multi-agent systems, and they have participated in Maritime Capture-the-Flag competitions since 2021