Universität der Bundeswehr München

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The University of the Bundeswehr Munich is a campus university located in the Munich area. Students and employees of the university have easy access to the rich culture, history and diversity offered by the city of Munich, as well as to the beauty of nature the Bavarian Alps have to offer. Besides a high faculty-student ratio that ensures the high quality of teaching and scientific/technical supervision, the university also has extremely modern research infrastructure for research and technology demonstration.

B-prepared will benefit first and foremost from the expertise and research infrastructure of the “AI-Lab” from the research team “Applied Artificial Intelligence in Dynamic Systems” on developing mission autonomy of the non-player characters. The Applied Artificial Intelligence in Dynamic Systems team focuses mainly on algorithms and AI-techniques for automated decision-making processes/support and dynamic human-AI interactions. Besides generic indoor simulators at the AI-Lab as test platforms to investigate and benchmark algorithms, the team also has access to more immersive test instructure and expertise in human-in-the-loop experimental research from theHuMiCS-Lab, a sister lab of the Institute for Flight Systems.

Furthermore, the AI-Lab has access to the massive on-campus test area,
on which demonstrations or tests can take place.

Assistant Professor Dr.-Ing. Jane Jean Kiam

Hello, I’m Jean. I lead the AI-Lab of the Institute of Flight Systems at the University of the Bundeswehr Munich. For almost 10 years, I have been working on integrating AI techniques into dynamic systems to increase mission autonomy. In B-prepared, my team and I will strive to build in more intelligent autonomy into the NPCs of the serious games, making the experience for players to be more interactive, immersive and mind-blowing than ever.

Besides cutting edge research, I am also passionate about teaching. With other partners of B-prepared, we will be taking lessons learnt from the project, incorporate them into lectures and lab sessions for students, so that knowledge and techniques can be passed on, thereby enhancing the next-generation’s preparedness in the face of disaster.

Prakash Jamakatel

Jamakatel did his Bachelor of Electrical Engineering in Berlin School of Economics and Law and his Masters in Applied Research in Technical University of Applied Sciences Augsburg. He conducted research on methods for Non-Destructive Testing in cooperation with Fraunhofer IGCV during his Masters. Since May 2022, he is a Research Associate at the Institute of Flight Systems. His research interest includes Applied AI (data-driven AI, symbolic AI and their combination) and Human-AI Interaction. His current research focus entails application of AI techniques ranging from AI-planning, Natural Language Processing, Machine Learning for classification of utterances, to probabilistic state estimation in design of contextual assistance system. At ICAPS 2023, he won the Best System Demonstration Award, demonstrating FRICO, a cockpit assistance system he developed using AI-Planning methods.”

Björn Döschl

Björn Döschl completed his Bachelor’s degree in Computer Science in Engineering (B.Sc.) in 2020 at the University of Augsburg. Thereafter, he joined the Master’s program in Robotics, Cognition, Intelligence (M.Sc.) from the Technical University of Munich. Following a period abroad in Japan with a focus on cyber security, he successfully concluded his master’s thesis in collaboration with MBDA Deutschland GmbH in November 2023, in the field of situation awareness in multi-agent systems.

Since December 2023, Björn Döschl is a research associate at the Institute of Flight Systems at the University of the Bundeswehr Munich, focusing his research on applying intelligence on unmanned assets, while creating a simulated and real-world testing environment. His interests lie in implementing autonomous swarm agents with centralized and decentralized intelligence.

Sean Klein

Sean Klein did his Bachelor in Biology at the University of Würzburg. He Wrote his Bachelor’s thesis at the Helmholtz Institute for RNA-based Infection Research. In his Masters, Sean studied Bioinformatics at the University of Tübingen and spent one year abroad at the Sapienza University of Rome. After short stays at the Universities of Bucharest, Stockholm and the Autonomous University of Madrid, he wrote his Master’s Thesis back in Germany. In collaboration with the Hannover Medical School and the Peter L. Reichertz Institute for Medical Informatics of the Technical University Braunschweig, he worked on deep learning, explainable AI and Computer vision to detect novel biomarkers in tissue images of kidney cancer patients. Since June 2024, Sean has been a research associate and a PhD student at the University of the Bundeswehr Munich. There, he works on improving the Artificial Intelligence of Non-Player Characters (NPCs), employing machine learning to create more believable NPCs in Serious Games that provide simulated training environments for complex missions. His research interests include imitation learning and reinforcement learning, but also other methods that fit the theme of “Learning from Human Behaviour”. Results of his research works will be integrated into B-prepared.