Alexander Windmann, M.Sc., Senior Scientist, Head of the Machine Learning Research Group, and PhD Candidate

I studied Mathematics at RWTH Aachen University, where I completed both my Bachelor’s and Master’s degrees. In addition to my academic training, I gained practical experience at the interface of data-driven analysis and risk assessment.

My research focuses on the safety and robustness of artificial intelligence in technical systems. In particular, I work on the evaluation and improvement of robust machine learning methods under realistic disturbances, as well as on transferring these findings into practical guidelines and standards.

www.hsu-hh.de/imb | alexander.windmann(at)hsu.hamburg | Raum H1 1321

www.hsu-hh.de/imb/ | alexander.windmann(at)hsu.hamburg | Raum 1321 | (040) 6541 3339

Bernd Zimmering, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | bernd.zimmering(at)hsu.hamburg | Raum 1211 | (040) 6541 2838

Daniel Vranješ, M.Sc., Research Associate and PhD Candidate

M.Sc. in Production Technology and Management, B.Sc. in Mechatronics (HAW Hamburg). Research focuses on modular architectures for anomaly detection in multivariate time series of technical systems, incorporating prior knowledge.

www.hsu-hh.de/imb/ | daniel.vranjes(at)hsu.hamburg | Raum 1207 | (040) 6541 2440

Jonas Ehrhardt, MSc, Research Associate and PhD Student

MSc in Information Studies – Data Science (UvA) and MSc Business Administration and Engineering. My research focusses on planning problems that are too large and too messy to be tackled by pure symbolic planning algorithms. I am especially interested in the integration of symbolic methods into learning approaches, e.g., integrating formal reasoning into Reinforcement Learning, or vice versa the integration of learning approaches into symbolic methods. Additionally, I am interested in regularization techniques for training or finetuning Large Language Models and their application in the above-mentioned research area.

www.hsu-hh.de/imb/ | jonas.ehrhardt(at)hsu.hamburg | Raum H2 2816 | (040) 6541 3291

Dipl. Phys. Christian Wittke, Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | christian.wittke(at)hsu.hamburg | Raum H2 2816 | (040) 6541 3813

Dario Ramming, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | dario.ramming(at)hsu.hamburg | Raum H2 2812

Cecília Coelho, PhD, Research Group Leader Material Science and Spatial Models

PhD in Mathematics, Master’s in Mathematics and Computation, and Bachelor’s in Physics. Her current research focuses on enhancing real-world systems modelling (science and engineering) through the intersection of differential equations and neural networks, emphasising fractional calculus and prior knowledge integration via constrained optimisation.

Her research topics are: Scientific-Machine Learning; Numerical Analysis; Constrained Optimisation; Mathematical Modelling; Fractional Calculus; Differential Equations; Surrogate Modelling.

www.hsu-hh.de/imb/ | cecilia.coelho(at)hsu.hamburg | Raum 1211 | (040) 6541 2440

Artur Liebert, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | artur.liebert(at)hsu.hamburg | Raum H2 2816 | (040) 6541 3527

Sebastian Eilermann, M.Eng., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | sebastian.eilermann(at)hsu.hamburg | Raum 1206 | (040) 6541 3349

Daniel Boschmann, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | daniel.boschmann(at)hsu.hamburg | Raum 1321 | (040) 6541 2395

Tim Rensmeyer, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | tim.rensmeyer(at)hsu.hamburg | Raum H2 2815 | (040) 6541 XXXX

Dr. Alexander Diedrich, Research Group Lead Symbolic Artificial Intelligence

I am the senior scientist for symbolic artificial intelligence within the chair of computer science in mechanical engineering. After an apprenticeship as a computer engineer, I obtained a Bachelor’s degree in computer engineering and a Master’s degree in information technology from Ostwestfalen-Lippe University of Applied Sciences (TH OWL). I completed my PhD in 2023 where he investigated learning of logical expressions from data and how to perform automated fault diagnosis of cyber-physical systems. My current research interests include learning logical models from data, validation of knowledge bases, and fault diagnosis with logical and structural methods.

www.hsu-hh.de/imb/ | alexander.diedrich(at)hsu.hamburg | Raum 1206

Niklas Widulle, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | niklas.widulle(at)hsu.hamburg | Raum H2 2816 | (040) 6541 XXXX

Nemanja Hranisavljevic, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | nemanja.hranisavljevic(at)hsu.hamburg

Robin Kurth, M.Sc., Research Associate and PhD Candidate

I studied Agricultural Sciences (B.Sc.) and Crop Sciences (M.Sc.) at the University of Bonn and specialized in data-driven modeling, simulation, and machine learning.

My research interests focus on simulation-based modeling of ecological processes in agricultural landscapes. In particular, I work on spatio-temporal dynamics, the generation of synthetic data, and the application of machine learning methods for analyzing and forecasting biodiversity-related developments in agricultural systems.

www.hsu-hh.de/imb/ | robin.kurth(at)hsu.hamburg | Raum H2 2815

Phillip Overlöper, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | phillip.overloeper(at)hsu.hamburg | Raum H2 2809 | (040) 6541 2716

Mark Tappe, M.Sc., Research Associate and PhD Candidate

I studied Mechatronics (B.Sc.) at the Technical University of Hamburg and then went on to study Automation Technology (M.Sc.) at RWTH Aachen University. During my studies, I focused specifically on the field of control engineering.

My research interests lie in the supervision of AI agents, with a particular focus on supervised reinforcement learning and supervision in the context of monitoring. One particular field of application is the use of these supervision approaches for UAS such as multicopters, which I then examine for motor faults and reconfigure for safe flight.

www.hsu-hh.de/imb/ | mark.tappe(at)hsu.hamburg | Raum H2 2815 | (040) 6541 3417

Philipp Rosenthal, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | philipp.rosenthal(at)hsu.hamburg | Raum 1207 | (040) 6541 2972

Lukas Moddemann, M.Sc., Research Associate and PhD Student

M.Sc. in Mechatronics from FH Aachen and B.Eng. in Engineering Sciences with a specialization in Mechanical Design from TH Köln, completed within a dual study program including a qualification as an Industrial Mechanic.
My research interests focus on machine learning, particularly on bridging symbolic and subsymbolic approaches. I am interested in neuro-symbolic methods for learning structured models of technical systems from data. Such models can support reasoning about observed system symptoms and enable data-driven fault diagnosis in complex engineered systems.

www.hsu-hh.de/imb/ | lukas.moddemann(at)hsu.hamburg | Raum 1206 | (040) 6541 3497

Felix Janzen, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | felix.janzen(at)hsu.hamburg | Raum H2 2809 | (040) 6541 XXXX

Niklas Fin Kompe, M.Sc., Research Associate and PhD Candidate

I studied Robotics and Autonomous Systems at the University of Lübeck and specialized in machine learning during my master’s program.

My research interests focus on data-driven system identification and anomaly detection for dynamic technical systems in closed-loop operation. To this end, I develop modular, physics-informed machine learning models. A particular focus is on integrating domain knowledge that is automatically extracted from technical documentation using large language models.

www.hsu-hh.de/imb/ | niklas.kompe(at)hsu.hamburg | Raum H2 2815 | (040) 6541 XXXX

René Heesch, M.Eng., Senior Scientist, Head of the Bundeswehr Working Group, and PhD Candidate

After completing my degree in Industrial Engineering and Management (M.Eng.), I initially worked as a project engineer in a medium-sized company. Today, I lead the chair’s working group dedicated to research for and with the Bundeswehr.

My research focuses on the application of artificial intelligence in technical systems. In particular, I work on methods for integrating symbolic and subsymbolic AI approaches, for example in the context of planning algorithms, in order to overcome the respective limitations of these approaches.

www.hsu-hh.de/imb/ | rene.heesch(at)hsu.hamburg | Raum H2 2826 | (040) 6541 2875

Björn Ludwig, M.Sc., Research Associate and Doctoral Candidate

I studied Engineering Mathematics in a joint degree program offered by the University of Hamburg (UHH) and the Hamburg University of Technology (TUHH) (B.Sc., M.Sc.).

After completing my studies, I worked for three years as a mathematician in a medium-sized company, where I focused on physical simulation and mathematical optimization.

My research focuses on modular machine learning models, with a particular emphasis on imputation models for CPS that incorporate prior knowledge.

www.hsu-hh.de/imb/ | bjoern.ludwig(at)hsu.hamburg | Raum H2 2826 | (040) 6541 3687

Josef Rottmann, M.Sc., Research Associate and PhD Candidate

M.Sc. in Data Science (Chemnitz University of Technology), B.Sc. in Economics / Mathematics (University of Osnabrück). Research focuses on trajectory prediction using generative models and the integration of uncertainty estimation methods.

www.hsu-hh.de/imb/ | josef.rottmann(at)hsu.hamburg | Raum H2 2826 | (040) 6541 2033

Johannes Roland Schmidt, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | johannes.schmidt(at)hsu.hamburg | Raum H2 2826 | (040) 6541 XXXX

Hptm Joshua Schraven, M.Sc., Research Associate and PhD Student

I studied Engineering Science – Defense Systems at Helmut Schmidt University / University of the Bundeswehr Hamburg and specialized in high-performance computing during my Master’s program.

My research interests focus on machine learning methods for cybersecurity, in particular network intrusion detection in ICS/OT/IIoT networks. A key emphasis is on robustness against long-term drift as well as the transferability of models across different domains and datasets.

www.hsu-hh.de/imb/ | joshua.schraven(at)hsu.hamburg | Raum H2 2826 | (040) 6541 XXXX

Kim Paulke, M.Sc., Research Associate and Doctoral Student

www.hsu-hh.de/imb/ | kim.paulke(at)hsu.hamburg | Raum H2 2826 | (040) 6541 3725

Samim Multaheb, M.Sc., External Doctoral Student

www.hsu-hh.de/imb/ | samim.multaheb(at)hsu.hamburg

Lukas Augustin, M.Sc., External Doctoral Student

www.hsu-hh.de/imb/ | lukas.augustin(at)hsu.hamburg

Dipl.–Ing. (FH) Rabea Habedank, Technical Staff

www.hsu-hh.de/imb/ | rabea.habedank(at)hsu.hamburg | Raum H2 2812 | (040) 6541 2394

Markus Heinisch, Technical Staff

www.hsu-hh.de/imb/ | markus.heinisch(at)hsu.hamburg | Raum H2 2824 | (040) 6541 2501