Do Robots Really Need Anthropomorphic Hands? (2025, Submitted to Autonomous Robots Springer Journal)
ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception (2025, IEEE International Conference on Robotics and Automation)
Transferring Tactile Data Across Sensors (2024, ICRA@40, Rotterdam, The Netherlands)
Optimizing BioTac Simulation for Realistic Tactile Perception (2024, International Joint Conference on Neural Networks, Yokohama, Japan)
A Review of the Role of Causality in Developing Trustworthy AI Systems (2023, arXiv:2302.06975)
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent (2022, LOD 2022, Lecture Notes in Computer Science)
Transfer Learning with Jukebox for Music Source Separation (2022, IFIP Advances in Information and Communication Technology)
Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets (2022, Neural Computing and Applications)
Research Experience
Conducting doctoral research at the L3S Research Center, focusing on the fields of artificial intelligence and intelligent systems.
Education
Master's degree in Intelligent Systems from Bielefeld University (graduated in 2022); currently pursuing a PhD at the L3S Research Center.
Background
Research interests include artificial intelligence, tactile sensing for robots, machine learning, reinforcement learning, robotics, and computer vision. As a scientific researcher, he enjoys using his skills to contribute to the exciting technological advances happening every day in the field of artificial intelligence.
Miscellany
Feel free to contact him to discuss related topics via email, Twitter, LinkedIn, GitHub, Google Scholar, and ORCID.