I am a Postdoctoral Researcher working at Paderborn University and the Technical University of Munich (TUM). My research focuses on Reinforcement Learning, Diffusion Models for curriculum generation, Sample-Efficient Robotic Manipulation, and Safe Generative AI & Control Barrier Functions for autonomous systems.
I received my Ph.D. in Computer Science from the Technical University of Munich (TUM) in the Chair of Robotics, AI and Real-time Systems under the supervision of Prof. Dr. Alois Knoll in collaboration with the Human Brain Project.
Prior to TUM, I earned my M.Sc. degree in Electrical Engineering and Information Technology from RWTH Aachen University (Grade: 1.0). I completed dual Bachelor's degrees in Mechatronics Engineering from Kocaeli University, where I graduated as Valedictorian (ranked 1st across the entire Faculty of Engineering), and Bochum University of Applied Sciences.
Ph.D. in Computer Science, 2020–2025
Technical University of Munich (TUM), Germany
Thesis: Optimization control & sample efficiency in RL for robotic tasks
M.Sc. in Electrical & Computer Engineering, 2018–2020
RWTH Aachen University, Germany
GPA: 1.5 / 1.00 (Thesis Grade: 1.0)
B.Sc. in Mechatronics Engineering, 2010–2015
Kocaeli University, Türkiye
GPA: 3.82 / 4.00 · Valedictorian (Ranked 1st in Engineering)
B.Sc. in Mechatronics Engineering, 2013–2014
Bochum University of Applied Sciences, Germany
GPA: 1.36 / 1.00
Selected peer-reviewed papers, journals, and project sites.
Open-source research systems & frameworks.
PyTorch framework utilizing conditional diffusion models to synthesize adaptive curricula for sparse-reward manipulation.
View CodeHierarchical optimization and coordinated motion planning framework for redundant high-DOF mobile manipulators.
View CodeTactile and contact-energy prioritized replay buffer baselines on Fetch and Franka Emika Panda benchmarks.
View CodeAcademic appointments & research positions.
Conference organization, workshops, and student mentorship.
"Generative Foundation Models for Robotics: From Language and Vision to Embodied Action" at IEEE World Congress on Computational Intelligence.
Visit Workshop Website →
"Foundational Models Meet Robotics: From Language and Vision to Action" IEEE CIS Summer School at Paderborn University.
Visit Summer School Website →
M.Sc. Students Supervised: Md Siyam Sajeeb Khan, Xiyuan Wang, Efe Kaya, Faruk Oruc, İlker Ayçiçek, Alexander Höhn, Ramandika Pranamulia.
Undergraduate Students: Vladislav Vintaykin, Khalil Chikhaoui, Emre Öztas, Mohamed Bouhali, John F. Stewardson.
Get in touch for collaborations or research inquiries.
Universität Paderborn
Warburger Str. 100, 33098 Paderborn, Germany