CV

Education

Ph.D. Candidate in Machine Learning

Autonomous Learning Robots Lab, Karlsruhe Institute of Technology (KIT), 2020-2025 (expected)

My research interests include:

• Reinforcement Learning for diverse skill discovery
  • Mixture of Experts policies for acquiring diverse skills
  • Automatic curriculum learning of each individual expert to boost learning
  • Information-theoretic trust regions for black-box reinforcement learning
  • Applications to sophisticated robot learning tasks such as robot table tennis
• Fine-tuning of pre-trained behavior cloning policies using Reinforcement Learning
• Imitation Learning of diverse skills:
  • Capturing diverse human behaviors using Mixture of Experts policies
  • Automatic curriculum shaping on the human data set

M.Sc. in Electrical Engineering and Information Technology

Technische Universität Darmstadt, 2015-2018

• Thesis: Chance Constraints for Stochastic Optimal Control and Stochastic Optimization

B.Sc. in Electrical Engineering and Information Technology

Technische Universität Darmstadt, 2011-2015

• Thesis: Learning Fuzzy-Systems based on Voronoi Partitions

Work experience

Doctoral Researcher

Autonomous Learning Robots Lab, Karlsruhe Institute of Technology (KIT), 2020-present

• Student supervision (B.Sc. and M.Sc.) of more than 25 students
• Head Teaching Assistant for four semesters for the lecture “Machine Learning - Foundations and Algorithms”
• Head Teaching Assistant for four semesters for the lecture “Reinforcement Learning”

Research Scientist

FZI Research Center for Information Technology (FZI Forschungszentrum Informatik), 2023-2024

• Establishing a new research group lead by Prof. Gerhard Neumann
• Grant writing for European and German national research calls with academic and industrial partners
• Reinforcement Learning for structured controllers for industrial applications

Doctoral Researcher

BOSCH Industry-On-Campus at University of Tübingen (Prof. Neumann), 2019

• Development of a unified Interface for physics simulation and control of the Panda robot from Franka Emika

Working Student TWT GmBH Ingolstadt, 2016-2017

• Demonstrator for autnomous driving using UntrealEnging4 with Blueprints and C++
• Neural Networks as a recdommender system for automatic scene generation in the field of autnomous driving

Internship

TWT GmBH Ingolstadt, 2016

• Planning/Design for automatic scene generation in the field of autonomous driving
• SysML and Model-Based Systems Engineering techniques for a demonstrator used for customer acquisition

Student Teaching Assistant

Technische Universität Darmstadt, 2014

• Supervision of students for experimental research at the instutute of electrical engineering

Reviewing

Machine Learning

• Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Machine Learning (ICML)
• Conference on Robot Learning (CoRL)
• Journal of Machine LEarning Research (JMLR)
• Reinforcement Learning Conference (RLC)

Robotics

• IEEE Robotics and Automation Leatters (RA-L)
• Internation Conference on Intelligent Robots and Systems (IROS)
• Internation Conference on Robotics and Automation (ICRA)

Skills

• Languages: German (native), English (fluent), Turkish (fluent), French (basic)
• Programming: Python, Java, C++, MATLAB
• Frameworks and Libraries: Numpy, Pytorch, Scipy, Tensorflow, Hydra, Slurm, Scikit-Learn, Matplotlib
• Tools: LaTeX, Git, Linux, Microsoft Office
• Robotics: Franka Emika Panda

Student Supervision

If you are interested in what kind of projects I have supervised so far, feel free to reach out to me :).