About Me
Hi! I am a PhD student at the Max Planck Institute for Informatics as part of the CS@Max Planck Doctoral Program. I completed my B.Sc. in Mathematics, with a Minor in Statistics, at Middle East Technical University (METU), where I graduated with High Honors.
My research lies at the intersection of robot learning, computer vision, and representation learning. I am broadly interested in scalable learning for robotic intelligence: how to build models that can perceive, represent, and generate actions effectively in embodied settings.
My current work focuses on learning action representations from video or demonstrations and studying how they can support robot manipulation. More broadly, I am interested in learning-based methods for embodied intelligence, especially approaches that connect visual understanding, representation learning, and action generation.
Research Interests
- Robot learning
- Computer vision
- Representation learning
- Visuomotor learning
- Action generation
- Embodied intelligence
I have previously worked on academic research projects in machine learning and computer vision under the guidance of:
- Prof. Seyda Ertekin at METU, on large language model-based hyperparameter optimization
- Prof. Ioannis Kakadiaris at the University of Houston, on computer vision and representation learning
Before starting my PhD, I also worked in industry on applied machine learning problems spanning optimization, NLP, computer vision, and decision-support systems. These experiences continue to shape how I think about building learning systems that are both practically useful and scientifically grounded.
Feel free to explore my Education, Research Experience, Professional Experience, Publications, and CV.