👨‍💻 I am a lead (staff) research scientist & tech lead at Bosch Center for AI working on computer vision and embodied AI applications. In this role, I lead a team of research scientists on the design and development of foundation and GenAI models. Toward this goal, I use techniques from multimodal LLMs, diffusion models, 3D perception & captioning, self-supervised learning, and end-to-end autonomy.

🎓 I have received my Ph.D. from the department of Electrical and Computer Engineering at the University of Minnesota, under the supervision of Prof. Mehmet Akçakaya, and the B.Sc. in Electronics and Communication Engineering from Istanbul Technical University. My PhD dissertation has been awarded with 2023 Best Dissertation Award by IEEE Signal Processing Society.

Recent updates

01/2025 - 1 Paper accepted at ICLR 2025

01/2025 - Organizing CVPR 2025 Workshop on Distillation of Foundation Models (WDFM)

10/2024 - Co-organizing WACV 2025 Workshop on Large Language & Vision Models (LLVM)

08/2024 - 1 paper accepted at WACV 2024.

06/2024 - 1 paper accepted at ECCV 2024.

03/2024 - 2 papers accepted at CVPR 2024.

12/2023 - 2023 IEEE Signal Processing Society (SPS) Best Dissertation Award.

05/2023 - 2023 Best Dissertation Award, University of Minnesota.

01/2022 - Paper ”Zero-Shot Self-Supervised Learning for MRI Reconstruction,” was accepted at International Conference on Learning Representations (ICLR) [paper][code].

09/2021 - Machine learning research Intern at Siemens Healthineers

06/2021 - Computational imaging research Intern at Microsoft Research

05/2020 - Journal “Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference Data,” was accepted at Magnetic Resonance in Medicine (MRM) [paper][code].

04/2020 - Best paper award at 17th IEEE International Symposium on Biomedical Imaging (ISBI) .

02/2020 - Received Interdisciplinary Doctoral Fellowship, UMN.

02/2020 - Received IEM Walter Barnes Lang Fellowship, UMN.