I worked in industry for 10 years, as well as in universities and non-university research institutes, totaling more than 15 years of experience in AI, machine learning, computer vision, information retrieval, and signal processing.




My main research topics are machine learning, signal processing, probabilistic modeling, and computer vision. Currently focused on trustworthy machine learning, explainable AI, uncertainty calibration, robustness and efficiency in learning, as well as LLM and RAG pipelines. Some other keywords are subspace learning, sparse approximations, signal decomposition, and image/video/audio processing. I am also interested in Bayesian statistics and causal inference though I have a limited understanding in these.

Work Experience

Education

  • PhD in Electrical-Electronics Engineering from Istanbul University-Cerrahpasa (which was formerly part of Istanbul University).

    During my PhD I worked on probabilistic models for spectral-spatial classification of hyperspectral images under the supervision of Prof. Dr. Aydın Akan and Prof. Dr. Koray Kayabol. In this problem, a land cover segmentation map is obtained by pixel-wise classification. I developed several generative and discriminative classification models with non-stationary mixture models, random fields, deep learning, subspace learning, and optimization algorithms for machine learning.

  • MSc in Biomedical Engineering from Istanbul Technical University under the supervision of Prof. Dr. Bilge Günsel. My thesis was about tissue density classification in mammographic images using local features.

  • Bachelor’s in Electrical-Electronics Engineering from Istanbul University with an emphasis on telecommunications and signal processing. Graduation project was real-time music and audio effects on DSP.

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