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.




Work Experience

Education

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

    My main research topics are machine learning, signal processing, probabilistic modeling, and computer vision. One research direction I am interested in is trustworthy machine learning via explainable AI and modeling/quantifying uncertainties. Some other keywords are Bayesian inference, probabilistic graphical models, subspace learning and sparse approximations, and image/video/audio processing. I am also interested in causal inference and Bayesian statistics (especially approximate inference, sampling, and likelihood-free inference) though I have a limited understanding in these.

    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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