PhD Candidate · Quantum ML · HPC & AI
Quantum Machine Learning Researcher
HPC & AI Engineer · PhD Candidate at Yıldız Technical University
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I am a researcher and engineer working at the intersection of quantum computing, machine learning, and high-performance computing. Currently pursuing my PhD in Computer Engineering at Yıldız Technical University, my research focuses on developing hybrid classical-quantum neural network architectures for renewable energy and smart grid applications.
My work has been recognized with a competitive NERSC Director's Discretionary Reserve allocation on the Perlmutter supercomputer at Lawrence Berkeley National Laboratory (U.S. Department of Energy), where I run quantum machine learning experiments at scale.
I serve as a peer reviewer for 16+ international journals and conferences, including high-impact publications such as Information Fusion (IF ~14), Engineering Applications of AI (IF ~8), Energy (IF ~9), and IEEE Robotics and Automation Letters.
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🇹🇷 Yıldız Technical University
🇹🇷 PIXSelect Teknoloji A.Ş.
🇩🇪 BTU Cottbus-Senftenberg
🇹🇷 Multiple Universities
Taught: History of video games, genres, design tools, and practical applications with C++
Taught: Digital image processing and practical applications with Python
Taught: Parallel computing (C, C++, MATLAB) and AI/ML fundamentals (Python)
🇨🇦 Polyga Inc.
🇹🇷 Nişantaşı University
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Selected from 19 peer-reviewed publications — 4 journal articles + 15 conference papers.
IEEE Access, vol. 14, pp. 32118–32133
DOI: 10.1109/ACCESS.2026.36682952025 IEEE HPEC, Wakefield, MA, USA
DOI: 10.1109/HPEC67600.2025.11196555Signal, Image and Video Processing
DOI: 10.1007/s11760-024-03058-82025 IEEE ISVLSI
DOI: 10.1109/ISVLSI65124.2025.1113021004 —
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Invited as a recognised expert to review for 16 international journals and conferences.
Consulting & Training
Turqubit provides specialised consulting, hands-on training, and research collaboration in high-performance computing, applied machine learning, and quantum algorithm development — from proof-of-concept to production.
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