PhD Candidate · Yıldız Technical University

Batuhan Hangün

Quantum Machine Learning Researcher

I am a PhD candidate in Computer Engineering at Yıldız Technical University, developing hybrid classical-quantum neural networks for renewable energy and smart grid applications. With industry experience in computer vision, C++ 3D scanning SDK development, and digital twin research across Turkey, Germany, and Canada, I bridge theory and practice, also teaching parallel computing and AI/ML at multiple universities. I hold a competitive NERSC allocation on the Perlmutter supercomputer at Lawrence Berkeley National Laboratory for large-scale quantum ML experiments, and serve as a peer reviewer for 16+ international journals including Information Fusion, Engineering Applications of AI, and IEEE RA-L.

Quantum Machine LearningMachine LearningHigh-Performance ComputingParallel ComputingComputer VisionImage Processing
197 citations 8 h-index 19 publications

About

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.

Beyond academia, I bring hands-on industry experience in computer vision systems, 3D scanning SDK development in C++, and digital twin research through international collaborations spanning Turkey, Germany, and Canada. I have also taught parallel computing and AI/ML courses across multiple universities.

My work has been recognised 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 Information Fusion, Engineering Applications of Artificial Intelligence, Energy, and IEEE Robotics and Automation Letters.

Experience

Researcher

Yıldız Technical University · Istanbul, Turkey

Current Hybrid 2021 — Present
  • Quantum Machine Learning research: hybrid classical–quantum models (ANN + QNN) for renewable energy and smart grid applications
  • 19 peer-reviewed papers (4 journal + 15 conference), 197 citations
  • Presented at 4 international IEEE conferences across 3 countries (USA, Greece, UK)
  • GPU-based parallel computing on DOE supercomputing resources — NERSC Perlmutter (Cray EX)

Software Engineer & Researcher

PIXSelect Teknoloji A.Ş. · Istanbul, Turkey

Hybrid 2023 — 2024
  • Developed web-based data annotation and training tool for industrial vision systems
  • Implemented computer vision, backend, and AWS modules using Python and Bash on Linux
  • Led codebase refactoring to reduce technical debt

Visiting Researcher

BTU Cottbus-Senftenberg · Cottbus, Germany

On-site 2023
  • Contributed to an industry-targeted digital twin project with international research partners

University Lecturer

Multiple Universities · Turkey

2022 — 2026
  • Ankara Bilim University
    Remote Sep 2025 — Jan 2026

    Taught: History of video games, genres, design tools, and practical applications with C++

  • İstanbul Aydın University
    On-site Jan 2025 — Jun 2025

    Taught: Digital image processing and practical applications with Python

  • Nişantaşı Univ. · Ankara Bilim Univ. · İstinye Univ.
    Hybrid 2022 — 2024

    Taught: Parallel computing (C, C++, MATLAB) and AI/ML fundamentals (Python)

  • Adopted project-based and presentation-based learning approach across all institutions

Software Engineer

Polyga Inc. · Vancouver, Canada

Remote 2021 — 2022
  • SDK development for 3D scanning devices using C++ (11, 14)
  • Camera calibration testing using C++ and MATLAB

Research & Teaching Assistant

Nişantaşı University · Istanbul, Turkey

On-site 2016 — 2021
  • Course support, conference organisation, and journal editorial activities

Publications

Selected from 19 peer-reviewed publications — 4 journal articles + 15 conference papers.

Journal 2026

QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification

B. Hangun, O. Altun, O. Eyecioglu

IEEE Access, vol. 14, pp. 32118–32133

DOI: 10.1109/ACCESS.2026.3668295
Conference 2025

A Hybrid Classical-Quantum Model for QSAR-Based Biodegradability Prediction

B. Hangun, O. Altun, O. Eyecioglu

2025 IEEE HPEC, Wakefield, MA, USA

DOI: 10.1109/HPEC67600.2025.11196555
Journal 2024

An OpenMP-based parallel implementation of image enhancement technique for dark images

Hangun, B., & Bayar, S.

Signal, Image and Video Processing

DOI: 10.1007/s11760-024-03058-8
Conference 2025

Comparative Analysis of QNN Architectures for Wind Power Prediction: Feature Maps and Ansatz Configurations

Hangun, B., Altun, O., & Eyecioglu, O.

2025 IEEE ISVLSI

DOI: 10.1109/ISVLSI65124.2025.11130210

Skills

Programming / Scripting Languages

PythonC++CMATLABBashPowerShell

ML / Data Science

Scikit-learnOpenCVPyTorchNumPyPandasMatplotlibAlbumentations

Other Tools

FlaskBoto3 (AWS)LaTeXSphinxSimulink

Peer Review Service

Invited as a recognised expert to review for 17 international journals and conferences.

Elsevier 12
  • Information Fusion
  • Engineering Applications of AI
  • Energy
  • Energy Strategy Reviews
  • Energy Reports
  • Journal of Energy Storage
  • Sustainable Cities and Society
  • Ocean Engineering
  • Heliyon
  • Next Energy
  • Next Research
  • Unconventional Resources
IEEE 1
  • Robotics and Automation Letters
Springer Nature 1
  • SN Computer Science
Conferences 3
  • IcSmartGrid
  • ICRERA
  • AQ-QCAS

Contact

Have a project, collaboration, or question in mind? Drop a message.