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.