Önder Eyecioğlu

I am an Associate Professor in the Department of Computer Engineering at Bolu Abant İzzet Baysal University, where my work sits at the meeting point of machine learning, quantum computing, and energy systems.

My research asks a fairly concrete question: where does quantum computing actually help? Much of the field is still promissory, so my group builds hybrid classical–quantum models for problems that have a real cost function forecasting smart-grid stability, identifying loads on a distribution network, predicting wind and solar output, and measuring them honestly against strong classical baselines. Some of the time the quantum model wins on data efficiency; when it does not, that is a result too.

Before computer engineering I spent a decade as a computational physicist. My doctorate used order-N tight-binding molecular dynamics to simulate how carbon nanotubes deform and how their electronic band gaps shift under strain , work that meant writing and parallelising the simulation codes themselves. That background still shapes how I approach engineering problems: start from the physics, then decide what the model is allowed to assume.

I have also written scientific software used by other groups — ZXCOM and BXCOM, for computing effective atomic numbers and radiation buildup factors — and I hold three patents in assistive and safety technology.