Dr Deniz Ekin CANBAY

Employment experience:  

2025 – Now: Research Fellow (UNSW)

2020 – 2025: Casual Academic (The University of Queensland, Australia)

2019: Summer Researcher (University of Naples Federico II,  Italy)

2017 – 2020: Research and Teaching Assistant (Istanbul Technical University, Turkiye)

2016 – 2017: Research and Teaching Assistant (Koç University, Turkiye)

2014 – 2016: Research and Development Engineer (Simco-Tech Engineering, Turkiye)

Education:  

2020 – 2025: Doctor of Philosophy in Artificial Intelligence (The University of Queensland, Australia)

2017 – 2020: Master of Science in Mechatronics Engineering (Istanbul Technical University, Turkiye)

2012 – 2015: Bachelor of Science in Electronics and Communication Engineering (Istanbul Technical University, Turkiye)

2010 – 2014: Bachelor of Science in Mechanical Engineering (Istanbul Technical University, Turkiye)

Research interests:  

Physics-informed machine learning; graph neural networks; scientific ML for dynamical systems; neural ODE/PDE and operator learning; forecasting and anomaly detection for utility-scale PV systems; reinforcement learning; robotics and control.  

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Why is your research important?  

Reliable and efficient utility-scale PV needs models that are both data-driven and physics-consistent. My work builds such models to improve forecasting, fault detection and performance analysis, reducing operational risk and increasing energy yield at scale.

What do you like about research? 

I like turning first-principles understanding into deployable algorithms. Research lets me formalise intuition, test it rigorously, and deliver methods that make real systems work better.

What do you like to do when you are not saving the world?  

I enjoy sailing, camping, riding forest trails, and wrestling with NVIDIA drivers on randomly chosen Linux distros.