Kadirhan Kana received his M.Sc. degree in Electronics Engineering from Sabancı University. During his graduate studies, his focus was the energy-efficient implementation of recurrent neural networks on FPGA platforms for time-series classification, involving fixed-point arithmetic, quantization-aware training, hardware–software verification, and real-time data processing. His research interests include FPGA-based hardware acceleration, digital system design, embedded systems, machine learning, and neural network quantization.