Anil Bayram Gogebakan

Research Assistant @Smilies Polito Research Group

Turin, IT

Advancing research in Spiking Neural Networks (SNNs) and neuromorphic computing with applications in hardware reliability, automated optimization, and event-based vision- Developed SpikingJET, a tool for assessing the fault tolerance of SNNs- Performed experiments on benchmark event-based datasets including DVSLip and DVSGesture using snnTorch, employing Optuna for hyperparameter tuning to improve performance- Investigated event-based vision approaches for dynamic perception, enhancing SNN architectures for greater efficiency and robustness- Currently pursuing MSc thesis on detecting objects with varying speeds in event-based automotive datasets (MVSEC, Prophesee) via NEST simulator, incorporating biologically realistic neuron and synapse models for more accurate real-world simulation.

Aydın Fen Lisesi

High School Diploma

Bilkent Üniversitesi

Bachelor's degree

Politecnico di Torino

Master's degree