I am Yiğit Demirağ, an EEE M.Sc. student at Nanotechnology Research Center (NANOTAM) at Bilkent University, working with Prof. Ekmel Özbay. Currently, I am a research intern at Memory Division of Samsung Electronics in Korea. Previously, I was at EPFL, Google and CERN. My focus is to build a perfect accelerator chip for Neural Networks. In my research, I design brain-inspired memory devices using Phase Change Materials (PCRAM) and study multilayer supervised learning on chip. In my spare time, I experiment with neural network architectures and read about in Deep Reinforcement Learning. I usually code in C/C++, Python and MATLAB. To learn more about me, you can read my tweets or drop me a line.

You can read my blog here.

Bilkent University: Master's Degree
Designing comprehensive PCRAM simulation.
Advisor: Prof. Ekmel Özbay.
Summer 2017
École Polytechnique Fédérale de Lausanne (EPFL)
Multilayer Supervised Learning
in Neuromorphic hardware.
Advisor: Prof. Yusuf Leblebici.
Summer 2015
Google Summer of Code
Worked on ARM Neon extension of Agner FOG's VCL.
Summer 2014
Vectorization of Counter Based
Random Number Generators.
Middle East Technical University
Hardware design of particle (Muon) detector.
Advisor: Prof. Bilge Demirköz.
Summer 2011
Bilkent University Computational Electromagnetics Research Center
Acceleration of world record holder
MLFMA algorithm by threading.
Bilkent University: Bachelor's Degree
Major in Electrical and Electronics Engineering.