I am Yiğit Demirağ, a PhD student at Institute of Neuroinformatics (INI) of ETH Zurich and University of Zurich, working with Prof. Giacomo Indiveri. I received my MSc from Nanotechnology Research Center (NANOTAM) of Bilkent University, where I worked with Prof. Ekmel Özbay on phase change material based non-volatile memory devices. Previously, I was at Samsung Electronics, EPFL, Google and CERN.

My research focus is to accelerate our path to AGI, by building the perfect accelerator chip for large neural networks. I design nanoscale memory-devices using phase-change materials to mimick the synapses of the biological brain, and study multilayer un/supervised learning on neuromorphic chips. On a side for fun, I experiment with Deep Reinforcement Learning. I usually code in Python, C/C++ and MATLAB. To learn more about me, you can read my tweets or drop me a line.

You can read my blog here.






2019-now
Institute of Neuroinformatics (INI): PhD Candidate
Learning on memristor-based neuromorphic devices.
Advisor: Prof. Giacomo Indiveri.
2015-2018
Bilkent University: Master's Degree
Designing comprehensive PCRAM simulation.
Advisor: Prof. Ekmel Özbay.
Sep 2017-Apr 2018
Samsung Electronics
Advanced Technology Development
Worked on the drift problem of phase change materials.
Summer 2017
École Polytechnique Fédérale de Lausanne (EPFL)
Multilayer Supervised Learning in
neuromorphic chips.
Advisor: Prof. Yusuf Leblebici.
Summer 2015
Google Summer of Code
Worked on ARM Neon extension of Agner FOG's VCL.
Summer 2014
CERN
Vectorization of Counter Based
Random Number Generators.
2013-2015
Middle East Technical University
Hardware design of particle (Muon) detector.
Advisor: Prof. Bilge Demirköz.
2011-2015
Bilkent University: Bachelor's Degree
Major in Electrical and Electronics Engineering.