I am currently a PhD candidate, working with Prof. Upamanyu Madhow in the Electrical and Computer Engineering department at UCSB. My research interests include machine learning, signal processing, and wireless communication.

Through my research experience, I have developed interests in Deep Learning and its applications. I have worked so far on various areas spanning from Deep Learning in Natural language processing and Computer Vision to Deep Q learning for game playing agents. And Currently I devoted myself to further understand the nature of neural nets and improve the adversarial robustness of neural nets.


  • Deep Learning
  • Adversarial Machine Learning
  • Statistical Signal Processing
  • Wireless Communication


  • PhD in Electrical Engineering, 2022 (Expected)

    University of California, Santa Barbara

  • M.S in Electrical Engineering, 2019

    University of California, Santa Barbara

  • BSc in Electrical Engineering, 2017

    Bogazici University, Turkey

  • BSc in Physics, 2017

    Bogazici University, Turkey



Deep Illusion (Adversarial ML toolbox)

Created and published an adversarial ML toolbox ‘deepillusion’

Sparsifying Front Ends

Combating adversarial perturbations by exploiting sparsity of natural data.

Reinforcement Learning For The Game Called “Batak”

Teaching a network to play Turkish card game “Batak” by using Reinforcement Learning methods. Asynchronous Advantage Actor Critic (A3C) …

Radio Frequency Machine Learning (RFML)

Extracting circuit-level fingerprints to distinguish between wireless devices sending exactly same message



Adversarial Machine Learning

Despite DNNs imperessive performance in wide variety of fields, they are easy to fool with carefully designed small perturbations to …