[Jun 2022] Our paper titled "Towards robust, interpretable neural networks via Hebbian/anti-Hebbian learning: A software framework for training with feature-based costs" is accepted to the Elsevier Software Impacts.
[Jun 2022] Our paper titled "Early Layers Are More Important For Adversarial Robustness" is accepted as a workshop paper for the Thirty-ninth International Conference on Machine Learning (ICML), New Frontiers in Adversarial Machine Learning.
[Jun 2022] Our paper titled "Layerwise Hebbian/anti-Hebbian (HaH) Learning In Deep Networks: A Neuro-inspired Approach To Robustness" is accepted as a workshop paper for the Thirty-ninth International Conference on Machine Learning (ICML), New Frontiers in Adversarial Machine Learning.
[Jan 2022] Our paper titled "Self-supervised Speaker Recognition Training Using Human-Machine Dialogues" is accepted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
[Nov 2021] We've presented our "Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors" paper at Asilomar, 2021, Asilomar. We are thankful to the community for their valuable comments and suggestions.
[Dec 2020] I've recently talked to a Turkish Podcast about machine learning and artificial intelligence.
How do machines learn? What does the human brain have to do with artificial intelligence? If you are curious about these questions and more information, this episode is for you!
[Dec 2019] We've presented our paper titled "Robust Wireless Fingerprinting via Complex-Valued Neural Networks" at Globecom, 2019, Hawaii. We are thankful to the community for their valuable comments and suggestions.
[May 2018] I've been awarded the Outstanding Electrical and Computer Engineering Teaching Assistant (TA) award. I feel very fortunate to be a TA of smart and talented UCSB students.
Here is my life in general: I really like walking in my free time, and like exploring the places around me. Generally, I like being socially active, getting to meet new people.