Welcome

I am a PhD candidate in Computer Engineering at Northeastern University under the advisory of Prof. Stratis Ioannidis. I have obtained my MS degree in Electrical and Computer Engineering from Northeastern University and BS degree in Electrical and Electronics Engineering from Bilkent University.

My research sits at the intersection of machine learning and wireless edge computing, focusing on communication-aware methods for pruning, mapping, and compressing deep neural networks to match hardware topologies, enabling energy-efficient, low-latency distributed inference; and on optimal data selection via Markovian experimental design, keeping models accurate when re-trained under concept drift.

I have a background in developing machine-learning systems across a range of sensing modalities, including Transformer-based wireless radar classification, GPU-accelerated portable RF signal sensing, few-shot sEMG fatigue analysis, and multivariate time-series imputation and forecasting.