about
I am an Electrical and Computer Engineering PhD candidate at NYU Tandon, advised by Prof. Elza Erkip in the CommIT Research Group. Previously, I spent two summers at Apple and one summer at SHARP Labs of America as a research intern. I received my B.S. and M.S. in Electrical and Electronics Engineering from Bilkent University, Türkiye, with high honors.
research
My research sits at the intersection of machine learning and wireless communications, spanning multiple layers of the network stack. I am broadly interested in building learning-based systems that are communication-aware, and in bringing communications perspectives to machine learning problems.
Federated learning over wireless channels: How can distributed devices collaboratively train models over noisy wireless channels using over-the-air aggregation, even under data heterogeneity and energy constraints?J1C1C2
Network control with constrained deep RL: How can constrained reinforcement learning enable cost-efficient, latency-aware resource management and application delivery in communication networks?C3
Learning-based mobility prediction: How can machine learning reduce signaling and measurement overhead in mobile networks through accurate prediction of radio resource measurements?C5
Learning-based compress-and-forward: How can neural networks learn efficient compression and forwarding strategies in relay channels, bridging information-theoretic coding and deep learning?C4
Always happy to chat about research—reach me via email.
selected work
Over-the-Air Federated Edge Learning with Hierarchical Clustering
IEEE Transactions on Wireless Communications, 2024
Reference Signal Received Power Prediction for Measurement Gap Reduction
IEEE WCNC, 2026 — Work done during internship at Apple.
A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Asilomar Conference on Signals, Systems, and Computers, 2025
background
Education
Experience
news
- Nov 2025 Two papers accepted at Asilomar 2025! Constrained RL for latency-aware network control, and neural compress-and-forward for relay channels.
- Sep 2025 Paper on RSRP prediction for measurement gap reduction accepted at IEEE WCNC 2026! Work done during my second internship at Apple.
- May 2025 Started my second internship at Apple in Cupertino, CA! Working on AI/ML-based mobility prediction and 3GPP RAN2 contributions.
- May 2024 Started my internship at Apple in San Diego, CA! Building time-series forecasting pipelines for AI/ML-based mobility prediction.
- 2024 Journal paper on over-the-air federated edge learning with hierarchical clustering published in IEEE Transactions on Wireless Communications!
- May 2023 Started my internship at SHARP Labs of America in Vancouver, WA! Designing 3GPP-compliant AI/ML-based positioning algorithms.