Mustafa Ozkoc
I am a Staff Research Engineer at Samsung Research America and a Ph.D. graduate of New York University, specializing in 5G NR and 6G wireless systems. Over the past three years I have developed and deployed advanced PHY-layer algorithms — spanning MIMO, beamforming, beam management, and AI-RAN — that have shipped in commercial 5G NR products and 6G prototypes, delivering up to 27% UL and 15% DL throughput improvements.
My research sits at the intersection of signal processing, machine learning, and next-generation wireless design, with a particular focus on MIMO, beam design, and intelligent beam management across FR1/FR2/FR3 bands. This work has resulted in 11 granted and pending patents and 4 peer-reviewed journal publications in IEEE JSAC, IEEE TVT, and IEEE OJCOMS.
I completed my Ph.D. at NYU Wireless under Prof. Shivendra Panwar, where my thesis on low-latency mobility management in directional wireless networks was recognized with the Dante Youla Award for Graduate Research Excellence in Electrical Engineering. During my doctoral studies I also served as a teaching assistant for courses in machine learning and internet architecture at NYU.
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Research Interests
- 5G NR and 6G Wireless Systems (FR1/FR2/FR3)
- MIMO, Beam Design, and Beam Management
- Machine Learning and AI-RAN for Wireless Systems
- Signal Processing and PHY-Layer Algorithm Design
Experience
- (2026–Present) Staff Research Engineer, Samsung Research America
- (2023–2026) Senior Research Engineer, Samsung Research America
- Developed beambook and beam management algorithms delivering 15% DL / 27% UL throughput gains across FR2 portfolio
- Designed first AI-based beambook algorithm for FR2 base stations, automating manual beam design workflow
- Delivered FWA-specific FR2 beam management improvements achieving ~10% throughput gain
- Designed multi-SSB scheme for FR3 prototype, improving initial access performance by 3 dB
- Built GPU-accelerated system-level simulators in Python/PyTorch and Sionna
- (May–Aug 2022) Wireless Networking Intern, Samsung Research America
- Designed low-overhead FR2 beam management algorithm reducing beam selection error from ~8% to ~1%
- (Jan 2021–Jan 2022) Wireless Networking Intern, InterDigital R&I
- Researched mobility management protocols for directional mmWave systems
- (Jun–Sep 2020) Networking & ML Intern, Nokia Bell Labs
- Developed ML-assisted scheduling for deterministic flows in time-synchronized networks (FlowToss)
- (2018–2022) Research Assistant, NYU Wireless, New York University
- Ph.D. research on low-latency mobility management in directional wireless networks
- (2018–2022) Teaching Assistant, New York University
- Machine Learning (4 semesters), Internet Architecture and Protocols (2 semesters)
Education
- Ph.D., Electrical and Computer Engineering — New York University (2022), GPA: 3.98/4
- B.Sc., Electrical & Electronics Engineering + B.Sc. Physics (Double Major) — Bogazici University (2018), GPA: 3.53/4
- Exchange Student — University of Texas at Austin (Fall 2016), GPA: 3.90/4
Honors & Awards
- (2025) Global Samsung Best Paper Award (Bronze)
- (2025) Samsung Research America Best Commercial Patent Award
- (2025, 2024, 2023) Samsung Research America A1 Inventor Award
- (2023) Dante Youla Award for Graduate Research Excellence in Electrical Engineering — NYU
- (2022) GLOBECOM 2022 NSF Student Travel Grant
- (2021, 2022) Center for Advanced Technology in Telecommunications (CATT) Fellowship — NYU
- (2018–2021) Ernst Weber Fellowship — NYU