Ufuk A. — Python/ML Engineer, Data Scientist

Experience

Data Scientist - Frontliners.ai

October 2022 – Present

• Developed the AI-based Performance Measurement Model using Machine Learning libraries and the Scheduling Model using optimization libraries in Python.
• Created RestAPI’s for the models in Microsoft Azure. Managed ML Studio and Function App resources in Microsoft Azure.
• These models made Frontliners application stand out among competitors, increasing the number of users significantly.
• Used Azure Data Studio to run SQL queries to manage user data.

Machine Learning Engineer - TUBITAK

June 2020 – July 2022

• Designed physical layer security models in the “AI-based 6G Next Generation Communication Systems” Project of National Leader Researchers Program of TUBITAK (Project No: 121C254) as a part of the PhD studies.
• Developed ML-based anti-spoofing models and Reinforcement Learning-based anti-jamming models.

R&D Engineer - ASELSAN

May 2019 – June 2020

• Designed Index Modulation-based anti-jamming communication systems.

Personal Projects

Domain Generalization via Gradient Surgery

• Worked on the Domain Generalization problem of Deep Learning applications and investigated the state-of-the-art solutions including gradient surgery, multitask learning, adversarial feature learning and model agnostic learning of semantic features.
• Implemented a gradient surgery method for domain generalization with Python and Julia.
• Conducted experiments on PACS, VLCS and Office-Home image datasets.

Federated Learning via Over-the-Air Computation

• Conducted in-depth research on cutting-edge Machine Learning and Federated Learning models.
• Collaborated on integrating Federated Learning methods into wireless networks and edge computing systems.
• Performed extensive testing of the FedAvg algorithm using the CIFAR-10 dataset in MATLAB.

Highlighted Publications

• U. Altun and E. Basar, "A Reinforcement Learning-Assisted OFDM-IM Communication System against Reactive Jammers," in IEEE Transactions on Cognitive Communications and Networking.
• Altun, U., Basar, E. Machine Learning-Based PHY-Authentication Without Prior Attacker Information for Wireless Multiple Access Channels. Wireless Pers Commun 135, 1383–1396 (2024).
• B. Ozpoyraz, A. T. Dogukan, Y. Gevez, U. Altun and E. Basar, "Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures," in IEEE Open Journal of the Communications Society, vol. 3, pp. 1749–1809, 2022.
• U. Altun, S. T. Basaran, G. K. Kurt and E. Ozdemir, "Scalable Secret Key Generation for Wireless Sensor Networks," in IEEE Systems Journal, vol. 16, no. 4, pp. 6031–6041, Dec. 2022.
• U. Altun, G. Karabulut Kurt and E. Ozdemir, "The Magic of Superposition: A Survey on Simultaneous Transmission Based Wireless Systems," in IEEE Access, vol. 10, pp. 79760–79794, 2022.

Education

Ph.D. in Electrical and Electronics Engineering

Koc University / Turkey

09.2020–06.2025