About Me
Driving Innovation in Secure AI & High-Reliability Systems
I am a Senior Software Engineer, Researcher, and Technical Leader with over a decade of experience architecting enterprise-scale systems and leading high-performance cross-functional teams.
Holding a Ph.D. in Secure & Distributed Machine Learning, I bridge the gap between advanced academic research and mission-critical industrial applications. My expertise lies in designing proof-of-learning protocols, robust distributed systems, and real-time simulation software where failure is not an option.
As a leader, I specialize in translating complex research into production-ready solutions, mentoring engineering talent, and driving technical strategy for cloud and aerospace platforms.
Highlights:
- Leadership: Leading cross-functional teams to deliver critical infrastructure and high-reliability software.
- Research Authority: Pioneering research in Proof-of-Learning, ML Watermarking, and Blockchain-Enhanced ML.
- Engineering Excellence: Architecting cloud-native services (Scala, TypeScript, gRPC) and real-time C++ simulation kernels.
News
- December 2025: Published the paper, “SecurePoL: Integration of Watermarking with Proof-of-Learning to Enhance Security Against Spoofing Attacks”, in the IEEE Access Journal. Read more
- August 2025: Graduated with a Ph.D. in Electrical Engineering and Computer Science (ERAU). Dissertation: “Enhancing Proof-of-Learning Security Against Spoofing Attacks Using Model Watermarking.” Advisor: Dr. Kenji Yoshigoe. Dissertation link. Diploma verification.
- July 2025: Successfully defended my Ph.D. dissertation. Title: “Enhancing Proof-of-Learning Security Against Spoofing Attacks Using Model Watermarking.” Advisor: Dr. Kenji Yoshigoe.
- November 2024: Successfully defended my Ph.D. proposal. I am now officially a Ph.D. Candidate.
- November 2024: Published the paper, “Enhancing Security of Proof-of-Learning against Spoofing Attacks Using Feature-Based Model Watermarking”, in the IEEE Access Journal. Read more
- December 2023: Published the survey paper, “Survey on Blockchain-Enhanced Machine Learning”, in the IEEE Access Journal. Read more
- January 2023: Completed all Ph.D. coursework requirements.
- May 2022: Passed the Ph.D. qualifying exam.
- May 2021: Published the paper, “Automatic Detection of Cyber Security Events from Turkish Twitter Stream and Newspaper Data”, in the International Conference on Information Systems Security and Privacy (ICISSP). Read more