Fatih Bildirici
Logo PhD Student in Artificial Intelligence

I'm currently pursuing a PhD in Artificial Intelligence at Ankara University, after earning an MSc in Management Information Systems and in Cognitive Science—because why settle for just one field when you can explore multiple?

I work as Senior Subject Matter Expert at ASELSAN, where I lead transformative projects and initiatives. I also embrace this role in various transformation projects and provide consultancy to startups, collaborating with innovative tech companies specializing in AI and digital transformation.

My core focus is on artificial intelligence and software development, with a keen interest in Explainable AI, AI Integrations into Business, and Innovations in AI. I'm dedicated to building explainable and responsible AI systems that prioritize transparency and ethical integration into society. Ultimately, I believe in the power of AI to drive positive change—and I'm here to help make that happen.

Recommended reading:
- A Survival Guide to a PhD by Andrej Karpathy
- Advice for researchers and students by Michael Ernst from UW
- Advice and Resources for PhD students in AI/ML by Truyen Tran


Education
  • Ankara University
    Ankara University
    Department of Artificial Intelligence
    Ph.D. Student
    Feb. 2024 - present
  • Middle East Technical University
    Middle East Technical University
    MSc in Cognitive Science
    Sep. 2025 - present
  • Ankara Yıldırım Beyazıt University
    Ankara Yıldırım Beyazıt University
    B.S. and MSc in Information Systems
    Sep. 2021 - Jul. 2023
Experience
  • ASELSAN
    ASELSAN
    Senior Subject Matter Expert
    Sep. 2024 - present
  • Advanced Natural Language and Multimedia Processing Lab
    Advanced Natural Language and Multimedia Processing Lab
    Research Fellow
Honors & Awards
  • Responsible AI Institute Research Fellow
    2024
  • Future Innovation Leaders Fellow
  • Hamdi Ulukaya Girişimi Fellow
News
2024
Featured talk Demystifying Machine Intelligence The Path to Explainable AI at AICon0.2, Ankara University YazGit. Explored XAI techniques for transparency in complex models and their role in building industry trust.
Nov 13
Delivered keynote talks on AI Business Integration (Future Innovation Leaders), Explainable AI (Atatürk University), and MLOps (Ankara University YAZGİG25) - spanning the full AI implementation spectrum.
Oct 19
I delivered a student presentation at EEML that illuminated how the Feynman technique’s clear, simple explanations empower deeper understanding and trust in Explainable AI, bridging complex models with human intuition. Featured
Jul 05
🎙️ My Podcast "Otostopçunun Yapay Zeka Rehberi" has become Turkey's most listened AI podcast, offering a trusted guide through the complex universe of artificial intelligence inspired by Douglas Adams' unforgettable work. Listen My Podcast
Jan 30
Selected Publications (view all )
Open-source AI: An approach to responsible artificial intelligence development
Open-source AI: An approach to responsible artificial intelligence development

Fatih Bildirici

Jurnal Sosiologi Reflektif (JSR) 2024 Spotlight

This paper comprehensively addresses the risks, problems, and ethical issues for the responsible development of artificial intelligence (AI) technologies. It demonstrates the critical importance of this approach to the future of AI by addressing both technological innovation and societal values in a balanced manner.

Open-source AI: An approach to responsible artificial intelligence development

Fatih Bildirici

Jurnal Sosiologi Reflektif (JSR) 2024 Spotlight

This paper comprehensively addresses the risks, problems, and ethical issues for the responsible development of artificial intelligence (AI) technologies. It demonstrates the critical importance of this approach to the future of AI by addressing both technological innovation and societal values in a balanced manner.

Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework
Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework

Fatih Bildirici

El-Cezeri Journal of Sciences 2024

This study provides a comprehensive framework for analyzing and optimizing the performance impacts of configuration and release management processes in microservice-based software systems. Through advanced methodologies, including time-series modeling, regression analysis, anomaly detection, and optimization techniques, the research emphasizes the critical influence of configuration parameters.

Optimizing Microservice Performance: A Software Configuration Management Changes and Time Series Analysis Framework

Fatih Bildirici

El-Cezeri Journal of Sciences 2024

This study provides a comprehensive framework for analyzing and optimizing the performance impacts of configuration and release management processes in microservice-based software systems. Through advanced methodologies, including time-series modeling, regression analysis, anomaly detection, and optimization techniques, the research emphasizes the critical influence of configuration parameters.

All publications