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
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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.
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.
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.
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.