Prof. Dr. Evren Yıldırım

Prof. Dr. Evren Yildirim

Professor of Computer Science & Artificial Intelligence

Prof. Dr. Evren Yıldırım
Araştırma Laboratuvarı Açık

Prof. Dr. Evren Yildirim

Professor of Computer Science & Artificial Intelligence
Multidisciplinary research on human-centered AI algorithms, deep reinforcement learning, and computational transformations in society.
4,800+
Citations
34
h-index
85+
Publications
12
Active Projects
2025 • Peer-Reviewed

Trustworthiness and Transparency Frameworks in Explainable Artificial Intelligence

Prof. Dr. Evren Yildirim, Dr. Sarah Chen, Dr. Mehmet Aksoy

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2024 • Peer-Reviewed

Auditing Bias and Algorithmic Fairness in Large Language Models

Prof. Dr. Evren Yildirim, Dr. Clara Dupont

ACM Transactions on Intelligent Systems and Technology (TIST)

2023 • Peer-Reviewed

Deep Reinforcement Learning for Autonomous Fleet Management and Dynamic Routing

Prof. Dr. Evren Yildirim, Caner Sahin

Nature Machine Intelligence

Published Books

Tüm Kitaplar
Otonom Sistemler ve İnsan Geleceği: Yapay Zekâ, Etik ve Toplumsal Dönüşüm

Artificial Intelligence and Future Society: Explorations in Technology, Ethics, and Social Transformation

Oxford Academic Press (2024)

Published by Oxford Academic Press, this comprehensive monograph explores the implications of deep learning algorithms, autonomous decisions, and AI ethics on m...

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Academic Career & Milestones

B.S. & M.S. in Computer Engineering, METU

Graduated with honors and completed M.S. thesis on Computer Vision.

Ph.D. & Postdoc at MIT CSAIL

Ph.D. at MIT CSAIL focused on Autonomous Decision Systems and Reinforcement Learning.

Associate Professorship & TUBITAK Incentive Award

Awarded for international high-impact publications and patents in AI & Machine Learning.

Full Professorship & Lab Directorship

Promoted to Full Professor of Computer Science. Founded the AI & Autonomous Systems Research Lab.

Featured Essays & Thoughts

Tüm Yazılar
01.08.2026

Rethinking Scientific Ethics and Academic Production in the Era of Large Language Models

Generative Large Language Models (LLMs) are profoundly altering scientific research and paper authoring workflows. However, this speed comes with u...

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15.07.2026

Why Explainable AI (XAI) is a Necessity, Not an Option

When black-box AI models diagnose medical conditions, approve credit applications, or steer autonomous vehicles without revealing their reasoning, ...

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