Towards Federated Learning in Identification of Medical Images: A Case Study

2021·
Ruşen Halepmollası
,
Merve Zeybel
,
Elif Eyvaz
,
Rabia Arkan
,
Ahsen Genç
,
İsmail Bilgen
Mehmet Haklıdır
Mehmet Haklıdır
Type
Publication
Artificial Intelligence Theory and Applications, 1(2). İzmir Bakırçay Üniversitesi
publications

Also presented at the II. International Artificial Intelligence in Health Congress (SYZ 2021), İzmir.

Research area: AI for Health, Computer Vision & Applied AI.

Mehmet Haklıdır
Authors
Founding Director, Artificial Intelligence Institute

Dr. Mehmet Haklıdır is the founding Director of the TÜBİTAK BİLGEM Artificial Intelligence Institute, Türkiye’s first national AI institute. He holds a Ph.D. in Control and Automation Engineering from Istanbul Technical University and has more than 24 years of experience in AI, autonomous systems, big data, simulation, and technology policy.

He contributed to Türkiye’s first National AI Strategy and led the technical preparation and coordination of the National Artificial Intelligence Action Plan 2026–2030, finalized through consultation with the national AI ecosystem. He serves on the Steering Committee of the Science, Technology and Innovation Policies Council of the Presidency of the Republic of Türkiye and is a member of several international AI governance initiatives, including OECD ONE AI, GPAI, UNESCO AI Ethics, NATO DAIRB, and the European AI Alliance.

His current research focuses on large language models, AI safety with an emphasis on agentic AI systems, deep reinforcement learning, robotics, and autonomous decision-making under uncertainty.