Find Academic Supervisors

• Blockchain Technology
• Cyber Security
• Computer Networks
• +6 more

Enis Karaarslan is a Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With a distinguished academic career spanning over two decades, he has established himself as a leading expert in blockchain technology, cybersecurity, and decentralized systems. His educational background includes a Bachelor's, Master's, and Doctorate all from Ege University, completed between 1994 and 2008. Dr. Karaarslan's research interests focus on the intersection of emerging technologies and practical applications, particularly in blockchain for disaster management, cybersecurity systems, metaverse technologies, and AI applications. His work demonstrates a consistent pattern of addressing real-world challenges through technological innovation, with a strong emphasis on privacy preservation and decentralized architectures. Analysis of his publication record reveals a significant trend toward blockchain applications across various domains including disaster response, healthcare, voting systems, and identity management. His recent work shows increasing focus on metaverse technologies and digital twin applications, reflecting his ability to stay at the forefront of emerging technological paradigms. The breadth of his research spans from theoretical foundations to practical implementations, with numerous papers addressing performance metrics, security evaluations, and real-world case studies. Best Paper Award (2016) Multiple TÜBİTAK research projects as principal investigator or consultant Extensive editorial work for journals including Journal of Metaverse As an educator, Dr. Karaarslan has supervised numerous graduate students through their thesis work and teaches advanced courses in computer networks, decentralized systems, and cybersecurity. His research projects demonstrate strong industry and government collaboration, particularly with TÜBİTAK-funded initiatives addressing national security, privacy concerns, and technological infrastructure development. His laboratory work focuses on practical implementations of theoretical concepts, with emphasis on testbed development for blockchain applications and security evaluation frameworks.

• Web Search Engines
• Text-to-SQL Systems
• Online Social Network Analysis
• +5 more

Özgür Ulusoy is a Professor of Computer Engineering at Bilkent University, Turkey. He has held academic positions since 1993, including Assistant Professor (1993–2003) and Associate Professor (1998–2003) before becoming a full Professor in 2003. He earned his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1992, following an M.S. (1988) and B.S. (1986) in Computer Engineering from Bilkent University and Middle East Technical University, respectively. His research focuses on web search engines, text-to-SQL systems, social network analysis, multimedia databases, and wireless/mobile systems. Notable projects include developing domain-specific web portals, optimizing query result caching, and exploring semantic relationships for search engine efficiency. He has directed over 20 sponsored projects funded by TÜBITAK, EU, and international collaborations, involving topics like data mining in mobile networks and real-time database scheduling. Ulusoy’s work bridges theoretical contributions with practical implementations, including prototyping video database systems and educational search engines. His research often emphasizes scalability, efficiency, and user-centric design. He has advised graduate students such as Arif Usta and Akifhan Karakayalı. His team’s contributions span algorithm development, system prototyping, and interdisciplinary applications in multimedia, social networks, and cloud computing. Key grants include projects on information retrieval paradigms in SQL translation (TÜBITAK, 2019–2021), refreshment strategies for web search caching (TÜBITAK, 2010–2011), and semantic relationships in search engines (TÜBITAK, 2008–2010). His recent work addresses challenges in IoT sensor networks, cloud resource scheduling, and mitigating misinformation in online platforms.

Faik Boray TekView profile

Associate Professor

• Medical Image Analysis
• Deep Learning
• Artificial Neural Networks
• +7 more

Assoc. Prof. Dr. Faik Boray Tek is a faculty member in the Department of Artificial Intelligence and Data Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He joined ITU in August 2022 after serving as an Assistant Professor in Computer Engineering at Işık University from 2009 to 2022. His research bridges artificial intelligence and healthcare, with a strong focus on medical image analysis. Education: PhD in Medical Image Analysis, University of Westminster, UK (2007) MSc in Electrical and Electronics Engineering, Middle East Technical University (2003) BSc in Electronic Engineering, Başkent University (2000) His research interests include deep learning, artificial neural networks, medical image analysis, malaria diagnosis, and retinal disease detection . He leverages advanced AI models for diagnosing Alzheimer's disease and diabetic retinopathy using optical coherence tomography (OCT) and OCT angiography (OCTA). His work also extends to Text-to-SQL systems and neuron modeling. Recent publications (2023–2025) demonstrate a strong trend in medical AI , particularly in ophthalmology and neurodegenerative disease diagnosis. He employs foundational models, segmentation techniques, and hybrid architectures to analyze OCT and OCTA scans. Additional work focuses on time-series forecasting via enhanced recurrent units and systematic reviews of AI in healthcare. His publications appear in IEEE Access, Pattern Recognition, and UBMK proceedings. Scientific Awards: Above Threshold Award, TÜBİTAK (2024) Dr. Tek leads active research projects funded by TÜBİTAK and ITU-BAP, including "Optical Coherence Tomography (and Angiography) Scans and Deep Learning-Based Alzheimer's Disease Diagnosis" and "Two-Dimensional Adaptive Local Connected Neuron Model" . He has advised multiple theses and supervised research outputs, indicating active mentorship. His collaborations include Heidelberg Collaboratory for Image Processing (2015). He is affiliated with research labs and teams at ITU focused on AI and data engineering, contributing to both academic and applied innovations in medical diagnostics and neural architectures.

Recep Firat CekinelView profile

Researcher

• Natural Language Processing
• Multimodal Fact-Checking
• Explainable AI
• +7 more

Recep Firat Cekinel is a Turkish NLP researcher who recently obtained his Ph.D. in Computer Engineering from Middle East Technical University (METU). He spent 13 months as a visiting predoctoral researcher at the University of Tübingen and is currently a researcher on the EU-funded EXA4MIND project, where he develops NLP pipelines that convert natural language into database queries using large language models. His research focuses on responsible, scalable AI systems and bridges foundational NLP work with real-world applications. Education: Ph.D. in Computer Engineering, Middle East Technical University (METU), Türkiye Visiting Predoctoral Researcher, University of Tübingen, Germany (13 months) Research Interests: Dr. Cekinel’s work spans natural language processing , multimodal fact-checking , explainable AI , and large language models . He is particularly interested in building responsible and scalable AI systems that integrate foundational research with practical deployments, such as natural-language interfaces for high-performance computing environments. Recent Publication Trends: His 2025 publications reveal a concentrated effort on multilingual and multimodal fact-checking , satire-style debiasing , and NL-to-database-query generation . Earlier work explores graph-based event extraction , Turkish irony detection , and cultural-heritage text mining , demonstrating a trajectory from low-resource Turkish NLP toward globally applicable, responsible-AI systems. Contact & Code: Email: rfcekinel@ceng.metu.edu.tr Office: METU Computer Eng. Dept. A-206, 06800 Ankara, Turkey Phone: +90-(312)-210-5593 GitHub: firatcekinel Google Scholar: profile available