Find Academic Supervisors

• Signal Processing
• Image Processing
• Machine Learning
• +13 more

Prof. Dr. Behçet Uğur Töreyin is a full Professor at the Informatics Institute of Istanbul Technical University, where he also serves as Head of Department since 2023. He leads the Signal Processing for Computational Intelligence (SP4CING) research group, focusing on advanced signal and image processing techniques for intelligent systems. His work spans interdisciplinary applications in bioimaging, environmental monitoring, surveillance, and remote sensing. PhD in Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University (2009) MS in Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University (2003) BS in Electrical and Electronics Engineering, Middle East Technical University (2001) His research interests include signal processing, image processing, machine learning, pattern recognition, deep learning, computer vision, and compressed domain analysis. He has pioneered work in flame detection, video understanding in compressed domains, and efficient neural architectures. His recent publications emphasize green AI, model efficiency, and privacy-preserving techniques. The analysis of his 15 most recent articles (2022–2024) reveals a strong focus on compressed domain processing, efficient deep learning models (e.g., HaLViT), biomedical imaging, and environmental applications. He frequently employs transformer models, CNNs, and hybrid architectures for tasks such as Raman spectroscopy quantification, smoking detection in video, and server fault diagnosis using thermal imaging. Scientist of the Year, SCIENCE HEROES ASSOCIATION (2017) Entrepreneurial and Innovative Graduation Design Project (BTP) Competition, ITU (2016) 2241 Industrial Undergraduate Thesis Competition, TÜBİTAK (2016) Golden Youth, İş Bank (1997) Prof. Töreyin has supervised several students, including Mr. Berk Arıcan, whose M.S. thesis won the best thesis award in computer science at ASELSAN Akademi in 2023. He has led numerous research projects funded by TÜBİTAK and other agencies, including work on quantum machine learning for carbon credit trading and lip-sync error detection in live broadcasts. He actively mentors students and promotes innovation in computational intelligence. He leads the SP4CING research group at ITU, which focuses on designing signal processing techniques for computational intelligence. The group's work integrates deep learning, compressed domain analysis, and multi-modal sensing for real-world applications in healthcare, environment, and industry.

• Data Engineering
• Data Science
• Indoor Location-Based Services
• +3 more

Tiantian Liu is an Assistant Professor in the Department of Computer Science at Aalborg University, under the Technical Faculty of IT and Design. Her research focuses on data engineering and systems, particularly in the context of indoor location-based services and data science. Research Interests: Her work spans data management, indoor positioning, spatiotemporal databases, and scalable systems. She applies techniques from data science and computer science to solve challenges in real-time data processing, data quality, and context-aware applications. The publication trend from 2020 to 2024 shows a consistent focus on data engineering, with topics including indoor LBS, query optimization, distributed systems, and data integration. Her research combines theoretical database principles with practical system implementations. Scientific Awards: Prize (1) Advising and Grants: While no formal students are listed, she has participated in externally funded research projects. She was a project participant in Data Management Foundations for Indoor LBS (2019–2021), contributing to foundational work in indoor data systems. Labs and Teams: She is a member of the Data Engineering, Science and Systems research group at Aalborg University, collaborating on data-intensive systems and applications.

• Respiratory Medicine
• Pulmonary Diseases
• Chest Diseases
• +5 more

Professor YILMAZ BÜLBÜL is a distinguished academic at Karadeniz Technical University's Faculty of Medicine, Department of Internal Medicine specializing in Chest Diseases. With over 25 years of academic service, he has progressed through the ranks from Lecturer (1999-2001) to Assistant Professor (2001-2006), Associate Professor (2006-2011), and currently serves as Professor since 2011. His research interests span Respiratory Medicine, Pulmonary Diseases, Chest Diseases, Internal Medicine, Sleep Medicine, Pulmonary Thromboembolism, Lung Cancer , and COPD . Dr. Bülbul has made significant contributions to understanding pulmonary embolism diagnostics, COPD management, lung cancer palliative care, and respiratory complications in sleep disorders. His work often bridges clinical practice with innovative approaches including AI applications in pulmonary diagnostics. An analysis of his recent publications reveals a strong focus on real-world clinical applications, with particular emphasis on pulmonary fibrosis treatments (2025), nocturnal symptoms in COPD utilizing machine learning (2024), and pulmonary complications following thoracic surgery (2022). His research demonstrates consistent translational value with direct clinical applications in respiratory medicine. Professor Bülbul has supervised 6 theses and maintains active research collaborations across Turkey. His work has generated substantial scholarly impact with 795 citations (Scopus) and an h-index of 18. He serves as a peer reviewer for numerous SCI journals including Balkan Medical Journal and Türk Tıp Bilimleri Dergisi, contributing to scientific quality control in his field. His laboratory and clinical research focuses on pulmonary diagnostics, respiratory complications of systemic diseases, and innovative approaches to respiratory symptom management. Current work appears to integrate artificial intelligence with traditional pulmonary diagnostics, reflecting his adaptation to emerging technologies in medical research.

İsmail AKTÜRKView profile

Assistant Professor

• Computer Architecture
• Brain-Inspired Computing
• Energy-Efficiency
• +3 more

Dr. İsmail AKTÜRK serves as an Assistant Professor in the Computer Science Department within Ozyegin University's Faculty of Engineering. Previously, he held an Assistant Professor position at the University of Missouri - Columbia's Department of Electrical Engineering and Computer Science for four years. His academic foundation includes a Ph.D. in Electrical and Computer Engineering from the University of Minnesota, Twin Cities. Education: Ph.D. in Electrical and Computer Engineering, University of Minnesota, Twin Cities, 2017 M.S. in Computer Engineering, Bilkent University, 2013 M.S. in Electrical Engineering, Louisiana State University, 2009 B.S. in Computer Engineering, Doğuş University, 2007 Dr. AKTÜRK's research centers on Computer Architecture with specialized expertise in brain-inspired computing and neuromorphic systems . He pioneers unconventional computing paradigms that integrate memory and processing units to eliminate energy-intensive data transfers inherent in traditional von Neumann architectures. His work employs hardware/software co-design methodologies to enhance energy efficiency for data-intensive applications like deep learning through spatial and temporal approximations. He directs the Computer Architecture and System Technologies Lab, where his research group develops application-specific systems exploiting novel devices and algorithmic advancements. Dr. AKTÜRK actively mentors graduate students in creating energy-efficient computing solutions for emerging computational challenges.

• Medical Genetics
• Pediatric Genetics
• Rare Diseases
• +4 more

Assoc. Prof. ÖZLEM AKGÜN DOĞAN is an Associate Professor at Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Medical Sciences, specializing in Pediatric Health and Diseases. She serves as Ethics Committee Member, Postgraduate Education Responsible, Deputy Postgraduate Education Coordinator, and Member of the Faculty Board at the same institution. Additionally, she is the ACURARE Vice President at Acibadem Mehmet Ali Aydinlar University School of Medicine. Dr. Akgün Doğan completed a Post Doc at Yale University (2021-2022) through the Fulbright Program. She is an active member of the European Board of Clinical Genetics and serves as the Undiagnosed Disease Network International Country Representative for Turkey. Her academic career includes teaching at undergraduate, postgraduate, and doctorate levels in courses related to Translational Medicine, Developmental Genetics, Mendelian Inheritance, and Pediatric Genetics. Her research focuses on Medical Genetics, Pediatric Genetics, Rare Diseases, Undiagnosed Diseases, and Genomic Medicine. Analysis of her recent publications reveals a strong emphasis on whole-genome sequencing applications, deep phenotyping for rare disease diagnosis, skeletal dysplasias, and molecular characterization of genetic disorders in pediatric populations. Her work demonstrates significant contributions to understanding BCL11B-related diseases, achondroplasia treatments, craniosynostosis registries, and diagnostic approaches for critically ill infants. 107 publications indexed in Web of Science 57 publications indexed in Scopus 91 H-Index in Web of Science 84 H-Index in Scopus 9 thesis advisory roles Dr. Akgün Doğan has secured multiple research grants including projects on ARID1B-related disorders, undiagnosed skeletal dysplasias, craniosynostosis registry development, and rapid genome sequencing for critically ill infants. She currently supervises postgraduate student J.Ceren on craniosynostosis registry research and serves as an Assistant Editor for the European Journal of Medical Genetics. Her leadership extends to organizing workshops on rare diseases and genomic medicine, and she is frequently invited to speak at national and international conferences on genetic diagnostics and rare disease research.

KÜBRA UYARView profile

Lecturer

• Artificial Intelligence
• Computer Vision
• Medical Image Analysis
• +2 more

KÜBRA UYAR is a Lecturer at Alanya Alaaddin Keykubat University's Rafet Kayış Faculty of Engineering, Department of Computer Engineering. She previously worked as a Research Assistant at Selçuk University's Faculty of Technology (2022-2023) and continues her academic contributions in image processing and artificial intelligence. PhD in Computer Engineering (2022), Selçuk University MSc in Computer Engineering (2017), Selçuk University BSc in Computer Engineering (2014), Melikşah University Double Major in Mathematics (2014), Melikşah University Her research focuses on Artificial Intelligence , Computer Vision , and Medical Image Analysis , with a strong emphasis on Machine Learning and Image Processing . Current work includes developing explainable AI models for retinopathy diagnosis and optimizing CNN architectures for biomedical applications. Recent publications highlight trends in Deep Learning for agriculture (chestnut classification), Medical Imaging (retinopathy, leukocyte detection), and Optimization (CNN hyperparameters, B-spline algorithms). Her work bridges Computer Science with Healthcare and Industrial Applications . Key projects include the Data-Intensive and Computer Vision Research Laboratory Infrastructure Project (2020-2021) and the Selçuk University Weather Monitoring System (2018-2020), both funded by higher education institutions.

• Industrial Engineering
• Supply Chain Management
• Logistics and Transportation
• +9 more

Professor Eren Ozceylan is a faculty member at Gaziantep University, Faculty of Engineering, Industrial Engineering Department . He holds a PhD in Computer Engineering from Selcuk University (2013), an MSc in Industrial Engineering (2010), and a BSc in Industrial Engineering (2007). His research focuses span Supply Chain Management , Logistics and Transportation , Modeling and Optimization , and Humanitarian Logistics , with a strong emphasis on GIS-based spatial analysis , Fuzzy Logic , and Industry 4.0 technologies. Education: PhD (2013) in Computer Engineering, Selcuk University MSc (2010) in Industrial Engineering, Selcuk University BSc (2007) in Industrial Engineering, Selcuk University His work integrates Multicriteria Decision Analysis (MCDM) with Mathematical Programming , addressing challenges in Sustainable Supply Chains , Refugee Camp Location Planning , and Smart Manufacturing . Recent publications highlight applications of Blockchain for supplier selection, AI-assisted translation in logistics, and Drone-based inventory management . He has authored 25 book chapters and 125 peer-reviewed journal articles, often collaborating with researchers like Ibrahim Mirac Eliguzel, Suleyman Mete, and Cihan Cetinkaya. Scientific contributions include pioneering studies on Disassembly Line Balancing for end-of-life products, GIS-based Maximum Coverage Models for humanitarian depots, and Fuzzy AHP-WASPAS frameworks for electric vehicle charging stations. His work appears in high-impact journals such as Expert Systems with Applications , IEEE Transactions on Engineering Management , and Journal of Cleaner Production , with a focus on Q1/Q2 quartile journals and SCI/SSCI indexing . Professor Ozceylan's methodological toolkit includes Hybrid Metaheuristics (e.g., Discrete Crow Search, Beam Search), Entropy Weighting , and Spherical Fuzzy Sets . He has presented at 218 international/national conferences, addressing topics like Autonomous Systems , ERP Integration for Industry 4.0 , and AI in Last-Mile Delivery . His research bridges theoretical innovation with real-world applications in sectors ranging from Textiles to Public Transportation in Turkey-Syria border regions.

Nezih TopaloğluView profile

Associate Professor

• Mechanical Vibrations
• Energy Harvesting
• MEMS
• +3 more

Prof. Dr. Nezih Topaloğlu is an Associate Professor in the Department of Mechanical Engineering at Yeditepe University's Faculty of Engineering. He has progressed from Lecturer (2009) to Assistant Professor (2010) and Associate Professor (2017), maintaining active research and teaching roles through 2025. His educational background includes a B.Sc. in Electrical-Electronics Engineering from Bogazici University (2000-2004) and an Integrated Ph.D. in Mechanical Engineering from the University of Waterloo (2004-2009), where his thesis focused on uncooled microbolometers. Topaloğlu's research centers on mechanical vibrations, energy harvesting systems, MEMS, and mechatronics. He has pioneered innovations in piezoelectric vibration energy harvesters with movable tip masses, thermal conductance tuning for microbolometers, and nonlinear damping mechanisms. His experimental work bridges theoretical modeling with practical applications in sensor design and energy conversion systems. Analysis of his 10 most recent publications (2010-2025) reveals an evolution from core MEMS and vibration harvesting research (2010-2017) toward interdisciplinary applications including machine learning for maritime horizon detection (2022-2025). This shift demonstrates expanding expertise while maintaining foundational work in piezoelectric systems and vibration analysis. Scientific recognition includes: International Graduate Student Award (University of Waterloo, Turkey) Teaching Assistance Excellence Award (University of Waterloo, Canada) He has supervised six graduate students across master's and doctoral programs, focusing on vibration energy harvesters, solenoid actuators, and machine learning diagnostics. Research funding includes five TÜBİTAK projects, notably as Principal Investigator for the homogeneous stress distribution piezoelectric generator project (2017-2020) and ongoing nanosystems research (2021-). His work is supported by three patents covering vibration energy harvesters, power generation systems, and dishwasher mechanisms, reflecting practical applications of his vibration and MEMS research.

• Interior Architecture
• Environmental Design
• Architectural Acoustics
• +4 more

Donya Dalir serves as an Assistant Professor in the Department of Interior Architecture at Yeditepe University's Faculty of Architecture, where she conducts research at the intersection of architectural design, acoustic perception, and environmental psychology. Her work examines how sound environments shape human experience within built spaces, with particular emphasis on cultural specificity in Turkish contexts. Her academic foundation includes a PhD (2016-2022) and Master's degree (2014-2016) in Interior Architecture and Environmental Design from Bilkent University's Institute of Economics and Social Sciences, providing rigorous training in interdisciplinary research methodologies applicable to architectural acoustics. Dalir's research program investigates soundscape perception through corpus-based linguistic approaches, statistical modeling of auditory attributes, and virtual reality experiments in healthcare environments. She pioneers culturally-grounded frameworks for understanding Turkish soundscapes while exploring how auditory cues influence spatial cognition and wayfinding in clinical settings, contributing to evidence-based acoustic design principles for therapeutic spaces. Analysis of her six recent publications (2022-2023) reveals a cohesive research trajectory: developing methodological innovations for soundscape attribute identification through corpus-driven analysis and principal component modeling, then applying these frameworks to examine sound's impact on spatial knowledge acquisition in virtual healthcare environments. This work demonstrates consistent integration of architectural theory, psychoacoustics, cognitive science, and cultural studies with practical implications for healthcare facility design.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +3 more

Turgut Pura serves as an Assistant Professor in the Software Engineering Department within the Faculty of Engineering at Istanbul Gedik University. He concurrently holds appointments at Gedik Vocational School's Department of Computer Technologies, demonstrating dual institutional engagement across undergraduate and vocational academic units. His educational foundation includes a Doctorate in Computer Engineering from Istanbul Aydın University (2018-2023), Master's degree in Computer Engineering (2011-2016), Bachelor's in Computer Engineering from Istanbul Cultural University (2005-2009), and Associate Degree in Computer Programming from Beykent University (2003-2005). Doctorate: Computer Engineering, Istanbul Aydın University (2018-2023) Master's: Computer Engineering (Thesis), Istanbul Aydın University (2011-2016) Bachelor's: Computer Engineering (English), Istanbul Cultural University (2005-2009) Associate Degree: Computer Programming, Beykent University (2003-2005) Professor Pura's research spans core computer science disciplines with emphasis on Database Systems, Artificial Intelligence applications, and Algorithmic theory. His work integrates theoretical computational frameworks with practical software engineering implementations, particularly relevant to modern data-intensive systems and intelligent computing solutions. No scientific awards or fellowships were documented in available institutional records. Academic service includes progressive appointments since 2019: initial Lecturer role at Gedik Vocational School, advancement to Doctor Lecturer in 2023 across both Engineering Faculty and Vocational School units, culminating in Assistant Professor position within Software Engineering Department in 2024. Contact details indicate primary campus assignment at Eagle Campus (Internal 2136).