Find Academic Supervisors

• GPU Computing
• Parallel Processing
• Computer Architecture
• +5 more

Ayşe Yılmazer Metin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University's Faculty of Computer and Informatics. Her research focuses on computer architecture, GPU computing, and hardware security, with significant contributions to parallel processing systems and cryptographic implementations. Her educational background includes: PhD from Northeastern University (2010-2013) Degree from University of Rhode Island (2004-2007) Licence from Hacettepe University, Department of Computer Engineering (1991-1998) Dr. Yılmazer Metin's research interests center around GPU architecture and parallel computing systems. Her work addresses critical challenges in synchronization mechanisms for multi-GPU systems, power and energy measurement of embedded GPUs, and efficient implementations of cryptographic algorithms on specialized hardware. She has developed novel approaches to scope promotion in GPU environments, which significantly reduce communication overhead in multiprocessor systems. Her recent work has expanded into healthcare applications, developing privacy-preserving systems for real-time ECG monitoring and exploring homomorphic encryption techniques for secure computation. Her publication record shows a clear trajectory from fundamental GPU architecture research toward security applications and healthcare technology. Early work focused on GPU synchronization and memory management, while more recent publications demonstrate applications in secure medical systems and homomorphic encryption. This evolution reflects a strategic expansion of her core expertise in computer architecture into security-critical domains where hardware-level optimizations can provide significant advantages. Dr. Yılmazer Metin has served as Principal Investigator on multiple research projects: "Time-Critical Job Management in Multi-CPU + Multi-GPU Distributed Heterogeneous Systems" (2018-2019) "A Single-Processor GPU Architecture for More Efficient Graph Algorithms" (2018-2021) "Programmable Synchronization Architecture" (2018-2022) Her laboratory work focuses on GPU architecture and hardware security, with particular emphasis on developing efficient implementations of cryptographic algorithms on GPU platforms and optimizing graph neural network inference on heterogeneous computing systems.

• Robotics
• Artificial Intelligence
• Image Processing
• +4 more

Arda İnceoğlu is a Lecturer in the Department of Computer Engineering at the Faculty of Computer and Information, Istanbul Technical University, where he has served since 2021. His academic career is entirely rooted at this institution, having completed all degrees there. His educational qualifications include: Ph.D. in Computer Engineering, Istanbul Technical University (2018) M.Sc. in Computer Engineering (with thesis), Istanbul Technical University (2015-2018) B.Sc. in Computer Engineering, Istanbul Technical University (2011-2015) Dr. İnceoğlu's research spans robotics, artificial intelligence, and image processing, with specialized expertise in robot manipulation failure detection, multimodal sensor fusion, 3D facial animation from audio, and generative models. His work consistently applies deep learning techniques to solve complex problems in unstructured environments. Analysis of his 11 research outputs (2015-2024) reveals a dominant focus on robotic perception and manipulation, particularly through multimodal frameworks for failure anticipation. His publications demonstrate methodological innovation in knowledge distillation for error prediction, sensor fusion architectures, and cross-domain applications of generative models in architecture and animation. No information is available regarding scientific awards, student advisement, research grants, or laboratory affiliations.

• Artificial Intelligence
• Computer Engineering
• Agricultural Technology
• +3 more

Mehmet Selahaddin Şentop is a Research Assistant at Istanbul Technical University 's Computer Engineering Department within the Computer and Informatics College . Holding a PhD in Computer Engineering, his research focuses on applying AI to environmental data challenges. Education: PhD (2024), MSc (2022) in Computer Engineering from Istanbul Technical University Dual bachelor's degrees in Mathematics and Computer Engineering from Bogazici University Additional studies in Political Science and Economics Research Interests Şentop specializes in deep learning applications for agricultural monitoring systems , with emphasis on: Precipitation prediction modeling Spatiotemporal data reconstruction Error compensation in environmental datasets AI-driven agricultural data analysis Publications Recent works demonstrate expertise in applying deep neural networks to agricultural challenges, including: Short-term precipitation prediction for precision agriculture Spatiotemporal missing data imputation techniques Development of compensated network architectures Contact Email: sentop22@itu.edu.tr

Tuğba Pamay ArslanView profile

Lecturer

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +3 more

Tuğba Pamay Arslan is a Lecturer at Istanbul Technical University , affiliated with the Artificial Intelligence and Data Engineering Department under the College of Computer and Informatics. Her academic journey includes: PhD in Computer Engineering (2022) MSc in Computer Engineering with thesis (2015) BSc in Computer Engineering (2012) Her research focuses on Artificial Intelligence , Machine Learning , and Natural Language Processing , particularly: Coreference resolution in Turkish Neural network applications in linguistics Morphological data analysis Turkish sign language digitization Treebank annotation and development Multilingual computational models Key trends in her publications (2007-2025) include: Advancing Turkish language processing infrastructure Developing neural solutions for anaphora resolution Creating machine-readable sign language resources Improving computational linguistics frameworks Enhancing multiword expression analysis

• Artificial Intelligence
• Computer Networks
• Natural Language Processing
• +5 more

Prof. Dr. Osman Ayhan Erdem is a Professor at the Department of Computer Engineering, College of Technology, Gazi University. He completed all his academic degrees (BSc, MSc, PhD) at Gazi University's Institute of Science and Technology. His career spans roles as Research Assistant (1985-1989), Instructor (1989-2001), Assistant Professor (2001-2007), Associate Professor (2007-2013), and Professor since 2013. Established Computer Systems Education Department (1988) Co-founder of College of Technology Computer Engineering Department (2011) Served as Founding Deputy Dean (2011-2014) His research focuses on Artificial Intelligence and its applications in Computer Networks , Natural Language Processing , Machine Learning , and Image Processing . He has contributed to Cybersecurity and Fuzzy Logic systems, with over 161 WoS publications and 2581 total citations. His work includes text classification, content-based image retrieval systems, and generative AI (GPT) research. Prof. Erdem has participated in international projects including the German LDV project (2005) and Indiana University English training (1990). Contact: +90 312 202 8571 | Taşkent Building B406, Beşevler, Ankara, Turkey

Tolga ÇukurView profile

Professor

• Biomedical imaging
• Medical image analysis
• Computational neuroscience
• +6 more

Tolga Çukur is a Professor at Bilkent University, affiliated with the Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Center, and Neuroscience Graduate Program. His research focuses on computational imaging methods for biomedical applications and computational neuroscience. PhD in Electrical Engineering, Stanford University (2009) BSc in Electrical-Electronics Engineering, Bilkent University (2003) Research Interests : Develops ultra-fast MRI and MPI techniques using deep learning for vascular, musculoskeletal, and neurological disease diagnosis. Investigates human brain function during natural behavior via fMRI and machine learning, mapping semantic representations and cognitive processes. Scientific Awards : Rambus Stanford Graduate Fellowship TUBITAK Career Award (2015) TUBA-GEBIP Outstanding Young Scientist Award (2015) BAGEP Young Scientist Award (2017) IEEE Turkey Research Encouragement Award (2017) Science Heroes Association Young Scientist of the Year Award (2017) METU Prof. Dr. Mustafa Parlar Foundation Research Incentive Award (2019) TUSEB Aziz Sancar Incentive Award (2021) Senior Member of IEEE (2017) Fellow of ISMRM (2024) Labs & Teams : Leads the ICON Lab (Imaging and Computational Neuroscience Lab), affiliated with UMRAM, EEE Department, and Neuroscience Program at Bilkent University.

• Oral and Maxillofacial Radiology
• Artificial Intelligence
• Oral Cancer
• +3 more

Assoc. Prof. Gaye Sezgin Keser is an Associate Professor in the Department of Oral and Maxillofacial Radiology at Marmara University Faculty of Dentistry, Istanbul. Her work bridges advanced dental imaging with artificial intelligence to revolutionize diagnostic capabilities in oral healthcare, focusing on early disease detection and precision diagnostics through cutting-edge technological integration. Her academic journey includes: High School: VKV Koç School Bachelor of Dentistry: Marmara University (2006-2011) PhD in Oral and Maxillofacial Radiology: Marmara University (2012-2016) with thesis on periapical lesion evaluation using panoramic radiography and CBCT Dr. Keser's research spearheads the fusion of deep learning with oral radiology , targeting critical areas like oral cancer detection, mandibular condyle analysis, and ultrasonographic imaging. Her AI-driven methodologies for lesion segmentation and disease classification represent paradigm shifts in diagnostic accuracy, moving dentistry toward data-driven precision while maintaining clinical relevance through practical implementations in panoramic and CBCT imaging. Analysis of her recent publications reveals a dominant trend in AI-augmented diagnostics, with 80% of 2023-2025 works focusing on deep learning applications for oral cancer detection, radiographic interpretation, and anatomical segmentation. This research trajectory demonstrates systematic progression from foundational imaging studies toward sophisticated AI integration, establishing her as a pioneer in computational oral diagnostics within Turkish academia. She has supervised 4 graduate theses and contributed to 40 research projects, reflecting strong mentorship capabilities and collaborative research leadership. Her work extends to public health initiatives including earthquake disaster response analysis and nationwide oral cancer awareness assessments among dental professionals.

• Science, Technology and Society
• Cognitive Science
• Public Education
• +3 more

Prof. MEHMET FIRAT is a distinguished academic at Anadolu University, Faculty of Education, Department of Computer and Instructional Technologies Education . With a career spanning over two decades, his expertise lies in open and distance education, educational technology, learning analytics, and the intersection of science and technology with societal development . Doctorate (2007-2012): Anadolu University, Institute of Educational Sciences, Computer and Educational Technologies Education Undergraduate (2003-2007): Anadolu University, Faculty of Education, Computer and Instructional Technologies Education His research focuses on digital learning environments, AI integration in education, and the psychological dimensions of technology use . Recent work explores the impacts of generative AI and blockchain in open education , alongside digital divide issues in e-learning. A prolific author with over 158 WoS publications, his 2024 studies in SSCI journals examine AI ethics and open education paradigms. Key projects include the EMPOWER H2020 initiative and 3D Jail: Printing the Future (2018-2021). He has served as Vice Dean (2017-2020) and Erasmus Program Coordinator (2020-2021) , demonstrating leadership in academic administration. His work aligns with UN Sustainable Development Goals, particularly in education innovation.

Kenan ORÇANLIView profile

Associate Professor

• Management Information Systems
• Operations Research
• Industrial Engineering
• +9 more

Kenan ORÇANLI is an Associate Professor currently affiliated with multiple Turkish universities: Istanbul Atlas University, Istanbul Gelisim University, Istanbul Arel University, and Beykent University. He is based in the Department of Management Information Systems within faculties of Economics, Administrative and Social Sciences or Humanities and Social Sciences. His academic career began as a Lecturer at National Defense University in 2016, progressing to Doctor Lecturer roles at Toros University and Beykent University, and achieving Associate Professor status in 2022–2023. His research interests span Management Information Systems, Operations Research, Industrial Engineering, Quality Control, Logistics, Artificial Intelligence applications in business, and Organizational Behavior. He frequently employs advanced decision-making techniques such as Fuzzy AHP, MOORA, TOPSIS, and Data Envelopment Analysis in his work. The trends in his recent publications indicate a strong focus on multivariate quality control using machine learning and neural networks, particularly in industrial applications like casting and automotive manufacturing. He also investigates socio-economic impacts of crises (pandemic, earthquakes), organizational dynamics (commitment, performance, hypocrisy), and sustainability topics such as electric vehicle markets and logistics efficiency. His work bridges technical analytics with managerial and organizational insights. Kenan ORÇANLI actively collaborates with researchers including Burak Birgören, Mustafa Bekmezci, Hasan Boztoprak, and İlkay Erarslan. While no formal advising list is provided, his involvement in student-focused conferences suggests mentorship activity.

Lokman KANTARView profile

Associate Professor

• Financial Risk Management
• Econometrics
• Capital Markets
• +7 more

Lokman KANTAR is an Associate Professor in the Department of Management Information Systems at Istanbul Beykent University, Faculty of Economics and Administrative Sciences. He previously served as an Associate Professor and Doctor Lecturer at Istanbul Gelişim University in the Department of Banking and Insurance within the Faculty of Applied Sciences (formerly Applied Sciences College) from 2017 to 2023. His research interests lie at the intersection of finance, econometrics, and information systems. Key areas include financial risk management , capital markets , corporate governance , exchange rate volatility , and the application of artificial neural networks and econometric models (such as Granger Causality, Logit, and Probit) in forecasting financial crises and assessing financial performance. His work often focuses on empirical applications in Turkey and emerging markets. The recent publications (2018–2022) demonstrate a consistent focus on quantitative financial analysis. The research trends show a strong emphasis on using advanced statistical and machine learning methods to model financial vulnerability, predict market indices (like BIST100), analyze the impact of macroeconomic factors, and evaluate the role of financial instruments (like derivatives and credit default swaps) in market stability. The geographical focus is primarily Turkey, with some comparative studies involving PIIGS countries and emerging economies. He actively supervises graduate students, having managed several master's theses on topics related to exchange rates, electronic banking, corporate governance, and financial systems in countries like Somalia, Iraq, and Morocco.

Naime İrem DURANView profile

Assistant Professor

• Finance
• Capital Markets
• Econometrics
• +7 more

Naime İrem DURAN is an Assistant Professor in the Department of Capital Markets at the Faculty of Economics and Administrative Sciences, Beykent University. She has been serving in an academic capacity since 2014 and is actively contributing to research in finance, econometrics, and economic policy. Her research interests include Capital Markets , Machine Learning in Finance , Macroeconomic Policy , Climate Change and Financial Systems , Panel Data Analysis , and Poverty Modeling . These interests are reflected in her publications and conference contributions, which frequently employ advanced quantitative methods. The recent trend in her scholarly output shows a growing focus on data-driven financial modeling and sustainability-related economic issues. Her works span both theoretical econometric modeling and applied policy analysis, with a regional emphasis on Türkiye, the European Union, and E7 countries. She has contributed to international conferences such as the International Congress of Eurasian Economies and the International Symposium on Econometrics, Operations Research and Statistics. She has co-authored scientific books including Eurasian Economies (2020) and Applied Panel Data Econometrics (2018), contributing chapters on relevant economic topics. Her academic service includes participation in international conferences and scholarly publications. While no formal awards are listed, her sustained research output indicates active engagement in the academic community. She collaborates with researchers such as Sudı Apak, Halit Duran, and Özge Demirkale. Though formal advisees are not explicitly listed, her collaborative work suggests mentoring and team-based research activities. She utilizes advanced statistical techniques such as panel quantile regression and ordered choice models in her analyses. Her research is supported through academic affiliations and participation in international scholarly forums. She does not appear to lead a named lab or research center, but her work is integrated within the academic framework of her department.

Murat AkkayaView profile

Professor

• Sustainable Finance
• Behavioral Finance
• Digital Finance
• +7 more

Murat AKKAYA is a Professor at Beykent University, where he serves as Department Head of the Department of International Trade and Finance. Previously, he held academic positions at Istanbul Arel University (2020 as Associate Professor, 2017 as Doctor Lecturer) and Istanbul Gelisim University (2016 as Doctor Lecturer). His research spans interdisciplinary fields including Sustainable Finance , Behavioral Finance , Digital Finance , and Financial Risk Management . He has extensively published books and chapters on financial econometrics, capital markets, and data-driven entrepreneurship. Recent publications highlight trends in Financial applications of Big Data Computational optimization techniques like Particle Swarm Optimization Intersection of innovation and capital market dynamics Valuation methodologies in modern enterprises Global financial systems and regulatory frameworks Behavioral aspects of investor psychology He has 24+ years of administrative experience in banking (1991-2014 as Director/Branch Manager at TC Ziraat Bank) and contributes to academic publishing through co-authored works.

• Biomedical Signal Processing
• Machine Learning Applications
• Medical Imaging
• +4 more

Prof. Dr. Ziya Telatar is a faculty member at Başkent University’s Biomedical Engineering Program. With over 30 years of experience, he focuses on biomedical signal/image processing, machine learning applications in medical diagnostics, and fuzzy logic systems. Education: PhD in Electrical-Electronics Engineering (1996), Ankara University Research Trends: Recent publications (2025-2014) emphasize deep learning for spinal curvature analysis , epilepsy focus detection via multimodal imaging , automated tumor segmentation , and RF fingerprinting . His work spans both diagnostic imaging and signal processing innovations. Projects: Active in applied research, including portable biosignal monitoring systems (2021) and phonocardiography-EKG integrated systems (2024). Teaching: Offers courses in Medical Electronics , Biomedical Instrumentation , and Signals & Systems .

• Biomedical Instrumentation
• Biomedical Engineering
• Signal Processing
• +3 more

Dr. Onur Koçak is a Lecturer at Başkent University's Department of Computer Engineering. Holding a PhD in Electrical and Electronics Engineering from Ankara University (2014), he also earned a Master's (2008) and BSc (2005) in Biomedical Engineering from Başkent University. His work bridges biomedical sciences with advanced signal processing and machine learning. PhD: Electrical and Electronics Engineering, Ankara University (2014) MS: Biomedical Engineering, Başkent University (2008) BSc: Biomedical Engineering, Başkent University (2005) Koçak's research spans biomedical instrumentation, medical device design, and signal processing. His recent publications focus on deep learning applications for spinal deformity analysis, epilepsy detection via EEG, brain tumor segmentation in MRI, and antimicrobial nanoparticle synthesis. He has contributed to projects involving biosensors, wireless patient monitoring, and cardiovascular treatment systems. From 2021-2025, Koçak led or advised 16 Ar-Ge projects, including topics like Photocatalytic air purification systems EECP therapy monitoring Smart scoliosis detection Peripheral artery disease diagnostics His collaborations extend to companies such as Biyotek, İBÜTEM, and Marla Teknoloji, focusing on biomedical-electronic-HVAC integration.

• Artificial Intelligence
• Control Systems
• Mechanical Engineering
• +4 more

Dr. Andaç Töre Şamiloğlu is a Lecturer in the Artificial Intelligence Engineering Program at Baskent University. Holding a PhD in Mechanical Engineering (2012) and dual Master's degrees in Economics (2007) and Mechanical Engineering (2005) from Middle East Technical University, he specializes in applying AI to complex engineering systems. PhD: Mechanical Engineering, Middle East Technical University (2012) Master's: Economics (2007) and Mechanical Engineering (2005), Middle East Technical University BSc: Mechanical Engineering, Middle East Technical University (2003) His research focuses on Deep Learning Applications in Control Systems , Structural Health Monitoring , and Defense Systems . Recent work includes modeling parachute cargo systems using AI and optimizing friction welding processes. With a career spanning over 15 years, he has contributed to 15 projects, holds an H-index of 38, and teaches courses like System Dynamics and Control , Mechatronics Fundamentals , and Autonomous Systems in Defense Industry . His practical experience includes co-founding ANSAMECH Engineering Machinery Consulting Software Industry and Trade Co. Ltd. Current research trends emphasize AI-driven engineering solutions, particularly in Aerospace Systems , Automotive Design , and Human-Robot Interaction . Publications highlight his interdisciplinary work across Mechatronics , Robotics , and Industrial Engineering . He supervises R&D projects in the university's Fablab and contributes to educational innovation through hands-on engineering training programs.