جست‌وجوی استاد و پژوهشگر

Hazım Kemal Ekenelمشاهده پروفایل

استاد

• Biometrics
• Artificial Intelligence
• Image Processing
• +۴ مورد دیگر

Prof. Hazım Kemal Ekenel is a faculty member at Istanbul Technical University , where he serves as a Professor in the Department of Computer Engineering since 2020. Previously, he held academic roles including Associate Professor (2014), Assistant Professor (2012-2014), and Lecturer (2011-2012) at the same institution, while also serving as a Research Assistant at Karlsruhe Institute of Technology (2004-2009). PhD in Computer Science, Karlsruhe Institute of Technology (2004) MSc in Electrical-Electronics Engineering, Boğaziçi University (2001) BSc in Electrical and Electronics Engineering, Boğaziçi University (1997-2001) His research focuses on Biometrics, Artificial Intelligence, Image Processing, and Computer Vision , with significant contributions to facial expression recognition, deep learning for face recognition, and medical imaging applications. Current projects include deepfake detection , AI-mediated virtual meetings , and super-resolution for consumer goods . Recent publications demonstrate expertise in audio-driven face generation , domain adaptation , and real-world image enhancement . He leads projects like "Deepfake Detection" (PI, 2025) and "Intraocular Pressure Measurement" (PI, 2023). Awards: Science Academy Young Scientists Award Program (BAGEP), 2018 Parlar Foundation Research Encouragement Award, 2018 Young Scientist Award, Science Heroes Association, 2017 He has secured grants for research on lighting effects in face recognition and AI applications in minimally invasive surgery. His work spans collaborations with international institutions and supervision of multidisciplinary projects.

• GPU Computing
• Parallel Processing
• Computer Architecture
• +۵ مورد دیگر

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
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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

Tacettin Ayarمشاهده پروفایل

مدرس

• Computer Networks
• TCP Optimization
• Load Balancing
• +۴ مورد دیگر

Tacettin Ayar is a Lecturer at Istanbul Technical University's Department of Artificial Intelligence and Data Engineering. He holds a Master's degree in Computer Engineering from the same institution (1999-2003). His research specializes in computer networks with emphases on TCP performance optimization, transparent proxy architectures, and network load balancing solutions. His technical investigations focus on: Designing robust TCP proxies resistant to packet reordering Mitigating vulnerabilities in multipath TCP implementations Per-packet load balancing in core network infrastructures Network emulation and performance evaluation methodologies His publication history demonstrates consistent focus on network protocol optimization, with recent work (2018-2019) exploring proxy-based solutions for TCP enhancements in core networks. Earlier research (2003-2004) included distributed systems and simulation interfaces.

Tuğba Pamay Arslanمشاهده پروفایل

مدرس

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

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

Tolga Çukurمشاهده پروفایل

استاد

• Biomedical imaging
• Medical image analysis
• Computational neuroscience
• +۶ مورد دیگر

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.

• Semantic Web
• Text Analysis
• Machine Learning
• +۳ مورد دیگر

Buket Ersahin is a Lecturer in the Department of Computer Engineering at Izmir Institute of Technology . She holds a Ph.D. in Computer Engineering from Dokuz Eylul University (2021), following her M.Sc. (2009) and B.Sc. (2007) from Ege University and Dokuz Eylul University respectively. Ph.D. in Computer Engineering (2021) M.Sc. in Computer Engineering (2009) B.Sc. in Computer Engineering (2007) Research Interests : Semantic Web, Text Analysis, Machine Learning, and Software Engineering. Her work focuses on: Information retrieval techniques for bug localization Adaptive attribute weighting in software development Social media analysis for fake account detection She teaches courses including: CENG 316 - Software Engineering CENG 113 - Introduction to Programming CENG 464 - Text Mining CENG 590 - Seminar Her recent publications demonstrate expertise in applying machine learning to software engineering challenges and social media security.

Damla Oğuzمشاهده پروفایل

استادیار

• Data Mining
• Database Systems
• Query Optimization
• +۶ مورد دیگر

Damla Oğuz is an Assistant Professor and Deputy Head of Department in the Department of Computer Engineering at Izmir Institute of Technology. She has held this position since December 2019, following her appointment as an Assistant Professor in the Department of Software Engineering at Yaşar University from 2017 to 2019. Her educational background includes: B.Sc. in Software Engineering (2008) and Industrial Systems Engineering (2009) from Izmir University of Economics M.Sc. in Computer Engineering (2012) from Izmir Institute of Technology Ph.D. in Computer Science (2017) from Paul Sabatier University, France (completed as part of a cotutelle program with Ege University) Damla Oğuz's research focuses on data mining and query optimization in distributed databases . Her work spans multiple areas including high-utility itemset mining, federated query processing, knowledge base evaluation, and the application of large language models in education. She has made significant contributions to understanding how to efficiently process queries across distributed data sources, particularly in the context of semantic web technologies and linked data. Her research often addresses the challenges of scalability, privacy, and performance in large-scale data management systems. Her recent publications demonstrate a clear trend toward addressing contemporary challenges in data management and analysis. Starting with foundational work in itemset mining algorithms, her research has evolved to tackle more complex problems in federated query processing, knowledge base evaluation, and the integration of large language models into educational contexts. The breadth of her work spans theoretical algorithm development, practical system implementation, and educational applications. Her teaching portfolio includes: CENG 212 - Concept of Programming Languages SEDS 502 - Modern Database Management Systems SEDS 535 - Information Extraction CENG 544/SEDS 542 - Large Scale Data Management CENG 465 - Principles of Data-Intensive Systems Her professional activities include: Deputy Head of Department at Izmir Institute of Technology Active research in data management and mining Teaching undergraduate and graduate courses in computer engineering

• Science, Technology and Society
• Cognitive Science
• Public Education
• +۳ مورد دیگر

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.

• Psychology
• Educational Psychology
• Counseling
• +۴ مورد دیگر

Assoc. Prof. Elif Çimşir is a faculty member at the Faculty of Education, Department of Educational Sciences, Anadolu University. She earned her Ph.D. in Psychological Counseling and Guidance from The Pennsylvania State University (2016) and previously completed a postgraduate degree in Rehabilitation Counseling at the same institution (2012). Education: Ph.D.: Psychological Counseling and Guidance, Penn State (2016) Postgraduate: Rehabilitation Counseling, Penn State (2012) Undergraduate: Educational Sciences, Hacettepe University (2008) Her research focuses on psychological counseling , inferiority feelings , social networking sites , eco-anxiety , and cross-cultural adaptation . Recent work explores ghosting in relationships , digital behavior in adolescents , and acculturative stress in international students . Her funded projects include meta-analytic studies on acculturative stress , problematic internet use during COVID-19 , and psychological preparedness for inclusive education . She contributes to school counseling and disability studies , with Erasmus+ projects on digital education for preschool teachers. She serves as the Head of Department for Educational Sciences at Anadolu University and has led numerous national and international research initiatives.

Kenan ORÇANLIمشاهده پروفایل

دانشیار

• Management Information Systems
• Operations Research
• Industrial Engineering
• +۹ مورد دیگر

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.

• Biomedical Signal Processing
• Machine Learning Applications
• Medical Imaging
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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.

• Industrial Engineering
• Operations Research
• Simulation Optimization
• +۵ مورد دیگر

Prof. Dr. Berna Dengiz is a faculty member at Baskent University's Department of Industrial Engineering, with over 30 years of academic experience. She has published 136 articles and supervised numerous research projects, focusing on simulation optimization, network design, and deep learning applications in engineering. Academic Motivation: 2009 (Dental Faculty Students) Network Design: 2017 (ECCO XXI Conference) Reliability Analysis: 2003 (ANNIE Conference) Her research bridges industrial engineering with healthcare applications, particularly through deep learning implementations in medical imaging and reliability estimation. She has served as a journal editor and conference organizer.