Find Academic Supervisors

• Computer Aided Design and Manufacturing
• Finite Element Analysis
• Machine Theory and Dynamics
• +3 more

Prof. Dr. İbrahim ÇAYIROĞLU currently holds a full-time Professor position at Karabük University's Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He has served as Department Chair since 2024 and previously held administrative roles including Dean Assistant and Department Chair between 2003-2021. Education: PhD in Mechanical Engineering (2002), Kırıkkale University MSc in Mechanical Engineering (1996), Kırıkkale University BSc in Mechanical Engineering (1991), Istanbul Technical University Research Focus: Specializes in Computer-Aided Design/Manufacturing, Finite Element Analysis, and Machine Dynamics. His work spans robotics, 3D printing optimization, welding technology, and mechanical system simulation. Recent Trends: 2024 publications highlight autonomous robotics, AI-integrated quality control in manufacturing, and advanced finite element analysis. Earlier works focused on SIFT-based object tracking, 3D printing reinforcement, and welding process evaluation. Advising Record: Supervised 11 graduate theses across diverse topics including autonomous robots, composite materials, and 3D printer design. Technical Projects: Led 12 projects between 2007-2023, including TÜBİTAK-funded excavator simulators, composite 3D printers, and automated glass mosaic tiling systems.

• Architectural Computing
• Building Information Modeling
• Virtual Reality
• +5 more

Togan Tong serves as Associate Professor in the Department of Building Information at Yıldız Technical University's Faculty of Architecture, where he has maintained continuous academic service since 1992. His expertise spans computational design methodologies and immersive technology applications within architectural practice and education. His educational foundation includes: Bachelor of Architecture from Yıldız University (1988) Master of Architecture in Building Science from Yıldız Technical University (1990) Ph.D. in Building Information from Istanbul Technical University (2000) Research initiatives focus on Architectural Computing , Building Information Modeling , and Immersive Technologies , with particular emphasis on human-computer interaction in design environments. Current projects explore VR/AR interfaces for architectural modeling, computational space planning algorithms, and game-based historical reconstruction systems. Publication analysis reveals a pronounced shift toward immersive educational applications since 2020, with significant contributions in VR ergonomics, spatial cognition studies, and BIM integration methodologies. His work bridges technical computing and architectural pedagogy through systematic reviews and empirical interface studies. Academic mentorship includes supervision of 9 theses across architectural computing disciplines. Professional activities extend to Digital Design Education Consultancy for the Istanbul Metropolitan Branch of the Chamber of Architects, influencing curriculum development at institutional levels. Operational activities center around the YTU Bot Group research collective, utilizing the university's digital design infrastructure for advanced visualization projects and computational prototyping in architectural contexts.

• Computer System Structure and Hardware
• Programming Languages
• Information Systems

Mustafa AKSİN is a full-time Lecturer at Karabük University's Safranbolu Şefik Yıılmaz Dizdar Vocational School, Department of Technical Programs. He holds a PhD in Computer Engineering from Karabük University (2017-2019), a Master's in Electronics and Computer Education from Süleyman Demirel University (2010-2014), and a Bachelor's in Electronics and Computer Education from Selçuk University (2002-2008). His research focuses on three core areas: Computer System Structure and Hardware Programming Languages Information Systems with applications spanning computational geometry, educational technology, and cultural heritage preservation. His publications demonstrate interdisciplinary work combining computer science with education and heritage conservation, including semantic 3D modeling of historical buildings and analysis of social networks in educational settings. Administratively, he served as Assistant Director of the vocational school (2022-2023) and contributed as a researcher to a major logistics project supported by the UN, World Bank, UNESCO, EU, and Council of Europe.

Aysegul DundarView profile

Assistant Professor

• Deep Learning
• Computer Vision
• Generative Models
• +3 more

Aysegul Dundar is an Assistant Professor of Computer Science at Bilkent University, Ankara, Turkey. She previously served as a senior research scientist at NVIDIA in Santa Clara, USA. Her research focuses on deep learning algorithms for computer vision, particularly generative models, 3D reconstruction, and image editing. She leads the Generative Deep Learning Research Lab at Bilkent. Education: Ph.D. in Electrical and Computer Engineering, Purdue University (2016), supervised by Eugenio Culurciello. B.Sc. in Electrical and Electronics Engineering, Bogazici University, Turkey (2011). Research Interests: Her work emphasizes generative deep learning, with applications in 3D head stylization, image editing via diffusion models, and neural network architectures for vision systems. She explores disentangled latent spaces, GAN inversion, and robust instance segmentation. Awards & Funding: 2024: Young Scientist Award (BAGEP), EuroHPC AI Award. 2021: TÜBİTAK 3501 Grant. 2020: Marie Skłodowska-Curie Fellowship. 2018: 1st Place in CVPR Domain Adaptation Challenge. Teaching & Labs: Teaches CS 490 (Research in Computer Engineering/Science). Leads projects on image synthesis, with a focus on selective student recruitment for lab contributions. Prioritizes undergraduates actively engaged in lab activities.

Hamdi DIBEKLIOGLUView profile

Assistant Professor

• Affective Computing
• Intelligent Human-Computer Interaction
• Pattern Recognition
• +3 more

Hamdi DIBEKLIOGLU is an Assistant Professor in the Computer Engineering Department at Bilkent University. His research focuses on Affective Computing, Human-Computer Interaction, Pattern Recognition, and Computer Vision. He holds editorial roles including Associate Editor for IEEE Transactions on Affective Computing and Program Chair for ACM International Conference on Multimodal Interaction 2024. DIBEKLIOGLU has received prestigious awards such as the Turkish Academy of Sciences Outstanding Young Scientists Award (TÜBA-GEBİP) and Science Academy's Young Scientist Award (BAGEP). He advises senior design projects like Interalyze and Envisio, which have won multiple awards at Bilkent CSFair. His work spans domain generalization, deceit detection, and mental health applications. He organizes annual Bilkent Summer Schools on Artificial Intelligence and gives keynote talks at international conferences. Affiliations: Bilkent University (since 20xx), previously Postdoctoral Researcher at TU Delft and Visiting Researcher at CMU/UPitt/MIT. Grants: TUBITAK 1001-funded project on multimodal deceit detection (2022), multiple conference organization roles. Datasets: Creator of UvA-NEMO Smile DB and Bosphorus 3D Face DB. Publications: Over 50 peer-reviewed articles in journals like IEEE Transactions and conferences like ICCV.

• Computer Graphics
• Image Processing
• Deep Learning
• +8 more

Prof. Dr. Uluğ Bayazıt is a Professor at Istanbul Technical University's Department of Computer Engineering. His research focuses on computer graphics, image processing, deep learning, and biomedical signal analysis. Doctorate: Rensselaer Polytechnic Institute (1993) BSc: Boğaziçi University Electrical and Electronic Engineering (1991) Research interests include: Smart city solutions using computer vision 3D mesh compression algorithms Electromyography signal analysis for prosthetics Deep learning applications in agricultural monitoring Recent publications span neural computing, multimedia tools, and graphical models. Key projects include: "Eye of the City" smart city initiative Plant phenology classification via image sequences Geometry video compression techniques As Principal Investigator (PI), he leads research grants funded by BAP and TTO. He has 46 research outputs and an h-index of 126 (Scopus). Active in IEEE from 1991-2014, with expertise in signal processing and mesh geometry.

• 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.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +9 more

Prof. Dr. Hayri Sever is a full-time faculty member at Çankaya University, Department of Computer Engineering, since 2018. He previously held professorship roles at Hacettepe University (1997-2018), University of Massachusetts Amherst (2000-2002), and Başkent University (2003-2007). His academic journey includes a PhD in Computer Science from the University of Louisiana at Lafayette (1995), a Master's from the University of Maine (1991), and a BSc in Computer Engineering from Hacettepe University (1987). Education: PhD (1995), Computer Science, University of Louisiana at Lafayette MS (1991), Computer Science, University of Maine BSc (1987), Computer Engineering, Hacettepe University Prof. Sever's research spans Artificial Intelligence, Data Mining, Natural Language Processing, Cybersecurity, and Machine Learning . His recent work focuses on applications in violence detection in videos, sentiment analysis, blockchain security, medical decision support systems, and Turkish language processing. He has supervised over 40 graduate students in topics ranging from deep learning to blockchain and IoT security. His 15 most recent publications (2019-2024) highlight expertise in deep learning for video analysis , blockchain reputation systems , 3D CNN applications , and sentiment analysis in Turkish/Arabic . Collaborations include institutions like Hacettepe University, University of Massachusetts, and international projects funded by TÜBİTAK, UNESCO, and the UN. He has led projects such as "KGYS: Smart Support Software Development" and "DiCoMa: Disaster Control Management" , with roles as researcher, coordinator, and advisor. Professional memberships include IEEE (2005-), ACM (2002-), and Tübitak (2005-).

Sinan KALKANView profile

Professor

• Computer Vision
• Machine Learning
• Imbalance Problems
• +2 more

Sinan KALKAN is a full professor at the Department of Computer Engineering , Middle East Technical University (METU) , Ankara, Turkey. He actively contributes to interdisciplinary research at the intersection of Computer Vision, Machine Learning , and Robotics , with a focus on imbalanced learning, bias/fairness, and detection/segmentation tasks. As a member of multiple research centers ( METU Robotics and AI Center , METU Image Processing Lab , COVIG Lab (Denmark) , and BCCN Center (Germany) ), he drives collaborative innovation across Turkey, Denmark, and Germany. Research Interests include: Computer Vision (Object Detection, Segmentation, Recognition) Machine/Deep Learning (Imbalance Problems, Bias and Fairness) Robotics (Human-Robot Interaction, Context Modeling) Recent Article Trends show expertise in: Unified loss functions for detection/classification Uncertainty-aware neural architectures Fairness in affective computing Imbalance mitigation strategies Energy modeling under climate change Transformer-based time-series forecasting Scientific Awards : Best Paper Award, IEEE Transactions on Cognitive and Developmental Systems (2016) Labs and Teams : METU Robotics and AI Center METU Image Analysis Center METU Image Processing Laboratory METU Balance METU Energy Cambridge University AFAR

Yusuf SahillioğluView profile

Professor

• Computer Graphics
• 3D Shape Processing
• Geometric Algorithms
• +3 more

Professor Yusuf Sahillioğlu is a faculty member in the Computer Engineering Department at Middle East Technical University (METU), Faculty of Engineering, specializing in computer graphics and geometric processing. His academic journey includes a BS from Bilkent University, MS from University of Florida, and PhD from Koç University, followed by postdoctoral work at Koç University and University of Pennsylvania. His research focuses on 3D shape correspondence , deformation algorithms , deep learning for 3D data , and geometry processing . Key contributions include novel methods for isometric shape matching, topologically-stable correspondence, and real-time secondary animation. His recent work integrates deep learning with traditional geometric approaches for mesh segmentation, point cloud classification, and 3D scene extrapolation. His 15 most recent publications (2021-2025) reveal a strong trend toward real-time geometric algorithms (e.g., spring-decomposed skinning), kernel computation for mesh processing, and deep generative models for 2D-to-3D conversion. The research consistently bridges theoretical geometry with practical applications in animation, reconstruction, and medical imaging. Award highlights include: METU Academic Performance Award (2018) METU Young Scientist Awards (2015-2017) TÜBİTAK 1001 Grants (2016, 2020, 2024) for 3D content analysis, shape matching, and reconstruction TÜBİTAK 3501 Career Grant (2015) for virtual medicine applications He teaches core courses including Data Structures, Operating Systems, Computer Graphics, and Advanced Digital Geometry Processing. His lab focuses on geometric algorithms with applications in medical imaging, animation, and 3D printing, maintaining strong industry and international collaborations through projects like TÜBİTAK-funded initiatives.

• Spatial Information Systems
• Image Processing
• 3D Vision
• +3 more

Prof. Dr. Hadi Hakan MARAŞ serves as Rector of Cankaya University and holds a Professorship in the Department of Computer Programming. He previously served as Vice Dean of the Faculty of Engineering (2016-2021) and Acting Secretary General (2021-2023). His academic journey includes degrees from Turkish Military Academy (B.A., 1985), Selcuk University (MSc Computer Engineering, 2005), and Istanbul Technical University (PhD Geomatics Engineering, 1999). Educations: PhD in Geomatics Engineering, Istanbul Technical University (1999) MSc in Computer Engineering, Selcuk University (2005) B.A. in Geomatics Engineering, Turkish Military Academy (1985) Research Interests: Specializes in Spatial Information Systems, Image Processing, 3D Vision, and Remote Sensing. Recent work includes applying CNNs for rheumatoid arthritis detection in radiographs. Integrates geomatics with computer science for innovative solutions in medical imaging and geographic data analysis. Grants & Awards: HORIZON 2020 TUBITAK “over threshold” Prize Teaching: Teaches undergraduate courses in Computer Graphics, Algorithms & Programming, and GIS, along with graduate modules in GIS and Remote Sensing. Maintains a balance between theoretical instruction and practical applications in engineering and medical domains.

• GeoInformatics
• Geographic Information Systems (GIS)
• 3D Geographic Information Systems (3D-GIS)
• +12 more

Ismail Rakip Karas is a Professor of Computer Engineering and Head of the 3D GeoInformatics Research Group at Karabuk University, Turkey. He holds a BSc from Selcuk University (1997), MSc from Gebze Institute of Technology (2001), and PhD from Yildiz Technical University (2007). His career includes roles as Visiting Researcher at Universiti Teknologi Malaysia (2010–2014) and Research Assistant at Gebze Institute of Technology (2000–2009). Currently, he serves as Deputy Rector of Karabuk University and has held administrative positions including Dean of Safranbolu Fine Art and Design Faculty, Director of Safranbolu Vocational School, and acting Dean of the Faculty of Architecture. Research interests span GeoInformatics, 3D GIS, network analysis, spatial data structures, and intelligent transportation systems. He has led over 20 national/international projects, including EU-funded initiatives and collaborations with institutions like Nara Institute of Science and Technology and University of Szeged. His work emphasizes smart city applications, indoor navigation, and emergency evacuation models. Publications include over 100 peer-reviewed articles and book chapters, focusing on GIS applications, machine learning in geospatial analysis, and 3D modeling. He has organized conferences like Geo-Advances 2017 and serves on editorial boards of journals such as the International Journal of Geo-Spatial Knowledge and Intelligence.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +5 more

Övgü Öztürk Ergün is an Assistant Professor in the Department of Software Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. She holds a Ph.D. from The University of Tokyo's Department of Frontier Informatics. Her research focuses on computer vision, machine learning, and AI applications in areas such as augmented reality, cultural heritage digitization, and human behavior analysis. She has led multiple TÜBİTAK-funded projects including 'Customer Tracking and Interest Measurement Technologies for Retail Sector Sales Performance Improvement' and '3D Modeling of Cultural Heritage Sites.' Her work spans academic publications, industry collaborations, and innovative teaching in software engineering and interactive multimedia systems. Education: Middle East Technical University, B.Sc. Electrical & Computer Engineering (2003) University of Tokyo, Ph.D. Frontier Informatics (2010) Research Interests: Her interdisciplinary research integrates computer vision with real-world applications, including privacy-preserving biometrics, smart environment monitoring, and cultural heritage preservation. She has pioneered ontology-based systems for Turkish cuisine and developed AR tools for virtual try-on. Her work emphasizes ethical AI and context-aware systems, with recent focus on food recognition using CLIP models and churn prediction in telecom sectors. Awards & Grants: TÜBİTAK Undergraduate Software Projects Competition (2013) Robot Days 3rd Place (2013) Completed TÜBİTAK 1001/1505 projects totaling over 500k USD funding Advising & Labs: Supervised BENGÜ-ÖZTÜRK's thesis on food image recognition. Active in the University's Research & Application Centers for Computer Vision and AR/VR development. Collaborates with ISTKA and Ministry of Development on cultural heritage digitization projects.

Fatma GüneyView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Vision and Graphics
• +5 more

Fatma Güney serves as an Assistant Professor in the Department of Computer Engineering at Koc University, Istanbul, Turkey, specializing in artificial intelligence and computer vision systems. Her academic credentials include: Postdoctoral Research at University of Oxford (2019) PhD from Max Planck Institute (2017) MSc from Boğaziçi University (2012) BS from Bilkent University (2010) Dr. Güney's research focuses on 3D visual reconstruction and dynamic scene analysis , with seminal contributions to multi-view geometry and temporal modeling . Her work bridges machine learning and computer vision through advanced techniques in motion estimation and depth perception , enabling breakthroughs in action recognition systems. Current investigations explore the integration of neural architectures with geometric priors for robust visual understanding under real-world constraints. Her technical leadership spans vision-based AI applications requiring precise spatial-temporal reasoning, with methodologies adopted in robotics and augmented reality domains.

• Computer Vision
• Deep Learning
• 3D Point Cloud Processing
• +7 more

Yusuf Hüseyin Şahin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He earned all his academic degrees—B.Sc., M.Sc., and Ph.D.—from the same institution in Computer Engineering. His research lies at the intersection of computer vision, deep learning, and 3D data processing, with applications in medical imaging, architectural heritage, and drone-based vision systems. B.Sc., M.Sc., Ph.D. in Computer Engineering, Istanbul Technical University His primary research interests include 3D point cloud processing, deep learning, image segmentation, adversarial attacks, and medical image analysis. He has published extensively on these topics, particularly focusing on point cloud registration, segmentation, and classification using neural networks. His recent work explores uncertainty modeling, active learning, and generative models for both synthetic data creation and real-world applications. The trend in his publications from 2017 to 2024 shows a clear progression from foundational work in CNN-based 3D classification and cerebral vessel analysis to advanced topics such as dynamic graph networks, conformal prediction, and heritage digitization. His work bridges theoretical machine learning with practical applications in healthcare and cultural preservation. He is currently leading a research project titled "Konformal Tahmin ile Sıcaklık Tahmin Modellerinde Doğruluğun Arttırılması" (Improving Temperature Prediction Accuracy Using Conformal Forecasting), funded under the SRP program from 2025 to 2026. This indicates an expanding interest in predictive modeling and uncertainty quantification. While no scientific awards are listed in the provided texts, his h-index of 5 and 293 citations on Scopus reflect an active and growing research profile. Dr. Şahin teaches undergraduate courses such as Data Structures (BLG 223E) and Object-Oriented Programming (BLG 252E). He has no listed advisees or thesis supervision records. He is part of a collaborative research network involving Gozde Unal and other researchers in medical and architectural computer vision. His lab activities appear to focus on deep learning for 3D data, with emphasis on robustness, efficiency, and real-world deployment.