Metin Sitti is a Professor and currently serves as a part-time adjunct professor at Koç University's Faculty of Medicine and Engineering. He is also the President of Koç University and Director of the Max Planck Institute for Intelligent Systems since 2014. His research spans robotics , micro/nanorobotics , physical intelligence , bio-inspired robotics , and materials science . Undergraduate: Boğaziçi University (Electrical and Electronics Engineering, 1992) Master's: Boğaziçi University (1994) PhD: University of Tokyo (Electrical Engineering, 1999) His research focuses on small-scale robotics for biomedical applications, including magnetic microrobot swarms , biohybrid systems , and functional materials . Recent publications emphasize 3D control , wireless actuation , and clinical translation of robotic systems. Scientific Awards : 2020 Scientific Breakthrough of the Year 2018 Koç University Rahmi M. Koç Science Medal 2014 IEEE/ASME Best Mechatronics Paper Award 2013/2012 World RoboCup Micro-Robotics First Prize He has advised numerous students and collaborates with institutions like Carnegie Mellon University and University of Stuttgart. His work integrates physical intelligence into miniature robots for medical imaging , drug delivery , and autonomous systems .
Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.
Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.
Ceyhun Burak Akgül is a Part-Time Lecturer specializing in Computer Vision, Machine Learning, and Statistical Data Analysis. His research focuses on interdisciplinary applications of visual data processing, including medical imaging and 3D object recognition. He maintains a personal website at cba-research.com and can be contacted at cb.akgul@gmail.com . His work spans topics such as image captioning, visual dictionaries, and symbolic feature detection. Key contributions include developing algorithms for action recognition using depth cameras and frameworks for leaf and object recognition. His research also integrates medical applications, such as analyzing Alzheimer’s patient movements and automated diagnosis using imaging data. Akgül’s publications frequently address challenges in 3D shape descriptors, feature selection, and interdisciplinary methodologies. His recent work includes exploring visual dictionaries and improving image processing techniques through model-driven approaches. His academic contributions are evident in journals like the Journal of Visual Communication and Image Representation, and he has participated in competitions like SHREC. Despite his extensive publication record, no formal awards or grants are explicitly mentioned in the provided data.
Dr. Makbule Sema ÜŞENMEZ is a Lecturer at the Faculty of Art, Design and Architecture at Sakarya University, specifically within the Stage Decoration and Costume Department. She teaches courses such as Fashion Drawing (Moda Resmi) and Fashion Design (Moda Tasarımı) at the undergraduate level. Her academic contributions span over two decades, with extensive involvement in national and international art exhibitions, congresses, and educational workshops. She has authored books on topics like Costume History and Fashion Styles, and her research focuses on textile design, historical fashion trends, and artistic expression in clothing. Education: No specific academic degrees listed in the provided texts. Research Interests: Fashion design fundamentals, textile innovation, historical costume analysis, avant-garde trends, and stage decoration integration. Her work bridges traditional techniques with modern artistic expression, emphasizing sustainability and cultural storytelling. Her publications highlight themes like 'Style Lines Transforming into Fashion Trends' (2019) and 'Avant-Garde Trends in Fashion Design' (2010), showcasing her expertise in both practical design and theoretical research. Dr. ÜŞENMEZ has participated in over 20 exhibitions and 15 academic events, including the 'International Eurasian Congress Exhibition' (2018) and 'Art in Converge' (2019). She has also organized workshops on textile materials and contemporary fashion movements. Grants and Advising: No specific grants or thesis advising details provided. However, her involvement in curriculum development for courses like 'Clothing History' and 'Textile Materials' indicates a focus on educational contributions. Labs/Teams: Not explicitly mentioned, but her teaching and exhibition activities suggest collaboration within the university's art and design community.
Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.
Doç. Dr. Gökhan Serhat Duran is an Associate Professor and currently serves as the head of the Department of Orthodontics at Çanakkale Onsekiz Mart University Faculty of Dentistry. He earned his dental degree from İstanbul University (2005) and completed his orthodontic specialization at Gülhane Military Medicine Academy (2015). His academic career includes military service (2007–2011) and attaining his associate professorship in 2020. Research Focus: Digital orthodontics, 3D printing in dental applications, AI-driven cephalometric analysis, and material science for orthodontic appliances. Education: BSc from İstanbul University, specialization at Gülhane Askeri Tıp Akademisi. Achievements: Over 100 peer-reviewed publications, editor/reviewer roles in dental journals, and leadership in orthodontic technology integration. His research emphasizes digital transformation in orthodontics, with studies on AI algorithms for automated mandibular segmentation, 3D-printed bracket bond strength, and ChatGPT's role in patient information accuracy. He evaluates novel technologies like 4D printing for shape-memory devices and assesses clinical outcomes of maxillary expansion techniques using stereophotogrammetry. He has advised 10 theses and managed 1185 projects. His work bridges clinical practice with emerging technologies, addressing challenges in material durability, AI ethics, and patient education quality.
Murat Üçüncü is an Associate Professor in the Department of Electrical and Electronics Engineering at Başkent University . He holds a PhD (1989), MSc (1985), and BSc (1983) from Boğaziçi University, and an additional BSc from Kara Harp Okulu (1980). His academic career spans over 35 years, with a focus on RF systems, control theory, and defense technologies. PhD, Boğaziçi University (1989) MSc, Boğaziçi University (1985) BSc, Boğaziçi University (1983) BSc, Kara Harp Okulu (1980) His research interests include RF power amplifier design, MEMS-IMU systems, underwater communication, and graph signal processing for automotive RADAR. Recent work emphasizes adaptive Kalman filtering, avionics network simulations, and autonomous systems for UAVs. Key article trends show expertise in RF circuit optimization , Kalman filter adaptation , and graph-based classification algorithms . No scientific awards are mentioned in the provided data. Advised 21+ students in areas spanning control systems, avionics, and defense technologies Led projects on shaped charges, underwater communication systems, and avionics networks
Prof. Dr. Funda Akleman Yapar is a faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University , holding the Professor rank. She currently serves as Vice Dean (2023–2026) and previously held administrative roles including Deputy Head of Department (2020–2023). Her academic career spans 25 years at the same institution, starting as a Research Assistant in 1997. PhD in Electronics and Communication Engineering (1998–2002), Istanbul Technical University Her research focuses on electromagnetic engineering , microwave technologies , and antenna systems , with recent work on: 6G high-altitude platform antenna design Microwave metamaterials for solar cells Waveguide filter synthesis via inverse problems Radio propagation analysis in solar-affected stratospheric channels She has 50+ research outputs, including journal articles and conference papers, and leads projects like Three-Dimensional Radio Wave Propagation Analysis on Perfect Conductor Rough and Smooth Terrain (2014–2020). Her methodological expertise includes finite-difference time-domain (FDTD), parabolic equation (PE) modeling, and generalized scattering matrix techniques.
Gökhan Kılıç is a Professor in the Department of Civil Engineering at İzmir University of Economics. His career spans academic and industrial roles, including research positions at Yıldız Technical University and industry experience with Black and Veatch in London. BSc in Civil Engineering, Yıldız Technical University BSc in Computer Education and Instructional Technologies, Yıldız Technical University MSc in Geotechnology, Yıldız Technical University MSc in Structure and Mechanics, University of Portsmouth PhD in Civil Engineering, University of Greenwich His research focuses on non-destructive testing (NDT), ground-penetrating radar (GPR), and structural health monitoring for bridges and historic buildings. Recent work includes seismic behavior of RC frames, moisture detection in infrastructure, and wavelet analysis for bridge diagnostics. His publications demonstrate expertise in NDT integration, machine learning for structural diagnostics, and disaster resilience strategies. Collaborations include researchers like Amir M. Alani and Mehmet S. Ünlütürk.
Hakan Tong is a Researcher at the Department of Architecture, Faculty of Architecture, Istanbul Technical University. His work focuses on architectural design methodologies, digital design tools, and information technologies in architectural practice. Education: PhD in Building Science from Istanbul Technical University (1997–2001), MSc in Building Science (1986–1988), and BSc in Architecture (1982–1986). Research interests include AI applications in design education, generative computational models for housing design, and virtual reality tools for spatial perception. Recent publications explore AI-driven sketching techniques for freshmen and cellular automata-based mass housing solutions. Key projects include developing digital tools for customized housing and investigating topology perception in spiral virtual environments. He has contributed to architectural textbooks like 'İzdüşümler' and participated in international conferences on computer-aided architectural design.
Asst. Prof. Dr. FESİH KESKİN is affiliated with the Faculty of Engineering at Iğdır University , where he holds a position in the Department of Electrical and Electronics Engineering . His research focuses on signal processing, antenna array design, and robotic systems integration with telecommunications. He earned his PhD from Eskişehir Technical University (2014-2021), MSc from Anadolu University (2011-2014), and BSc from Fırat University (2005-2009). Key research areas include direction of arrival (DOA) estimation , 3D antenna array configurations , and machine learning applications in agriculture and energy systems. His work on volumetric array designs addresses challenges in azimuth/elevation angle estimation under array imperfections. Recent studies also explore Industry 4.0 automation and solar energy storage solutions. Notable contributions include: Development of UAV swarm-based 3D antenna arrays for isotropic DOA estimation XGBoost-driven frameworks for driving cycle generation Integration of deep learning architectures for fruit detection systems No awards or patents are listed in his profile. He maintains active collaboration networks in telecommunications and robotics domains.
Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.
Muhammed Kotan is an Assistant Professor at the Department of Information Systems Engineering , Sakarya University , where he has served since 2022. His academic career includes roles as a Research Assistant (2011–2022) at Sakarya University and Afyon Kocatepe University. He holds a PhD in Computer and Information Engineering (2020), an MSc in Computer and Information Engineering (2014), and a BSc in Computer Engineering (2011) from Sakarya University. Research Interests : Artificial Intelligence, Computer Software, Image Processing, Machine Learning, Computer Vision, Medical Imaging, Energy Efficiency Optimization, Natural Language Processing, Sentiment Analysis, Feature Selection, 3D Reconstruction, Industrial Machine Detection, Optimization Algorithms, Real-Time Systems, User Reviews Analysis, E-Commerce Analytics. Key Contributions : Developed hybrid methods for 3D reconstruction and industrial machine defect detection, optimized tow train routing in manufacturing, and applied Marine Predators Algorithm for mental health screening. Scientific Recognition : Awarded the Eğitim Öğretimde Üstün Başarı Ödülü by Sakarya University (2024). Served as editor for the Sakarya University Journal of Computer and Information Sciences (2023–2024) and peer reviewer for journals like Signal, Image and Video Processing and Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi . Advising : Co-advisor for TÜBİTAK projects (2022–2024) and supervised student research on topics like cosmetic product recognition, natural language processing, and sentiment analysis. Designed courses in Digital Image Processing, Text Mining, and Advanced Information Systems.
Dr. Özge Akbulut is an Associate Professor at Sabancı University's Faculty of Engineering and Natural Sciences in Istanbul. She received her B.S. in Materials Science and Engineering from Sabancı University in 2004, followed by a Ph.D. from Massachusetts Institute of Technology (MIT) in 2009, where she focused on cost-effective fabrication of biomolecular devices and surface science. She continued her research as a post-doctoral fellow in the Whitesides Group at Harvard University from 2009 to 2011, developing tools and techniques for resource-limited settings. Her research spans multiple cutting-edge areas of materials science and engineering: Colloidal science and rheology Additive manufacturing of advanced ceramics Silicone-based composite materials for surgical simulation Cement and construction materials Dr. Akbulut teaches several courses including Polymer Physics (MAT 404), Polymer Engineering II (MAT 402), and Introduction to Materials Science (ENS 205). She has successfully mentored numerous students, many of whom have gone on to prestigious institutions like EPFL, MIT, and Imperial College London. Her research group includes postdoctoral fellow Burcin Ustbas and PhD candidates Ayse Ay, Gizem Demir, and Isik Arel. She collaborates with researchers at institutions including EPFL, KAUST, Marmara University, and Istanbul Oncology Hospital. Dr. Akbulut is the founder of Surgitate, a company established in 2014 that develops tactile surgical training platforms. Her silicone-based composite models simulate breast tissue for surgical training, particularly for oncoplastic surgery. These models have been adopted in Australia, the UK, and India, with skin models available on Amazon being used in over 20 countries. She has received significant media attention for her work, including coverage in Hurriyet and WIPO Magazine. She has also launched a social responsibility project called "#kendimdensorumluyum" (I Am Responsible for Myself) which places 3D breast models in company facilities to encourage women to perform regular self-examinations. Dr. Akbulut has delivered numerous talks and seminars at prestigious institutions worldwide including EPFL, Bilkent University, Koç University, KAUST, and TEDx Reset. She has also participated in events like the Falling Walls conference in Berlin and the World Economic Forum in Dubai.
