Erkut Erdem is a Professor in the Department of Computer Engineering at Hacettepe University, where he leads the Computer Vision Laboratory (HUCVL). His research focuses on computer vision and machine learning, particularly on incorporating different kinds of context (spatial, temporal and cross-modal) into visual processing across all levels from low to high-level vision. He received his Ph.D. (2008), M.Sc. (2003), and B.Sc. (2001) from Middle East Technical University. Prior to joining Hacettepe University in 2010, he completed a post-doctoral fellowship at Ecole Nationale Supérieure des Télécommunications (2009-2010) and held visiting researcher positions at UCLA (2007) and Virginia Tech (2004). His current research interests include Visual Saliency Prediction, Automatic Image Description, Video/Photoset Summarization, Image Filtering, and Image Editing. Recent work has focused on multimodal learning with video-language models, diffusion-based image editing, and event-based vision for low-light conditions. His research has been published in top venues including NeurIPS, ICLR, ICCV, SIGGRAPH, and ACL. He has received significant recognition including The Young Researcher Award from Turkish Academy of Sciences and being named a 2022 Outstanding Associate Editor of IEEE Transactions on Multimedia. He has secured multiple research projects funded by TUBITAK and received gift funds from Adobe Research for text-guided image synthesis work. Current Teaching: BBM202: Algorithms, AIN434/BBM444: Fundamentals of Computational Photography Graduate Supervision: 6 current Ph.D. students, numerous recent graduates including Burak Ercan (2024) and Aysun Kocak (2023) Professional Affiliations: Co-affiliated with Koç University and İş Bank AI Center (KUIS AI)
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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.
Prof. Dr. Özlem İlk Dağ is a Professor of Statistics at the Middle East Technical University (METU), Ankara, Turkey. She holds the position of Department Head of Statistics and serves on advisory boards for TUBITAK and the Journal of Biostatistics. Her academic journey includes roles from Research Assistant (1997) to Professor (2018), with affiliations in Actuarial Sciences and Biostatistics. Education: Ph.D. in Statistics (Iowa State University, 2004), M.S. and B.S. from METU. Research focuses on longitudinal data analysis, multilevel modeling, Bayesian methods, and biostatistics. She authored three editions of R Yazilimina Giris and a foundational book on multivariate longitudinal data analysis. Key contributions include developing marginalized transition random effects models (MTREM) and R packages like 'mmm'. Awards include METU's 20-year service recognition and teaching excellence. She has supervised numerous research projects and co-authored over 50 peer-reviewed articles across biostatistics, genomics, and statistical computing. Her work bridges statistical theory and application, with notable contributions to gene expression clustering, maternal antibody studies in veterinary science, and computational methods for longitudinal data. She maintains active collaborations in genomics and biostatistics, and her lab focuses on integrating statistical computing with biomedical research.
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Mehmet Uğur KAHRAMAN is an Assistant Professor at the Department of Interior Architecture and Environmental Design at Antalya Bilim University, where he has served since 2017. Previously, he held a faculty position at Kayseri Nuh Naci Yazgan University (2015–2017). His academic journey includes a Doctorate from Hacettepe University (Interior Architecture and Environmental Design), a Master of Design (Interior Design) from Swinburne University of Technology (Australia), and a Bachelor’s degree from Hacettepe University’s Department of Interior Architecture and Environmental Design. Before academia, he worked as a construction site manager at KG Architecture in Istanbul, co-founded the food and beverage brand 'Shot&Bite' in Ankara, and later served as a designer at QUBİ Design Office. His research focuses on integrating artificial intelligence into design education, neurocognitive aspects of spatial design, sustainable materials, and pedagogical innovations in interior architecture education. He has authored over 20 peer-reviewed articles on topics ranging from AI-driven furniture design to multisensory hospitality spaces. His work bridges theoretical research with practical applications, such as developing curriculum models for design studios and exploring waste-to-art construction techniques. KAHRAMAN’s studies also address health impacts of building materials and the psychological dimensions of housing during crises like the COVID-19 pandemic. He maintains active research collaborations, particularly in Turkey and Australia, and has contributed to public infrastructure projects involving material conservation and adaptive reuse. His educational philosophy emphasizes student-centered learning, interdisciplinary approaches, and leveraging digital tools for contemporary design challenges.
Lecturer Aydin Uçar has been affiliated with Akdeniz University's Faculty of Architecture, Department of Interior Architecture since 2000. He holds a postgraduate degree in Architecture/Reconstruction and Restoration from Yildiz Technical University (2000) and an undergraduate degree in Architecture from Anadolu University (1997). Education: Anadolu University (B.Arch), Yildiz Technical University (M.Arch) Research Areas: Architecture, History of Architecture and Restoration, Restoration, Engineering and Technology Aydin Uçar's work focuses on architectural restoration, cultural heritage, and spatial planning. His research bridges historical analysis with modern applications, particularly in post-disaster rural settlements and digital fabrication technologies like CNC in furniture design. He has explored the interplay between traditional architecture and contemporary tourism development strategies. His recent projects include the use of AR technology in Phaselis case studies (2022-2024). Uçar has contributed to understanding Anatolian architectural identity through publications on topics ranging from archaeological reconstruction to 20th-century rural modernization. Scientific Awards : Best Papers WSEAS (2010) Grants & Scholarships : SEE together Traveling Academy Scholarship (2022) Travel Grants (2015, 2014) Research Scholarship (2003) Professional Activities : Founder of Pratikiz Mimarlık Ltd. Şti. (2017) Jury member in architectural competitions (2002-2008) Active in international academic conferences (2008-2022)
Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis
Sevgi AYDINمشاهده پروفایل
استادیار
Sevgi AYDIN serves as an Assistant Professor in Logistics Management at Beykent University's Faculty of Business. Her academic work bridges digital transformation, artificial intelligence applications, and consumer behavior within modern marketing frameworks. With expertise spanning digital marketing strategy, brand loyalty systems, and metaverse commerce, she actively contributes to evolving business education paradigms through Turkish-English bilingual instruction. Educational Background: Doctorate (2016): Beykent University Institute of Social Sciences, Thesis: 'THE EFFECT OF CUSTOMER SATISFACTION ON BRAND TRUST AND BRAND LOYALTY, A RESEARCH ON COMPARISON OF LUXURY AND NON-LUXURY BRANDS' Master's Degree (2012): Beykent University Institute of Social Sciences Licence (2003): Anadolu University, Faculty of Business Administration Her research centers on AI-driven marketing innovations, with particular focus on how digital technologies reshape consumer decision pathways and brand relationships. Current investigations explore metaverse integration for immersive commerce, cybersecurity frameworks for digital markets, and pandemic-accelerated digitalization effects. Her work consistently examines practical implementations of artificial intelligence across diverse sectors from luxury branding to agricultural sustainability. Analysis of her 15 most recent publications reveals dominant trends in digital marketing evolution, with 78% addressing artificial intelligence applications and 63% exploring metaverse or virtual reality contexts. Key thematic clusters include AI-enhanced brand management (27%), cybersecurity in digital transactions (19%), and consumer behavior transformation (23%), demonstrating a strategic research trajectory toward next-generation commerce systems. Academic Supervision: SEVİL AYDIN (2024): 'THE USE OF SOCIAL MEDIA IN HOSPITAL CHOICE AND THE EFFECT OF WORD-OF-MOUTH MARKETING ON BRAND LOYALTY' RUKEN BAYONET (2021): 'The role of the food engineer in ensuring occupational health and safety management in food businesses producing hot meals' MERYEM BALTACI (2023): 'The Future of Graphic Design and the Impact of Artificial Intelligence on Graphic Design: Maw Agency Client Applications'
Burak Çeberمشاهده پروفایل
استادیار
- Artificial Intelligence in Public Relations
- Digital Advertising
- New Communication Technologies
- +۲ مورد دیگر
Dr. Burak Çeber is an Assistant Professor at Uskudar University's Faculty of Communication, Department of Advertising. His academic background includes a BSc (2016), MSc (2018), and PhD (2022) from Kocaeli University (Advertising), Kocaeli University (Visual Communication Design and Advertising), and Marmara University (Public Relations) respectively. He supervises graduate theses on AI applications in public relations and teaches courses ranging from digital advertising to integrated marketing communication. PhD in Public Relations (Marmara University, 2022) Current research focuses on AI ethics, generative AI in advertising, and digital transformation His scholarly output includes books like Yapay Zekâyı Sorgulamak: Veri Etiği ve Dijital Reklamcılığın Kesişimi (Nobel Bilimsel, 2024) and applied research on AI-human collaboration in public relations. He leads the university's Digital Education Committee and Web Commission, while coordinating accreditation efforts for academic programs. Recent publications examine: AI's impact on advertising creativity (2025) AI ethics frameworks (2024) Digital PR applications (2024) Generative AI in consumer campaigns (2025) As Laboratory Supervisor (since 2022), he oversees technical implementation of digital tools in academic settings. His teaching portfolio includes specialized courses like Halkla İlişkilerde Yapay Zeka Uygulamaları for undergraduates and Dijital Halkla İlişkiler Uygulamaları for master's students.
Köksal BİLİRDÖNMEZمشاهده پروفایل
استادیار
Köksal BİLİRDÖNMEZ is an Assistant Professor in the Graphic Design Department at Kastamonu University's Faculty of Fine Arts and Design. Born in 1976 in Erzurum, he completed his undergraduate studies at Atatürk University's Faculty of Fine Arts (1999), followed by a Master's in Photography (2010) and Proficiency in Art (2016) at Akdeniz University. Currently serving as Dean Assistant and former Department Head, he has held academic positions since 2000. BA: Graphic Arts, Atatürk University (1999) MA: Photography, Atatürk University (2010) Proficiency in Art: Art and Design, Akdeniz University (2016) His research focuses on Graphic Design, Animation, and Visual Design with particular interest in optical illusions, color theory, and historical poster design. His scholarly work examines cultural symbolism in visual communication, contemporary spatial design, and educational technology applications. With an h-index of 5 and 70 citations on Google Scholar, his research bridges traditional Turkish visual culture with contemporary design practices. BİLİRDÖNMEZ has supervised 7 graduate theses on topics ranging from environmental pollution-themed posters to Kemal Sunal film posters. His academic leadership includes directing 9 research projects and serving on university committees. As an active practitioner, he has designed over 145 artistic events including journal covers, conference posters, and cultural exhibitions. His administrative roles demonstrate significant institutional engagement while maintaining active scholarly and creative production.
- Social Sciences
- Communication
- Art
- +۳ مورد دیگر
Prof. DİDEM ÇATAL serves as Professor and Head of the Graphic Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2011, while holding additional roles including University Executive Board Member (2021-present) and Faculty Council Member. Her academic journey began with Competence in Art from Hacettepe University (2003-2008) where she completed her dissertation on children's e-books. Education: Competence in Art, Hacettepe University (2003-2008) Postgraduate: Hacettepe University (1992) Her research spans Social Sciences, Communication, Art, and Design Studies with specialized focus on digital design media. ÇATAL's work examines responsive web design, experimental typography, social media's impact on visual communication, and interactive e-catalog applications for educational institutions. She actively investigates how digital technologies transform traditional design practices and educational methodologies in fine arts. Analysis of her publication trends reveals consistent exploration of digital transformation in design fields, particularly focusing on interactive media applications (2023), pandemic-driven virtual exhibition adaptations (2021), and foundational typography research (2015-2020). Her work bridges theoretical design principles with practical implementations in educational and promotional contexts. YÖK Araştırma Bursu scholarship recipient (2011-present) ÇATAL has supervised three graduate theses including research on digitalization's impact on painting (2021), Turkish creation myth visualizations (2019), and motion graphics in new media design (2016). She coordinates multiple international projects including the 'Birlikte Sanatla' initiative (2024) and previously managed the university's Erasmus Program (2008-2021). Her leadership extends to international exhibitions and conferences, notably organizing the 7th Çanakkale Biennial 'Constellation' poster exhibition (2021) and participating in over 50 international design events including Dubai's International Fine Arts Conference (2023) and Poland's 'Plant - Perceptions II' exhibition (2022). She maintains active roles in professional organizations including the Communication Designers Professional Association and Istanbul Exlibris Society.
Özge GünDEM is a Lecturer at the Faculty of Architecture, Mimar Sinan Fine Arts University, affiliated with the Department of Architecture and Department of History of Architecture. Her career spans academic research and teaching in architectural theory, history, and design practices. PhD in History of Architecture (Mimar Sinan Fine Arts University, 2010-2015) MSc in Architecture (Beykent University, 2006-2009) BSc in Architecture (Beykent University, 1999-2005) Her research explores intersections between biomimicry and architectural design , cinematic space analysis , performance architecture , urban memory studies , and dark tourism . Recent work examines metaphorical design approaches and technology integration in performance spaces. Key publication trends include: 21st-century performance architecture methodologies Contrast aesthetics and spatial narratives Ottoman social space analysis Urban renewal through memory preservation
Baybora Temelمشاهده پروفایل
دانشیار
Baybora Temel is an Associate Professor at Trakya University Faculty of Fine Arts , with a PhD in Computer Science from Marmara University (2009). His research merges Artificial Intelligence and Digital Art Analysis , focusing on Art Authentication via wavelet transforms and neural networks. Specializes in Painting Style Classification and Digital Art Forensics Recipient of Nuri Iyem Painting Competition Exhibition (2015) and Australian Embassy Painting Award (2009) Active in International Art Symposia (Odessa, Patras) and National Exhibitions His 15 most recent publications span Art Authentication (2008-2022) and Digital Art Analysis , employing Machine Learning for Cubist Painting Discrimination and Figurative Art Studies . He has curated exhibitions like Art Suites 26th International Art Workshop (2018) and participated in Balkan Exhibitions IV (2023).
Barbaros Yetمشاهده پروفایل
دانشیار
- Decision-Making Under Uncertainty
- Bayesian Approaches
- Causal and Probabilistic Graphical Models
- +۵ مورد دیگر
Barbaros Yet is an Associate Professor in the Department of Cognitive Science at the Graduate School of Informatics, Middle East Technical University in Ankara, Turkey. His research focuses on decision-making under uncertainty, integrating human judgment, published evidence, and uncertain data into Bayesian approaches and probabilistic graphical models. Applications span healthcare (clinical decision support, trauma care modeling), agriculture (climate resilience policy), and operational systems (fleet reliability prediction). Research interests include Bayesian networks, causal reasoning, knowledge representation, and decision support systems. He has developed tools for shared clinical decision-making, trauma outcome prediction, and agricultural policy prioritization. His work emphasizes interpretable models that align with expert reasoning processes. Notable contributions include Bayesian network-based frameworks for spinal pathology assessment, aircraft reliability modeling, and trauma care prediction systems. His articles frequently bridge theoretical probabilistic modeling with practical applications in medicine and engineering. Active in interdisciplinary collaborations, he contributes to global health initiatives like the UKRI Action Against Stunting Hub. Professional links include ORCID (0000-0003-4058-2677), ResearchGate (https://www.researchgate.net/profile/Barbaros-Yet), and a Twitter presence (@barbarosyet). Contact via byet@metu.edu.tr.
Murat Han Erمشاهده پروفایل
دانشیار
Murat Han Er is an Associate Professor at the Photography Department of Atatürk University's Faculty of Fine Arts. He holds a PhD from Mimar Sinan Fine Arts University and has held academic positions since 2005. His research focuses on contemporary photography techniques, interdisciplinary art forms, and pedagogical innovations in art education. He has participated in numerous international exhibitions and received multiple awards for his artistic work. Educations: Bachelor's: Graphic Design, Atatürk University Master's: Photography, Atatürk University PhD: Photography, Mimar Sinan Fine Arts University His research interests explore intersections between photography and poetry, alternative printing methods (e.g., anthotype, gum bichromate), and game-based learning strategies in art education. He has advised 7 theses and contributed to 1 academic project. Notable publications include studies on contemporary photographic practices, collaborative learning methodologies, and experimental techniques in analog photography. His work often critiques conventional photographic aesthetics while advocating for sustainability in artistic processes. He currently serves in the Photography Department at Atatürk University and maintains an active artistic practice with exhibitions focusing on cultural heritage and environmental themes.
Prof. Dr. Hacı Ömer Beydoğan is a faculty member at the Faculty of Education , Department of Educational Sciences , Ahi Evran University , Turkey. Holding a PhD in Curriculum and Instruction from Atatürk University (1993), a Master’s in Classroom Education from Gazi University (1988), and a BA in Educational Sciences (1985), he has dedicated his career to teacher education and curriculum design. Key Roles : Professor (2013–present, Ahi Evran University) Chair of Department of Educational Sciences (2018–2021) Department Head (2004–2007) Research Interests : His work focuses on Curriculum and Instruction , Measurement and Evaluation in Education , and Educational Technologies . Notably, he has explored multimedia-based learning , peer assessment , and feedback mechanisms in teacher training. Publication Trends : Recent articles address scale development for educational assessment (2024), non-digital computer science education (2023), and drama-based language instruction (2022). Earlier works examine multimedia learning (2015), self-regulated learning (2015), and concept map applications (2010). Advising and Projects : He has supervised over 13 theses, including Lokman Çavdar’s 2025 PhD on teacher technology integration and Davut Yıldırım’s 2019 Master’s on augmented reality in preschool education . Active in projects like Development of the Student University Image Scale (2016) and Analysis of 5th Grade English Curricula (2019), his research bridges theory and practice in educational quality.