جست‌وجوی استاد و پژوهشگر

Ahmet ÖZMENمشاهده پروفایل

استاد

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +۶ مورد دیگر

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.

Mehmet Uğur KAHRAMANمشاهده پروفایل

استادیار

• Interior Design Education
• Artificial Intelligence in Design
• Sustainable Materials
• +۳ مورد دیگر

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.

Sevgi AYDINمشاهده پروفایل

استادیار

• Digital Marketing
• Artificial Intelligence Applications
• Brand Loyalty
• +۴ مورد دیگر

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'

• Traditional Turkish Handicrafts
• Ancient Tile Repair
• Fine Arts
• +۴ مورد دیگر

Lecturer ÖNDER DÜZ is affiliated with Uşak University , currently serving at the EŞME VOCATIONAL SCHOOL, Department of Handicrafts . Previously, he held lecturer positions at Banaz Vocational School (2013-2023) and Eşme Vocational School (2010-2013). His academic journey includes a Master’s degree in Traditional Turkish Arts from Sakarya University (2007-2019) and an undergraduate diploma from the same institution (2000-2004). Research Focus: Traditional Turkish Handicrafts, Ancient Tile Repair, Computer Graphics, and Interior Architecture. Projects: Led educational infrastructure development in vocational schools and participated in cultural heritage initiatives like "Seljuk Tiles with Modern Reflections" and "Pattern and design features of Karatay Madrasa decorations". Training: Completed certifications in IT (Adobe Acrobat Pro, Autodesk 3D StudioMAX), Sustainable Energy, Water Efficiency, and Human Rights/Good Governance. Artistic Contributions: Active in international art competitions, exhibitions, and symposiums, including the "5th International Young Ceramicists Tile Competition" and "Cumhuriyetimizin 100. Yılı Anı Duvarı Projesi". Leadership: Served as Head of Department (2017-2020) and Assistant Director of Vocational Schools.

Mustafa Sertمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Machine Learning
• Semantic Multimedia
• +۵ مورد دیگر

Mustafa Sert , currently serving as Associate Professor at Başkent University's Department of Computer Engineering and as Vice Dean of the Faculty of Engineering, has made significant contributions to audio signal processing, machine learning, and semantic multimedia. He earned his PhD (2006), MSc (2001), and BSc (1997) in Computer Engineering from Gazi University, supervised by prominent academics. PhD: Gazi University (2006) MSc: Gazi University (2001) BSc: Gazi University (1997) His research focuses on audio-visual content analysis , multimodal information fusion , and machine learning applications in semantic multimedia systems. He leads projects at the intersection of deep learning , speech processing , and acoustic pattern recognition , with work appearing in venues like IEEE Access, ACM Multimedia conferences, and Signal Processing and Communications Applications Conference (SIU). Recent publications demonstrate trends in automated audio captioning , medical speech analysis , and educational data mining , with applications spanning mental health detection, chatbot development, and reviewer selection systems. His work integrates transformer architectures , convolutional networks , and fuzzy decision-making models . Scientific Recognitions: Best Paper Award (7th Eurasian Congress on Emergency Medicine 2021) Outstanding Reviewer Awards (IEEE ICME 2020, 2021) Outstanding Area Chair Award (ACM Multimedia 2024) Academic Leadership includes roles as Senior IEEE Member, technical committee board positions in IEEE CTSoc divisions, and ACM membership. He supervises over 20 graduate students in topics ranging from depression detection through speech to geothermal permeability estimation , while maintaining active involvement in conference organization and journal reviewing for top-tier publications.

• Interior Architectural Design
• Conservation
• Renovation
• +۲ مورد دیگر

İsmail Ertan Ertürk is a Lecturer in the Interior Design department at Karabuk University , specifically at Safranbolu Şefik Yılmaz Dizdar Vocational School. His academic career spans multiple institutions, including collaborations with scholars from Marmara University, Hacettepe University, and others in Turkey. Education Master’s Degree in Interior Architecture from Marmara University Institute of Fine Arts (1995-1999) Bachelor’s Degree in Interior Architecture and Environmental Design from Hacettepe University Faculty of Fine Arts (1988-1992) His research focuses on Interior Architectural Design , Conservation , Renovation , Restoration , and Green Buildings and Environments . His recent publications emphasize historical preservation, sustainable practices, and the application of digital tools in design processes. Notable article themes include: Eco-entrepreneurship and environmental awareness among students Adaptation of historical structures for tourism and sustainability Use of computer-aided design software in furniture production Perspective and studio-based design methodologies He has contributed to international conferences and has collaborated with researchers such as Mehmet Nuri Yıldırım , Abdurrahman Karaman , and Ayşen Esra Bölükbaşı Ertürk . His work aligns with academic metrics in the fields of architecture, planning, and design.

Yücel Yemezمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Deep Learning
• +۳ مورد دیگر

Prof. Yücel Yemez is a faculty member at the Department of Computer Engineering, School of Engineering, Koç University. His research focuses on machine learning, computer vision, and human-robot interaction. Education: PhD in Computer Engineering, Boğaziçi University (1997) MSc in Computer Engineering, Boğaziçi University (1992) BS in Computer Engineering, Middle East Technical University (1989) Research Interests: Machine Learning Vision and Graphics Deep Learning for Computer Vision 3D Vision and Graphics Human-Robot Interaction Affective Computing

• Computer Sciences
• Computer Graphics
• Engineering and Technology
• +۳ مورد دیگر

ÖMER ÇAKIR is a Lecturer at the College of Engineering , Karadeniz Technical University , Department of Computer Engineering. His work spans computer graphics, software engineering, and signal processing. Education: Undergraduate (2001) and Postgraduate (2004) in Computer Engineering at Karadeniz Technical University. Academic Positions: Lecturer (2002–Present), Research Assistant (2001–2002). Research focuses on Computer Graphics , Signal Processing , and Optimization Algorithms . His conference papers address topics like virtual surgery simulations , fractured object reassembly , and TDOA-based localization . Key publication trends include parallel computing , 3D reconstruction , and PSO optimization . He has contributed to 13 peer-reviewed conferences. His contact email is cakiro@ktu.edu.tr , and he teaches BİLGİSAYAR GRAFİKLERİ-I and DATA STRUCTURES .

Fatma AKALINمشاهده پروفایل

استادیار

• Medical Image Analysis
• Deep Learning
• Bioinformatics
• +۴ مورد دیگر

Dr. Fatma AKALIN serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences. Previously, she held a Research Assistant position at the same institution starting in 2020. Her academic foundation was built through a Bachelor's and Master's in Computer Engineering from Sakarya University. Education: M.Sc. in Computer Engineering, Sakarya University (2018-2020) B.Sc. in Computer Engineering, Sakarya University (2014-2018) Dr. AKALIN's research bridges artificial intelligence with critical medical diagnostics challenges. She pioneers novel applications of deep learning architectures and bio-inspired optimization algorithms across diverse healthcare domains. Her work spans dental radiology for periapical lesion detection, cardiac diagnostics for arrhythmia and heart failure prognosis, gastrointestinal anomaly identification through capsule endoscopy, and genomic sequence analysis for leukemia classification. She has developed specialized techniques including the Crocodile and Egyptian Plover (CEP) optimization algorithm and synthetic data generation methods to address medical data scarcity. Analysis of her 2022-2025 publications reveals a strategic focus on medical image processing with consistent innovation in YOLO-based object detection, ensemble classifiers, and hybrid deep learning models. Her research trajectory demonstrates increasing sophistication in integrating domain-specific constraints with algorithmic advancements, particularly in overcoming data limitations through synthetic data generation and optimization techniques. Dr. AKALIN has not received documented scientific awards or fellowships. Available information does not indicate student advisement or external grant funding. No dedicated research laboratories or collaborative teams are specified in current materials.

• Artificial Intelligence
• Machine Learning
• Image Processing

Tuğba Erkoç is an Assistant Professor in the Department of Computer Engineering at Isik University 's Faculty of Engineering and Natural Sciences. She holds a PhD in Computer Engineering (2024) and has been actively involved in academic research since 2014. PhD in Computer Engineering, Isik University (2014-2023) MSc in Computer Engineering, Isik University (2010-2013) BSc in Computer Engineering, Isik University (2005-2010) Her research focuses on Artificial Intelligence , Machine Learning , and Image Processing , with significant contributions in: Neural network optimization techniques Unsupervised learning methodologies Facial expression simulation models Handwritten digit recognition systems Competitive learning algorithms Language embedding models Her work spans theoretical advancements in convolutional neural networks and practical applications in facial anatomy simulation and Turkish language processing.

• Computer Graphics
• Volumetric Visualization
• Virtual Archaeology
• +۷ مورد دیگر

Prof. Ahmet Denker is a full Professor in the Department of Electrical-Electronics Engineering at Istanbul Bilgi University , where he has been serving since 2010. He also holds a Courtesy Professor position at the University of South Florida , USA, since 2021. Previously, he served as Professor at Girne American University, Cyprus International University, Eastern Mediterranean University, and Ankara University, and as Associate and Assistant Professor at Bogazici University. His academic background includes a PhD (1981) and MS (1978) in Computer-Control Engineering from the University of Sussex , and a BS in Electrical and Electronics Engineering from Bogazici University (1977). His research lies at the intersection of engineering and digital humanities, with a strong focus on Computer Graphics, Volumetric Visualization, Robotics, Virtual Archaeology, and Archaeogaming . He specializes in the 3D digital reconstruction of cultural heritage sites, particularly the ancient city of Palmyra. His recent publications demonstrate a consistent trend in using advanced visualization and photogrammetry techniques to preserve and revive historical monuments. The works emphasize virtual reconstruction, cultural memory, digital preservation, and photo-realistic modeling , especially of the Great Temple of Bel in Palmyra. Virtual Archaeology Review (2017) Whittles Academic Publishing (2018) İstanbul Bilgi Üniversitesi Publications (2020) Austrian Academy of Sciences Press (2022) Prof. Denker has advised multiple research projects and publications in the domain of digital cultural heritage. While specific grant details are not listed, his international collaborations (e.g., with Italian scholar G. Fangi) and publications with academic presses suggest funded research activity. He is actively involved in interdisciplinary teams combining engineering and archaeology. He leads research efforts in virtual archaeology at Istanbul Bilgi University, working with digital modeling labs and interdisciplinary teams focused on heritage preservation through technology.

• Graphic Design
• Art and Design
• Education in Art
• +۵ مورد دیگر

Deniz Kürşad is an Associate Professor and current Head of Department in the Department of Graphic Design at Canakkale Onsekiz Mart University's Faculty of Fine Arts, where she has served since 2010. Promoted from Research Assistant (2010-2017) to Assistant Professor (2017-2021) and finally Associate Professor in 2021, she also holds multiple leadership roles including Faculty Management Board Member and Ethics Committee Member. Her educational background includes: PhD in Competence in Art, Hacettepe University, Faculty of Fine Arts, Department of Graphics (2016) MA in Postgraduate Studies, Suleyman Demirel University, Faculty of Fine Arts, Department of Graphics (2008) Bachelor's Degree, Mersin University, Faculty of Fine Arts, Department of Graphics (2003) Kürşad's research spans Graphic Design, Art and Design, Accessibility, and Branding with focus on visual identity systems and interdisciplinary applications. Her work bridges architectural visualization, typography in public spaces, and universal design principles, emphasizing practical implementation in educational and professional contexts. Analysis of her 14 recent publications (2014-2024) reveals consistent focus on three-dimensional visual communication, accessibility in branding, and environmental graphic design. Her work demonstrates strong integration of theoretical frameworks with practical applications, particularly in public space branding, responsive web design, and cross-disciplinary design methodologies. She has secured significant research funding including the 2022-2024 project 'Symbolization of Çanakkale's Historical and Cultural Values for Application on Textile Surfaces' as Principal Investigator, alongside editorial roles for the International Journal of Troy Art and Design since 2020. Her academic supervision extends through curriculum development in courses like Packaging Design and Web Design. Kürşad maintains active artistic engagement through international exhibitions including the 9th Çanakkale Biennial and interdisciplinary projects addressing cultural heritage and social issues like violence against women, demonstrating the practical application of her theoretical research.

FESİH KESKİNمشاهده پروفایل

استادیار

• Signal Processing
• Antenna Array Design
• Direction of Arrival Estimation
• +۵ مورد دیگر

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.

• Facial Expression Analysis
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Academic Overview Kristin Surpuhi Benli currently serves as an Assistant Professor in the Department of Software Engineering at Uskudar University's College of Engineering. With a research focus spanning facial expression analysis, machine learning applications, and data mining in medical contexts, her work bridges computational methods with interdisciplinary applications. Education Undergraduate Degree: Computer Engineering, Işık University (2005) Master Degree: Computer Engineering, Işık University (2007) Doctorate: Computer Engineering, Işık University (2013) Research Interests Her research spans multiple dimensions of computational science: Developing anatomically-informed facial expression recognition systems Applying machine learning to medical prognosis through blood test analysis Investigating programming self-efficacy in computer science education Exploring AI adoption in neuroscience and clinical decision-making Implementing image processing techniques for brain tumor detection Academic Contributions Dr. Benli has contributed to diverse research areas through her publications, including: Classification algorithms in stroke mortality prediction BERT-based stance detection in social media analysis Neuroscience applications of artificial intelligence Anatomical modeling for facial expression recognition Biometric data analysis through nearest neighbor methods Administrative Roles Deputy Head of Research Center (YAZAMER), since 2025 Member of Quality Commission (Faculty level), since 2023 Board Member of Faculty Administrative Council, since 2020 Deputy Head of Software Engineering Department, since 2019 She also maintains active student advisory roles and participates in various academic commissions.

Cemil ÖZمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۹ مورد دیگر

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.