جست‌وجوی استاد و پژوهشگر

• 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.

Tolga Kurtuluş Çapınمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Artificial Intelligence
• +۵ مورد دیگر

Tolga Kurtuluş Çapın is a Professor at TED University's Department of Computer Engineering, Faculty of Engineering. He has been actively teaching since at least 2014, offering courses like Data Structures and Algorithms, Computer Graphics, and Human-Computer Interaction across multiple semesters. His research focuses on computer graphics, computer vision, artificial intelligence, and mobile interaction technologies. Education: B.S. and M.S. in Computer Engineering from Bilkent University (1991, 1993), Ph.D. in Computer Sciences from École Polytechnique Fédérale de Lausanne (EPFL, 1998). Professional Experience: Nokia Research Center (2000–2006), Bilkent University (2006–2014), and TED University since 2014. He led the FP7 3DPHONE project and served as principal investigator for multiple TÜBİTAK projects. Key contributions include 8 U.S. patents, 3 international patents, and over 60 journal/conference publications. He is an associate editor of The Visual Computer Journal (Springer) and advises TÜBİTAK UIDB. Awards include ISO’s service recognition and an industry award for mobile Java standards development.

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

Yavuz Akpınarمشاهده پروفایل

استاد

• Educational Technology
• Instructional Design
• Interactive Learning Environments
• +۵ مورد دیگر

Prof. Yavuz Akpınar at Boğaziçi University is a leading academic in Educational Technology and Interactive Learning Environments . His career spans over two decades of research and development in technology-enhanced education. Ph.D. : Design and Validation of Interactive Learning Environments (University of Leeds, UK) M.A. : Graphical Environments for Understanding School Science (University of Leeds, UK) B.S. : Measurement and Evaluation in Education (Hacettepe University, Türkiye) His research focuses on serious games , computer-based learning , and multimedia pedagogy , with particular emphasis on self-regulated learning and programming education in K-12 contexts. Recent publications highlight a consistent focus on serious game design , flipped classroom modalities , and argumentation-based learning tools . His work bridges STEM education and educational technology validation . Professor Akpınar's email address is akpinar@bogazici.edu.tr .

• 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.

Bekir Tevfik Akgünمشاهده پروفایل

استاد

• Artificial Intelligence
• Information Security
• Internet of Things
• +۴ مورد دیگر

Prof. Bekir Tevfik Akgün serves as Professor and Dean of the Faculty of Computer and Information Sciences at Yeditepe University, with prior academic appointments at Istanbul Okan University (Department Head, Institute Director), Ohio State University, and Yildiz Technical University (Dean). His expertise spans artificial intelligence, information security, computer graphics, and distributed systems, supported by extensive research funding and supervision of 19 graduate students. Educational background includes: Ph.D. in Control and Computer Engineering, Istanbul Technical University (1991) M.S. in Control and Computer Engineering, Istanbul Technical University (1984) B.S. in Electrical Engineering, Istanbul State Academy of Engineering and Architecture (1981) His research integrates theoretical and applied computer science, with recent focus on AI-driven environmental monitoring (forest fire detection via drone-IoT networks), bioinformatics security, and advanced color models. Early work established foundational contributions in digital art (marbled paper techniques) and real-time operating systems, evolving into contemporary applications in energy management and autonomous systems. Publication trends since 2001 reveal consistent innovation across domains: computer graphics (2004-2024), distributed systems (2001), and emerging AI/IoT applications (2022-2024). The interdisciplinary nature of his work bridges theoretical computer science with practical implementations in security, environmental science, and human-computer interaction. Scientific Awards: No major scientific awards were listed in the provided information. Advising and Grants: Supervised 18 master's theses and 1 doctoral dissertation covering autonomous vehicles, deep learning, and IoT systems. Secured over 1.5 million Turkish Lira in research funding through TÜBİTAK projects including Smart Renewable Energy Management System (2018-2021, 159,636 TL) and Advanced Autonomous Bus System (2018-2021, 915,810.99 TL), with additional projects in battery management and metrobus efficiency. Labs and Teams: Project descriptions indicate leadership in autonomous systems teams and energy management research groups, though specific laboratory affiliations are not detailed in the source text.

• 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.

Osman Darcanمشاهده پروفایل

دانشیار

• Programming Techniques
• Object Oriented System Development
• Simulation
• +۲ مورد دیگر

Osman Darcan is an Associate Professor at Bogazici University in Istanbul, Turkey, with a verified institutional email osman.darcan@boun.edu.tr. His academic career spans over two decades with consistent research output in computational fields. Education Background: Undergraduate: Boğazici University, Computer Engineering Masters: Boğaziçi University, Computer Engineering Ph.D.: Boğaziçi University, Industrial Engineering His research focuses on practical applications of computational techniques across multiple domains. Darcan's work in Programming Techniques emphasizes object-oriented development frameworks and visualization tools for educational purposes. His Simulation research includes distributed systems and load balancing algorithms, while Artificial Intelligence applications target data mining for student profiling and e-commerce. The E-Learning strand features innovative tools for linear programming, geometric problem-solving, and programming education, demonstrating a strong commitment to pedagogical innovation through technology. Publication trends (2000-2012) reveal an evolution from foundational work in distributed simulation (2000-2006) toward applied data mining in education and e-commerce (2009-2012). His research consistently bridges theoretical computer science with practical educational and business applications, particularly in cluster analysis for student performance and agent-based modeling for market simulations. No scientific awards were documented in the source material. While specific advising records and grant details weren't provided, Darcan's publication pattern indicates supervision of students in data mining and simulation projects. His international conference presence (IBIMA, PICMET, World Conference on E-Learning) suggests active participation in global academic networks. The absence of lab/team mentions implies independent or small-group research operations focused on software tool development.

• Software
• Computer Science
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Dr. Aybars UĞUR is a faculty member at the Faculty of Computer and Information Sciences, Department of Computer Engineering at Ege University. His academic work spans multiple domains within computer science and engineering. Research Areas: Software, Computer Science, Artificial Intelligence, Machine Learning, Pattern Recognition, Computer Graphics, Database and Data Structures, Engineering and Technology, Computer Vision Keywords: Artificial intelligence, Machine Learning, Image Processing

Hande Alemdarمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Big Data Analytics
• +۶ مورد دیگر

Hande Alemdar is an Assistant Professor at the Department of Computer Engineering, Middle East Technical University, specializing in machine learning, data science, and big data analytics. She earned her BSc, MSc, and PhD in Computer Engineering from Boğaziçi University in 2004, 2009, and 2015, respectively, with her PhD thesis awarded the Bogazici University Research Fund (BAP) Best Thesis Award. PhD in Computer Engineering (2015), Boğaziçi University MSc in Computer Engineering (2009), Boğaziçi University BSc in Computer Engineering (2004), Boğaziçi University Her research focuses on applying machine learning to resource-efficient hardware, wireless sensor networks, and smart environments. She has pioneered work on ternary neural networks for FPGA-based AI, which reduce computational costs while maintaining accuracy. Her work spans diverse applications like activity recognition, fall detection, and sports analytics. Her recent publications reflect trends in deep learning for hardware efficiency, smart healthcare via ambient sensors, and network security with machine learning. These studies often integrate multi-modal sensor fusion and real-time data analysis , emphasizing deployability in resource-constrained scenarios. Scientific Awards Bogazici University BAP Best Thesis Award Hande has collaborated with Grenoble Informatics Institute and industry leaders like ST Microelectronics on energy-efficient AI. Her work has been published in journals and conferences such as Sensors, Computers & Graphics, and FPL, addressing topics from elite football performance analysis to covert channel detection in SDN. She leads research in scalable architectures for smart environments and is involved in the H2020 FET Project 'ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems', demonstrating her commitment to interdisciplinary AI applications.

• Haptics
• Surgical Simulation
• Minimally Invasive Surgery
• +۳ مورد دیگر

Prof. Çağatay Başdoğan is a Professor at the College of Engineering, Koç University. His research focuses on haptics, surgical simulation, and biomedical engineering. He has been recognized with the Test of Time (ToT) Award for his influential 2004 article in IEEE Computer Graphics and Applications. In 2023, he was elected as a Member of the Science Academy, a prestigious honor reflecting his scholarly contributions. His work bridges computer science and medicine, emphasizing practical applications in surgical training and robotic systems. The Test of Time Award highlights the enduring impact of his research on minimally invasive surgical techniques and haptic interfaces. Awards: Test of Time Award (2004), Science Academy Membership (2023) Research Themes: Surgical simulation, medical robotics, haptic feedback systems

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.