جست‌وجوی استاد و پژوهشگر

Kayhan AYARمشاهده پروفایل

استادیار

• Virtual Reality
• Information Security and Cryptology
• 3D Computer Graphics
• +۳ مورد دیگر

Kayhan AYAR is an Assistant Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His expertise spans Virtual Reality, Information Security, Cryptology, and 3D Computer Graphics, with a focus on simulation-based educational technologies and haptic interaction systems. Doctorate: 2010–2020, Sakarya University (Thesis: 3D Image of MIG-MAG Welding Seam using Voxified Paraboloid) Master's: 2008–2010, Sakarya University (Thesis: DirectX-based 3D Game Engine Design) Bachelor's: 2000–2007, Sakarya University His research explores virtual welding simulators, voxelization techniques, and real-time haptic applications. Key publications include 15 recent articles (2010–2024) on topics like 3D modeling, neural networks in welding training, and VR-based security applications for energy infrastructure. He has contributed to international conferences and journals such as the Turkish Journal of Electrical Engineering and Computer Sciences and Journal of Materials Education . His work includes a 2014 patent for a virtual welding simulator and participation in TÜBİTAK-funded projects. Teaching responsibilities include courses in Game Programming, Data Structures, Computer Graphics, and Parallel/Distributed Systems, alongside advising graduation projects and specialization areas.

Nur Banu OĞURمشاهده پروفایل

استادیار

• Depression
• machine learning
• Anxiety
• +۷ مورد دیگر

Dr. Nur Banu OĞUR is an academic faculty member at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. Her research focuses on interdisciplinary applications combining computer science methodologies with health informatics domains. Primary research areas include machine learning for healthcare applications Specialized in depression and anxiety classification algorithms Active in big data analytics and IoT-based solutions Expertise in feature selection for biomedical datasets

Özkan CANAYمشاهده پروفایل

استادیار

• Information Systems
• Web Mining
• Data Analytics
• +۶ مورد دیگر

Dr. Özkan CANAY serves as an Assistant Professor in the Department of Information Systems and Technologies at Sakarya University's Faculty of Computer and Information Sciences. With a career spanning nearly 30 years at the university, he progressed from technical roles to his current academic position, which he assumed in 2025 following completion of his doctorate. His educational credentials include: Industrial Engineering B.S. from Sakarya University (2002) Industrial Engineering M.S. from Sakarya University (2005) Computer and Information Engineering Ph.D. from Sakarya University (2024) Dr. CANAY's research centers on web analytics, user behavior prediction, and data governance frameworks. His expertise spans web usage mining (WUM), application logging, anomaly detection, and machine learning applications for enriched analytics. He has developed specialized frameworks like CAWAL for comprehensive web analytics. His scholarly output includes two academic books published in 2016 and the BIDAM scientific journal search engine. His Web of Science profile shows an h-index of 2 with 11 total citations, indicating a developing research trajectory. Administratively, he served as Deputy Director (2005-2008, 2009-2011) and Director (2011-2012) of the Computer Research and Application Center. He has taught informatics courses for 16 years, primarily through distance education, and currently instructs courses in information systems analysis, Python programming, and project management.

Abdullah Salih Bayraktarمشاهده پروفایل

پژوهشگر

• Internet of Things
• Wireless Networks
• Smart Buildings
• +۳ مورد دیگر

Abdullah Salih Bayraktar serves as a Researcher at Sakarya University's Faculty of Computer and Information Sciences within the Department of Software Engineering. Holding a doctorate in Computer Engineering (2021), he maintains active institutional engagement through current contact details and ongoing research initiatives. His academic credentials feature: Dual Bachelor's degrees in Computer Engineering and Electrical-Electronics Engineering from Sakarya University (2012-2016) Master's in Computer Engineering from Gebze Technical University (2018-2021) with thesis: Channel assignment for wireless industrial internet of things mesh networks Doctorate in Computer Engineering from Sakarya University (2021) Bayraktar's research integrates Internet of Things frameworks with practical applications in energy optimization and healthcare diagnostics. His work demonstrates consistent focus on wireless network architectures for smart infrastructure, particularly examining machine-to-machine communication protocols for building energy systems. Concurrently, he explores photoplethysmography signal analysis for automated sleep disorder detection, indicating cross-disciplinary methodology bridging embedded systems and biomedical engineering. Publication analysis reveals concentration on sustainable IoT implementations, with his 2019 study establishing foundational work in smart building energy management. Current projects extend this trajectory into medical diagnostics through development of an obstructive sleep apnea syndrome detection system using PPG signal processing. Scientific awards: None documented in available records. Research funding includes institutional projects on smart building energy management and sleep apnea diagnosis systems. No student advisement activities or external grant acquisitions are indicated in the provided documentation. Institutional records show no laboratory affiliations or team leadership roles beyond project participation.

Ahmet ARSLANمشاهده پروفایل

پژوهشگر

• Image Processing
• Artificial Intelligence
• Computer Engineering

Dr. Ahmet ARSLAN is a Researcher at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. His academic work focuses on software engineering principles and their applications in computer engineering. Doctorate (2012) - Sakarya University, Institute of Science/Computer and Information Engineering MSc (2012) - Sakarya University, Institute of Science/Computer and Information Engineering BSc (2009) - Sakarya University, Faculty of Engineering/Department of Computer Engineering He specializes in Image Processing and Artificial Intelligence , with a particular interest in applying strategic analysis frameworks to technology infrastructure development. His 2010 research presented at international congresses examined technology corridors through SWOT analysis, contributing to regional development strategies. Research trends indicate a focus on software cohesion metrics and strategic technology planning, with interdisciplinary implications for sustainable development goals. His work has been presented at international academic conferences, including the 2010 presentation on technology corridor analysis.

Hüsrev YUMUŞAKمشاهده پروفایل

پژوهشگر

• Computer Engineering
• Computer Science
• Artificial Intelligence
• +۳ مورد دیگر

Hüsrev YUMUŞAK is an Academic Research Assistant at Yildiz Technical University, affiliated with the Faculty of Computer and Information Sciences and the Department of Computer Engineering. His academic profile centers on computer engineering disciplines within Turkey's higher education framework. His educational qualifications include: Doctorate (2021) in Computer Engineering from Yildiz Technical University Institute of Science Licence (2017–2021) in Computer Engineering from Yildiz Technical University Faculty of Electrical and Electronics His research spans Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, and Data Science, reflecting engagement with both theoretical foundations and applied computational technologies. These interests align with contemporary computing challenges and sustainable development applications in technical education. No scientific awards were documented in the source materials. Information regarding student mentorship, research grants, or project funding remains unspecified in available records. Details about laboratory affiliations, research teams, or collaborative initiatives were not provided in the scraped content.

Özgür Çiftçiمشاهده پروفایل

پژوهشگر

• Enterprise Architecture
• Role Management
• Access Control
• +۲ مورد دیگر

Özgür Çiftçi is a Researcher in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has served since 2010. Previously, from 2000 to 2010, he held the same position in the Department of Computer Engineering at the Faculty of Engineering of the same institution. His educational background includes: PhD in Computer and Information Engineering from Sakarya University (2007–2020), with a dissertation titled "Role Management in Enterprise Architectures". Bachelor's degree in Industrial Engineering from Sakarya University's Faculty of Engineering (1993–1998). Dr. Çiftçi's research centers on enterprise architecture frameworks, role-based access control systems, and secure software design. His doctoral work established foundational contributions to role management methodologies within complex enterprise environments, demonstrating consistent focus on system security and architectural optimization throughout his career. No scientific awards were documented in the source material. Information regarding graduate student supervision, research grants, or external funding sources was not provided in the available records. Details about laboratory affiliations, research teams, or collaborative projects were absent from the extracted text.

CESUR BARANSELمشاهده پروفایل

استاد

• Computer Science and Engineering
• Machine Learning
• Artificial intelligence
• +۵ مورد دیگر

Professor Cesur Baransel is a faculty member in the Computer Engineering Department at Gaziantep University's Faculty of Engineering in Turkey. With expertise spanning computer science, machine learning, artificial intelligence, and image processing, he has established himself as a prominent researcher with contributions across multiple disciplines. Education: Doctorate (1990-1994): Department of Computing Science, University of Alberta, Canada Degree (1985-1988): Department of Computer Science Engineering (Computer Hardware), Hacettepe University, Turkey Licence (1981-1985): Department of Computer Science Engineering, Hacettepe University, Turkey Professor Baransel's research spans multiple domains with particular emphasis on parallel computing algorithms, network protocols, and more recently, applications of machine learning in bioinformatics and decision science. His early work focused on efficient routing algorithms and parallel matrix multiplication for high-performance computing architectures, especially torus networks. Over time, his research has expanded to include information-theoretic approaches in genetics, drug-target interaction prediction using autoencoders, and neutrosophic decision-making frameworks for drone selection. His publications demonstrate a remarkable evolution from fundamental computer architecture research to increasingly interdisciplinary applications across healthcare, finance, and industrial engineering. Professional Experience and Projects: Professor at Gaziantep University (2018-present) Extensive industry experience including positions at Saltus Yazılım, Likom PD, and Netaş from 1986-2009 Three major research projects completed: Optical Ore Sorting System, Computerized Jacquard Control System, and Mass Balancing Software for Cement Factories Author of five books and book chapters covering mathematical methods in engineering, parallel computing, and software architectures

Sadettin Kapucuمشاهده پروفایل

استاد

• Mechanical Engineering
• Robotics
• Mechatronics
• +۱۱ مورد دیگر

Sadettin Kapucu is a Professor at the Department of Mechanical Engineering , Faculty of Engineering , Gaziantep University , Turkey. With over 30 years of academic experience, he specializes in robotics, mechatronics, TRIZ-based inventive problem-solving, and vibration control systems. His career spans roles from Research Assistant (1987-1990) to Professor (2006-present) at Gaziantep University, and he has served as Head of the Mechanics and Dynamics Division since 2016. His educational background includes a PhD (1994) and MS (1990) in Mechanical Engineering from Gaziantep University and METU, respectively. PhD: Gaziantep University (1994) MS: Middle East Technical University (1990) BS: Middle East Technical University (1987) Kapucu’s research focuses on robot dynamics , TRIZ methodology , flexible systems control , and mechatronic design . He has pioneered techniques like hybrid input shaping for vibration suppression and variable stiffness actuators for rehabilitation robotics. His work bridges theoretical innovation and practical applications in industrial, medical, and agricultural robotics. Scientific achievements include the 2019 2nd Best Paper Award at ICICT 'xx19 and the 2009 Elginkan Foundation Technology Award . He has supervised over 18 graduate theses and secured 13 research grants, including TÜBİTAK-funded projects on olive oil processing and telehandler design.

• Computer Science and Engineering
• Software Engineering
• Artificial Intelligence
• +۲ مورد دیگر

Emine Ekin is a Lecturer and Head of the Computer Engineering Department at Işık University's Faculty of Engineering and Natural Sciences. She holds a PhD in Computer Engineering from Dokuz Eylül University (2000-2006), an MSc in Computer Engineering from Izmir Institute of Technology (1996-1999), and a BSc in Electrical and Electronics Engineering from Dokuz Eylül University (1991-1995). Research Focus: Her work spans Computer Science and Engineering, Software Engineering, and Artificial Intelligence, with specific projects including the development of an Artificial Intelligence Laboratory, novel optimization methods, and autonomous vehicle systems. Her teaching portfolio covers core CS topics like Object-Oriented Programming, Database Systems, and Human-Computer Interaction. Student Advising: She has supervised 8 graduate theses on emerging topics such as NLP-driven survey analysis, cryptographic security, multi-task learning for mental health detection, and autonomous navigation. She currently leads the Artificial Intelligence Laboratory for research and education. Awards: No scientific awards mentioned in available records.

• Solar Energy
• Renewable Energy Systems
• Thermal Energy Storage
• +۷ مورد دیگر

Prof. Dr. İlker Tari is a distinguished academic in Mechanical Engineering, currently serving as a Professor at FMV Işık University , Istanbul, Turkey. Previously, he held a Professor position at Middle East Technical University (METU) from 1998-2022 and served as Visiting Professor at Technische Univ. München (2010-2012). His research focuses on Solar Energy Applications , Thermal Energy Storage , and Computational Heat Transfer . Education: PhD, Mechanical Engineering - Northeastern University (1998) SM, Nuclear Engineering - MIT (1994) MS, Nuclear Engineering - University of Michigan (1991-1994) BS, Nuclear Energy Engineering - Hacettepe University (1983-1987) Research Interests: His work specializes in: Solar Energy Systems for industrial applications and hybrid storage Thermal Management of electronics and fuel cells Radiative Transfer modeling in particulate media Fluidized Bed Technologies for energy storage Computational Fluid Dynamics (CFD) and DEM methods 3D Printing Applications in mechanical systems Scientific Contributions: Recent publications focus on: Advanced solar cooling systems Hybrid energy storage with phase change materials Mechanical properties of particle beds CFD-DEM integration for thermal modeling Optimization of industrial solar hybridization Renewable energy system analysis Student Supervision: Has supervised over 40 graduate theses including: Furkan Enes Yıldırım - 2025 Deniz Değirmenci - 2022 Ender ÖZDEN - 2015 Mehdi MEHRTASH - 2017 Özgür BAYER - 2009 Ömer EMRE ORHAN - 2007 Key Projects: EU H2020 INSHIP (2017-2020) TUBITAK 217M062 Solar Dryer (2017-2020) EU H2020 SFERA-III (2019-2023) EU H2020 SolarTwins (2020-2023) ECOSun Solar-ERANET (2020-2023) InnoSolPower CSP-ERANET (2021-2024) Professional Affiliations: President, International Center for Heat and Mass Transfer (2019) Member, Turkish Cogeneration Association (2021) Member, Turkish Thermal Science and Technology Association (2018) Member, American Society of Thermal and Fluids Engineers (2015)

• Computer Science
• Computational Linguistics
• Natural Language Processing
• +۳ مورد دیگر

Berke Özenç is a full-time Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences, Işık University. He teaches core computer science courses including Computer Networks, Android Programming, Microprocessors, Computer Organization, Data Structures and Algorithms, and Object Oriented Programming across multiple academic periods from 2023-2025. His educational qualifications include: PhD in Computer Engineering from Işık University Institute of Science (2018-2025) Master's Degree in Computer Engineering with thesis from Işık University Institute of Science (2016-2018) Bachelor's degree in Software Engineering from Işık University Faculty of Engineering (2011-2016) with 50% scholarship Dr. Özenç's research centers on computational linguistics for Turkic languages, specializing in morphological analysis of Turkish and Azerbaijani Turkish. His work integrates computer science with linguistic theory to develop tools like morphological analyzers and explore syntactic structures. Key contributions include visual modeling techniques, finite-state transducer implementations, and systematic studies of morphotactics for grammatical categories like person and tense. No scientific awards were documented in the source materials. Regarding academic mentorship and research funding, the available information does not specify any graduate students, advising relationships, or grant acquisitions.

• Engineering
• Computer Science and Engineering
• Computer Software
• +۳ مورد دیگر

Elif Deniz Yelmenoğlu is a full-time Lecturer in the Department of Information Technologies at Istanbul Kültür University's Faculty of Economics, Administrative and Social Sciences. Her academic work bridges computational techniques with interdisciplinary applications. Education: PhD in Computer Engineering from Sakarya University (2015-2022) MSc in Computer Engineering (with thesis) from Selçuk University's Institute of Science (2011-2014) BSc in Computer Science from Selçuk University's Faculty of Engineering (2007-2011) Research Interests: Dr. Yelmenoğlu's research spans computer science, software engineering, image processing, and optimization algorithms. Her work focuses on computational techniques like artificial bee colony algorithms and hybrid optimization methods for tasks such as edge detection and saliency detection in aerial imagery. Academic Role: She is affiliated with the Faculty of Economics, Administrative and Social Sciences, contributing to teaching and research in information technologies.

• Computer-Aided Design
• Additive Manufacturing
• Machine Learning
• +۵ مورد دیگر

Dr. Murat AYDIN is a full-time Assistant Professor (Dr. Lecturer) at Karabük University, Faculty of Technology, Department of Industrial Design Engineering, where he has also served as Vice-Dean since 2022 and Head of Department since 2021. His entire academic career since 2008 has been spent at Karabük University and briefly at Düzce University. Education PhD in Mechanical Education, Karabük University, 2019 MSc in Mechanical Education, Karabük University, 2009 BSc in Design & Construction Teaching, Bülent Ecevit University, 2006 Associate Degree in Technical Programs, Selçuk University, 2003 Research Interests His work centres on the intersection of digital design and manufacturing, spanning computer-aided design & manufacturing , additive manufacturing , machine learning , image processing , and finite-element analysis . Within these themes he investigates process optimisation, mechanical characterisation of printed parts, formability of sheet metals, and advanced sensing techniques such as digital image correlation. Across 41 publications and 33 conference presentations from 2008 to 2024, a clear evolution is visible: early studies on hydraulic sheet-metal forming have gradually expanded to embrace 3D printing, composite filaments, and machine-learning-driven design optimisation, positioning him at the forefront of Industry 4.0-oriented research. Scientific Recognition & Service Associate Editor, International Journal of 3D Printing Technologies and Digital Industry (2022–present) Editorial board member and frequent organiser of national & international congresses on 3D printing and industrial design Peer reviewer for Journal of Cleaner Production and other leading journals Advising & Funding He currently supervises four master’s students on topics ranging from medical-device prototyping to the use of 3D printing in composite aerated-concrete production. His research has been funded by five competitive grants, including two TÜBİTAK-supported national projects (total ≈ ₺1.8 M) and an EU-UNESCO project on 3D printer design curricula. Laboratory & Team He leads the Additive Manufacturing & Digital Design Laboratory at Karabük University, a facility equipped with multi-material FDM printers, high-resolution DIC systems, and tensile-testing rigs, hosting a multidisciplinary team of graduate researchers and industry collaborators.

• Medical Biology
• Machine Learning Applications in Medicine
• Medical Imaging Analysis
• +۳ مورد دیگر

Muhammed Kamil Turan is an Associate Professor at Karabük University, Faculty of Medicine, Department of Basic Medical Sciences Medical Biology . He has held leadership roles including Deputy Dean (2013-2020) and Program Coordinator (2012-present). PhD in Medical Biology (2011) from Ondokuz Mayıs University Master's in Computer Engineering (2004) from Karabük University Medical Degree (2000) from Ondokuz Mayıs University His research focuses on machine learning applications in medical biology , with particular emphasis on sex/gender determination from CT images , DNA damage analysis , and automated biomedical imaging systems . He has developed innovative solutions for peripheral blood smear analysis, retinal microaneurysm detection, and low-cost medical device design. Recent research trends show strong integration of artificial intelligence in diagnostic imaging (cranial/pelvic CT analysis), bioinformatics (protein structure prediction), and biomedical instrumentation (automated microscopes, DNA electrophoresis systems). His 2025 work explores fractal network graphs in medical contexts. He serves as principal advisor for 11 graduate students and collaborates extensively with researchers across Turkey. His projects often involve TÜBİTAK/TÜBA funding , with recent work on cold plasma applications in wound healing and gastric ulcer treatment.