Find Academic Supervisors

Ünal ÇAVUŞOĞLUView profile

Associate Professor

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +6 more

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.

Ali GÜLBAĞView profile

Associate Professor

• Machine Learning
• Artificial Neural Networks
• FPGA Design
• +3 more

Assoc. Prof. Dr. Ali GÜLBAĞ is an academic at the Faculty of Computer and Information Sciences , Sakarya University , specializing in Computer Engineering . His career spans over two decades, focusing on FPGA-based hardware design, machine learning applications, and educational methodologies in computer architecture. Doctorate (2003-2006): Quantitative determination of volatile organic compounds using artificial neural network and fuzzy logic-based algorithms MSc (1998-2000): Building automation using telephone lines BSc (1994-1998): Electrical-Electronics Engineering His research interests include Artificial Neural Networks , FPGA Design , and Water Resource Management , with applications in seismic event differentiation, environmental modeling, and educational technologies. Recent work emphasizes water consumption prediction using machine learning. Key projects: BZK.SAU.FPGA microcomputer architecture , Remote FPGA laboratories Publications demonstrate expertise in combining machine learning techniques (ANNs, gradient boosting, random forests) with hardware implementations for real-world problem-solving.

Levent ÇALLIView profile

Associate Professor

• Data Science
• Machine Learning
• Service Quality
• +5 more

Assoc. Prof. Dr. Levent ÇALLI is an academic at Sakarya University , Faculty of Computer and Information Sciences, Department of Data Science and Analytics. He holds a Doctorate in Production Management and Marketing (2010) and a Post-Doctorate at University of Portsmouth (2014). Academic Rank: Associate Professor (since 2011) Previous Roles: Research Assistant (2008-2011) in Information Systems Engineering, Distance Education Application and Research Center (2004-2008) Research Interests center on data science applications in service quality, technology adoption, and digital transformation. His work employs machine learning , text mining , and topic modeling to analyze customer behavior in sectors like aviation, hospitality, and mobile banking. Recent publications focus on sustainable urban transport and service robotics . Article Trends show a strong focus on machine learning (2016-2025) and technology adoption (2014-2022). Key topics include service robot integration , customer churn analysis , and digital maturity in SMEs. Scientific Awards include: Best Paper - International Joint Conference on Hospitality & Tourism 2021 Sakarya Üniversitesi Bilim Ödülleri - 2025 Academic Duties involve teaching Electronic Commerce , International Marketing , and Database Systems , alongside supervising TÜBİTAK-funded student projects on AI applications in agriculture and logistics.

Baran KaynakView profile

Assistant Professor

• Cloud Manufacturing
• Blockchain Technology
• Resource Allocation
• +5 more

Baran Kaynak serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 2013 (promoted from Lecturer to Assistant Professor in 2022). His institutional affiliation spans teaching, research, and project leadership within Turkey's higher education framework. His educational trajectory culminates in a Doctorate in Industrial Engineering from Sakarya University (2012-2021) with thesis work on Blockchain-Based Cloud Manufacturing Model , preceded by a Master's degree (2011-2013) focusing on wireless sensor networks in manufacturing logistics and a Bachelor's in Industrial Engineering (2007-2011) from the same institution. Dr. Kaynak's research integrates cloud computing, blockchain, and AI to solve industrial and environmental challenges. Core contributions include hybrid decision support systems for cloud manufacturing resource allocation using genetic algorithms and AHP, GPU-accelerated solar potential analysis tools, and custom web components for earth science data (e.g., Geo-WC for NOAA/USGS integration). His work bridges theoretical algorithms with practical implementations in manufacturing, renewable energy, and hydrological systems. Recent publications (2023-2025) reveal expanding applications: digital twin frameworks for urban flood analysis, IoT platforms for hydrological education (HydroSignal), and mmWave sensor-based anomaly detection in assembly lines. These works consistently demonstrate cross-disciplinary innovation, particularly in adapting blockchain for secure resource sharing and developing real-time analytics for environmental monitoring. He leads the UZEP project (2020), a Sakarya University-funded cloud-based distance education platform developed during the pandemic. While no formal student advisees are listed, his research includes student consultancy services using AI for course grade prediction and adaptive neuro-fuzzy systems for academic success modeling. Dr. Kaynak collaborates with Sakarya University's Distance Education Research and Application Center and contributes to open-source tools for earth science organizations. His current work focuses on city-scale digital twins for climate resilience and blockchain-enhanced manufacturing ecosystems, positioning him at the intersection of industrial informatics and sustainable technology development.

Gözde YOLCU ÖZTELView profile

Assistant Professor

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +5 more

Gözde YOLCU ÖZTEL serves as Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences. With a Ph.D. in Computer and Information Engineering completed in 2019, she has established herself as an active researcher in artificial intelligence with significant contributions to computer vision applications. Her educational journey includes: Ph.D. in Computer and Information Engineering (2014-2019) with thesis on deep learning-based interest detection through facial analysis M.Sc. in Computer and Information Engineering (2012-2014) focusing on Kinect-based virtual mirror design B.Sc. in Computer Engineering (2007-2011) from Sakarya University Dr. YOLCU ÖZTEL's research bridges deep learning with practical healthcare and public safety applications. Her work demonstrates exceptional adaptability to emerging challenges, particularly in developing AI systems for pandemic response (masked face detection, social distancing monitoring) and medical diagnostics (monkeypox/skin lesion classification). She specializes in creating efficient mobile-compatible deep learning models that maintain accuracy while operating on resource-constrained devices. Analysis of her 15 most recent publications reveals a clear trajectory toward healthcare-oriented computer vision, with increasing focus on mobile medical applications since 2020. Her research consistently combines novel deep learning architectures with real-world implementation constraints, particularly smartphone deployment. The integration of traditional computer vision techniques (like LBP) with modern deep networks represents a distinctive methodological signature across her work. She actively contributes to research through TÜBİTAK 2209 projects as student advisor and leads institutional research initiatives including SAYZEK-ATP (2024) and MAG Engineering Research Support Group. Her project portfolio spans from mathematical assistant software development to emergency drone-based object detection and MRI-based brain tumor classification. Dr. YOLCU ÖZTEL teaches core software engineering courses including Database Management Systems, Artificial Intelligence Fundamentals, and Data Mining while maintaining active research output. She previously organized the 2017 Facial Expression Recognition workshop, demonstrating ongoing commitment to academic community building.

Kayhan AYARView profile

Assistant Professor

• Virtual Reality
• Information Security and Cryptology
• 3D Computer Graphics
• +3 more

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 OĞURView profile

Assistant Professor

• Depression
• machine learning
• Anxiety
• +7 more

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 CANAYView profile

Assistant Professor

• Information Systems
• Web Mining
• Data Analytics
• +6 more

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 BayraktarView profile

Researcher

• Internet of Things
• Wireless Networks
• Smart Buildings
• +3 more

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.

Hüsrev YUMUŞAKView profile

Researcher

• Computer Engineering
• Computer Science
• Artificial Intelligence
• +3 more

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.

CESUR BARANSELView profile

Professor

• Computer Science and Engineering
• Machine Learning
• Artificial intelligence
• +5 more

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 KapucuView profile

Professor

• Mechanical Engineering
• Robotics
• Mechatronics
• +11 more

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.

• Solar Energy
• Renewable Energy Systems
• Thermal Energy Storage
• +7 more

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-Aided Design
• Additive Manufacturing
• Machine Learning
• +5 more

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
• +3 more

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.