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Mehmet TONGURView profile

Lecturer

• CAD/CAM
• CNC Machining
• Composite Materials
• +4 more

Mehmet TONGUR is a Lecturer at Kırşehir Ahi Evran University's Kaman Vocational School, Department of Machinery and Metal Technologies. He combines industrial experience with academic expertise in CAD/CAM, CNC machining, and composite materials. His work bridges advanced manufacturing techniques with material science. PhD in Mechanical Engineering (2020), Necmettin Erbakan University MSc in Mechanical Engineering (2018-2020), Necmettin Erbakan University BSc in Mechanical Engineering (2009-2014), Atatürk University His research focuses on production technologies , machine design , and optimization techniques . Key interests include machinability of composite materials, tool wear analysis, and computer-aided engineering solutions. Recent publications highlight work on nanoparticle-doped adhesives and thermal properties of hybrid composites , reflecting his expertise in enhancing material performance for automotive and defense industries. Collaborated with Necati ATABERK on studies of hybrid polyurethane adhesives and thermal characteristics of nanocomposites Participated in two university-supported scientific research projects (2019-2020 and 2022) addressing composite material machining and adhesive properties

• Robotics
• Mechatronic System Design
• Computer Aided Design and Manufacturing
• +1 more

Cüneyd DEMİR is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, Department of Computer Technologies. He has held this position since 2019 and was promoted to Doktor Öğretim Görevlisi (Lecturer with PhD) in 2024. His administrative roles include Department Head (2021-2023), Vice Director of the Vocational School (2021-present), and membership in university committees (Quality Board, Management Council). He holds a PhD in Industrial Design Engineering from Gazi University (2020-2024), an MSc in Defense Technologies from Kırıkkale University (2015-2017), an MSc in Occupational Health and Safety from Aksaray University (2019), and a BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015). His research focuses on Robotics , Mechatronic System Design , Computer-Aided Design/Manufacturing (CAD/CAM) , and Artificial Intelligence , with emphasis on unmanned ground vehicles (UGVs), defense systems, renewable energy integration, and AI-driven design methodologies. Publications primarily explore UGV design using machine learning, solar-powered autonomous systems, and material science for robotics. Recent works demonstrate strong trends in AI/neural network applications for defense technology and systematic design processes. He contributed to the TÜBA/TÜBİTAK-supported project: "Güneş Enerjisi İle Uçuş Süresi Artırılmış Otonom Model Uçak" (Solar-Powered Autonomous Model Aircraft with Extended Flight Duration, 2014-2015) as a researcher.

• Graphic Design
• Artificial Intelligence in Education
• Mass Culture Studies
• +2 more

Yusuf İslam SÜRÜCÜ serves as a full-time Lecturer at Kırşehir Ahi Evran University's Mucur Vocational School within the Department of Audiovisual Techniques and Media Production since 2017, concurrently holding the position of International Relations Office Coordinator at Ahi Evran University since 2023. His academic profile integrates vocational teaching with research at the intersection of design and computational methodologies. His educational qualifications include a Master's degree in Advanced Technologies (2019-2021) from Kırşehir Ahi Evran University's Institute of Science, where his thesis focused on Classification of university students' live lecture viewing status using transfer learning method , and a Bachelor's degree in Printing Education (2002-2008) from Gazi University's Faculty of Technical Education. Dr. SÜRÜCÜ's primary research domain is Graphic Design, explicitly documented in institutional records. His scholarly trajectory significantly extends into Artificial Intelligence applications for educational analytics, particularly through machine learning approaches to student engagement monitoring. Complementary research interests include Mass Culture Studies and Identity Studies, evidenced by his interdisciplinary book chapter. His work demonstrates consistent methodological innovation in applying computational techniques to solve practical problems in visual communication and educational contexts. His 2023 publication establishes a clear research trajectory toward AI-driven educational analytics, specifically utilizing transfer learning for real-time classification of student attendance patterns in live sessions. This work represents both a continuation of his master's thesis methodology and an expansion into practical classroom applications, indicating sustained focus on bridging theoretical AI frameworks with vocational education challenges. Though he has not supervised any graduate students, Dr. SÜRÜCÜ participated as a researcher in the university-funded project MUCUR MYO GÜNEŞ ENERJİSİ İLE ELEKTRİK ÜRETİMİ (Mucur Vocational School Solar Energy Electricity Production) from 2018-2020. His teaching portfolio encompasses 18 vocational courses including Visual Design I/II, Desktop Publishing, Computer-Aided Graphic Design, and Pre-press Preparation across multiple academic years.

KÜBRA UYARView profile

Lecturer

• Artificial Intelligence
• Computer Vision
• Medical Image Analysis
• +2 more

KÜBRA UYAR is a Lecturer at Alanya Alaaddin Keykubat University's Rafet Kayış Faculty of Engineering, Department of Computer Engineering. She previously worked as a Research Assistant at Selçuk University's Faculty of Technology (2022-2023) and continues her academic contributions in image processing and artificial intelligence. PhD in Computer Engineering (2022), Selçuk University MSc in Computer Engineering (2017), Selçuk University BSc in Computer Engineering (2014), Melikşah University Double Major in Mathematics (2014), Melikşah University Her research focuses on Artificial Intelligence , Computer Vision , and Medical Image Analysis , with a strong emphasis on Machine Learning and Image Processing . Current work includes developing explainable AI models for retinopathy diagnosis and optimizing CNN architectures for biomedical applications. Recent publications highlight trends in Deep Learning for agriculture (chestnut classification), Medical Imaging (retinopathy, leukocyte detection), and Optimization (CNN hyperparameters, B-spline algorithms). Her work bridges Computer Science with Healthcare and Industrial Applications . Key projects include the Data-Intensive and Computer Vision Research Laboratory Infrastructure Project (2020-2021) and the Selçuk University Weather Monitoring System (2018-2020), both funded by higher education institutions.

• Robotics
• Control Systems
• Electrical Engineering
• +4 more

Özcan ÇETİNKAYA is an Assistant Professor at Keşan Vocational School , Trakya University, where he has held academic and administrative roles since 2008, including Head of the Electricity and Energy Department since 2018 and Deputy Director since 2009. Education: High School: Kırklareli Technical High School, Electrical Department (2000, School Topper) BSc: Marmara University, Electrical Education (2004) BSc: Trakya University, Faculty of Engineering, Electrical and Electronics Engineering (2020) MSc: Trakya University, Mechanical Engineering (2009) PhD: Trakya University (2017) Research Interests: Robotics, control systems, and automation technologies. His work focuses on robot arm kinematics, microcontroller applications, and environmental sensor systems. He designs cost-effective solutions for industrial automation, unmanned aerial vehicles, and embedded systems. Publication Trends: His research spans robotics (kinematic control, Sumo robots), sensor systems (temperature, humidity, water level logging), and automation (PLC programming, motor control). Recent work includes IoT-enabled data logging and unmanned aerial vehicle design. Projects: He leads the ongoing Design and Experimental Research of Unmanned Aerial Vehicles (TUBAP 2014/112) and completed Electronics Laboratory and Robot Arm Design projects. Certifications: Includes Class C Occupational Safety Specialist (2013), Siemens PLC programming courses (2009), and Schneider Electric electrical installation training (2010).

• Tribology
• Materials Science
• Manufacturing Engineering
• +3 more

Mehmet CEVİZ serves as a Lecturer at Trakya University's Kesan Vocational School, where he has held academic positions since 2020, initially as an Instructor and advancing to Instructor Doctor following his 2021 PhD completion. His teaching portfolio spans core mechanical engineering disciplines including Computer Aided Drawing, Manufacturing, Thermodynamics, and Occupational Health and Safety across vocational curriculum. His academic foundation comprises comprehensive mechanical engineering training: a 2021 PhD and 2015 Master's in Mechanical Engineering from Trakya University, a 2012 Bachelor's from Hitit University, complemented by earlier vocational qualifications from Trakya University and Edirne Technical High School. CEVİZ's research centers on tribological phenomena and advanced manufacturing processes, with particular emphasis on temperature-dependent wear mechanisms in metallic alloys, surface engineering solutions for industrial components, and computational modeling of forming processes. His experimental work frequently combines finite element analysis with empirical validation to address real-world manufacturing challenges in valve production and aerospace materials. Analysis of his 2021-2023 publications reveals a concentrated focus on dry sliding friction behavior under thermal stress, hot forging defect mitigation, and composite material development - demonstrating consistent application of both experimental and numerical methodologies to solve industrial-scale material performance problems. No scientific awards were documented in the source materials. While his teaching responsibilities encompass 12 distinct mechanical engineering courses, no student advising relationships or research grants were specified in the provided documentation. The materials indicate active engagement in research but do not reference specific laboratories, research teams, or collaborative groups beyond co-authorship patterns.

Nejat YUMUŞAKView profile

Professor

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +5 more

Prof. Nejat YUMUŞAK is a full Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has built his academic career since 1995. His progression includes roles as Research Assistant (1993-1998), Assistant Professor (1998-2004), Associate Professor (2005-2011), and Professor (2011-present). Education PhD in Electrical-Electronics Engineering, Sakarya University (1995-1998) Thesis: Analysis of Power System Circuit Elements Using Artificial Neural Networks MSc in Electrical-Electronics Engineering, Dumlupinar University (1994-1995) Thesis: Calculation and Measurement of Transformer Parameters at High Frequencies BSc in Electrical-Electronics Engineering, Istanbul Technical University (1989-1993) Research Focus Prof. YUMUŞAK's research integrates artificial intelligence with multidisciplinary applications. Primary domains include: Bioinformatics & Medical AI : Developing deep learning models for COVID-19 mutation prediction, leukemia classification via blood smear analysis, and gastrointestinal anomaly detection using endoscopic data. Signal Processing & Security : Advancing acoustic event detection for security systems and vulnerability testing through intelligent fuzzing techniques. Optimization & Industrial Applications : Creating metaheuristic algorithms (e.g., enhanced Wild Horse Optimizer) for energy efficiency and Industry 4.0 digitalization. Publication Trends His recent articles (2022-2025) demonstrate strong emphasis on transformer architectures for virology, ensemble methods for medical diagnostics, and CNN/LSTM networks for genomic and acoustic data analysis. Over 50% of recent works focus on healthcare applications, particularly cancer and pandemic-related prediction models. Contact & Recognition Contact via nyumusak@sakarya.edu.tr or phone (0264) 264 58 94. His work has received 793 citations (Web of Science) with an H-index of 14.

Feyza SELAMETView profile

Assistant Professor

• Deep Learning
• Computer Vision
• Electromagnetic Pollution Analysis
• +3 more

Feyza SELAMET serves as Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where she has held academic positions since completing her PhD in Computer Engineering in 2023. Her institutional roles include research and teaching within Turkey's national higher education framework. Her academic foundation includes: Bachelor of Science in Computer Engineering, Sakarya University (2009-2013) Master of Science in Computer Engineering, Sakarya University (2013-2015) - Thesis: Electromagnetic pollution analysis with K-means algorithm Doctor of Philosophy in Computer Engineering, Sakarya University (2015-2023) Research focuses on deep learning applications spanning industrial computer vision systems and biomedical image analysis. Her work pioneers automated defect detection in metallic manufacturing processes and develops neural network architectures for dermatological diagnostics. Complementing this, she conducts environmental health research analyzing electromagnetic field exposure from telecommunications infrastructure and renewable energy installations using advanced data mining methodologies. Publication trends reveal a strategic shift from electromagnetic pollution studies (2015-2017) toward deep learning specialization (2020-2023). Early work established frameworks for measuring radiation exposure in urban and industrial settings, while recent publications demonstrate expertise in real-time defect classification systems and medical imaging pipelines using convolutional neural networks. She leads the research project Metalik parçaların bilgisayar görmesi ile kalite kontrolünün sağlanması (Quality Control of Metal Parts via Computer Vision) targeting industrial automation applications. No graduate student advisement records appear in current institutional documentation.

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.

Ali Coşkun DalgıçView profile

Professor

• Food Engineering
• Food Biotechnology
• Food Processing Optimization
• +3 more

Professor Ali Coşkun Dalgıç is a faculty member at Gaziantep University, Faculty of Engineering, Department of Food Engineering. His career spans over three decades, including roles as Assistant Professor (2000-2013), Associate Professor (2014-2019), and full Professor since 2019. Education: PhD in Food Engineering (Gaziantep University, 1990-1998), MSc in Food Engineering (1988-1990), BSc in Food Engineering (Middle East Technical University, 1984-1988) His research focuses on food biotechnology , drying technologies , and process optimization . Key areas include astaxanthin biosynthesis from agricultural waste, combined solar-radio frequency drying systems, and food safety management in traditional food processing. Scientific contributions include 28 peer-reviewed articles and 5 authored books on topics like computer-aided food processing, microbiology, and safety management. He has supervised 2 PhD theses and 10 Master's theses on subjects ranging from gluten-free food formulation to waste valorization. Projects span national and international grants , including TÜBİTAK-funded research on apricot drying systems, European Union collaborations on food legislation training, and waste-to-value bioprocessing initiatives.

Serkan ÖzbayView profile

Associate Professor

• Electrical and Electronics Engineering
• Signal Processing
• Computer Vision
• +4 more

Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).

• 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.

Erhan BudakView profile

Professor

• Manufacturing processes
• Machining and machine tools
• Machine dynamics
• +5 more

Erhan Budak is a Professor at Sabanci University's Faculty of Engineering and Natural Sciences, specializing in manufacturing engineering. With a Ph.D. in Mechanical Engineering from the University of British Columbia, he has held academic positions since 1994 and founded Maxima Manufacturing R&D in 2008. His work focuses on machining dynamics, tool design, and manufacturing process optimization. Sabanci University (2011-Present: Professor; 2004-2011: Associate Professor; 2000-2004: Assistant Professor) Pratt & Whitney Canada (1994-2000: Manufacturing R&D Engineer) Founder of Maxima Manufacturing R&D (2008) Research Interests: Manufacturing processes, machining dynamics, tool design optimization, chatter stability analysis, virtual manufacturing systems, and thermo-mechanical modeling. His publications demonstrate expertise in 5-axis milling, process damping, and industrial applications. Scientific Contributions: Developed analytical methods for chatter stability prediction Innovative tool design approaches for increased productivity Advancements in 5-axis machining simulations Thermo-mechanical force modeling Process damping identification techniques Awards: CIRP Taylor Medal (2003) Outstanding Achievement Award from Pratt & Whitney Canada (1998) Multiple scholarships from UBC and TUBITAK Industrial Applications: Collaborates with Maxima Ltd. for implementing research outcomes in manufacturing environments. Maintains editorial roles with CIRP Journal, International Journal of Advanced Manufacturing Technology, and Journal of Machining Science and Technology.

Alaattin KaçalView profile

Professor

• CAD/CAM
• Computer-aided design and manufacturing
• Machining
• +6 more

Professor Alaattin Kaçal is a distinguished academic at Kütahya Dumlupınar University's Simav Faculty of Technology, where he serves as Professor of Mechanical Engineering. With a career spanning over two decades, he has progressed through the academic ranks from Research Assistant to his current position as Professor, while also taking on significant administrative responsibilities including Director of Simav Vocational School and Head of Department. Professor Kaçal's educational background includes a Bachelor's degree in Mechanic Education (1994-1998), Master's degree in Mechanical Education (1999-2002), and PhD in Machine Training (2003-2008), all completed at Turkish institutions. His academic journey has been primarily centered at Dumlupınar University, with a notable period at Gazi University during his doctoral studies. His research focuses on CAD/CAM, machining processes, cutting mechanics, and the machinability of engineering materials, with recent emphasis on additive manufacturing technologies. Professor Kaçal has led multiple significant research projects investigating drilling and milling of advanced materials, particularly titanium alloys produced through additive manufacturing methods. With 44 publications to his name, his recent work demonstrates consistent scholarly output in areas related to surface roughness analysis, tool wear mechanisms, and sustainable machining techniques using Minimum Quantity Lubrication. His research employs experimental methodologies combined with statistical analysis, frequently utilizing Taguchi method and increasingly incorporating artificial intelligence techniques for modeling and prediction. As an educator, Professor Kaçal teaches core mechanical engineering courses including Computer-Aided Manufacturing, Manufacturing Technologies, and Machinability of Engineering Materials, while supervising graduate thesis work. His administrative roles reflect his leadership within the institution, contributing to both academic and operational aspects of the faculty.

• Machine Learning
• Data Mining
• Educational Technologies
• +7 more

Mustafa Yağcı is a Professor in the Department of Computer Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture. He holds a PhD in Electronics and Computer Education from Sakarya University and has dedicated his career to educational technology, machine learning, and data mining. Education : PhD (2012), MSc (2005), BSc (1996) in Electronics/Computer Education Current Role : Professor (2024-), Department Chair, Academic Council Member Research Interests : His work bridges machine learning and educational technologies , focusing on computational thinking and adaptive learning systems . Notable projects include: Brain-Computer Interface for Stroke Patients Deep Learning for Tumor Detection Real-Time Face Mask Detection Scientific Impact : With over 1600 citations (h-index:16), he has published 72 articles and led 33 research projects. Awards include TÜBİTAK's Publication Incentive and Research World's Excellent Paper Award. Advising : Supervised 10 Master's theses on topics like CNN-based facial recognition and smart home security systems . Collaborated with researchers across Turkey, Egypt, and Iraq.