Doç. Dr. Gökhan Serhat Duran is an Associate Professor and currently serves as the head of the Department of Orthodontics at Çanakkale Onsekiz Mart University Faculty of Dentistry. He earned his dental degree from İstanbul University (2005) and completed his orthodontic specialization at Gülhane Military Medicine Academy (2015). His academic career includes military service (2007–2011) and attaining his associate professorship in 2020. Research Focus: Digital orthodontics, 3D printing in dental applications, AI-driven cephalometric analysis, and material science for orthodontic appliances. Education: BSc from İstanbul University, specialization at Gülhane Askeri Tıp Akademisi. Achievements: Over 100 peer-reviewed publications, editor/reviewer roles in dental journals, and leadership in orthodontic technology integration. His research emphasizes digital transformation in orthodontics, with studies on AI algorithms for automated mandibular segmentation, 3D-printed bracket bond strength, and ChatGPT's role in patient information accuracy. He evaluates novel technologies like 4D printing for shape-memory devices and assesses clinical outcomes of maxillary expansion techniques using stereophotogrammetry. He has advised 10 theses and managed 1185 projects. His work bridges clinical practice with emerging technologies, addressing challenges in material durability, AI ethics, and patient education quality.
Professor Ali Tolga Bozdana is a faculty member at Gaziantep University, Faculty of Engineering, Department of Mechanical Engineering. He has served as Professor since 2022, following positions as Associate Professor (2017-2022), Doctor Lecturer (2008-2017), and Research Assistant (2006-2008) at the same institution. His academic career also includes research assistant positions at the University of Nottingham (2001-2006) and Gaziantep University (1997-2001). Professor Bozdana earned his Doctorate from the University of Nottingham (2001-2006), Master's degree from Gaziantep University (1997-1999), and Bachelor's degree from Gaziantep University (1992-1997), all in Mechanical Engineering. He has also served as Dean Assistant (2018-present) and Department Vice Chair (2010-2013) at Gaziantep University. His research focuses on advanced manufacturing processes, particularly deep drawing technologies, electrical discharge machining, and servo press systems. Professor Bozdana has made significant contributions to ultrasonic-assisted manufacturing processes, developing novel techniques to improve forming quality and efficiency. His work bridges theoretical modeling with practical applications in aerospace and industrial manufacturing, with particular emphasis on precision manufacturing technologies for difficult-to-machine materials. Professor Bozdana's publication record shows consistent focus on precision manufacturing technologies, with recent work emphasizing ultrasonic-assisted deep drawing, servo press applications, and advanced electrical discharge machining techniques. His research demonstrates progression from fundamental process understanding to innovative system design and implementation, with strong emphasis on both numerical simulation and experimental validation. Kamu Yayın Teşvik Ödülü (TÜBİTAK) in 2018 (twice), 2017, 2016, and 2014 En İyi Sanayi İşbirliği Bildirisi Ödülü Finalisti (2015) Emerald Literati Network Awards for Excellence (2005) Türk Plastik Sanayicileri Araştırma, Geliştirme ve Eğitim Vakfı (PAGEV) Mansiyon Ödülü (2005) PhD Studentship Bursary from Rolls-Royce University Technology Centre (2001) Public Overseas Research Scholarship (2001) Professor Bozdana has supervised numerous graduate students including PhD candidates Sadik Olguner, Abdullah Gazi Firat, and Nazar Kais Al Karkhi. He has led significant research projects including a TÜBİTAK 3001 project on 'Servo Krank Pres ile Ultrasonik Destekli Derin Çekme İşlemi' (2016-2018) and a TÜBİTAK 1001 project on electrical discharge drilling of aerospace alloys (2008-2010). His work has resulted in a national patent for an ultrasonic-assisted deep drawing system. Professor Bozdana's laboratory work focuses on advanced manufacturing systems, particularly servo press technology and ultrasonic-assisted manufacturing processes. His team has developed experimental setups for implementing ultrasonic vibrations in deep drawing processes and created novel die systems for improved manufacturing quality. His research group maintains strong industry connections, particularly in aerospace manufacturing applications.
Assoc. Prof. Dr. Barış Keçeci is an Associate Professor in the Industrial Engineering program at Başkent University. He earned his PhD in Industrial Engineering from Gazi University (2014), Master's Degree from Başkent University (2008), and BSc from Gazi University (2002). Research interests include Modeling and Optimization, Supply Chain Management, Operations Research, Decision Science, and Multi-Criteria Decision Making, with a focus on logistics and transportation systems. His work often integrates advanced algorithms like fuzzy logic and neural networks for solving complex optimization problems. Recent publications emphasize variants of the Traveling Salesman Problem (e.g., with hotel selection, clustered trips), vehicle routing with simultaneous pickup/delivery, and applications of hesitant fuzzy models. These studies span sectors like defense industry, tourism, and shared mobility systems. Advising includes Master's theses on topics such as pandemic-era educational quality, intelligent transportation systems, and ERP software selection. Notable advisees include Neslişah Albayrak Melis Boran Cemal Aykut Gencel Nelişah Albayrak İpek Damla Akpinar Pelin Akyıl Kurt
Abdullah Sert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering and Architecture, Eskisehir Osmangazi University. His academic journey includes a Doctorate (2017) and Master's (2010) in Mechanical Engineering from the same university. He has been a Research Assistant since 2009 and holds adjunct roles teaching courses like Machine Elements and Design Engineering. Education: Doctorate: 2011-2017, Eskisehir Osmangazi University Master's: 2008-2010, Eskisehir Osmangazi University Bachelor's: 2004-2008, Eskisehir Osmangazi University Research Interests: Focuses on tribology, material characterization, and machining processes. His work explores cryogenic treatment effects on cutting tools, surface composites, and wear behavior analysis. He has contributed to studies on shear thickening fluids, laser surface texturing, and failure analysis of mechanical components. Awards: Outstanding Reviewer Award (IOP Publishing, 2018) Advising & Grants: Supervised 6 theses, including a 2023 postgraduate thesis on airport ground support vehicle axle analysis. Engaged in projects on material treatments and mechanical component failure studies. Labs/Teams: Collaborates on projects involving tribology, advanced machining techniques, and material characterization within the university's research groups.
Yunus Ziya Arslan is a full professor at the Department of Robotics and Intelligent Systems, Institute of Graduate Studies in Science and Engineering, Turkish-German University. He also serves as the Dean of the Faculty of Science and Head of the Institute of Graduate Studies at the same university. Previously, he held associate professor positions at Istanbul University (2010–2020) and served as a visiting researcher at the University of Calgary and the Karlsruhe Institute of Technology. His research focuses on musculoskeletal biomechanics, computational modeling of human movement, and biomedical device design. Education: B.S. (2002), M.S. (2005), Ph.D. (2009) in Mechanical Engineering, Istanbul University. Research Interests: Dr. Arslan’s work spans biomechanical analysis of movement disorders, finite element modeling of orthopedic systems, and development of biomedical devices. His studies often integrate computational tools with clinical applications, such as surgical protocol evaluation and orthopedic implant design. Recent Research Trends: His articles emphasize applications of finite element analysis in spinal surgery instrumentation, machine learning for cerebral palsy gait prediction, and biomechanical validation of surgical techniques. A recurring theme is improving clinical outcomes through advanced modeling and material analysis. Administrative Roles: As Dean and Institute Head, he oversees academic programs in science and engineering, fostering interdisciplinary research initiatives. Labs/Teams: His work is conducted within the Robotics and Intelligent Systems department, collaborating with orthopedic clinics and bioengineering teams on biomechanical simulations and device prototyping.
Prof. Dr. Yusuf Tansel İç is a Professor in the Industrial Engineering Program at Başkent University, Turkey. His research focuses on manufacturing systems optimization, fuzzy logic applications, and multi-criteria decision-making methodologies. With over 155 publications and extensive collaboration with scholars like Prof. Dr. Mustafa Yurdakul, he contributes to advanced manufacturing technologies and engineering education assessment tools. Fields of Expertise: Financial Engineering, Fuzzy Logic, Computer-Aided Design, Multi-Criteria Decision Making Research Trends in his recent articles (2023-2025) emphasize: Numerical simulations for ballistic impact resistance Fuzzy logic integration in manufacturing process optimization Decision support systems for material selection and facility layout Mechanical modeling of springback minimization in metal forming Applications of neural networks in machining center selection His scientific contributions span 15 years of collaborative studies with institutions across Turkey.
Tetsuhiko Yoshimura is a Professor at the Faculty of Agriculture and Life Sciences, Shimane University , with a career spanning over 30 years in forestry engineering and environmental informatics. His work focuses on mechanized logging systems in mountainous regions, GNSS/GPS applications in forest surveying, and sustainable forest management under climate change. PhD in Forestry from Kyoto University Developed innovative models for forest road network optimization Pioneer in integrating information technology with traditional forestry practices His research emphasizes: Forest Harvesting Systems - Analyzing productivity in steep terrain GNSS Accuracy - Improving positioning under tree canopies Environmental Education - Developing technology-based learning systems Recent publications demonstrate: Advancements in light cable logging technology Climate change adaptation strategies for East Asian forests Comparative studies of Japanese and European cable systems Economic analysis of small-scale biomass utilization He teaches courses in: Forest Informatics Timber Harvesting Methods Geospatial Surveying Forestry Statistics Professional affiliations: Japanese Forest Society (since 1994) Forest Utilization Society (since 1994) Forest Economics Society (since 2024)
Assoc. Prof. Emrah Irmak serves as Associate Professor and Deputy Head of Department (2020-2023) at the Department of Electrical and Electronic Engineering, Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University, where he currently holds board membership (2024). Previously, he was Doctor Lecturer and Research Assistant at Karabük University's Department of Biomedical Engineering (2012-2019). His academic credentials include: Doctorate in Electrical-Electronic Engineering, Karabük University (2018) Master's in Electrical and Electronics Engineering, Gaziantep University (2014) Bachelor's degree, Opole University of Technology (2011) Dr. Irmak's research pioneers biomedical image processing with applications in brain tumor progression analysis, cancer diagnosis, and Alzheimer's disease detection. His work integrates deep learning with traditional image processing techniques for medical applications, while extending to tribocorrosion analysis of orthopedic implants and IoT systems for healthcare and mining safety. Key innovations include 3D medical image registration frameworks and novel convolutional neural network architectures for automated pathology detection. His publication trajectory demonstrates consistent advancement in applying AI to critical healthcare challenges, with recent focus on multi-modal diagnostic systems for cancer and neurological disorders through integration of image processing, signal analysis, and deep learning. His scientific recognitions include: Distinction in Scholarship in Physiological Genomics (2020) TÜBİTAK Publication Incentive Award (2021) The World's Most Influential Scientists (Stanford University, 2023 & 2024) Dr. Irmak has supervised Master's students Mustafa Burak Turköz (3D medical image registration for brain tumors) and Ergun Ercelebi (medical image registration for tumor growth analysis), and served as main jury for five graduate thesis defenses at Karabük and Gaziantep Universities. His research projects include: National project on Tribocorrosion Properties of Titanium Implants (2021-2022) National project on 3D Medical Image Registration for Brain Tumor Evolution (2017-2018) He actively contributes to scientific advancement as reviewer for Current Medical Imaging, Health Informatics Journal, Plos One, and Turkish Journal of Electrical Engineering and Computer Sciences, while maintaining international collaboration through Erasmus exchange programs.
Assoc. Prof. Dr. Emrah ZERDALI is an Associate Professor at Ege University's Department of Electrical and Electronics Engineering (Faculty of Engineering) and concurrently serves as a Visiting Professor at the University of Nottingham's Power Electronics and Machines Center. His expertise lies in electrical machines and drives, model predictive control, fault-tolerant systems, and sensorless control techniques. He holds a BS from Pamukkale University (2009) and MS/PhD degrees from Niğde Ömer Halisdemir University (2011/2016). Zerdali's research focuses on advanced control strategies for electrical drives, including predictive torque control, Kalman filter-based state estimation, and optimization of energy conversion systems. His work emphasizes improving efficiency, reliability, and real-time performance in applications like electric vehicles and renewable energy systems. Over 55+ publications demonstrate contributions to fields such as sensorless motor control, algorithm optimization, and power electronics integration. His collaborative efforts span international partnerships and interdisciplinary projects in power systems, with a strong emphasis on bridging theoretical advancements with practical real-world implementations. Zerdali also contributes to advancing educational methods in electrical engineering through his academic roles.
Prof. Dr. Kerem Pekkan serves as a Professor in the Department of Mechanical Engineering at Koç University's College of Engineering, where he leads groundbreaking research at the intersection of cardiovascular engineering and biomechanics. His exceptional contributions to science were recognized with the prestigious METU Parlar Foundation 2020 Science Award, highlighting his impact on advancing pediatric cardiovascular solutions. His research spans cardiovascular engineering, biomechanics, congenital heart disease, pediatric cardiology, and AI-driven medical imaging. Pekkan focuses on developing patient-specific computational models and medical devices for congenital heart defects, particularly Tetralogy of Fallot and Fontan circulation. His work integrates advanced MRI techniques, fluid-structure interaction modeling, and machine learning to optimize surgical outcomes for pediatric patients. Analysis of his 15 most recent publications (2023-2025) reveals a dominant trend toward AI-enhanced cardiovascular diagnostics and device innovation. Key themes include machine learning applications in cardiac tissue characterization, novel valve designs for neonatal reconstruction, and hemodynamic optimization of Fontan procedures using 4D flow MRI. His research consistently bridges engineering principles with clinical cardiology to address unmet needs in pediatric cardiovascular care. Scientific Awards: METU Parlar Foundation 2020 Science Award As a core faculty member in Koç University's Mechanical Engineering department, Pekkan actively supervises graduate students through numerous Master's and PhD thesis projects focused on cardiovascular biomechanics. His research is supported by competitive grants enabling advanced in-vitro testing facilities and computational resources. Current projects include AI-based clinical decision tools and genetically modified bioprosthetic valves. He directs a specialized cardiovascular fluid mechanics laboratory equipped for particle image velocimetry, 3D tissue mapping, and patient-specific phantom modeling. The team collaborates closely with medical institutions to translate engineering innovations into clinical practice, with ongoing work on self-powered ventricular assist devices and personalized surgical planning systems.
Prof. Mustafa Ulutan is a Professor at the Department of Mechanical Engineering, Faculty of Engineering and Architecture, Eskisehir Osmangazi University. He holds academic leadership roles, including Head of Department (since 2021) and Director of the Technology Transfer Office (since 2022). His research focuses on tribology, material science, non-traditional manufacturing, and surface engineering. Education: PhD (2007) and MSc (2001) in Mechanical Engineering from Eskisehir Osmangazi University. His doctoral work investigated surface hardening processes and coating methods on AISI 4140 steel. Research Interests: Optimization of additive manufacturing (e.g., plasma wire arc) for composites, cryogenic treatment effects on tool steels, and tribological behavior of coatings. He has published 63+ papers in SCI-indexed journals, with 15+ patents and projects, including studies on high-entropy alloys and WC-Co coatings. Advising: Supervised 16 theses (PhD/MSc), focusing on topics like WAAM components, cryogenically treated steels, and composite coatings. Active in funded projects such as 'Titanium Alloy Production via WAAM' (2022-2024). Labs/Teams: Leads research in advanced manufacturing techniques and material characterization, collaborating with industry partners through the Technology Transfer Office.
Baha Zafer is an Associate Professor in the Department of Aeronautical Engineering at Istanbul Technical University. His research primarily focuses on advanced computational methods in fluid dynamics and aeroacoustics, with applications in aerospace, marine, and energy systems. Research interests span aeroacoustics, hydroacoustics, computational fluid dynamics (CFD), and machine learning applications in flow optimization. Key areas include transonic/supersonic cavity flows, wind turbine acoustics, supercavitation phenomena, and generative adversarial networks for flow field prediction. Recent publications (2019–2025) show strong trends in applying open-source CFD tools and machine learning to aeroacoustic problems. Dominant themes include unsteady transonic flows (38% of recent work), optimization via ML (25%), and hydroacoustics (20%), reflecting a shift toward AI-enhanced simulation techniques since 2023. Currently advises 5 graduate theses. No major scientific awards are documented.
Inci Batmaz is a Professor of Statistics at the Middle East Technical University (METU) in Ankara, Turkey. She holds a dual Ph.D. in Computer Engineering (Ege University, Turkey) and a Dissertation from Carnegie-Mellon University (USA) as a Fulbright Scholar. Her academic career includes roles such as Chair of the Department of Statistics (2012–2015), Graduate Program Coordinator, and membership in various institutional boards. She has been affiliated with the Financial Mathematics Program at METU's Institute of Applied Mathematics since 2003. Her research focuses on Data Science & Analytics, Data Mining, Computational Statistics, Machine Learning, and Environmental Statistics. She has published extensively in top journals and edited volumes, including Recent Advances in Statistics (2007) and contributed to climate change studies, financial modeling, and simulation metamodeling. Dr. Batmaz has been recognized with multiple awards, including METU Publication Awards (2007–2016), TÜBİTAK Fellowships, and the Netherlands National Research Foundation Grant (2002). Her work bridges statistical methodology with real-world applications in climate science, finance, and industrial quality improvement.
Sema Alaçam is an Associate Professor at Istanbul Technical University , affiliated with the Department of Architecture . She has active research in computational design , artificial intelligence in architectural education , and sustainable materials like rammed earth and reused wind turbine blades . Her work focuses on: Architectural heritage (e.g., Sinan mosques, Harran houses) Environmental comfort (thermal, natural ventilation) Digital tools (BIM, VR, AI-assisted design) Recent publications include machine learning models for heritage analysis and AI literacy in design education. She leads projects on robotic fabrication and digital stereotomy . Scientific recognition: Multiple İTÜ Academic Performance Awards (2021–2023) Sigradi Best Reviewer Award CAADRIA Best Presentation Award (2014) FABFEST Prizes (2017–2018)
Guvenc Arslan serves as a Professor in the Department of Statistics within the Faculty of Engineering and Natural Sciences, focusing on advanced statistical methodologies and machine learning applications. His work bridges theoretical statistics with real-world problem solving across diverse domains. His core research interests include: Machine Learning and Classification Algorithms Statistical Clustering Methods Applied Statistics in Healthcare and Earth Sciences Data Mining and Pattern Recognition Fuzzy Logic and Bayesian Methods Parameter Estimation and Distribution Theory Analysis of his 15 most recent publications (2024-2015) reveals consistent innovation in classification techniques, particularly for medical diagnostics (e.g., COVID-19, cryotherapy) and environmental monitoring (e.g., earthquake engineering, satellite data analysis). His methodology frequently integrates support vector machines, k-means clustering, and fuzzy Bayesian approaches to address complex data challenges. Dr. Arslan's scholarly contributions extend to software development, including a JAVA implementation for multivariate statistical testing, demonstrating his commitment to practical tool creation alongside theoretical advancement. His research maintains strong connections to both medical applications and geospatial engineering problems.
