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Prof. Dr. Gökhan Kiper is a faculty member in the Department of Mechanical Engineering at Izmir Institute of Technology , Turkey. His research focuses on Mechanism Science , Machine Design , and Deployable Structures , with particular emphasis on Polyhedral Geometry applications. Teaches courses: ME332 (Mechanisms), ME402 (Machine Design), ME577 (Advanced Mechanism Design) Active in IFToMM (International Federation for the Promotion of Mechanism and Machine Science), including roles in the Technical Committee for Computational Kinematics and the Turkey Branch (MakTeD) Co-organized the IFToMM Summer School on Mechanism Design for Medical Applications (2018) Research interests span kinematic synthesis of mechanisms, deployable architectural structures, and medical robotics. Key projects include a rollable ramp for temporary use, finger exoskeletons for rehabilitation, and remote-center-of-motion manipulators for minimally invasive surgery. His work integrates theoretical analysis with practical prototyping, reflected in publications across robotics, structural mechanics, and geometric design. Affiliates with the Rasim Alizade Mechatronics Laboratory (RAML) and the IzTech Kinetic Designs in Architecture Group . Presented at international conferences like International Symposium of Mechanism and Machine Science (ISMMS-2017) in Baku, Azerbaijan, where he chaired sessions on mechanism kinematics.

• Mechanism Science
• Machine Design
• Deployable Structures
• +1 more

Sermet DEMİR is an Assistant Professor at the Faculty of Engineering , Department of Mechanical Engineering , Doğuş University. His work focuses on additive manufacturing, orthotic device design, and mechanical property optimization of composite materials. He teaches courses such as Experimental Engineering, Manufacturing Technology, and Computer-Aided Design. Education : BSc and MSc in Mechanical Engineering from Marmara University; PhD in Mechanical Engineering from Marmara University (2018). Research Interests center on biomedical devices, 3D printing, and structural analysis. His publications often employ the Taguchi method, Response Surface Methodology (RSM), and Quality Function Deployment (QFD) for design optimization. Recent works explore triply periodic minimal surface (TPMS) metamaterials, war bow mechanics, and adhesive joint performance. Scientific Awards are not explicitly mentioned in the text. His projects are sponsored by Doğuş University Scientific Research Projects Coordination Unit (grants 2021–22-D1-B02).

• Mechanical Engineering
• Biomedical Engineering
• Additive Manufacturing
• +3 more

Beyza Eken serves as Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences, teaching core courses including Software Project Management, Natural Language Processing, and Graduation Projects while maintaining active research in software engineering and AI applications. Her academic credentials include: Doctorate in Computer Engineering from Istanbul Technical University (2015), thesis: "Software Defect Prediction" Master's in Computer Engineering from Istanbul Technical University (2011-2015), thesis: "Entity Name Recognition in Short Texts" Bachelor's in Computer Engineering from Sakarya University (2007-2011) Dr. Eken's research integrates machine learning with software engineering, specializing in defect prediction models that incorporate personalized developer factors and industrial deployment challenges. Her work bridges natural language processing for Turkish social media analysis with software quality assurance, demonstrating expertise in both theoretical modeling and practical implementation in industrial settings. Recent expansions include neuro-symbolic AI for test oracle generation and MLOps frameworks. Publication trends reveal consistent focus on empirical software engineering from 2018-2021 (defect prediction, community smells, industrial deployment), evolving into cutting-edge domains by 2023-2025 (neuro-symbolic testing, employee feedback analysis, MLOps). Her work shows strong industry-academia collaboration patterns with increasing methodological sophistication. Dr. Eken actively contributes to academic service as reviewer for ACM Transactions on Software Engineering and Methodology (2024) and IEEE Transactions on Software Engineering (2023). She leads research projects including "Developer-specific error prediction modeling" (2020) and the Mevlana exchange project with Ryerson University on data mining for defect prediction (2018), while supervising graduation projects and research area courses that develop student expertise in software engineering practices. Her international research engagement includes participation in the ASTERIx project at Università della Svizzera Italiana's Software Testing and Analysis Research Group (2023), demonstrating ongoing commitment to global collaboration in software engineering advancements.

• Software Defect Prediction
• Natural Language Processing
• Machine Learning in Software Engineering
• +2 more

Dr. Muhammed Maruf is an Assistant Professor at the Faculty of Economics and Administrative Sciences , Kırşehir Ahi Evran University since 2019, with prior roles at Şırnak University (2017-2019) and Dokuz Eylül University (2011-2017). He holds a PhD in Business Administration (2013-2017) and an MSc in Management Science (2011-2013) from Dokuz Eylül University, and a BSc in Business Administration (2002-2005) from Erciyes University. Licenses : YÖKDİL (2017, 82), ÜDS (2011, 71) Administrative Roles : Research Application Center Director (2019-), Deputy Department Head (2019-), Head of Department (2018-), Dean Assistant (2018-), Faculty Council Member (2017-) His research focuses on Operations Research and Multiple Criteria Decision Making , applying advanced methods like CRITIC , MAIRCA , DEA , and Fuzzy Logic to analyze performance in municipal governance, tourism websites, banking transformation, and political participation. Collaborative work spans 13 co-authors, notably with Kadir Özdemir (6 publications) and Bekir Gündoğmuş (5 publications). Key Trends : 15+ journal articles (2021-2025), 4 books, 4 book chapters Methodological Expertise : CRITIC-MAIRCA integration, Fuzzy DEA, Grey System Theory Project Leadership : 2 projects (2020-2021, 2022-2024), 2 as co-researcher Academic Impact : Google Scholar h-index 8 (157 citations), YÖKSİS h-index 6 (365 total points). His 43+ total publications include 28 journal articles and 9 conference proceedings.

• Operations Research
• Multiple Criteria Decision Making
• Data Envelopment Analysis
• +1 more

Yiğit Dağhan Gökdel is an Associate Professor in the Department of Electrical and Electronics Engineering at Istanbul Bilgi University, Faculty of Engineering and Natural Sciences. He serves as the Chair of the department and advisor to the Rector. His work bridges engineering, biomedical instrumentation, and microsystems, with a strong focus on MEMS, biosensors, and optical devices. He leads the Microsystems Research Group and the Biosensors Research Group, and has coordinated numerous funded research projects from TÜBİTAK and institutional grants. Education: Postdoctoral Research Associate, Biomedical Engineering, University of Texas at Austin, 2012 PhD, Electrical and Electronics Engineering, Bogazici University, 2011 MS, Electrical and Electronics Engineering, Bogazici University, 2007 BS, Electrical and Electronics Engineering, Bilkent University, 2004 His research centers on the design, fabrication, and application of MEMS-based sensors and systems for biomedical and industrial use. Key areas include disposable biosensors for toxin detection, soft robotics sensors, laser scanning confocal microscopy, and structural health monitoring of wind turbines. His work integrates materials science, microfabrication, and system integration for real-world deployment. The 15 most recent publications highlight a consistent trend in developing miniaturized, low-cost, and often disposable MEMS devices for healthcare and environmental monitoring. Topics span piezoresistive sensors, 3D-printed scanners, optical imaging systems, and IoT-enabled monitoring, reflecting a multidisciplinary approach combining electrical engineering, materials, and biomedical applications. Scientific Awards: BAP, Bogazici University Best Dissertation Award, Jun. 2011 He has successfully led multiple research grants, including TÜBİTAK projects on smart home platforms, paper-based biosensors, and biopsy catheters for early cancer detection. He has advised over 18 graduate students, including one PhD and numerous Master’s theses. His leadership extends to editorial roles, program coordination, and institutional governance. Dr. Gökdel leads two active research groups: the Microsystems Research Group and the Biosensors Research Group. These teams focus on developing innovative MEMS solutions for medical diagnostics, industrial monitoring, and robotics, often leveraging 3D printing and low-cost fabrication techniques.

• MEMS (Micro-Electro-Mechanical Systems)
• Biosensors
• Biomedical Instrumentation
• +8 more

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +6 more

Merve AYDIN is a Lecturer at Istanbul Beykent University , affiliated with the Vocational School and Design Department . She previously held roles as a Lecturer and Research Assistant at the Applied Sciences College and Industrial Product Design Department at Beykent University. Doctorate : Istanbul Technical University (2016) Master's : Middle East Technical University (2010) Licence : Anadolu University (2005) Her research focuses on Industrial Design , Inclusive Design , and Medical Device Design , with a strong emphasis on Collaborative Design and Traditional Craft Integration . Her recent publications explore deployable structures, human-computer interaction, and inclusive design education. Key trends in her articles include deployable design , contextual user research , and sustainable craft-based practices . Her work bridges academic theory with real-world applications, particularly in enhancing accessibility and preserving artisanal traditions.

• Industrial Design
• Human-Computer Interaction
• Inclusive Design
• +5 more

Mustafa Taha Koçyiğit serves as an Assistant Professor at Boğaziçi University, specializing in artificial intelligence and computer vision research. His academic role focuses on advancing deep learning methodologies within the university's engineering or computer science framework. His research interests encompass deep learning, self-supervised learning, efficient training of deep learning and large language models, computer vision, and language-grounded vision systems. He develops computationally and data-efficient techniques to enhance AI model training and deployment across diverse applications. Analysis of his 2020-2025 publications reveals consistent emphasis on training efficiency: accelerating self-supervised learning, optimizing computer vision methods, and applying deep learning to industrial defect detection. His work bridges theoretical advancements with practical aerospace and manufacturing solutions. No scientific awards are documented in the source material. Information regarding student advising, grant funding, laboratory facilities, or research teams remains unavailable.

• Deep Learning
• Self-supervised learning
• Efficient training of deep learning methods
• +3 more

Yenal Akgün is a Full Professor at the Department of Architecture, Dokuz Eylül University. He holds a BSc from Istanbul Technical University, an MSc from İzmir Institute of Technology (IZTECH), and a Ph.D. from the University of Stuttgart. His academic career includes roles as an Associate Professor at Yaşar University and a part-time lecturer. His research focuses on kinetic architecture, adaptive systems, deployable structures, and sustainable design integration. He has contributed to national and international workshops and serves as a reviewer for TÜBİTAK projects. Key research interests include scissor linkages, structural mechanisms, and disaster management planning. His work bridges architectural innovation with engineering principles, emphasizing sustainable development goals in education and design practices. He has advised 14 theses and participated in numerous architectural competitions, winning awards. His recent projects explore kinetic façade systems, deployable umbrellas, and online learning methodologies in architectural education. Awarded the Associate Professor title by YOK in 2017, he has also worked as an architect in municipal urban design and taught at multiple institutions. His contributions span academic leadership, practical design projects, and interdisciplinary collaborations.

• Kinetic Architecture
• Adaptive Systems
• Deployable Structures
• +5 more

Prof. Dr. V. Çağrı GÜNGÖR is a Professor and Department Chair of Computer Engineering at Abdullah Gül University, Kayseri, Turkey. He holds a Ph.D. from Georgia Institute of Technology and has been actively involved in research and academia since 2001. His primary roles include leading the Computer Engineering department and contributing to editorial boards of prestigious journals. Education: B.S. and M.S. in Electrical and Electronics Engineering (Middle East Technical University, 2001/2003); Ph.D. in Electrical and Computer Engineering from Georgia Tech (2007). Research focuses on next-generation wireless networks, smart grid communications, cognitive radio networks, underwater acoustic networks, and AI-driven data mining. His work bridges theoretical advancements with practical applications in smart grids and vehicular networks, emphasizing reliability and efficiency. Notable awards include TUBITAK Young Scientist Award (2017), BAGEP (2017), and IEEE Best Paper Awards (2012, 2006). He leads multiple research projects funded by TÜBİTAK, EU Marie Curie, and industry partners like Alcatel-Lucent and Eaton Corporation. Grants and projects include developing low-power WSNs for structural health monitoring, underwater acoustic networks, and smart grid communication frameworks. He has co-authored over 100 peer-reviewed publications and edited books on industrial wireless networks. Teaching courses include Computer Networks, Wireless Sensor Networks, and Capstone Design Projects. His lab explores cutting-edge solutions in IoT, vehicular networks, and AI-driven network optimization.

• Next-Generation Wireless Networks
• Wireless Ad Hoc and Sensor Networks
• Cognitive Radio Networks
• +5 more

Ali Osman Mut is a Researcher at the Department of Meteorological Engineering, Istanbul Technical University, Turkey. His work focuses on renewable energy systems, particularly photovoltaic technologies under extreme environmental conditions. He holds an ORCID ID and maintains an institutional profile detailing his research metrics. Research Interests: Dr. Mut specializes in photovoltaic system engineering with emphasis on floating photovoltaic systems, numerical simulation of environmental interactions, renewable energy policy analysis, and sustainable development applications. His work bridges technical engineering challenges with policy-oriented solutions for renewable energy deployment. Publication Trends: His recent publications (2025) investigate floating photovoltaic systems through dual lenses: 1) economic/policy dimensions linking renewable energy to sustainable development goals, and 2) technical resilience of systems under extreme wave-wind conditions using advanced numerical modeling. Awards: No scientific awards reported. Academic Activities: Current records indicate no disclosed student advising responsibilities, research grants, or laboratory leadership roles.

• Photovoltaic System Engineering
• Floating Photovoltaic Systems
• Numerical Simulation
• +5 more

Professor Tolga Eren serves as a faculty member in the Department of Electrical and Electronic Engineering at Kirikkale University's Faculty of Engineering and Natural Sciences. Holding a PhD from Yale University with postdoctoral training at Columbia University, he previously held a visiting professorship at KTH Royal Institute of Technology and earned his BSc from Bilkent University under full scholarship. His educational trajectory includes: BSc in Electrical and Electronics Engineering, Bilkent University (full scholarship) MSc from University of Massachusetts and Yale University PhD from Yale University Postdoctoral research at Columbia University Eren's research centers on networked systems with dual focus on cooperative localization in wireless sensor networks and formation control for multi-robot systems. He pioneers applications of optimization algorithms like Particle Swarm and Bat Algorithm for positioning challenges while advancing rigidity theory for network stability. His work bridges theoretical frameworks with practical implementations in constrained environments. Analysis of his 2019-2021 publications reveals three dominant trends: (1) Hybrid optimization approaches for wireless sensor network localization using swarm intelligence variants, (2) Rigidity-theoretic foundations for formation control under input constraints, and (3) Geometric methods for robot path smoothing and shape maintenance. These intersect at the nexus of graph theory, control systems, and distributed computing. Professor Eren has advised at least one graduate student, Gülçin AKTAŞ, who completed her departmental thesis in 2014. While no specific grants are documented in the available records, his research output demonstrates sustained investigation into networked system fundamentals through institutional support at Kirikkale University.

• Cooperative Localization
• Formation Control
• Wireless Sensor Networks
• +3 more

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

• Artificial Intelligence
• Information Security
• Internet of Things
• +4 more

Professor Gulser Köksal is a distinguished academic in the Department of Industrial Engineering at TED University. She previously served as Professor at Middle East Technical University (METU) from 1993 to present, holding significant administrative roles including Vice Rector (2017-2019) and Advisor to the Rector (2016-2017). Her academic journey includes positions as Associate Professor (1999-2006) and Assistant Professor (1993-1999) at METU, and Assistant at North Carolina State University (1988-1993). Her educational background includes a PhD in Industrial and Systems Engineering from North Carolina State University (1987-1992), an MS in Industrial Engineering from Middle East Technical University (1985-1987), and a BS in Industrial Engineering from the same institution (1980-1985). She is proficient in English at an advanced level (C1). Professor Köksal's research focuses on quality engineering, statistical process control, robust design methodologies, and data mining applications for quality improvement. Her work bridges theoretical statistical methods with practical industrial applications, particularly in multi-response optimization, desirability functions, and quality function deployment. She has made significant contributions to understanding inspection errors, rework processes, and their economic impacts on quality characteristics. Her publication portfolio demonstrates a consistent trajectory from foundational work in statistical process control to more recent applications of machine learning and neural networks in quality engineering. The research shows strong emphasis on practical industrial applications while maintaining theoretical rigor, particularly in handling categorical responses, uncertainty modeling, and multi-criteria decision making in product design. Professor Köksal has successfully supervised 64 theses across doctoral and master's levels, demonstrating her commitment to academic mentorship. Her research has been supported by numerous projects from TÜBİTAK, Erasmus, and Teknopark, totaling 21 projects. These projects span quality engineering, data mining applications, product design optimization, and strategic university governance. She has contributed to the academic community through extensive service, including participation in international conferences, workshops on quality engineering and higher education leadership, and collaborative research projects with institutions across Europe and China. Her work on university governance, particularly through the LEAD project, demonstrates her commitment to advancing academic leadership practices.

• Quality Engineering
• Statistical Process Control
• Robust Design
• +6 more

Hakan Akyıldız is a Professor at Istanbul Technical University's Department of Shipbuilding and Ocean Engineering. His career spans over two decades of research and leadership in maritime safety, fluid dynamics, and risk assessment. 1999–2025: Active research output with 20 publications 2016–2022: Led 5 major research projects Research Focus : - Liquid sloshing dynamics in maritime systems - Probabilistic damage stability analysis - Smart port infrastructure sustainability - Functional resonance accident modeling - Safety barriers in ocean engineering Project Highlights : TUBITAK-funded sloshing impact assessment (2019–2021) Open sea wave load calculations (2017–2021) Smart anti-rolling system for yachts (2020–2022)

• Maritime Engineering
• Ocean Safety
• Fluid Dynamics
• +5 more