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Mehmet Tolga Gögüş serves as an Associate Professor in the Department of Civil Engineering at Gaziantep University's Faculty of Engineering. With over two decades of academic experience, he teaches across all educational levels from undergraduate to doctoral studies, specializing in structural mechanics and civil engineering design. His teaching portfolio includes Statics, Solid Mechanics, Dynamics, and specialized topics in composite materials and structural analysis. Dr. Gögüş's research focuses on structural engineering with particular emphasis on concrete-filled steel tube (CFST) structures, composite systems, and structural optimization. His work spans experimental investigations of flexural performance, reliability analysis, and the development of design methodologies for deployable structures. He has made significant contributions to understanding the behavior of fiber-reinforced concrete, structural response under various loading conditions, and the optimization of cold-formed steel members. His research bridges theoretical modeling with practical applications in construction engineering. His publication record demonstrates consistent scholarly output with 20 journal articles spanning structural analysis, composite materials, and construction engineering. The research trajectory shows evolution from foundational work on arch optimization and truss systems (2003-2010) to more recent investigations of concrete-filled steel tubes, fiber-reinforced concrete, and deployable structures (2016-2025). His recent publications (2021-2025) particularly focus on punching shear performance, parametric studies of fiber-reinforced concrete, and advanced testing of engineered cementitious composites. 2018 Sivil Toplum Kuruluşu Best Paper Award (European Conference on Science, Art and Culture) 2011 Other Valuable Doctoral Study Award (Teorik ve Uygulamalı Mekanik Türk Milli Komitesi) 2001 Best Presentation Award (Teorik ve Uygulamalı Mekanik Türk Milli Komitesi) Dr. Gögüş has advised 24 graduate students (3 doctoral, 21 master's) with thesis topics centered on concrete-filled steel tube structures, deployable fabric structures, and structural optimization. He has led numerous research projects including two as principal investigator: 'MF.14.05 Composite Beams Flexural Performance Enhancement' (2014-2017) and '107M648 Optimal Design of Reinforced Panels Against Buckling' (2008-2009). Additional projects include archaeology-related consultancy for the Kastabala Ancient City excavations (2011-2017) and the Karkamış Höyük excavation (2019), demonstrating interdisciplinary application of structural engineering expertise.

• Structural Engineering
• Concrete Structures
• Steel Structures
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Assoc. Prof. Dr. Mustafa Orkun Özüer is an academic and administrative leader at Istanbul Beykent University , serving as Department Head of Industrial Design since 2016. With a career spanning over two decades, he has held roles as Lecturer (2012), Research Assistant (2005), and studied at Istanbul Technical University (Ph.D. in Architecture, 2010; B.Sc. in Architecture, 1995). Current Position: Associate Professor, Industrial Design Department Previous Roles: Lecturer, Research Assistant Membership: Turkish Chamber of Architects (since 2000), Architecture Foundation (since 2000) His research bridges architectural design , kinetic structures , and sustainable development , focusing on interactive interfaces , historical context integration , and educational campus planning . Key contributions include deployable design systems and energy-efficient building criteria. Recent work trends emphasize contextual architectural solutions (2019) and design pedagogy innovations (2021), with ongoing exploration of spatial transformation through kinetic prototypes. Articles span design competitions (2016) to environmental criteria (2013). Scientific Awards : Kepez Municipality Weaving Area Idea Project Competition (2018) Merzifon Municipality Business and Life Center Competition (2018) Izmir Karabağlar Urban Design Competition (2017) Bornova Children's World Competition (2016) Caferağa Sports and Culture Center Competition (2016)

• Architectural Design
• Sustainable Architecture
• Kinetic Architecture
• +3 more

Dilek Öztürk is a Researcher in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.Sc. (2017) and M.Sc. (2020) from the same institution, with her M.Sc. thesis advised by Assistant Professor Tuğkan Tuğlular. Her Ph.D. is ongoing in Computer Engineering. Research focuses on software quality assurance, testing methodologies for agile software product lines, and automated configuration generation. She has conducted studies on effort estimation using ISBSG datasets and pioneered event sequence graph-based approaches for incremental testing. Current work involves TÜBİTAK ARDEB 1001-funded research on developing agile software product line testing methods. Teaching responsibilities include courses such as CENG 112 (Data Structures), CENG 316 (Software Engineering), and CENG 431 (Building Software Systems). Professional activities include collaboration on software engineering projects emphasizing practical implementation of theoretical models. Her research portfolio demonstrates expertise in bridging theoretical testing frameworks with real-world software development challenges, particularly in product line variability management and agile methodologies integration.

• Software Quality
• Software Testing
• Software Product Lines
• +3 more

Dr. Semiha Tedik Basaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), where she has held this position since 2020. Previously, she was a Researcher at Ericsson (2019–2020), focusing on 5G/6G radio networks, and a Research Assistant at ITU (2012–2019). She also held visiting researcher roles at RWTH Aachen University (2017) and Alexander Technological Educational Institute of Thessaloniki (2018). Her research focuses on 5G/6G radio access networks , including mobility management , over-the-air computation , random network coding , and non-terrestrial networks . She has contributed to projects on 5G private networks, denial-of-service attacks, and secure communication protocols. Her work emphasizes practical implementations, including software-defined radio prototyping and hardware design. Education: B.Sc. in Electronics and Communication Engineering (Ranked 2nd, ITU, 2011) M.Sc. and Ph.D. in related fields (not explicitly stated, inferred from roles and awards) Dr. Basaran has received prestigious awards, including the IEEE Turkey Best PhD Dissertation Award (2019), Istanbul Technical University Best PhD Dissertation Award , and TUBITAK scholarships. She holds multiple patents on secure communication systems, network coding, and failure prediction algorithms. Her recent work explores terahertz networks , satellite-aided relaying , and AI-driven edge computing . She teaches Communications I and Mobile Communication Systems at the undergraduate and graduate levels, respectively.

• 5G and Beyond Radio Access Networks
• Mobility Management
• Over-the-Air Computation
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Yusuf Hüseyin Şahin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He earned all his academic degrees—B.Sc., M.Sc., and Ph.D.—from the same institution in Computer Engineering. His research lies at the intersection of computer vision, deep learning, and 3D data processing, with applications in medical imaging, architectural heritage, and drone-based vision systems. B.Sc., M.Sc., Ph.D. in Computer Engineering, Istanbul Technical University His primary research interests include 3D point cloud processing, deep learning, image segmentation, adversarial attacks, and medical image analysis. He has published extensively on these topics, particularly focusing on point cloud registration, segmentation, and classification using neural networks. His recent work explores uncertainty modeling, active learning, and generative models for both synthetic data creation and real-world applications. The trend in his publications from 2017 to 2024 shows a clear progression from foundational work in CNN-based 3D classification and cerebral vessel analysis to advanced topics such as dynamic graph networks, conformal prediction, and heritage digitization. His work bridges theoretical machine learning with practical applications in healthcare and cultural preservation. He is currently leading a research project titled "Konformal Tahmin ile Sıcaklık Tahmin Modellerinde Doğruluğun Arttırılması" (Improving Temperature Prediction Accuracy Using Conformal Forecasting), funded under the SRP program from 2025 to 2026. This indicates an expanding interest in predictive modeling and uncertainty quantification. While no scientific awards are listed in the provided texts, his h-index of 5 and 293 citations on Scopus reflect an active and growing research profile. Dr. Şahin teaches undergraduate courses such as Data Structures (BLG 223E) and Object-Oriented Programming (BLG 252E). He has no listed advisees or thesis supervision records. He is part of a collaborative research network involving Gozde Unal and other researchers in medical and architectural computer vision. His lab activities appear to focus on deep learning for 3D data, with emphasis on robustness, efficiency, and real-world deployment.

• Computer Vision
• Deep Learning
• 3D Point Cloud Processing
• +7 more

Mustafa Kemal Kaymak is a Researcher at Istanbul Technical University's Energy Institute, focusing on renewable energy systems with particular emphasis on floating photovoltaics and meteorological interactions. His work spans technical, economic, and policy dimensions of solar energy deployment. Affiliation: Istanbul Technical University, Energy Institute Research Output: 10+ publications (2011-2025), including impactful articles on FPV systems, wind energy, and climate interactions Current Project: Climate Change and Sustainable Water Management (2024-2026) Key research themes include: Extreme weather impacts on renewable energy systems Policy frameworks for sustainable development goals Technical optimization of floating solar farms Meteorological parameter analysis for energy applications

• Renewable Energy
• Solar Energy
• Photovoltaic Systems
• +3 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.

• Artificial Intelligence
• Deep Learning
• Computer Vision
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Assoc. Prof. DERYA HAROĞLU serves as Associate Professor in the Department of Industrial Design Engineering at Erciyes University's Faculty of Engineering, where she has held academic positions since 2009. Previously Assistant Professor (2015-2024) and Research Assistant in Textile Engineering (2009-2015), she concurrently serves as Erasmus Program Institutional Coordinator for the Faculty of Engineering. Her educational background includes: Doctorate in Textile Technology Management, North Carolina State University (2010-2014) Executive MBA, Istanbul Technical University (2006-2007) B.Sc. in Textile Engineering, Ege University (1998-2002) Her research integrates Textile Engineering with Biomedical and Automotive applications, specializing in 3D knitted scaffolds for myocardial tissue regeneration, polymer optical fiber sensors for automotive safety, and computational intelligence methods. She pioneers fuzzy logic and neural network applications in textile physics while developing innovative medical and veterinary education tools through 3D printing technology. Recent publications reveal dominant trends in cardiac tissue engineering scaffolds (40% of output), automotive sensor development (30%), and fuzzy logic applications in textile design (20%), with growing interdisciplinary work in veterinary anatomy education. Her work consistently bridges textile manufacturing with biomedical and automotive engineering challenges. Dr. Haroğlu has successfully supervised three postgraduate students through thesis research on furniture upholstery design, veterinary brain modeling, and product development methodologies. She secured significant research funding including a BAP project on myocardial regeneration scaffolds (2018-2021) and an Erasmus+ KA2 project on vocational design education (2016-2019), while holding two patents for cardiac patches and industrial design. She leads a multidisciplinary research team developing textile-based cardiac regeneration solutions, collaborating with medical researchers on scaffold biocompatibility testing and automotive engineers on sensor integration. Her laboratory combines advanced textile machinery with computational modeling tools for predictive analysis of fabric structures.

• Textile Engineering
• Technical Textiles
• Biomedical Engineering
• +5 more