Dr. Lecturer Çağatay Berke Erdaş is a faculty member at Başkent University's College of Engineering in the Department of Computer Engineering. His research focuses on applying machine learning and deep learning techniques to medical diagnostics and behavioral prediction. Machine Learning Artificial Intelligence Medical Imaging Neurodegenerative Disease Detection Erdaş's publications highlight trends in AI-driven healthcare solutions, including cancer diagnosis, retinal imaging analysis, and gait-based disease monitoring. He also contributes to autonomous vehicle behavioral prediction systems and wearable sensor applications. He teaches courses such as Advanced Programming, Computer Networks, and Pattern Recognition. His research includes collaborations with experts in ophthalmology and neurology, leveraging AI for early disease detection.
Mehmet Dikmen serves as an Assistant Professor in the Computer Engineering Department at Başkent University, Ankara, where he teaches courses including Artificial Intelligence, Operating Systems, and Remote Sensing Systems. His academic foundation includes a PhD in Geodesy and Geographic Information Technologies from Middle East Technical University (2014), an MSc in Electrical and Electronics Engineering (2006), and a BSc in Computer Engineering from Başkent University (2003). Research Expertise: Dr. Dikmen specializes in applying artificial intelligence to solve complex problems across multiple domains. His primary research thrusts include medical imaging analysis (developing zero-shot learning for thorax disease detection), geospatial intelligence (using deep learning for landmine detection and deforestation monitoring), and industrial automation (optimizing manufacturing processes through predictive modeling). His interdisciplinary approach bridges computer vision, remote sensing, and machine learning to address real-world challenges in healthcare, defense, and environmental sustainability. Analysis of his 22 publications (2012-2025) reveals an evolving trajectory from foundational geospatial work toward cutting-edge AI applications. Early research focused on landslide susceptibility mapping using ANN, while recent efforts emphasize deep learning architectures for 3D manufacturing prediction, multi-agent reinforcement learning in military scenarios, and Parkinson's disease identification. His work consistently demonstrates methodological innovation in data augmentation, transfer learning, and saliency-based analysis. Academic Contributions: Dr. Dikmen has supervised 14 Master's theses, guiding students through research in air combat simulation, tweet popularity prediction, and vehicle price forecasting. His teaching portfolio spans core computer engineering subjects including Programming, Operating Systems, and specialized AI/remote sensing courses. While no scientific awards are documented, his active publication record and thesis supervision reflect significant academic engagement.
Assistant Professor Tansel Uyar is affiliated with Başkent University in the Biomedical Engineering Program . He holds a PhD in Bioengineering from Hacettepe University (2018), a Master's in Nanotechnology and Nanomedicine (2012), and a BSc in Biomedical Engineering (2009). His research focuses on biomaterials , image processing , and nanotechnology applications in biomedical engineering. His work includes deep learning-based analysis of white blood cells , nanofiber-reinforced dental composites , and AI-driven dental caries detection . He has supervised projects related to medical mask development , contact lens solution stability , and regenerative endodontics . Scientific Awards include participation in international invention fairs like ISIF23 and ARCA 2021 . He has served as a reviewer for journals such as Medical & Biological Engineering & Computing and Gazi University Journal of Engineering and Architecture . As an academic mentor, he has guided students in cell segmentation , dental biomaterials , and medical device development . His expertise bridges materials science and clinical dentistry through innovative electrospinning and image processing techniques.
Begüm Şener is a Research Assistant in the Department of Computer Engineering at Başkent University, focusing on artificial intelligence and machine learning applications in medical imaging and software engineering. She holds both a Master's (2020) and Bachelor's (2016) degree from Başkent University in Computer Engineering. Research Focus: Combines deep learning with medical diagnostics for Alzheimer's disease, diabetes, breast cancer, and brain cancer detection through imaging and statistical analysis. Technical Expertise: Applies machine learning techniques to software bug prediction using object-oriented metrics and software metrics. Publication Output: 6 journal articles and 31 conference papers with an H-index of 5, demonstrating consistent interdisciplinary contributions. Journal Roles: Acted as a peer reviewer for multiple journals including Journal of Engineering and Applied Science (2024) and Gazi University Journal of Science Part C (2024).
İpek Damla Akpınar is a Researcher in the Industrial Engineering Program at Başkent University, actively contributing to operations research with a focus on shared mobility systems and combinatorial optimization. Her work addresses critical challenges in vehicle routing, rebalancing logistics for bike/car sharing networks, and decision support modeling for sustainable transportation infrastructure. Her research spans Operations Research, Logistics and Supply Chain Management, Vehicle Routing, Shared Mobility Systems, Combinatorial Optimization, and Decision Support Systems. Key contributions include developing mathematical frameworks for heterogeneous fleet management, battery-constrained rebalancing in electric vehicle sharing, and fuzzy decision models for ERP software selection. She employs advanced metaheuristics like Variable Neighborhood Descent to solve complex routing problems with practical constraints. Analysis of her publication trends shows consistent specialization in optimization for shared mobility since 2019, with accelerating output in 2022-2025. Her recent work demonstrates increasing technical sophistication in handling heterogeneous vehicle fleets, battery management systems, and multi-objective decision scenarios. This trajectory positions her research at the intersection of sustainable urban mobility and advanced operations research methodologies, with clear applications in smart city infrastructure.
Yaren Çelik is a Research Assistant at Başkent University's College of Engineering, Department of Industrial Engineering. She holds a Master's Degree (2022) and Bachelor's Degree (2018) in Industrial Engineering from the same institution. Academic Role: Researcher University: Başkent University Department: Industrial Engineering Her research focuses on machine learning and deep learning applications in ergonomics (RULA analysis, posture risk assessment), wood industry anomaly detection , and medical informatics (AI-based cognitive evaluation in Multiple Sclerosis patients). She has participated in multiple projects related to image processing , artificial neural networks , and sustainable development goals . Recent work trends include: Development of AI models for ergonomic risk assessment Wood quality control systems using computer vision Integration of optical coherence tomography and MRI metrics with AI in healthcare UN Sustainable Development Goals-aligned publications Contact: yarancelik@baskent.edu.tr
Ozlem Ozgun is a Professor in the Department of Electrical and Electronics Engineering at Hacettepe University, Ankara, Turkey. She serves as Vice Dean of the Faculty of Engineering (2021-present) and previously held leadership roles including Department Vice Chair (2017-2020) and Chair of the Electromagnetic Fields and Microwave Techniques Division (2021-2024). Her academic journey includes positions at TED University as Founding Department Chair (2012-2015) and at Middle East Technical University-Northern Cyprus Campus as Assistant Professor (2008-2012). Education: Ph.D (2007): Middle East Technical University, Dept. of Electrical and Electronics Engineering M.Sc (2001): Bilkent University, Dept. of Electrical and Electronics Engineering B.Sc (1998): Bilkent University, Dept. of Electrical and Electronics Engineering Professor Ozgun's research focuses on computational electromagnetics with emphasis on transformation electromagnetics, finite element methods, and radio wave propagation. Her work bridges theoretical electromagnetics with practical applications in radar systems, antenna design, and wireless communications. She has pioneered techniques using coordinate transformations to solve complex electromagnetic problems, developing innovative methods for modeling scattering phenomena, wave propagation, and metamaterial applications. Her research has significant implications for radar cross-section reduction, microwave imaging for medical applications, and 5G communication systems. Analysis of her recent publications reveals a consistent focus on advancing computational techniques in electromagnetics, particularly through transformation optics and domain decomposition methods. Her work shows increasing integration of machine learning approaches with traditional electromagnetic modeling, especially in radar cross-section analysis and inverse synthetic aperture radar techniques. There's also a strong emphasis on practical tools development, with multiple software packages released for public use including PETOOL, GO+UTD, and VectGUI. Scientific Awards: Hacetepe Science Award (2024) IEEE Antennas and Propagation Society Distinguished Lecturer (2025-2027) Top 2% of the 'career-long impact' category in the world's most influential scientists list (2023-2024) URSI elevation to senior membership (2020) IEEE elevation to senior membership (2013) Prof. Dr. Leopold B. Felsen Award for Excellence in Electromagnetics (2009) Professor Ozgun has supervised 15 graduate students to completion, with research spanning radar cross-section computation, electromagnetic scattering, and microwave imaging. She has secured multiple research grants including TÜBİTAK-TEYDEB and TÜBİTAK-ARDEB projects focused on high-frequency radar analysis and electromagnetic modeling. Her professional service includes significant editorial roles and leadership positions in URSI-Turkey where she served as President of the Steering Committee (2018-2023). She is actively involved in developing computational tools for electromagnetic education and research, with several MATLAB-based applications available for public use. Her research group maintains strong collaborations with international institutions including Penn State University, and she has established a productive research environment focused on advancing computational electromagnetics through innovation in numerical methods and practical applications.
Özgür Barış Akan is a Professor at the Department of Electrical and Electronics Engineering and the Director of the Center for neXt-generation Communications (CXC) at Koç University, Istanbul, Turkey. He leads multidisciplinary research in bio/nano/molecular/quantum/wireless communications , Internet of Everything (IoE) , 6G and THz wireless systems , and satellite/space communications . He also serves as Head of the Internet of Everything Group at the University of Cambridge, UK. PhD, Electrical and Computer Engineering, Georgia Institute of Technology (2004) MSc, Electrical and Electronics Engineering, Middle East Technical University (2001) BSc, Electrical and Electronics Engineering, Bilkent University (1999) His research integrates experimental and theoretical approaches in bio/nano/molecular communications , next-generation wireless systems , and signal processing . He has pioneered work on Internet of Everything , 5G/6G networks , and satellite communications , with applications in distributed social sensing and information theory. His publications and grants include multiple ERC grants (Consolidator and Proof of Concept), IBM Faculty Awards (2008, 2010, 2011), and the TÜBİTAK Science Award (2020) . He is an IEEE Fellow and holds leadership roles in academic societies and conferences. As a mentor, he has advised numerous students and researchers, though specific names are not listed in the available data. His editorial roles include Associate Editor for IEEE Transactions on Molecular, Biological, and Multi-scale Communications and Scientific Reports (Nature) .
Sinem Coleri is a Professor and Chair of the Department of Electrical and Electronics Engineering at Koc University, Turkey. She founded and directs the Wireless Networks Laboratory (WNL) and serves as director of the Ford Otosan Automotive Technologies Laboratory. Her academic journey includes a BS from Bilkent University (2000), and MSc/PhD in Electrical Engineering and Computer Sciences from UC Berkeley (2002/2005). Research areas span sixth-generation (6G) wireless communications, artificial intelligence-driven wireless networks, machine-to-machine communications, vehicular networks, and wireless networked control systems. Her work bridges telecommunications, computer networks, and AI-based wireless communication, reflecting interdisciplinary innovation. Awards include N2Women Stars (2022), IEEE Neal Shepherd Memorial Best Paper Award (2020), TÜBİTAK Incentive Award (2020), Higher Education Council Outstanding Achievement Award (2018), and TUBA-GEBIP Distinguished Young Scientist Award (2015). She serves as Editor-in-Chief of the IEEE Open Journal of Communications Society and holds IEEE Fellow and IEEE ComSoc Distinguished Lecturer titles.
Prof. Dr. Şeniz Ertuğrul is a faculty member at the College of Engineering , İzmir University of Economics , Department of Mechatronics Engineering. She previously held academic positions at Istanbul Technical University (ITU) from 1998–2018, progressing from Dr. Öğr. Üyesi to Professor. Her career includes visiting researcher roles at University of Michigan (2002) and University of Malta (2024). PhD in Mechanical Engineering (1996), Wichita State University MSc in Robotics Engineering (1992), Istanbul Technical University BSc in Mechanical Engineering (1988), Istanbul Technical University Her research focuses on system dynamics and control , particularly in humanoid robotics , marine vessel control , fuzzy logic , neural networks , and intelligent systems . She has published over 15 articles in journals like Applied Soft Computing and Ocean Engineering , with recurring themes in robot manipulators , collision avoidance algorithms , and adaptive control . Her work has been cited in studies on autonomous maritime navigation , driver modeling , and industrial optimization . She has received 14 scientific awards , including TÜBİTAK-National Instruments Third Place (2015) and WSU Mechanical Engineering Project First Prize (1993). Her 18+ advisees have explored topics like humanoid robot trajectory planning , ship motion control , and smart actuator design . Current projects include Series Elastic Actuator Development (2023–2024) and Humanoid Robot Cognitive Modeling (2021–2023).
Ender Bulgun is a Professor in the Department of Textile Engineering at Dokuz Eylül University's Faculty of Engineering. She has established a distinguished academic career spanning over two decades, progressing from assistant professor in 1997 to associate professor in 2004, and achieving full professorship in 2009. Her academic journey includes significant contributions at Istanbul Technical University (2005-2007) and the Istanbul Fashion Academy (2008-2009). Her educational background includes: Bachelor's degree in Textile Engineering from Ege University Master's degree in Textile Engineering (Ready-to-Wear option) from Ege University (1990) Doctoral degree in Ready-to-Wear from Ege University (1994) Additional studies in Textile Design at Dokuz Eylül University's Faculty of Fine Arts during graduate studies Professor Bulgun's research bridges traditional textile engineering with cutting-edge technological applications. Her work demonstrates a clear evolution from foundational textile studies toward increasingly sophisticated integrations of artificial intelligence and smart technologies in fashion design. She has published 60 articles, with 34 appearing in international journals, establishing her as a significant contributor to her field. Her recent publications reveal a strong emphasis on intelligent fashion systems, particularly the application of neural networks and genetic algorithms to fashion recommendation platforms and styling. There is also consistent research into specialized functional garments, especially protective clothing for firefighters, demonstrating practical applications of smart textiles in critical safety contexts. Professor Bulgun maintains active research leadership through ongoing TUBITAK-TEYDEB and SANTEZ projects where she serves as both advisor and executor. Her administrative experience includes serving as ERASMUS coordinator at Dokuz Eylül University's Faculty of Engineering from 2010-2012, demonstrating her commitment to international academic collaboration.
Sinem Güneşoğlu is a Professor at Gaziantep University's Naci Topcuoglu Vocational School, Department of Textile, Clothing, Footwear and Leather. She holds a doctorate (2000-2005), master's (1997-1999), and bachelor's (1992-1996) in Textile Engineering from Uludağ University. Her academic career began as a Research Assistant at Uludağ University (1997-2008), followed by roles as Lecturer and Professor at Gaziantep University. Her research focuses on textile comfort properties , fabric coating technologies , thermal regulation in textiles , and quality control in garment manufacturing . Key innovations include micro-cracking techniques for breathable polyurethane coatings, conductive textile nanocomposites, and thermal optimization in performance fabrics. Publications emphasize empirical modeling of textile behaviors, with recurring themes in thermal dynamics, functional coatings, and manufacturing efficiency. She received the 2012 First Prize at the 4th International R&D Project Market Summit for innovations in conductive textiles. Managed TÜBİTAK-funded projects including 'Denim Comfort Enhancement' and 'Polypropylene Sportswear Development'. Education : Ph.D. Textile Technology, Uludağ University (2005) M.Sc. Textile Engineering, Uludağ University (1999) B.Sc. Textile Engineering, Uludağ University (1996) Projects : TÜBİTAK: Denim comfort improvement via micro-cracking (Lead) TÜBİTAK: Polypropylene sportswear optimization (Researcher) Professional Affiliations : Chamber of Textile Engineers (since 1996) Uludağ University Engineering Alumni Association
Dr. Alper Çelikel is an Associate Professor at the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, İstanbul Okan University. He specializes in machine learning, artificial intelligence, and data science with specific focus areas including natural language processing, computer vision, and optimization of neural network architectures. Education: PhD in Computer Science from Boğaziçi University (2014) Research Focus: Deep learning, cross-lingual systems, and multi-modal learning Leadership: Director of Research and Development Policy at İstanbul Okan University His recent research explores hybrid CNN-Transformer architectures, federated learning in healthcare, and explainable AI frameworks. He has received prestigious awards including the TÜBİTAK Career Award (2018) and Turkish Academy of Sciences Young Scientist Award (2015). Dr. Çelikel has supervised multiple graduate researchers and actively contributes to curriculum development and academic quality assurance initiatives. TÜBİTAK Career Award (2018) Turkish Academy of Sciences Young Scientist Award (2015) As an academic leader, he chairs the Research and Application Centers Directorate and contributes to university-wide policy development including information security, education, and research protocols.
Jale KALEMKUŞ is an Assistant Professor at Kafkas University's Vocational School of Social Sciences, Department of Child Care and Youth Services. She has been serving as a full-time faculty member since 2017 and currently holds the position of Department Chair (2020-present). Her academic career at Kafkas University spans multiple roles including Lecturer and Doctoral Faculty Member, with extensive teaching experience across various early childhood education courses. Education: PhD in Classroom Education, Institute of Educational Sciences, Necmettin Erbakan University (2014-2018) Master's Degree in Classroom Teaching, Institute of Social Sciences, Selçuk University (2006-2009) Bachelor's Degree in Basic Education, Faculty of Education, Kocaeli University (2002-2006) Jale KALEMKUŞ specializes in Science Education with particular focus on early childhood development, special education, and educational technology applications. Her research explores metacognition, argumentation techniques, and the integration of digital tools in science instruction. She has developed expertise in analyzing children's perceptions of scientific concepts and investigating effective teaching methodologies for primary education. Her publication record shows a strong trend toward educational technology integration in science education, with increasing focus on artificial intelligence applications, augmented reality, and digital storytelling in recent years. The research consistently addresses practical classroom applications while maintaining strong theoretical foundations in cognitive development and learning sciences. Scientific Awards: Best Researcher Award from ScienceFather (2025) TÜBİTAK Publication Incentive Award (2024) Academic Incentive Award from Kafkas University (2024) Academic Incentive Award from Kafkas University (2023) Dr. KALEMKUŞ has demonstrated significant impact in her field with 116 citations across her 32 publications. She has taught over 140 courses spanning early childhood development, special education principles, science and mathematics education, and learning-teaching techniques. Her collaborative research network includes scholars from Ordu University, Necmettin Erbakan University, and various international institutions. Her professional activities extend to creating traditional educational materials showcased in multiple national exhibitions (2013-2016), demonstrating her commitment to both digital and hands-on educational approaches. She maintains an active research agenda focused on 21st century learning skills and innovative science teaching methodologies.
Türkan MALKOÇ serves as an Assistant Professor and Department Head at Kafkas University's Kağızman Vocational School within the Department of Medical Services and Techniques since 2018. Her academic career spans materials physics research with focus on shape memory alloys and magnetic properties, while teaching opticianry courses including Opticianry I-III, Refraction, Contact Lens, and Quality Assurance. Education: PhD in Physics (2011-2014), Fırat University, Institute of Science Associate Degree in Law (2011-2013), Anadolu University, Open Education Faculty MSc in Physics (1999-2002), Fırat University, Institute of Science Bachelor of Arts in Physics (1995-1999), Fırat University, Faculty of Arts and Sciences Research Focus: Dr. MALKOÇ specializes in Materials Physics with emphasis on shape memory alloys, particularly ferromagnetic variants. Her work investigates the relationship between thermal treatments, microstructure, and magnetic behavior in Heusler alloys (NiMnSn, FeCrV systems) and Co-based alloys. She employs both experimental methods like thermal analysis and crystal structure characterization, alongside theoretical modeling approaches including the Transverse Ising Model. Her research has significant implications for developing advanced magnetic shape memory materials with potential applications in sensors and actuators. Publication Trends: Her 11 publications (6 journal articles, 5 conference papers) demonstrate consistent focus on shape memory alloys since 2003, with increased specialization in magnetic shape memory materials since 2014. Recent work centers on Heusler alloys, particularly examining electron concentration effects and thermal treatment impacts on phase transformation behavior. The research shows strong international recognition with 94 total citations and an h-index of 3. Research Leadership: Dr. MALKOÇ has led two significant research projects as Principal Investigator: 'Thermal treatment effect on NiMnSn-based magnetic shape memory alloy' (2022-2023) and 'Modeling of Cr doping effect on Fe50−xCr25+xV25 Heusler alloy' (2022-2023). She previously contributed as Researcher to 'Production and investigation of ferromagnetic shape memory alloys' (2013-2015). Her collaborative network spans multiple Turkish universities including Fırat University, Gazi University, and Bitlis Eren University, with frequent collaboration with researchers like Fethi Dağdelen and Mediha Kök.
