Prof. Dr. Funda Akleman Yapar is a faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University , holding the Professor rank. She currently serves as Vice Dean (2023–2026) and previously held administrative roles including Deputy Head of Department (2020–2023). Her academic career spans 25 years at the same institution, starting as a Research Assistant in 1997. PhD in Electronics and Communication Engineering (1998–2002), Istanbul Technical University Her research focuses on electromagnetic engineering , microwave technologies , and antenna systems , with recent work on: 6G high-altitude platform antenna design Microwave metamaterials for solar cells Waveguide filter synthesis via inverse problems Radio propagation analysis in solar-affected stratospheric channels She has 50+ research outputs, including journal articles and conference papers, and leads projects like Three-Dimensional Radio Wave Propagation Analysis on Perfect Conductor Rough and Smooth Terrain (2014–2020). Her methodological expertise includes finite-difference time-domain (FDTD), parabolic equation (PE) modeling, and generalized scattering matrix techniques.
Assoc. Prof. FİDEL ÇAKMAK is an academic at the Department of Foreign Language Education, Faculty of Education, Alanya Alaaddin Keykubat University. His academic journey includes roles as a lecturer and associate professor at institutions like Mersin University and Alanya Alaaddin Keykubat University. He holds a Doctorate from Boğaziçi University (2014) and has extensive experience in teacher training and curriculum development. His research focuses on mobile-assisted language learning (MALL), artificial intelligence (AI) in education, affective factors in language learning, and digital pedagogy. Notable projects include developing in-service training programs for educators and investigating the impact of AI on teacher well-being. He has also contributed to international journals like ReCALL and Computers in Human Behavior Reports . Prof. Çakmak has served on editorial boards, including CALL-EJ and Language and Technology , and is a member of organizations like EUROCALL and TESOL. His work emphasizes integrating technology with traditional teaching methods to enhance language acquisition and teacher effectiveness.
Prof. Yücel Yemez is a faculty member at the Department of Computer Engineering, School of Engineering, Koç University. His research focuses on machine learning, computer vision, and human-robot interaction. Education: PhD in Computer Engineering, Boğaziçi University (1997) MSc in Computer Engineering, Boğaziçi University (1992) BS in Computer Engineering, Middle East Technical University (1989) Research Interests: Machine Learning Vision and Graphics Deep Learning for Computer Vision 3D Vision and Graphics Human-Robot Interaction Affective Computing
Hatice Köse is a Professor at Istanbul Technical University in the Department of Artificial Intelligence and Data Engineering within the College of Computer and Informatics. She holds a PhD in Computer Engineering from Boğaziçi University and has been a key figure in advancing AI applications for human-centered technologies, particularly in assistive robotics and human-computer interaction. PhD in Computer Engineering, Boğaziçi University (2000–2007) MSc in Computer Engineering, Boğaziçi University (1997–2000) BSc in Computer Engineering, Boğaziçi University (1993–1997) Her research focuses on Artificial Intelligence , Human-Robot Interaction , and Assistive Technologies , with a strong emphasis on applications for children with autism and hearing impairments. She explores affective computing, emotion recognition using facial and physiological signals, and multimodal interaction frameworks. Her work integrates deep learning, signal processing, and robotics to develop inclusive technologies. Recent publications highlight trends in lightweight AI models for edge devices , gaze and emotion detection in children , and explainable machine learning in medical diagnosis . Her articles span top venues in AI, robotics, and multimodal interaction, reflecting a consistent focus on socially beneficial AI systems. EELISA Project Diversity Reward (2023) Best Paper Award, INISTA 2020 İTÜARI Teknokent Graduation Design Project Competition (2016) Necdet Eraslan Project Competition Honorable Mention (2011) Professor Köse has led numerous research projects funded by TÜBİTAK, EU, and university programs, including initiatives on AI-enabled manufacturing, teaching technologies to children with neurodevelopmental disorders, and sensor-based digital biomarkers for early detection. She has supervised multiple graduate students and research assistants, contributing to the development of next-generation AI researchers. She has also held administrative leadership roles such as Department Head and Education Coordinator. She is actively involved in research labs and teams focusing on socially assistive robotics , affective computing , and AI for accessibility , fostering interdisciplinary collaboration across computer science, psychology, and education.
Dr. Oğuz Taşdemir serves as a Lecturer in the Department of Electrical and Electronics Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture since 2025, following his tenure as full-time teaching staff at the university's Kaman Vocational School (2017-2025). His academic foundation includes PhD and MSc degrees in Electrical and Electronics Engineering from Gazi University and Nevşehir Hacı Bektaş Veli University respectively. His educational credentials: PhD in Electrical and Electronics Engineering, Gazi University (2020-2024) MSc in Electrical and Electronics Engineering, Nevşehir Hacı Bektaş Veli University (2017-2020) BSc in Electrical and Electronics Engineering, Kırıkkale University (2009-2010) Taşdemir's research integrates artificial intelligence with renewable energy systems, specializing in photovoltaic/wind power prediction, distributed generation optimization, and electrical facility analysis. His methodology leverages metaheuristic algorithms (JAYA, PSO, ABC) and neural networks to enhance renewable energy forecasting accuracy and power system efficiency, with particular emphasis on environmental factors like PM10 particulates and seasonal variations affecting solar/wind output. His 12 publications (2021-2025) reveal a concentrated research trajectory: 70% focus on AI-driven renewable energy solutions (primarily photovoltaics), 20% on power system optimization, and 10% on electrical control systems. The works demonstrate progressive technical sophistication from foundational microgrid studies (2021) to recent innovations in bifacial PV analysis and hybrid storage optimization (2025), consistently applying computational intelligence to energy challenges. As academic advisor, he has co-supervised two master's theses on photovoltaic forecasting and power system optimization. His research portfolio includes six projects: principal investigator for a TÜBİTAK-funded study on bifacial photovoltaic panels (2025-2027), and researcher roles in five projects addressing PV cooling techniques, hydrogen heating systems, and battery comparisons. His teaching encompasses core electrical engineering courses including Power Transmission, Fault Analysis, and Electromechanical Control Systems.
Murat Yilmaz is an Associate Professor at the Department of Computer Engineering , Faculty of Engineering , Gazi University , Turkey. With over 14 years of industrial experience in software development, including roles at Huawei Research Centre and HAVELSAN A.Ş., he bridges academic research with practical software methodologies. Research Focus : Gamification in software engineering, agile transformations, virtual reality (VR) for training, and human-computer interaction. Industrial Collaboration : Partners include Huawei, HAVELSAN A.Ş., Kreatin Studios, and Portakal Technologies. Expertise : Software architecture, empirical research, motivational models, and digital governance in the metaverse. His recent publications explore gamification in sleep health, bias in AI systems, metaverse applications, and microservices decomposition. He employs explainable AI and VR for software process improvement, with a strong emphasis on productivity, fairness, and efficiency in development teams.
Dr. Ismail Sengor Altingovde serves as an Associate Professor in the Department of Computer Engineering within the College of Engineering at Middle East Technical University (METU) in Ankara, Turkey. Previously, he completed his B.S. and M.S. degrees at Bilkent University, followed by a Ph.D. in Computer Engineering from Bilkent in 2009. His academic journey includes post-doctoral research at Bilkent University (2009-2011) and L3S Research Center in Hannover, Germany (2011-2012) before joining METU. His educational background includes: B.S. in Computer Engineering, Bilkent University (1999) M.S. in Computer Engineering, Bilkent University (2001) Ph.D. in Computer Engineering, Bilkent University (2009) - Thesis: "Improving The Efficiency of Search Engines: Strategies for Focused Crawling, Searching, and Index Pruning" Dr. Altingovde's research focuses on Information Retrieval , particularly Web Search and Mining, Big Data analysis, and Database Management Systems. His work addresses critical challenges in search result diversification, query performance prediction, and scalable indexing techniques. He has pioneered approaches in handling zero-result queries, integrating social signals into search, and developing neural information retrieval models. His research bridges theoretical algorithm design with practical implementations for real-world search engines. His publication record demonstrates a strong trajectory in search technologies, with recent work emphasizing neural information retrieval, social media integration in search, and cross-lingual search systems. The research shows consistent focus on improving search relevance while addressing scalability challenges in modern web-scale systems. His work spans both theoretical contributions and practical implementations with industry relevance. Among his notable recognitions: Distinguished Young Scientist 2016 award (GEBIP) from Turkish Academy of Sciences (TUBA) 2013 Yahoo! Faculty Research and Engagement Program (FREP) award (selected from 27 researchers across 24 countries) Dr. Altingovde actively contributes to the research community through professional service including co-chairing ECIR 2017 short paper track and serving on program committees for CIKM, SIGIR, and Web Science conferences. He has secured multiple research grants from TÜBITAK (Scientific and Technological Research Council of Turkey) including projects on query result caching, semantic relationships for search scalability, and domain-specific search engines. His work connects academic research with practical applications through collaborations with industry partners like Yahoo! Research. He leads research within METU's Computer Engineering Department, contributing to projects like LivingKnowledge (focusing on fact, opinions and bias in time) and previously participating in European projects like MUSCLE (Multimedia Understanding through Semantics, Computation, and Learning). His laboratory work emphasizes experimental validation of search algorithms with real-world datasets and practical implementations.
Elif Yıldırım is a Researcher at the Computer Engineering Department , Istanbul Technical University . She is currently pursuing her PhD in Computer Engineering after completing a Master's degree in Computer Engineering (2022) and a Bachelor's degree in Industrial/Computer Engineering (2016-2020). PhD in Progress: Computer Engineering, Istanbul Technical University (2025) Master's: Computer Engineering, Istanbul Cultural University (2022) Bachelor's: Industrial Engineering & Computer Engineering, Marmara University (2017); Computer Engineering, Istanbul City University (2016) Her research focuses on Statistics and Machine Learning with applications in Health Informatics and Public Health . She specializes in Survival Analysis, Regression Modeling, and Psychometric Scale Validation , particularly in post-pandemic contexts and cross-cultural adaptations. Recent trends show her work spans Nutrition Literacy , Long COVID Prediction , and Joint Modeling of Longitudinal Data . She has published in journals like Frontiers in Nutrition and eBioMedicine while maintaining a Scopus h-index of 22 .
Dr. Erke Arıbaş is a Lecturer at Istanbul Technical University's Faculty of Computer and Informatics , specializing in the Department of Computer Engineering . His research spans interdisciplinary domains including artificial intelligence, simulation modeling, and biophysics applications. Education: PhD in Computational Science and Engineering (2001-2013), Istanbul Technical University MA in Information Systems Design and Management (2001), Istanbul Technical University (Evening Education) BS in Physics (1992-1996), Istanbul Technical University BS in Physics (1996-2000), University of Missouri-Rolla His research focuses on generative AI applications , autonomous systems , and multi-phase flow simulations with thermal modeling. He has contributed to fields ranging from smart city cybersecurity to biomechanical modeling of blood flow. Article trends show expertise in AI-personality modeling integration , unmanned aerial vehicle design , and biofluid dynamics with specialized focus on red blood cell aggregation and arterial hemodynamics.
Prof. Dr. Filiz Kalelioğlu is a Professor in the Computer and Instructional Technologies Education program at Başkent University. With a PhD in Educational Technologies from Ankara University (2011) and postdoctoral research at King's College London (2017), she has established herself as a leading researcher in computational thinking, programming education, and educational technology. Her work spans multiple educational levels from primary to higher education, with a particular focus on integrating technology into teaching practices. Her educational background includes: Postdoctoral Research (2017) in Computer Science Education at King's College London Master's Degree (2022) in Computer Engineering from Başkent University PhD (2011) in Educational Technologies from Ankara University Master's Degree (2007) in Computer and Instructional Technologies Education from Middle East Technical University Bachelor's Degree (2005) in Computer and Instructional Technologies Education from Başkent University Prof. Kalelioğlu's research primarily focuses on computational thinking development , programming education , and innovative teaching methods in technology-enhanced learning environments. Her work examines how students and teachers develop computational thinking skills through various programming platforms, including block-based and text-based programming languages. She has conducted extensive research on flipped classrooms, physical computing, and the integration of computational thinking across different subject areas. Her studies often employ mixed-methods approaches to understand both cognitive and affective aspects of technology-enhanced learning. Analysis of her 15 most recent publications reveals a strong emphasis on computational thinking assessment and practical implementation strategies across educational contexts. Her research spans primary, secondary, and higher education settings, with increasing focus on inclusive practices for students with disabilities and pandemic-era educational challenges. Recent work shows particular interest in early childhood STEM education, physical programming tools, and the relationship between computational and mathematical thinking. Prof. Kalelioğlu has supervised numerous graduate students and collaborated on multiple research projects including: "Türkiye'de Kaliteli Çıraklık ve Mesleki Eğitim Yoluyla Mülteciler ve Ev Sahibi Toplulukların İstihdama Erişimlerinin Kolaylaştırılması" (2024-2028) "Özel Gereksinimli Yükseköğretim Öğrencilerinin Akademik ve Psiko-Sosyal Açıdan Güçlendirilmesi" (2024) "Social inclusion for seniors by sport" (2023) "Digital Ecosystem for Teacher Training Project" (2024) Her teaching expertise includes courses on Open and Distance Learning, Multimedia Instructional Design, Educational Technologies, Innovative Technologies in Education, and Blended Learning Design.
Assoc. Prof. Fatih Daricik is an Associate Professor in the Department of Mechanical Engineering at Rafet Kayış Faculty of Engineering, Alanya Alaaddin Keykubat University. His academic journey includes previous positions at Adana Science and Technology University and Cumhuriyet University, with extensive research experience in composite materials and solid mechanics. He currently holds administrative responsibilities having served as Department Head and Vice Dean. Education: Doctorate in Mechanical Engineering from Cumhuriyet University (2017) Master's in Mechanical Engineering from Cumhuriyet University (2011) Bachelor's in Mechanical Engineering from Çukurova University (2007) Dr. Daricik's research focuses on composite materials with particular expertise in fracture mechanics of laminated composites under various environmental conditions. His work spans multiple domains including additive manufacturing of polymer materials, carbon nanotube-reinforced composites, PEM fuel cell applications, and biomechanical analysis of vascular structures. He has developed strong capabilities in both experimental characterization and numerical simulation techniques, with recent work showing increasing interdisciplinary collaboration between mechanical engineering and medical fields, particularly in cardiovascular applications. His research demonstrates consistent methodological rigor in investigating material behavior under static, dynamic, and environmental loading conditions. Analysis of Dr. Daricik's publication record reveals a clear evolution from fundamental composite mechanics to specialized applications in energy systems and biomedical engineering. Early work focused on basic fracture behavior of composite laminates, while recent publications demonstrate sophisticated applications in fuel cell technology and cardiovascular biomechanics. His research consistently addresses how environmental factors affect material properties, with growing emphasis on novel manufacturing techniques like additive manufacturing. The interdisciplinary nature of his recent work, particularly the integration of fluid-structure interaction with artificial intelligence for aortic aneurysm analysis, represents a significant expansion of his research scope. Research Recognition: Active reviewer for European Mechanical Science journal Multiple nationally funded research projects Patent for 3D-printed active food packaging Dr. Daricik has successfully led several significant research projects, including an interdisciplinary study on aortic blood flow conducted jointly with cardiovascular surgery departments. His laboratory capabilities include advanced mechanical testing equipment for composite characterization and 3D printing facilities for additive manufacturing research. He has secured funding for projects related to fracture behavior of additively manufactured polymers, PEM fuel cell bipolar plates, and cardiovascular biomechanics, demonstrating both technical expertise and the ability to secure competitive research funding. Dr. Daricik maintains active research collaborations across engineering disciplines and has established comprehensive laboratory facilities capable of conducting advanced mechanical testing under various environmental conditions. His research group specializes in both experimental characterization and numerical simulation of material behavior, with particular expertise in fracture mechanics analysis and additive manufacturing applications.
Mehmet Ali Yüzbaşıoğlu is a Lecturer at Gaziantep University's Oğuzeli Vocational School in the Law Department, where he has been teaching since 2013. His academic career spans multiple disciplines including accounting, mathematics, law, and computer science, reflecting his diverse educational background. He teaches courses in financial management, cost accounting, computer programming, and various law subjects. His research interests primarily focus on accounting systems, forensic accounting, and the integration of technology in accounting practices. He has published extensively on computerized accounting systems, cryptocurrency accounting, and the legal aspects of financial management. His work bridges the gap between traditional accounting practices and modern technological advancements, with particular attention to Turkish legal frameworks. His recent publications demonstrate a strong trend toward examining the intersection of accounting, technology, and law, with significant focus on cryptocurrency accounting, data protection in accounting systems, and green finance. His research shows increasing specialization in how digital transformation affects traditional accounting practices, particularly within the Turkish regulatory environment. TUBITAK 2211-A Doctoral Scholarship (2018) Yüzbaşıoğlu has served in various administrative roles at Gaziantep University, including Department Head and Vocational School Vice Rector. His research projects primarily focus on mathematics education techniques, though his publications indicate a stronger research trajectory in accounting and finance. He has led six research projects related to mathematics education, demonstrating his commitment to pedagogical innovation despite his primary research focus shifting toward accounting. His academic profile reflects a multidisciplinary approach, with affiliations across mathematics, computer science, law, and business administration departments. This diverse background enables him to approach accounting problems from multiple perspectives, particularly valuable in examining the technological and legal dimensions of modern accounting practices.
Hüseyin Kafes is an Associate Professor at Akdeniz University, Faculty of Education , specializing in English Language Teaching . With over 15 years of academic experience, he has held roles including Assistant Professor (2013–2019) and Lecturer (2009–2013) at Akdeniz University, and Instructor positions at Anadolu University (1999–2009) and Afyon Kocatepe University (1994–1999). His research spans linguistics, academic discourse analysis, EFL teaching methodologies, and 21st-century skill integration . PhD in English Language Teaching (Anadolu University, 2009) MA in English Language Teaching (Anadolu University, 1998) BA in English Language and Literature (Selçuk University, 1989) Research Interests encompass authorial stance in academic writing, metadiscourse features , code glosses in multilingual contexts, and impact of digital tools like podcasts and Wattpad on language learning. His work frequently examines cultural and discoursal influences on writing, pronunciation anxiety, and classroom technology integration. Recent publications highlight EFL learners' reading habits during the pandemic, 21st-century skill assessment in ELT coursebooks, and network analysis of academic achievement. He leads TUBITAK-funded projects on pronunciation training and podcast-based learning , supervising 6 postgraduate theses.
Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.
Associate Professor RECEP BİNDAK is a faculty member at Gaziantep University's Faculty of Education, Department of Mathematics and Science Education. With a Doctorate in Mathematics from Dicle University (2004), he has built an extensive academic career spanning over two decades, including positions at Mardin Artuklu University and Gaziantep University's Technical Sciences Vocational School. His educational background includes a Doctorate (2000-2004) from Dicle University's Institute of Sciences in Mathematics, a Master's degree (1994-1997) from Yuzuncuyil University's Institute of Sciences in Mathematics, and a Bachelor's degree (1987-1991) in Mathematics Teaching from Dicle University's Faculty of Education. BINDAK's research focuses on mathematics education, statistics, and educational psychology, with particular emphasis on mathematical self-efficacy, problem-solving attitudes, measurement techniques, and quantitative research methods. His work bridges theoretical statistical concepts with practical educational applications, making significant contributions to both fields. He has published extensively on topics ranging from mathematical justification skills in middle school students to psychometric properties of Likert scales and teacher burnout predictors. His recent publications (2018-2024) reveal a strong trend toward interdisciplinary research combining mathematics education with psychological factors affecting student performance. The majority of his work centers on middle school mathematics education, examining variables like self-efficacy, problem-solving attitudes, and mathematical justification skills. He also maintains active research in statistical methodology, particularly in bootstrap methods and nonparametric techniques, demonstrating his dual expertise in both educational theory and quantitative analysis. TUBITAK Publication Incentive Award (2011) TUBITAK Publication Incentive Award (2012) Professor BINDAK has supervised 22 graduate theses (1 doctoral and 21 master's), reflecting his commitment to mentoring the next generation of researchers. His students have explored diverse topics within mathematics education, including mathematical connection self-efficacy, geometric justification skills, and the relationship between school climate and teacher burnout. His teaching portfolio spans doctoral, master's, undergraduate, and associate degree levels, with courses focused on statistics, probability, data analysis, and mathematical research methods. As evidenced by his extensive publication record and thesis supervision, Professor BINDAK maintains an active research laboratory focused on quantitative educational research, with particular attention to measurement theory, statistical methodology in education, and mathematics learning processes. His work continues to influence both educational practice and research methodology in Turkey's academic community.
