جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +۱۲ مورد دیگر

Burak Berk Üstündağ is a Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a key academic figure at ITU since the 1990s, progressing through the ranks from Research Assistant to full Professor, a position he attained in 2019. He has also held significant administrative roles, including Director of the Application and Research Center and membership in the ITU Informatics Institute Management Board. PhD, Control and Computer Engineering, Istanbul Technical University (2000) MSc, Control and Computer Engineering, Istanbul Technical University (1994) BSc, Electrical Engineering, Istanbul Technical University (1991) His research is deeply rooted in Artificial Intelligence , with a focus on Neural Networks , Wavelet-based models , and machine learning applications in environmental, agricultural, and maritime domains. He has developed frameworks like PECNET for multivariate time series forecasting and has pioneered work in cognitive communication systems, particularly for underwater and agricultural monitoring. His work bridges theoretical AI models with real-world applications in precision agriculture, water quality monitoring, and ionospheric forecasting. The most recent articles show a strong trend in applying deep learning (LSTM, DNNs) and hybrid models (Wavelet-NN) to complex, real-time systems. His research spans environmental data science , smart agriculture , underwater acoustics , and cognitive risk management . He emphasizes performance, real-time operation, and intelligence quantification in AI systems. His scientific awards include: Outstanding Young Scientist of the Year (2004) Junior Chamber International - Year's Professional Award (2003) Yılın Meslek Ödülü (2002) Service Award from Air Force Academy (2000) Gelişimine Katkı Ödülü from ITU (1996) Prof. Üstündağ has actively supervised research and led multiple projects as Principal Investigator, including national and institutional grants in AI-driven software systems, social media robots, real-time cognitive risk management, and elderly support devices. He has advised students in AI, neural networks, and intelligent systems, though specific names are not listed. His lab activities are centered around the Software Development Laboratory and cognitive systems research under various funded projects.

Mustafa Sertمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Machine Learning
• Semantic Multimedia
• +۵ مورد دیگر

Mustafa Sert , currently serving as Associate Professor at Başkent University's Department of Computer Engineering and as Vice Dean of the Faculty of Engineering, has made significant contributions to audio signal processing, machine learning, and semantic multimedia. He earned his PhD (2006), MSc (2001), and BSc (1997) in Computer Engineering from Gazi University, supervised by prominent academics. PhD: Gazi University (2006) MSc: Gazi University (2001) BSc: Gazi University (1997) His research focuses on audio-visual content analysis , multimodal information fusion , and machine learning applications in semantic multimedia systems. He leads projects at the intersection of deep learning , speech processing , and acoustic pattern recognition , with work appearing in venues like IEEE Access, ACM Multimedia conferences, and Signal Processing and Communications Applications Conference (SIU). Recent publications demonstrate trends in automated audio captioning , medical speech analysis , and educational data mining , with applications spanning mental health detection, chatbot development, and reviewer selection systems. His work integrates transformer architectures , convolutional networks , and fuzzy decision-making models . Scientific Recognitions: Best Paper Award (7th Eurasian Congress on Emergency Medicine 2021) Outstanding Reviewer Awards (IEEE ICME 2020, 2021) Outstanding Area Chair Award (ACM Multimedia 2024) Academic Leadership includes roles as Senior IEEE Member, technical committee board positions in IEEE CTSoc divisions, and ACM membership. He supervises over 20 graduate students in topics ranging from depression detection through speech to geothermal permeability estimation , while maintaining active involvement in conference organization and journal reviewing for top-tier publications.

• Smartphone Addiction
• Cyberloafing
• Cyberbullying
• +۹ مورد دیگر

Dr. Deniz Mertkan GEZGİN serves as an Associate Professor in the Department of Computer Education and Instructional Technology within the Faculty of Education at Trakya University. His academic journey includes post-doctoral studies at Middle East Technical University (2016) following doctoral and master's degrees in Computer Engineering from Trakya University (2011, 2006), and a bachelor's degree from Çanakkale Onsekiz Mart University (1999). Doctoral Degree: Trakya University - Computer Engineering (2011) Master's Degree: Trakya University - Computer Engineering (2006) Bachelor's Degree: Çanakkale Onsekiz Mart University - Computer Engineering (1999) High School: İzmir Selçuk High School - Science and Mathematics (1995) His research centers on digital behavior pathologies, with primary focus on smartphone addiction, nomophobia, and Fear of Missing Out (FoMO) among students. Secondary interests include cyberloafing, cyberbullying, mobile learning, and AI applications in education. His work demonstrates strong interdisciplinary connections between computer science, psychology, and educational technology, particularly examining how technology use impacts academic performance and mental health. Publications reveal consistent productivity in high-impact journals like Computers in Human Behavior and British Journal of Educational Technology, with recent emphasis on AI-driven addiction prediction (2025) and AIlessphobia scale development (2024). His research methodology frequently employs structural equation modeling and latent profile analysis to explore complex behavioral relationships. Guest Editor for Frontiers in Public Health (2023) Science Board member for International Conferences (2014, 2016) As an active academic contributor, he serves as referee for 40+ journals including Computers in Human Behavior, PLOS One, and Cyberpsychology, demonstrating recognition in both computer science and psychological research communities. His editorial work focuses on digital behavior pathologies and educational technology applications.

• Early Childhood Education
• STEM Education
• Science and Technology Education
• +۳ مورد دیگر

Ali İbrahim Can GÖZÜM serves as an Associate Professor in the Department of Preschool Education at Kafkas University's Dede Korkut Faculty of Education. With dual doctoral degrees in Preschool Education from Gazi University and Science Education from Ondokuz Mayıs University, he specializes in early childhood science and technology education. His academic journey includes progressive appointments from Research Assistant (2013) to Associate Professor (2022), alongside administrative roles including Dean Assistant and Career Center Director. His research focuses on early childhood STEM education , digital game mediation , and cognitive development , reflected in over 90 publications with significant international impact (Google Scholar h-index: 18). Current projects examine flipped classroom models in language education and nature-based learning environments. His editorial leadership includes Editor-in-Chief of e-Kafkas Journal of Educational Research and Associate Editor for Frontiers in Education 's STEM section. Notable scientific recognition includes TUBITAK's Publication Incentive Award. His advising includes master's theses on self-regulation and number sense development. Active in professional development, he conducts workshops on digital parenting and AI libraries, demonstrating commitment to bridging research with practical educational applications.

• Instructional Technologies
• Artificial Intelligence in Education
• STEM Education
• +۳ مورد دیگر

Dr. Serkan Düzgün is an Associate Professor at Gazi University's Faculty of Education, Department of Basic Education, specializing in Classroom Education. He has previously worked as a part-time lecturer at Ankara Hacı Bayram Veli University and Ankara Yıldırım Beyazıt University. PhD, Master's, and Bachelor's degrees from Gazi University Active in instructional technologies, AI in education, STEM, and neuroscience applications Key contributor to Turkey's national education projects and civil society initiatives His research focuses on the integration of artificial intelligence in pedagogical practices, robotic coding platforms for K-12 education, and the cognitive impacts of neuroscience-based teaching methods . Recent work examines distance education challenges during the pandemic, learning style adaptations, and self-regulated learning in virtual environments. Current publications emphasize AI-driven educational tools , technology-enhanced literacy instruction , and virtual classroom dynamics . His 15 most recent articles (2021-2024) span topics like robotic coding in STEM education, emotional intelligence in remote teaching, and AI applications in qualitative research. Dr. Düzgün has conducted 108 projects, advised 3 theses, and actively participates in open-access initiatives and UN Sustainable Development Goals implementation through educational technology. He also played a pivotal role in establishing the "Voice of Turkish" Radio at Yunus Emre Institute.

• Bioinformatics
• Computational Biology
• Machine Learning
• +۵ مورد دیگر

Zafer AYDIN is an Associate Professor at the Computer Engineering Department of Abdullah Gul University. He obtained his B.Sc. and M.Sc. from Bilkent University (Turkey) and his Ph.D. from Georgia Institute of Technology (USA). His research focuses on machine learning applications in bioinformatics, health informatics, and industrial problems. PhD: Georgia Institute of Technology (2008) Postdoc: University of Washington (2008-2011) Previous: Assistant Professor at Bahcesehir University (2011-2014) Research Interests include protein structure prediction, medical imaging analysis, network security, and financial data modeling. His work spans both fundamental bioinformatics research and practical industrial applications. Scientific Awards : 2nd in T0 phase of Respiratory Viral Dream Challenge (2016-2017) 1st in both question 1 and 2 prediction tasks of COVID-19 DREAM Challenge (2020-2021) Teaching includes undergraduate courses in Bioinformatics, Machine Learning, and Algorithms, and graduate courses in Deep Learning and Pattern Recognition.

• Artificial Intelligence
• Robotics
• Computer Vision
• +۴ مورد دیگر

Hulya Yalcin is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University. Her research focuses on artificial intelligence applications in robotics, computer vision, and precision agriculture. She leads projects in musculoskeletal modeling, plant phenology monitoring, and assistive technologies for elderly care. Her work contributes to UN Sustainable Development Goals related to innovation, health, and sustainable agriculture. Key projects include using deep learning for crop yield estimation and developing exergaming systems to improve elderly health. She has authored 52 research outputs and secured funding for initiatives like AISENSE (EU-funded exergames) and plant classification via computer vision. Publications span robotics control, medical engineering, and agricultural informatics. Notable contributions include knee orthosis gait learning via deep reinforcement learning and low-resource Turkish speech recognition improvements. As Principal Investigator, she manages projects on plant classification using CNNs, drone-based depth mapping, and multimodal assisted living systems. Her research bridges AI with practical applications in healthcare, agriculture, and robotics.

• Statistical Analysis and Applications
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Dr. Uğur ERCAN is currently serving as an Associate Professor at Akdeniz University's Department of Informatics. He holds a PhD in Econometrics from Akdeniz University (2016) and a master's degree in Mathematics (2008), with a bachelor's degree in Computer Engineering from Mersin University (2003). PhD in Econometrics (Akdeniz University, 2016) MSc in Mathematics (Akdeniz University, 2008) BSc in Computer Engineering (Mersin University, 2003) His research focuses on statistical analysis, machine learning, data mining, and optimization, with notable applications in agriculture, public health, and consumer behavior. Recent work includes machine learning models for predicting crop quality, alcohol consumption patterns, and energy systems optimization. Scientific output trends show interdisciplinary applications of machine learning across agricultural engineering, health economics, and renewable energy. Publications include predictive models for fruit characteristics, econometric analyses of household expenditures, and optimization algorithms for solar energy systems. He has contributed to 51 publications (Scopus) and maintains active research in quantitative methods, with expertise in neural networks, regression analysis, and ensemble learning techniques. His work aligns with UN Sustainable Development Goals for responsible consumption and production.

ÖNDER ÇANGALمشاهده پروفایل

دانشیار

• Teaching Turkish as a Foreign/Second Language
• Digital Language Teaching Tools
• Language Acquisition
• +۳ مورد دیگر

ÖNDER ÇANGAL is an Associate Professor at Gaziantep University Faculty of Education Department of Turkish and Social Sciences Education since 2024. He previously served as Associate Professor (2022-2024) and Lecturer (2015-2022) at Gaziantep University Turkish Language Teaching Center. His international experience includes teaching Turkish at Yunus Emre Institutes in Belgrade (2021), Algeria (2019-2020), and Bosnia (2012-2015), as well as Turkic studies at Emir Abdulkadir Islamic Sciences University (2019-2020). PhD in Teaching Turkish as a Foreign Language (Hacettepe University, 2016-2020) MSc in Turkish Language Education (Gazi University, 2011-2013) BSc in Turkish Language Teaching (Gazi University, 2007-2011) His research focuses on Turkish as a Foreign Language (TFL) pedagogy, digital language tools, cultural context in language learning, and technology integration in education. With over 27 articles and 20 book chapters, his work examines social media applications, grammar acquisition challenges, and specialized Turkish curricula for migrants and professionals. Scientific recognition includes the 2024 Ziya Gökalp Başarı Ödülü and 2022 Kurtuluş Bilim Ödülü . He designed online Turkish learning portals under national projects and developed cultural immersion programs for Serbian students. His publications analyze Turkish language teaching methods across 18 countries and address writing skill challenges for Syrian and Bosnian learners.

Mustafa Özuysalمشاهده پروفایل

استادیار

• Computer Vision
• Object Detection
• Object Tracking
• +۵ مورد دیگر

Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.

• Software Engineering
• Real-time Systems
• Medical Informatics
• +۱ مورد دیگر

Prof. Dr. Yaşar Güneri ŞAHİN serves as the Dean of the Faculty of Engineering and Computer Sciences at Izmir University of Economics, where he also holds a professorship in the Department of Software Engineering. With over two decades of experience in both academia and industry, he has established himself as a prominent figure in software engineering, real-time systems, and educational technologies. His academic journey began with a Bachelor's degree in Computer Engineering from Middle East Technical University in 1994, followed by a Master's in Computer Education from Gazi University in 1999, and culminated with a Ph.D. in Industrial Technology from Gazi University in 2005. Prior to joining Izmir University of Economics in 2008, he served as a faculty member at Yaşar University starting in 2005, and before that, he gained nearly a decade of industry experience in high-level management roles overseeing numerous software projects for both public and private sectors. Prof. ŞAHİN's research spans several interconnected domains with a strong emphasis on practical applications. His work in software engineering focuses on project management methodologies, team building models for educational contexts, and database systems. In real-time systems, he has made significant contributions to forest fire detection technologies using innovative approaches like animal-based biological sensors and radio-acoustic sounding systems. His educational technology research addresses challenges in nursing education, special education for individuals with autism, and internet resource utilization by university students. Notably, his interdisciplinary approach bridges computer science with healthcare applications, particularly in medical informatics where he has developed public health information systems and tools for medical data entry. His scholarly output demonstrates a consistent trajectory of innovation across multiple domains, with particular concentration in the period from 2007-2013. While his early work focused on foundational software engineering concepts and database systems, his research evolved to address pressing societal challenges including forest fire detection, healthcare information systems, and educational technologies. This evolution reflects his ability to identify emerging technological needs and apply software engineering principles to diverse real-world problems. His contributions have been recognized through multiple prestigious awards: TÜBİTAK Scientific Publication Awards (2008-2012) İzmir University of Economics Scientific Publication Awards (2008-2011) As an academic advisor, Prof. ŞAHİN has supervised doctoral and master's theses on diverse topics including heart failure management, triage algorithms for multiple injuries, and software project selection metrics for small and medium enterprises. His administrative leadership extends beyond his deanship to include serving on juries for national art, design, and architecture competitions, as well as evaluating research projects for TEYDEB and TÜBİTAK. His grant activities include serving as a project reviewer and monitor for various technology development initiatives including "Bulut," "ARAGES," "SADE," and "SWH-ATLANTIS." Prof. ŞAHİN maintains an active research laboratory environment focused on real-time systems and software engineering applications. His work often involves interdisciplinary collaboration, particularly with medical professionals on health informatics projects and with education specialists on technology-enhanced learning initiatives. Current research directions appear to focus on the intersection of software engineering principles with healthcare applications and environmental monitoring systems.

• Computer Science
• Artificial Intelligence
• Digital Art Analysis
• +۳ مورد دیگر

Baybora Temel is an Associate Professor at Trakya University Faculty of Fine Arts , with a PhD in Computer Science from Marmara University (2009). His research merges Artificial Intelligence and Digital Art Analysis , focusing on Art Authentication via wavelet transforms and neural networks. Specializes in Painting Style Classification and Digital Art Forensics Recipient of Nuri Iyem Painting Competition Exhibition (2015) and Australian Embassy Painting Award (2009) Active in International Art Symposia (Odessa, Patras) and National Exhibitions His 15 most recent publications span Art Authentication (2008-2022) and Digital Art Analysis , employing Machine Learning for Cubist Painting Discrimination and Figurative Art Studies . He has curated exhibitions like Art Suites 26th International Art Workshop (2018) and participated in Balkan Exhibitions IV (2023).

Serdar ARSLANمشاهده پروفایل

مدرس

• Database Management Systems
• Data Structures and Algorithms
• Machine Learning
• +۳ مورد دیگر

Dr. Serdar Arslan is a Lecturer at the Department of Computer Engineering at Cankaya University. He holds a PhD in Computer Engineering from Middle East Technical University (METU), with a thesis on multidimensional data indexing. His academic background includes a Master's (2005) and Bachelor's (2001) in Computer Engineering from METU and Hacettepe University, respectively. His research focuses on database systems, machine learning, multimedia data indexing, and forecasting models. Education: Bachelor of Engineering, Computer Engineering, Hacettepe University (2001) Master of Science, Computer Engineering, METU (2005) Doctor of Philosophy, Computer Engineering, METU (2018) Research Interests: Machine Learning applications in healthcare forecasting and financial markets Advanced indexing techniques for multimedia databases (e.g., MM-FOOD structure) Natural language processing for stance detection in political discourse Hybrid forecasting models combining LSTM and Prophet algorithms Domain-specific NLP for product name extraction in Turkish text Publications: His recent work emphasizes machine learning-driven solutions for complex systems, including pandemic modeling, cryptocurrency analysis, and conflict discourse analysis. His earlier contributions focused on multimedia indexing and image retrieval systems using MPEG-7 standards. The 2025 paper on OSINT architecture frameworks highlights his expanding focus on cybersecurity and system design. Labs/Teams: While no specific lab is mentioned, his GitHub repositories (e.g., Forecasting, NLP projects) suggest active involvement in collaborative research projects related to his domains.

Erol ÖZÇELİKمشاهده پروفایل

استاد

• Cognitive Psychology
• Educational Technology
• Multimedia Learning
• +۷ مورد دیگر

Prof. Dr. Erol ÖZÇELİK is a Professor of Psychology at Atılım University's Faculty of Arts and Sciences. He holds a Ph.D. in Cognitive Sciences from Middle East Technical University and has been a full-time faculty member since 2009. His academic roles include serving as Bologna Coordinator and Chair of the Fun Science Center Management Board. His research focuses on cognitive psychology, educational technology, and neuroscience applications in learning environments. He has advised over 15 master’s students in topics ranging from emotional arousal effects on memory to surgical simulation training. Education: Ph.D. (2008) in Cognitive Sciences from Middle East Technical University, M.Sc. (2002) in Computer and Instructional Technology Education, B.Sc. (1999) in Computer Science. Research Interests: Cognitive mechanisms of learning and memory Impact of emotional arousal on educational outcomes Human-computer interaction in learning environments Neuroscience-based instructional design Simulation-based surgical education Eye-tracking methodologies for cognitive assessment Grants & Projects: Lead investigator on TÜBİTAK-funded projects including 'Küçük Dahiler Bilgisayar Kullanıyor' (Robotics Education) and 'Endoscopy Training Simulation Validation'. Developed the ECE surgical simulation platform validated through 3 published studies. Awards: Recognized for contributions to educational technology and cognitive research through institutional awards at Atılım University and TÜBA grants. Labs/Teams: Active in the Fun Science Center and Educational Computer-Based Environment (ECE) research group. Collaborates with neuroimaging teams at Hacettepe University and computer science groups at Middle East Technical University.