جستجوی استاد راهنمای دانشگاهی

Aykut Erdemمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Aykut Erdem is an Associate Professor of Computer Engineering at Koç University, affiliated with the KUIS AI Center. He earned his PhD, MSc, and BSc in Computer Engineering from Middle East Technical University (METU), with visiting researcher experiences at Virginia Tech (2004) and MIT (2007). His research focuses on learning-based approaches for visual data understanding, including image editing, visual saliency estimation, and vision-language integration. Research Interests: Vision and Graphics, Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, Generative Artificial Intelligence. Recent work includes text-guided image/video editing, diffusion models for object removal, and GAN-based frameworks for domain adaptation. Scientific Awards: Young Scientist Award (BAGEP 2021) by Science Academy in Computer Engineering Best Paper Award at 5th Multimodal Learning and Applications Workshop (2022) Collaborations and Funding: Principal investigator for TUBITAK 1001 project on generative AI for visual data (2021-2024), Adobe Research Gift (2023), and co-investigator for multiple TUBITAK grants. Serves as Associate Editor for IEEE Transactions on Image Processing (2022-present).

Erkut Erdemمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Visual Saliency Prediction
• +۵ مورد دیگر

Erkut Erdem is a Professor in the Department of Computer Engineering at Hacettepe University, where he leads the Computer Vision Laboratory (HUCVL). His research focuses on computer vision and machine learning, particularly on incorporating different kinds of context (spatial, temporal and cross-modal) into visual processing across all levels from low to high-level vision. He received his Ph.D. (2008), M.Sc. (2003), and B.Sc. (2001) from Middle East Technical University. Prior to joining Hacettepe University in 2010, he completed a post-doctoral fellowship at Ecole Nationale Supérieure des Télécommunications (2009-2010) and held visiting researcher positions at UCLA (2007) and Virginia Tech (2004). His current research interests include Visual Saliency Prediction, Automatic Image Description, Video/Photoset Summarization, Image Filtering, and Image Editing. Recent work has focused on multimodal learning with video-language models, diffusion-based image editing, and event-based vision for low-light conditions. His research has been published in top venues including NeurIPS, ICLR, ICCV, SIGGRAPH, and ACL. He has received significant recognition including The Young Researcher Award from Turkish Academy of Sciences and being named a 2022 Outstanding Associate Editor of IEEE Transactions on Multimedia. He has secured multiple research projects funded by TUBITAK and received gift funds from Adobe Research for text-guided image synthesis work. Current Teaching: BBM202: Algorithms, AIN434/BBM444: Fundamentals of Computational Photography Graduate Supervision: 6 current Ph.D. students, numerous recent graduates including Burak Ercan (2024) and Aysun Kocak (2023) Professional Affiliations: Co-affiliated with Koç University and İş Bank AI Center (KUIS AI)

İsmail ÖZTELمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Image Processing
• +۳ مورد دیگر

Dr. İsmail ÖZTEL serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. He has been a faculty member since 2019, following his tenure as a Research Assistant from 2012-2019 at the same institution. His educational background includes: Doctorate in Computer and Information Engineering (2014-2018) from Sakarya University with thesis on "Facial expression detection on partial and full face images using machine learning methods" Master's Degree in Computer and Information Engineering (2012-2014) from Sakarya University with thesis on "Driver simulator for educational purposes" Bachelor's Degree in Computer Engineering (2007-2011) from Sakarya University Dr. ÖZTEL's research focuses on artificial intelligence, deep learning, and computer vision with significant applications in healthcare, mobile technology, and public safety. His work has evolved from foundational facial expression recognition to sophisticated medical applications including skin disease classification using smartphones, monkeypox detection from skin lesions, and pandemic response systems for face mask detection. His research demonstrates strong interdisciplinary connections between computer science and healthcare. An analysis of his publication trends reveals a clear progression toward increasingly complex deep learning architectures applied to real-world problems, with recent work emphasizing medical applications using mobile technology and public health safety systems. His 2023-2025 publications show particular focus on skin disease classification, intelligent vehicle systems, and hybrid feature extraction methods for pandemic response. Dr. ÖZTEL has served as a reviewer for numerous prestigious journals including Expert Systems With Applications (multiple years), World Wide Web, Multimedia Tools and Applications, and Journal of King Saud University - Computer and Information Sciences, demonstrating his recognition in the academic community across multiple domains. His research projects include work on facial expression detection in open scientific databases (2020), performance evaluation of transfer learning approaches (2019), and current projects on brain tumor classification systems and earthquake safety education for individuals with developmental disabilities. His international research experience includes collaboration with Filiz Bunyak in 2017, indicating global engagement in his field.

• Open and Distance Learning
• Educational Technology
• Distance Education Design
• +۳ مورد دیگر

Can Güler is an Assistant Professor in the Department of Lifelong Learning and Adult Education at the Faculty of Education, Anadolu University, Turkey. Previously, from 2002 to 2023, he served as a Lecturer in the Department of Distance Education at the Faculty of Open Education, Anadolu University. His academic career spans over two decades with continuous contributions to open and distance education systems. His educational background includes: Bachelor's degree in Computer and Instructional Technologies Education, Anadolu University (2002) Master's degree in Distance Education, Institute of Social Sciences, Anadolu University (2007) Ph.D. in Distance Education, Institute of Social Sciences, Anadolu University (2022) Güler's research centers on open and distance learning methodologies, educational technology integration, and instructional material development. He specializes in video-based learning systems, interactive media design, and gamification strategies for enhancing learner engagement. His work addresses practical challenges in digital content creation and accessibility for diverse learner demographics, particularly adult populations. Analysis of his publication trajectory reveals consistent innovation in multimedia applications for distance education, with recent emphasis on generative AI awareness among educators and interactive video transformation techniques. His research frequently employs design-based methodologies and institutional case studies from Anadolu University's open education infrastructure. Scientific Awards: None mentioned in available sources. Advising and Grants: No information provided regarding student supervision or research funding in current documentation.

• English Language Teaching (ELT)
• Second Language Acquisition
• Technology-Enhanced Language Learning
• +۴ مورد دیگر

Zabitgil Gülseren, Özlem is an academic at Istanbul Sabahattin Zaim University specializing in English Language Teaching (ELT) and Second Language Acquisition . Her work focuses on integrating technology into language instruction, analyzing learner anxiety, and evaluating pedagogical methods. Research Themes : Technology-enhanced learning, vocabulary acquisition, formative assessment. Key Collaborations : Co-authored studies with Sıla Selver Akar, Enes Atay, and others. Article Trends : Recent works (2024) examine authentic video-based vocabulary instruction, while 2022–2020 studies explore online collaborative writing, digital storytelling, and formative assessment practices. Earlier works (2015–2019) analyze anxiety, gender factors in strategy use, and classical teaching methods. Advising and Grants : Supervised research on topics like digital tools in ELT and L1 usage in classrooms. No specific grant details provided in the text.

Engin Erzinمشاهده پروفایل

استاد

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +۶ مورد دیگر

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

• Foreign Language Teacher Cognition
• Language Teaching Methodology
• Non-Native Speaking Professionals in TESOL
• +۴ مورد دیگر

Dr. Sibel Tatar is an Associate Professor at the Department of Foreign Language Education, Faculty of Education, Boğaziçi University. She has been teaching there since 2003, following her PhD in Language Education from Indiana University (2003) and B.A. in Translation and Interpretation from Hacettepe University (1997). Her research focuses on foreign language teacher cognition, TESOL methodologies, and non-native speaking professionals in education. Her educational background includes a PhD specialization in Language Education from Indiana University, emphasizing teacher development and intercultural communication. Her work spans over two decades, with a strong emphasis on qualitative research in language education contexts. Research interests include teacher identity, pre-service training, and the impact of native speakerism on educational policies. Her recent studies explore transformative learning through virtual exchange programs (COIL projects) and critical reflection techniques for teacher candidates. Dr. Tatar has received multiple awards from Boğaziçi University and grants for projects on teacher feedback mechanisms, technology integration, and EFL hiring practices. She has supervised numerous PhD theses and co-authored over 20 journal articles and book chapters. Her professional service includes roles on the Awards Committee and Financial Aid Interviews Committee at Boğaziçi University, reflecting her commitment to educational equity. She has also contributed to international conferences and editorial work, including the EUROSLA Yearbook.

• Social Sciences Education
• History Education
• Teacher Training
• +۷ مورد دیگر

Şahin ORUÇ is an Associate Professor at Yıldız Technical University's Faculty of Education, Department of Social Sciences and Turkish Education since 2016. Previously, he served as Assistant Professor at the same institution from 2007-2016. He has held significant administrative roles including Assistant Secretary General (2016-2018) and Head of Department (2013-2016) at Yıldız Technical University. His educational background includes a Doctorate (2003-2007) and Postgraduate degree (1999-2002) from Gazi University's Faculty of Education, and an undergraduate degree in History Education (1993-1997) from İnönü University. Dr. ORUÇ's research spans multiple areas within educational sciences, with particular emphasis on social studies education , history education , and gifted education . His work frequently explores innovative teaching methodologies, including the use of comics, gamification, and intelligence games in educational contexts. He has published extensively with over 179 publications according to Web of Science metrics. His recent publications reveal a strong focus on interdisciplinary approaches to social studies education, with particular interest in how digital media, historical narratives, and specialized teaching methods can enhance learning outcomes. The research shows consistent attention to both theoretical frameworks and practical classroom applications. International Journal of Field Education (IJOFE) - First Editor (2015-Present) International Journal of Social Science Research - First Editor (2014-Present) Organized multiple international symposiums including INTERNATIONAL SYMPOSIUM OF TEXTBOOKS (DEKUS) and SYMPOSIUM OF MATERIALS IN FIELD EDUCATION (IFEMS) Dr. ORUÇ has supervised 15 graduate theses across various topics in social studies education and has been involved in multiple research projects, including "Zeka ve Akıl Oyunlarının Öğrencilerin Okula İlişkin Tutumlarına Etkisi" (2017-2019) and "Tarih ve Sosyal Bilgiler Ders Kitaplarında Ermeni Meselesi" (2016-2018). He has also conducted professional development workshops on storytelling, intelligence games, and student coaching.

• 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.

• Wireless Communications
• Information Theory
• Communication Networks
• +۱۸ مورد دیگر

Cenk Gursoy is a Professor in the Department of Electrical Engineering and Computer Science at the College of Engineering and Computer Science, Syracuse University. He previously served as a faculty member at the University of Nebraska-Lincoln from 2004 to 2011. He holds a Ph.D. in Electrical Engineering from Princeton University and a B.S. from Bogazici University, Turkey. His research spans wireless communications, information theory, signal processing, and networking. Key areas include 5G/6G technologies, millimeter-wave communications, UAV-assisted networks, energy efficiency, intelligent reflecting surfaces, and machine learning for networking. He has made significant contributions to finite blocklength communications, QoS provisioning, and secure wireless transmissions. The recent publications highlight a strong trend in integrating machine learning—particularly deep reinforcement learning—into wireless resource allocation, network slicing, UAV trajectory planning, and anomaly detection. His work increasingly bridges theoretical information-theoretic models with practical implementations in emerging wireless systems such as RIS-aided networks, NOMA, and edge computing. NSF CAREER Award, 2006 2020 IEEE Region 1 Technological Innovation (Academic) Award IEEE Green Communications & Computing Technical Committee Best Journal Paper Award EURASIP Journal of Wireless Communications and Networking Best Paper Award IEEE PIMRC Best Paper Award Maude Hammond Fling Faculty Research Fellowship All-University Doctoral Prize (awarded twice to his students) Dr. Gursoy has advised over 20 Ph.D. and M.S. students, many of whom now hold positions at leading universities and tech companies. His research has been funded by multiple National Science Foundation grants as Principal or Co-Principal Investigator, focusing on fundamental limits of wireless systems, millimeter-wave networking, and green cloud platforms. He serves as an Area Editor for IEEE Transactions on Vehicular Technology and as an Editor for several other IEEE Transactions journals. He leads the Wireless Communications & Networking Lab and the Smart Vision Systems Lab at Syracuse University, fostering interdisciplinary research in smart networks, IoT, and intelligent sensing systems.

• Turkish Language Education
• Educational Technology
• Literacy Development
• +۳ مورد دیگر

Zeynel Hayran is an Associate Professor at the Department of Turkish and Social Sciences Education, Faculty of Education, Ahi Evran University. Holding a PhD in Fine Arts Education from Ankara University (2010) and an MSc in Curriculum and Instruction from Hacettepe University (2002), his research focuses on Turkish language education, educational technology, and cognitive development in children.

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.

Mahmut Aykaçمشاهده پروفایل

استادیار

• Electrical and Electronics Engineering
• Communication Engineering
• Image Processing
• +۳ مورد دیگر

Assistant Professor Mahmut Aykaç is affiliated with Gaziantep University, Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a Doctorate (2010-2018), Master's (2006-2009), and Licence (2001-2006) in Electrical and Electronics Engineering from Gaziantep University, specializing in Circuits and Systems Theory. His research spans Image Processing , Machine Learning , and Wireless Communication Systems , with a focus on RFID localization ZigBee-based navigation Chaos theory in cryptography Edge computing for neural networks Legacy textile system modernization Scientific contributions include 7 refereed journal articles and participation in 7 international conferences. Notable projects: ZigBee Campus Navigation System (2013-2017) Jacquard Loom Control System Modernization (2007-2009) Supervised master's theses on: Single-band GSM RF energy harvesting Automatic power factor correction systems Received certification as expert witness in Expropriation and Electrical Engineering fields.

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.