Find Academic Supervisors

• Computer Science
• Computational Linguistics
• Natural Language Processing
• +3 more

Berke Özenç is a full-time Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences, Işık University. He teaches core computer science courses including Computer Networks, Android Programming, Microprocessors, Computer Organization, Data Structures and Algorithms, and Object Oriented Programming across multiple academic periods from 2023-2025. His educational qualifications include: PhD in Computer Engineering from Işık University Institute of Science (2018-2025) Master's Degree in Computer Engineering with thesis from Işık University Institute of Science (2016-2018) Bachelor's degree in Software Engineering from Işık University Faculty of Engineering (2011-2016) with 50% scholarship Dr. Özenç's research centers on computational linguistics for Turkic languages, specializing in morphological analysis of Turkish and Azerbaijani Turkish. His work integrates computer science with linguistic theory to develop tools like morphological analyzers and explore syntactic structures. Key contributions include visual modeling techniques, finite-state transducer implementations, and systematic studies of morphotactics for grammatical categories like person and tense. No scientific awards were documented in the source materials. Regarding academic mentorship and research funding, the available information does not specify any graduate students, advising relationships, or grant acquisitions.

• Child Development
• Early Childhood Education
• Early Intervention
• +7 more

Prof. Dr. Şehnaz Ceylan has been a full-time faculty member at Karabük University, Faculty of Health Sciences, Department of Child Development since 2009, currently holding the rank of Professor and serving as Department Chair . She obtained her bachelor’s, master’s and doctoral degrees from Gazi University in Child Development and Education between 1995 and 2009. Education: PhD, Child Development and Education, Gazi University Institute of Educational Sciences (2003–2009) MSc, Child Development and Education (Thesis), Gazi University Institute of Educational Sciences (2000–2003) BA, Child Development and Household Management Education, Gazi University Faculty of Vocational Education (1995–1999) Research Focus: Her extensive research portfolio centres on early childhood development , parent–child interaction , early intervention , creative drama and child sexual education . She explores how play, literature, family education and digital tools can be leveraged to foster social-emotional, cognitive and language growth in 0–8-year-olds. Publication Trends: Over the last five years her work has converged on three broad domains: (1) parental roles and wellbeing —investigating paternal burnout, father–child play, and maternal self-efficacy; (2) early literacy and library-based interventions —designing baby-library programs and analysing children’s books for environmental, sexual-health and sleep-education themes; and (3) instrument development —creating and validating scales measuring parental sexual communication and attitudes toward sexual education. Scientific Recognition & Funding: Although no named awards are listed, she has attracted 13 funded research projects (national and institutional) and amassed 256 citations, attaining an h-index of 9. She has edited 6 books and served on editorial boards of national journals. Supervision & Teaching: Principal supervisor to 21 master’s and 2 PhD theses currently in progress or completed. Regularly teaches undergraduate and graduate courses on infancy research, early intervention, drama in education, child sexuality, and child literature. Laboratory & Outreach: She spearheads the “Baby Library” initiative in Karabük, integrating toy libraries, book readings and parent-training sessions to promote early literacy and developmental screening for children 0–36 months.

• Cultural Psychology
• Emotion Research
• Acculturation
• +3 more

Batja Gomes de Mesquita is a full professor at the Faculty of Psychology and Educational Sciences at KU Leuven, where she leads research in the Social and Cultural Psychology unit. She holds dual affiliations with the Leuven Centre for the Study of Islamic Culture and Society and the KU Leuven Brain Institute (LBI), and serves in key administrative roles including chair of the Faculty's Evaluation Committee and membership on the Assessment Committee and PPW Faculty Council. Her research centers on cultural variations in emotional experience, with pioneering work on emotional acculturation and cultural fit in emotion . She investigates how emotions function as pathways for social integration among immigrant communities, particularly examining Belgian adolescents with Turkish heritage and intercultural couple dynamics between Belgians and Japanese. Her methodology combines longitudinal field studies with experimental approaches to analyze emotion language in daily contexts and its relationship to well-being. Analysis of her recent publications reveals three dominant trajectories: (1) Cross-cultural comparisons of emotion expression in relationships ( Belgium-Japan dyads ), (2) The role of emotion in immigrant adaptation ( focusing on Turkish-Belgian communities ), and (3) Theoretical advances in social constructionist emotion frameworks. Her work consistently bridges fundamental psychological theory with real-world applications in multicultural societies. Professor Mesquita actively supervises doctoral candidates including Y. Lee (2024), whose thesis examined emotional navigation in immigrant adolescents. She directs eight major research projects through 2028, including Emoties als bewaarders van genderrollen (gender roles in work-family negotiation) and Bouwen aan wederzijds begrip van emoties (enhancing emotional understanding in intercultural interactions), with funding supporting cross-cultural teams across psychology, linguistics, and cultural studies. Her teaching portfolio includes graduate courses on Social and Cultural Psychology, Advanced Research Methods, and specialized seminars on affective processes. She contributes to the academic community through committee leadership and interdisciplinary collaboration within KU Leuven's research institutes focused on cultural diversity and cognitive neuroscience.

Aziz TüterView profile

Assistant Professor

• Information Security
• Cybersecurity
• Natural Language Processing
• +5 more

Aziz Tüter serves as Assistant Professor in the Department of Information Security Technology at Yeditepe University's Faculty of Computer and Information Sciences, where he has held academic and administrative positions since 2001 including Department Head (2000, 2002) and Vice Dean (2007). His career spans over five decades with prior appointments at Yildiz Technical University's Faculty of Science and Letters (1972-1982) in the Mathematics Department. Education: PhD in Mathematics, Yildiz Technical University (1979-1982) - Thesis: Demand analysis with multiple regression method (An attempt on domestic passenger car demand in Turkey) Bachelor's in Mathematics, Istanbul University (1967-1971) Dr. Tüter's research demonstrates remarkable interdisciplinary breadth, anchored by core expertise in Information Security and Cybersecurity. His work bridges Turkish Natural Language Processing (evidenced by TÜBİTAK-funded media analysis projects) with Climate Modeling through mathematical simulations of Istanbul's climate system. Significant contributions extend to Solar Energy research analyzing meteorological correlations with solar radiation, while his foundational work in Algorithms and System Analysis directly informs his graduate-level teaching curriculum. This synthesis of computational security, environmental modeling, and linguistic analysis reflects a unique research trajectory spanning computer science, mathematics, and environmental informatics. He secured competitive research funding through the TÜBİTAK project "Computer Aided Turkish Based Media Content Analysis System" (2007-2008) as lead researcher, and currently mentors graduate students through thesis supervision in System Analysis and Algorithms coursework. His administrative leadership includes departmental and faculty-level governance roles spanning technical education and research infrastructure development.

• Natural Language Processing
• Generative AI
• Social Computing
• +5 more

Cagri Toraman is an Assistant Professor at Middle East Technical University's Computer Engineering Department, leading the Applied NLP Group. He holds a PhD in Computer Science from Bilkent University (2017) and has industry experience as Software Engineer (Havelsan 2017-2018), Postdoctoral Research Scientist (University of Central Florida 2018-2019), and NLP Team Lead (Aselsan 2020-2023). PhD in Computer Science (Bilkent University, 2017) Postdoctoral Research Scientist (University of Central Florida, 2018-2019) NLP Team Lead (Aselsan, 2020-2023) His research focuses on Natural Language Processing , Generative AI , and Social Computing , with particular emphasis on low-resource language adaptation, hate speech detection, multimodal analysis, and misinformation identification. Recent work examines dataset quality evaluation, transformer optimization with tweet-specific elements, and pejorative language disambiguation for misogyny detection. Notable achievements include receiving the Google Gemma Academic Research Award 2024 . He teaches core courses in Data Structures and Applied Natural Language Processing , emphasizing both theoretical foundations and practical implementation. Research trends show expertise across: Multilingual dataset creation (MiDe22, JL-Hate) Transformer-based hate speech detection Generative AI adaptation for Turkish Ensemble learning in socio-political event extraction Contextual word embeddings analysis Conversational system robustness

Recep Firat CekinelView profile

Researcher

• Natural Language Processing
• Multimodal Fact-Checking
• Explainable AI
• +7 more

Recep Firat Cekinel is a Turkish NLP researcher who recently obtained his Ph.D. in Computer Engineering from Middle East Technical University (METU). He spent 13 months as a visiting predoctoral researcher at the University of Tübingen and is currently a researcher on the EU-funded EXA4MIND project, where he develops NLP pipelines that convert natural language into database queries using large language models. His research focuses on responsible, scalable AI systems and bridges foundational NLP work with real-world applications. Education: Ph.D. in Computer Engineering, Middle East Technical University (METU), Türkiye Visiting Predoctoral Researcher, University of Tübingen, Germany (13 months) Research Interests: Dr. Cekinel’s work spans natural language processing , multimodal fact-checking , explainable AI , and large language models . He is particularly interested in building responsible and scalable AI systems that integrate foundational research with practical deployments, such as natural-language interfaces for high-performance computing environments. Recent Publication Trends: His 2025 publications reveal a concentrated effort on multilingual and multimodal fact-checking , satire-style debiasing , and NL-to-database-query generation . Earlier work explores graph-based event extraction , Turkish irony detection , and cultural-heritage text mining , demonstrating a trajectory from low-resource Turkish NLP toward globally applicable, responsible-AI systems. Contact & Code: Email: rfcekinel@ceng.metu.edu.tr Office: METU Computer Eng. Dept. A-206, 06800 Ankara, Turkey Phone: +90-(312)-210-5593 GitHub: firatcekinel Google Scholar: profile available

Erdem YörükView profile

Professor

• Social Welfare and Social Policy
• Social Movements
• Political Sociology
• +2 more

Erdem Yörük is a Professor in Sociology at Koç University , with additional affiliations as Associate Member at the University of Oxford's Department of Social Policy and Intervention, and Affiliated Faculty at the Ford Institute of Human Security (University of Pittsburgh, Central European University). As Director of the Center for Computational Social Sciences at Koç University, he leads major research initiatives including the ERC-funded projects Emerging Welfare and Politus , along with the H2020 Social Comquant project. Ph.D. in Sociology from Johns Hopkins University (2012) M.A. in Sociology from Johns Hopkins University (2009) M.A. in Sociology from Boğaziçi University (2006) B.Sc. in Electrical and Electronics Engineering from Boğaziçi University (2002) His research integrates Computational Social Sciences with Political Sociology to analyze the interplay between Social Movements and Welfare Policy . Current work focuses on creating cross-national datasets ( Global Welfare Dataset (GLOW) and Global Contentious Politics Database (GLOCON) ) to explore how governments utilize social assistance as both Mobilization and Containment mechanisms in response to grassroots political activity. Major findings from his publications in journals like World Development , Governance , and Politics & Society demonstrate that Emerging Market Economies have developed distinct Populist Welfare State Regimes through interactions between Structural Pressures , Institutional Frameworks , and Political Agency . Notable among these is his 2022 book The Politics of the Welfare State in Turkey (University of Michigan Press), which presents a political explanation for Turkey's shift from employment-based social security to poverty-targeted assistance. He has organized EU-funded Training Workshops on topics including Social Media Data Research , Network Analysis with R , and Digital Trace Data applications. His methodological contributions span Random Sampling techniques for protest event coding, Multilingual Annotation protocols, and Machine Learning Integration with expert rule systems.

Ecem TezelView profile

Lecturer

• Project Management
• Construction Management
• Building Information Modeling (BIM)
• +7 more

Dr. Lecturer Ecem Tezel is an academic at Istanbul Technical University's Faculty of Architecture, Department of Architecture. Holding a PhD in Project and Construction Management since 2017, she combines construction management with sustainability research through Building Information Modeling (BIM) and pro-environmental behavior studies. PhD: Project and Construction Management, Istanbul Technical University (2017) MS: Project Production and Management, Istanbul Technical University (2015) BSc: Architecture, Istanbul Technical University (2010-2015) Her research focuses on BIM-FM integration , pro-environmental behavior in construction , and educational frameworks for construction management. Recent work examines sustainability awareness and digital transformation in Turkey's architecture sector. Publications show strong trends in BIM adoption analysis (31% h-index), facilities management optimization , and behavioral sustainability research. Key collaborations include academics like Fatma Çakmak and Hüsnü Murat Günaydın. Sustainability and environmental research best paper award (Emerald Publishing, 2017) As principal investigator for the 2024-2025 project Mimarlık ve İnşaat Mühendisliği Lisans Programları Yapım Projeleri Yönetimi Eğitiminde Oyun Tabanlı Öğrenme Deneyimi , she explores game-based learning in construction education.

Ioanna KappaView profile

Professor

• Phonological Theory
• Phonological Acquisition
• Greek Dialects
• +2 more

Ioanna Kappa is a Professor of Linguistics at the University of Crete, affiliated with both the Department of Philology and the Department of Linguistics. Her office is located in room 009 and she can be reached at telephone number 28310-77269 or via email kappa@uoc.gr. Her educational background includes a PhD in Theoretical Linguistics (Phonology) from the University of Salzburg in 1995, with a dissertation titled "Silbenphonologie im Deutschen und Neugriechischen" (Syllabic Phonology of German and Greek). Professor Kappa's research focuses on several key areas within phonology. Her primary interests include phonological theory , phonological acquisition and development , the phonology of Greek and Greek dialects , the phonology-morphology interface , and language contact phenomena particularly between Greek and Turkish. Her work often examines child language development and dialectal variations, contributing significantly to the understanding of phonological processes in natural language. Her extensive publication record includes two authored books and numerous articles in scientific journals, conference proceedings, and mixed volumes. Recent research trends show a continued focus on Greek child speech, consonant cluster simplification, vowel harmony, and loanword adaptation in Cretan dialect, reflecting her deep engagement with both theoretical and empirical aspects of phonology. She has actively presented her research at Greek and international conferences, demonstrating her commitment to scholarly exchange in the field of linguistics.

Deniz YuretView profile

Professor

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +3 more

Deniz Yuret is a Professor in the Department of Computer Engineering at Koç University , Istanbul, and the founding director of the KUIS AI Center . Previously, he spent 12 years at the MIT AI Lab and co-founded Inquira, Inc. His research focuses on Natural Language Processing and Machine Learning , with significant contributions in dependency parsing , language modeling , grounded language learning , and character-level NLP . He has pioneered frameworks like Knet , a deep learning library in Julia, and AutoGrad.jl for automatic differentiation. Deniz's academic work spans neural architectures for language-robot interaction, transfer learning in low-resource NMT, and context embeddings for grammatical category acquisition. His recent publications emphasize transformer models , multimodal systems , and efficient language modeling . He has supervised multiple graduate students, including Emre Can Açıkgöz (PhD, UIUC), Onur Kuru (M.S. 2016), Saman Zia (M.S. 2016), and Osman Baskaya (M.S. 2015). His projects include the TUBITAK 1001 (2016-2018) and ReGROUND (2015-2018) in collaboration with international institutions.

Hatice ZoraView profile

Researcher

• Linguistics
• Cognitive Neuroscience
• Speech Processing
• +3 more

Hatice Zora is a researcher at the Department of Linguistics at Stockholm University. Her interdisciplinary work bridges linguistics and cognitive neuroscience , with a focus on the neural mechanisms underlying prosody and lexical access in speech processing. Key collaboration: Mary Rudner (Professor, Linnaeus Centre HEAD, Linköping University) Other collaborations: Tomas Riad (Stockholm University), Sari Ylinen (University of Helsinki) Research Interests Investigates how subcortical emotional systems influence neocortical speech-related processing via prosodic features Studies hidden events in turn-taking dynamics with Mattias Heldner and Marcin Wlodarczak Develops electrophysiological-perceptual taxonomies of prosodic processing Publications 4 major works (2015-2016) including a doctoral thesis on prosody-lexicon mapping Focus on mismatch negativity (MMN), P200 responses, and cross-linguistic comparisons (English, Turkish, Swedish)

• Second Language Acquisition
• Multilingualism
• Language Didactics
• +7 more

Professor Zeynep Kalkavan-Aydin is a distinguished academic at Pädagogische Hochschule Freiburg, where she serves as Professor for German as a Foreign and Second Language and Head of Bachelor's and Master's Degree Programs in this field. She is also Deputy Institute Director at the Institute for German Language and Literature and holds several significant leadership roles including Member of the Senate Committee for International Affairs and Directorium Member of the Language Center. Her international collaborations span across Jordan, Colombia, Bolivia, and Turkey, with particular emphasis on the DAAD|BMBF-funded 'International Graduate School German as a Foreign Language' partnership with German Jordanian University. Professor Kalkavan-Aydin's research centers on multilingualism in educational contexts, with specific focus on how students' entire linguistic repertoires can be leveraged as resources in German language teaching. Her work examines translanguaging practices, multilingual scaffolding strategies, literacy acquisition in multilingual settings, and teacher professionalization. She approaches multilingualism not as a challenge to be overcome but as a valuable asset that enhances cognitive processing and language development when strategically integrated into pedagogical practices. Her extensive publication record demonstrates consistent productivity with numerous high-impact publications in 2024-2025, particularly focusing on multilingual classroom interaction, professional development for language teachers, and language education for professional contexts. Her research employs rigorous video-based classroom analysis to document authentic teaching practices and their impact on student learning in multilingual environments. DAAD|BMBF funding for 'International Graduate School German as a Foreign Language' (2020-2026) Ministry of Science, Research and Arts Baden-Württemberg funding for 'Professional Teaching Perception in Vocational Teaching' Erasmus+ funding for 'Integration of Language and Subject Learning in Multilingual Settings' As a supervisor, Professor Kalkavan-Aydin leads the Joint PhD Program 'German as a Foreign Language' between PH Freiburg and German Jordanian University, currently mentoring six doctoral candidates. Her supervision style emphasizes empirical classroom research, with particular focus on video-based analysis of multilingual interaction patterns. She actively involves her students in international research collaborations and professional development networks, providing them with opportunities to present at major conferences and publish in high-impact journals. Professor Kalkavan-Aydin leads the Multilingual Classroom Interaction (MuCI) Research Group, which conducts video-based studies of language teaching practices across different educational contexts. Her team develops professional learning communities where teachers collaboratively analyze classroom videos to enhance their professional perception of multilingual interaction patterns. The group's work bridges theoretical research and practical application, creating resources for teacher training that are directly informed by empirical classroom observations.

• Reinforcement Learning
• Natural Language Processing
• Machine Learning
• +3 more

Dr. Eren Ulu is a Lecturer in the Department of Computer Engineering at TED University, where he has taught since 2014 (initially as Research Assistant, promoted to Lecturer in 2019). His academic journey includes a Bachelor's degree earned with top honors, followed by Master's and PhD studies at Hacettepe University's Computer Graphics and Game Studies Laboratory. His research spans three interconnected domains: Reinforcement Learning applied to game algorithm optimization Machine Learning for NLP/NLU tasks Speech Technology Integration combining ASR and TTS for human-computer interaction Prior to TED University, Dr. Ulu contributed to impactful projects at Hacettepe Technopolis, including: TÜBİTAK-funded SOBAG-111K030 (2012-2014) analyzing Turkish news corpus linkage AFAD disaster simulation project AFADSIM (2014-2017) modeling socioeconomic resilience

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +3 more

Assistant Professor Ayla Kayabaş is affiliated with the Faculty of Engineering and Architecture at Ahi Evran University , where she focuses on the Computer Engineering department. Her academic journey includes a PhD in Computer Engineering from Ankara Yıldırım Beyazıt University (2013-2020), a Master's Degree (2003-2011), and a Bachelor's Degree (2003-2011) from Universitaet Stuttgart. Research Interests: Her work centers on Artificial Intelligence , particularly in Natural Language Processing and Deep Learning . She has developed innovative algorithms for Turkish morphological analysis, combining finite-state automata and neural networks. Recent publications explore AI-generated text classification, reflecting her broader interest in machine learning applications. Academic Contributions: Her three key publications (2022, 2025) span neural network architectures for language processing, error correction in OCR systems, and hybrid morphological analysis frameworks. These works align with her expertise in Deep Learning , Neural Networks , and Language Modeling . Teaching and Supervision: She has supervised two Master's theses: Automatic detection of intrusion attacks in IoT networks (2023) and Student performance prediction using educational data mining (2022). Additionally, she has taught courses in Natural Language Processing, Formal Languages, Applied Machine Learning, and Software Engineering. Collaborative Impact: Collaborating with researchers from Ankara Medipol University, Ankara Yildirim Beyazit University, and Ludwig-Maximilians-Universität München, she contributes to interdisciplinary advancements in computational linguistics and AI.

• Communication Sciences
• New Media
• Social Media
• +5 more

Sefer Kalaman is an Associate Professor at Ankara Yildirim Beyazit University's Faculty of Communication, Department of New Media and Communication since 2022, where he also serves as Vice Dean (2022-present) and Head of the Department of Radio, Television and Cinema (2024-present). Previously, he held academic positions at Yozgat Bozok University (2010-2019) including Research Assistant and Assistant Professor roles. His educational background includes: Ph.D. in Radio, Television and Cinema from Ege University (2016), dissertation: The Transformation of Privacy in New Media with Its Sociocultural, Economic, and Political Dimensions: The Facebook Example M.A. in Radio, Television and Cinema from Selcuk University (2011), thesis: Violation of Privacy on the Internet: Facebook B.A. in Radio, Television and Cinema from Selcuk University (2008) Dr. Kalaman's research centers on communication sciences with emphasis on digital privacy transformations, hate speech in global media, and AI applications in communication. His work critically examines sharenting on Instagram, religious hate speech in Bollywood/Hollywood, and AI-driven sentiment analysis. Recent studies increasingly focus on health literacy in digital contexts and AI-powered news verification systems, reflecting Turkey's evolving media landscape. Analysis of his 15 most recent publications (2019-2025) reveals three dominant trajectories: 1) Privacy erosion in digital environments (Facebook studies, sharenting), 2) Hate speech analysis in cinematic media (Bollywood, Hollywood), and 3) Emerging AI applications (sentiment analysis, news verification). His methodology blends qualitative cultural analysis with quantitative social media metrics, predominantly focusing on Turkish societal contexts with growing international comparative dimensions. No scientific awards are documented in the source material. Dr. Kalaman leads multiple funded projects including Algorithms and Human Communication: New Communication Paradigms with Artificial Intelligence (2025) and Digital Media and National Artificial Intelligence Language Model (2024). He previously served as executive for a documentary project on Yozgat's buffalo husbandry (2019). While no formal student advisees are listed, he has served on academic juries including the 3rd Bozok Film Festival (2024). Research infrastructure details are not specified in available materials.