جست‌وجوی استاد و پژوهشگر

Haluk Bingölمشاهده پروفایل

استاد

• Complex Networks
• Evolutionary Game Theory
• Social Network Analysis
• +۵ مورد دیگر

Prof. Haluk Bingöl serves as a Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Computer Science and Information Technologies since 2018. Previously, he held academic positions at Boğaziçi University from 2001 to 2018, progressing from Assistant Professor to full Professor in the Department of Computer Engineering. His educational background includes a PhD (1987) and MS (1985) in Electrical and Computer Engineering from Syracuse University, with doctoral research on Boolean Comparison by Simulation , and a BS in Electrical and Electronics Engineering from Middle East Technical University (1982). His research centers on Complex Networks and Evolutionary Game Theory , with significant contributions to understanding cooperation dynamics in the Iterated Prisoner's Dilemma, community detection algorithms, and epidemic modeling in urban networks. His work integrates computational modeling with real-world applications in social dynamics and information systems, often employing agent-based simulations to explore emergent phenomena. Recent publications demonstrate consistent focus on game-theoretic models of cooperation, network structure analysis, and applications in social media and epidemiology. He maintains strong publication output in high-impact journals including Physical Review E , Advances in Complex Systems , and Journal of Theoretical Biology , with increasing interdisciplinary reach into mental health informatics and computational linguistics. Multiple Publication Incentive Awards from Boğaziçi University and TÜBİTAK Interpro IT Award for industry-academia collaboration Best Poster Award at COST MP0801 United Nations Fellowship (1984-1985) and TEV International Scholarship National competition awards for student thesis supervision Prof. Bingöl has supervised 23 graduate students across master's and PhD programs, with research spanning community detection, evolutionary dynamics, and attention economics. His grant portfolio includes leadership of the TURKCELL m-learning Project ($130,000), participation in EU-funded initiatives (EUMedGrid, ASSYST), and COST actions (TD1210, MP0801) focusing on complex systems research infrastructure. He actively contributes to COST actions and collaborative networks, developing methodologies for complex systems analysis while mentoring next-generation researchers through structured academic programs and industry partnerships.

Aziz Tüterمشاهده پروفایل

استادیار

• Information Security
• Cybersecurity
• Natural Language Processing
• +۵ مورد دیگر

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.

Nezih Topaloğluمشاهده پروفایل

دانشیار

• Mechanical Vibrations
• Energy Harvesting
• MEMS
• +۳ مورد دیگر

Prof. Dr. Nezih Topaloğlu is an Associate Professor in the Department of Mechanical Engineering at Yeditepe University's Faculty of Engineering. He has progressed from Lecturer (2009) to Assistant Professor (2010) and Associate Professor (2017), maintaining active research and teaching roles through 2025. His educational background includes a B.Sc. in Electrical-Electronics Engineering from Bogazici University (2000-2004) and an Integrated Ph.D. in Mechanical Engineering from the University of Waterloo (2004-2009), where his thesis focused on uncooled microbolometers. Topaloğlu's research centers on mechanical vibrations, energy harvesting systems, MEMS, and mechatronics. He has pioneered innovations in piezoelectric vibration energy harvesters with movable tip masses, thermal conductance tuning for microbolometers, and nonlinear damping mechanisms. His experimental work bridges theoretical modeling with practical applications in sensor design and energy conversion systems. Analysis of his 10 most recent publications (2010-2025) reveals an evolution from core MEMS and vibration harvesting research (2010-2017) toward interdisciplinary applications including machine learning for maritime horizon detection (2022-2025). This shift demonstrates expanding expertise while maintaining foundational work in piezoelectric systems and vibration analysis. Scientific recognition includes: International Graduate Student Award (University of Waterloo, Turkey) Teaching Assistance Excellence Award (University of Waterloo, Canada) He has supervised six graduate students across master's and doctoral programs, focusing on vibration energy harvesters, solenoid actuators, and machine learning diagnostics. Research funding includes five TÜBİTAK projects, notably as Principal Investigator for the homogeneous stress distribution piezoelectric generator project (2017-2020) and ongoing nanosystems research (2021-). His work is supported by three patents covering vibration energy harvesters, power generation systems, and dishwasher mechanisms, reflecting practical applications of his vibration and MEMS research.

Burcu Ünlütabakمشاهده پروفایل

استادیار

• Developmental Psychology
• Social Sciences
• Humanities
• +۱ مورد دیگر

Dr. Burcu Ünlütabak is an Assistant Professor at Yeditepe University's College of Science and Literature, Department of Psychology. Previously, she held the same position at Nuh Naci Yazgan University (2020-2022). Her academic work focuses on developmental psychology, particularly the interplay between cognitive, linguistic, and social development in early childhood. PhD in Psychology from Lehigh University (2018) MA in Psychology from Boğaziçi University (2012) BA in English Language and Literature from Boğaziçi University (2008) Her research explores how preschoolers process narrative discourse, develop theory of mind, and engage in epistemic curiosity. She has published extensively on socioeconomic influences in child development and cross-cultural comparisons of curiosity and reasoning. Recent publications demonstrate her focus on how children interpret counter-intuitive claims, track character references in stories, and develop questioning behaviors across different socioeconomic backgrounds. Her work appears in leading journals like International Journal of Behavioral Development and Cognitive Development . As Deputy Department Chair at Yeditepe University since 2022, she contributes to academic leadership while continuing her research and teaching. She has supervised multiple Master's theses on topics including: Epistemic curiosity in classroom design Interoceptive awareness and emotion perception Parental bonding and mentalization processes Student living arrangements and relationship satisfaction Parental burnout and reflective functioning Literary readership and empathy development

• Natural Language Processing
• Generative AI
• Social Computing
• +۵ مورد دیگر

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 Cekinelمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Multimodal Fact-Checking
• Explainable AI
• +۷ مورد دیگر

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 Yörükمشاهده پروفایل

استاد

• Social Welfare and Social Policy
• Social Movements
• Political Sociology
• +۲ مورد دیگر

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 Tezelمشاهده پروفایل

مدرس

• Project Management
• Construction Management
• Building Information Modeling (BIM)
• +۷ مورد دیگر

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.

Deniz Yuretمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

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.

• English Language Teaching
• Applied Linguistics
• Language Acquisition
• +۲ مورد دیگر

Beyza Bayraktar serves as a Lecturer in the Department of English Preparation at Istanbul Gedik University, based at the Eagle Campus. Her role focuses on developing students' English language proficiency for academic success. Her research interests center on language pedagogy: English Language Teaching methodologies Applied Linguistics in academic contexts Language Acquisition processes Second Language Pedagogy frameworks Academic Writing Preparation techniques She maintains direct communication channels for student inquiries and departmental coordination. Contact is available through institutional email channels at bayraktarbeyza@hotmail.com .

Tuna Doğanمشاهده پروفایل

استاد

• Agricultural Engineering
• Agricultural Machinery
• Biosystems Engineering

Tuna Doğan serves as a Professor at Aydın Adnan Menderes University within the Faculty of Agriculture, Department of Biosystems Engineering, specifically contributing to the Agricultural Machinery Systems Division. His academic foundation includes: Bachelor's degree in Agricultural Machinery and Technologies Engineering from Aegean University (1980-1984) Master's degree in Agricultural Machinery from Aegean University (1985-1988) Doctorate in Agricultural Machinery from Aegean University (1988-1994) Professor Doğan's research centers on Agricultural Engineering with specialized expertise in Agricultural Machinery Systems and Biosystems Engineering , focusing on technological advancements for agricultural equipment and processes. His career progression in Turkey's academic system was confirmed through successful completion of the foreign language examination for associate professorship in Fall 1995. His institutional commitment spans decades at Aydın Adnan Menderes University, where he continues active contributions to agricultural engineering education and research within the Faculty of Agriculture's structural framework.

Ecem Akanمشاهده پروفایل

دانشیار

• Dairy Technology
• Food Engineering

Dr. Ecem Akan is an Associate Professor at Aydın Adnan Menderes University, where she serves in the Department of Dairy Technology within the Faculty of Agriculture. Her academic journey includes foundational training in Food Engineering and specialized expertise in Dairy Technology developed through advanced degrees. Education: Bachelor of Science in Food Engineering, Celal Bayar University (2008–2012) Master of Science in Dairy Technology, Aegean University (2012–2015) Doctor of Philosophy in Dairy Technology, Aegean University (2015–2020) Research Focus: Her work centers on Dairy Technology and Food Engineering, focusing on scientific and technical aspects of dairy production, processing, and innovation derived from her specialized graduate training. Language Proficiency: She demonstrates advanced English competency, validated by a YÖKDİL score of 95.0 (2018).

Evrim Elçinمشاهده پروفایل

مدرس

• Agricultural Biotechnology
• Enzyme Technology
• Microbial Biotechnology
• +۳ مورد دیگر

Dr. Evrim Elçin serves as a Lecturer within the Faculty of Agriculture at Aydın Adnan Menderes University, holding dual appointments in the Department of Agricultural Biotechnology and the Department of Enzyme and Microbial Biotechnology. Her academic profile reflects specialized expertise at the intersection of agricultural science and advanced biotechnological applications. Her educational foundation was established at Middle East Technical University through a rigorous English-language curriculum: Licence (2005-2010): Faculty of Arts and Sciences, Department of Biological Sciences, Molecular Biology and Genetics Master's Degree (2010-2013): Institute of Science, Biotechnology (Thesis) Doctorate (2013-2019): Institute of Science, Biotechnology Research activities focus on agricultural biotechnology with specialized concentration in enzyme systems and microbial applications. Core domains include: Development of biotechnological solutions for agricultural challenges Enzyme engineering for industrial and agricultural processes Microbial strain optimization in agricultural contexts Molecular analysis of biological systems Genetic applications in crop and microbial improvement No scientific awards are documented in available records. Professional engagement appears centered on current academic duties without indication of active grant management or student supervision programs. The institutional profile does not reference dedicated laboratory facilities or research groups under her leadership.

• Reinforcement Learning
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

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

• Information Security and Cryptology
• Artificial Intelligence
• Computer Software
• +۳ مورد دیگر

Mehmet Ali YALÇINKAYA is a full-time Lecturer in the Department of Computer Engineering at Ahi Evran University's Faculty of Engineering and Architecture. His academic journey includes a PhD (2020) and MSc (2015) in Computer Engineering from Süleyman Demirel University, and a BSc in Electronics and Computer Education (2012). PhD: Computer Engineering, Süleyman Demirel University (2020) MSc: Computer Engineering, Süleyman Demirel University (2015) BSc: Electronics and Computer Education, Süleyman Demirel University (2012) His research focuses on Information Security and Cryptology , Artificial Intelligence , Computer Software , and Cybersecurity . Recent work includes phishing detection systems, deep learning applications for security, and AI-driven educational tools. Key article trends: 2025: NLP for violence detection in healthcare 2024: Multilayer security frameworks, AI in education, and biometric authentication 2023: Phishing defense mechanisms and agricultural pest detection He has supervised four Master's theses and collaborated with 48 researchers. Notable projects include a BCI-supported deep learning model for motor/facial analysis (2025-2027) and AI-powered educational systems for primary schools.