جست‌وجوی استاد و پژوهشگر

• Second Language Acquisition
• Foreign Language Anxiety
• EFL Teaching Strategies
• +۵ مورد دیگر

Prof. Dr. Naciye Kunt is a Professor in the Department of Foreign Language Education at Eastern Mediterranean University (EMU), Faculty of Education. She holds a PhD in Applied Linguistics from the University of Texas, an MA in Foreign Languages (University of Texas), and a BA in English Teaching from Marmara University. Her research focuses on second language acquisition, foreign language anxiety, EFL teaching methodologies, multicultural education, and the integration of technology in language learning environments. Her academic contributions include supervising over 40 PhD and Master’s theses since 2002, addressing topics such as refugee education, non-native speaker teacher identity, AI-assisted language activism, and translanguaging in multilingual classrooms. She emphasizes inclusive pedagogies, linguistic diversity, and the impact of cultural competency in EFL contexts. Prof. Kunt’s work extends to exploring hybrid and game-based learning approaches, the role of storybooks in early language education, and the effects of Montessori methods on students with autism. Her ongoing research includes studies on linguistic diversity challenges, sustainable development through language education, and teacher preparedness in multicultural settings. Notably, her advising spans multiple countries, including Turkey, Nigeria, Iran, Iraq, and Kazakhstan, reflecting her global perspective on language education challenges. She is affiliated with EMU’s Department of Foreign Language Education, Office EF 305, and contributes to academic initiatives promoting equitable and innovative language teaching practices.

• English Language Teaching (ELT)
• Intercultural Communication
• EFL Curriculum Design
• +۳ مورد دیگر

Asst. Prof. Dr. İLKAY GİLANLIOĞLU is a faculty member in the Department of Foreign Language Education at Eastern Mediterranean University's Faculty of Education. Her academic journey includes a PhD from the Institute of Education, University of London (2002), an MA in English Language Education from Middle East Technical University (1993), and a BA from Hacettepe University (1990). She holds a prominent role in supervising over 30 graduate theses, focusing on intercultural competence, EFL curriculum evaluation, digital literacy, and technology integration in language education. Education: PhD, Institute of Education, University of London (2002) MA, English Language Education, Middle East Technical University (1993) BA, English Language Education, Hacettepe University (1990) Her research explores language teaching methodologies, multicultural educational contexts, and the role of emerging technologies in enhancing language learning outcomes. Notable areas include intercultural sensitivity among academic English learners, the impact of CALL (Computer-Assisted Language Learning), and pedagogical approaches to pronunciation instruction in EFL settings. Prof. GİLANLIOĞLU has supervised 21 completed PhD and Master’s theses, with ongoing research addressing digital identity formation in teacher education and motivation dynamics in multilingual learning environments. Her work emphasizes evidence-based curriculum design and teacher professional development in diverse educational systems.

• Sustainable Tourism
• Green Human Resource Management
• Hospitality Management
• +۷ مورد دیگر

Hamed Rezapouraghdam is an Associate Professor and active faculty member in the Faculty of Tourism at Eastern Mediterranean University (EMU) in Northern Cyprus. He holds an office in TH 307 and can be reached via email at hamed.rezapouraghdam@emu.edu.tr or by phone at +90 392 630 1392. His educational background includes a PhD (2013–2018) and MS (2011–2013) in Tourism Management from Eastern Mediterranean University, and a BA (2004–2008) in English Language Translation from the University of Isfahan. Dr. Rezapouraghdam's research centers on sustainable tourism, green human resource management, and the application of advanced methodologies such as machine learning to understand visitor behavior in natural and marine environments. He explores how memorable tourism experiences influence visitor outcomes and how green leadership and corporate social responsibility initiatives impact employee and customer behavior in the hospitality industry. The recent publications highlight a strong trend toward sustainability in tourism and hospitality, with a focus on predicting green behaviors using machine learning, analyzing memorable experiences through qualitative comparative methods, and examining green voice behaviors in restaurant employees. His work bridges environmental sustainability with managerial practices in tourism sectors. Green human resource management, job embeddedness and their effects on restaurant employees’ green voice behaviors (2023) Memorable tourism experiences and critical outcomes among nature-based visitors: a fuzzy-set qualitative comparative analysis approach (2022) Application of machine learning to predict visitors’ green behavior in marine protected areas: evidence from Cyprus (2021) Dr. Rezapouraghdam is actively involved in academic advising, supervising numerous PhD and Master's students on topics related to sustainable tourism, green leadership, wellness in hospitality, and community participation. While no specific grants are mentioned in the text, his research output suggests active engagement in funded or institutionally supported projects. He contributes significantly to the academic mission of EMU through research, publication, and student mentorship. He is affiliated with the Faculty of Tourism, which is part of Eastern Mediterranean University's academic structure. There is no mention of specific labs or research teams, but his collaborative publications indicate active research partnerships with scholars internationally.

• System Security
• Privacy
• Cybersecurity
• +۳ مورد دیگر

Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).

• Internet Computing
• Network-Centric Systems
• Cloud Computing
• +۳ مورد دیگر

Professor Marios Dikaiakos is a full-time faculty member at the University of Cyprus (UCY), Department of Informatics. He holds a Ph.D. in Computer Science from Princeton University (1994) and has been at UCY since 1998. His roles include serving as Chair of the Department of Informatics (2010-2014) and Founding Director of the Entrepreneurship Center (2014-2021). He leads the Internet Computing Laboratory, focusing on Network-Centric Systems, Cloud Computing, and Social Media Analysis. His research has resulted in over 160 publications and 22 funded projects. Research interests include edge computing, cloud systems, IoT energy modeling, and polarization detection in news media. He has developed open-source tools like Fogify and BenchPilot for edge computing emulation. Active in academic governance, he has reviewed proposals for EU, national, and Chinese institutions. His work bridges theoretical computer science with practical applications in telemedicine, smart grids, and entrepreneurship ecosystems.

Harry Soteriouمشاهده پروفایل

پژوهشگر

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۶ مورد دیگر

Harry Soteriou is a Researcher at the KIOS Research and Innovation Center of Excellence, affiliated with the University of Cyprus. He specializes in Machine Learning and Artificial Intelligence, with technical expertise spanning Python/C++ programming, databases, and distributed systems. BSc in Particle Physics and Cosmology from Lancaster University MSc in Data Science and Entrepreneurship (joint degree from Tilburg University and TU/Eindhoven) His research focuses on: Large Language Models (LLMs) for advanced NLP applications Multi-Agent Systems for distributed AI architectures Deep Reinforcement Learning in complex decision-making scenarios Technically, he works with Linux GPU clusters, Docker containers, and both SQL/NoSQL databases, maintaining proficiency in Python and C++ programming. His professional experience includes 4 years in core ML domains like Reinforcement Learning, Computer Vision, and Natural Language Processing.

• English Language
• Language Acquisition
• Teaching English as a Second Language (TESOL)
• +۲ مورد دیگر

Maria Nicolaou serves as a Lecturer and English Language Foundation Course Coordinator at Mesoyios College, with a 23-year teaching career focused on language skill development. She specializes in English language instruction across diverse educational contexts, including adult learning programs. Education: Master's in TESOL (University of Nicosia) Research Interests center on comprehensive language proficiency development, covering: Speaking, Listening, Reading, Writing, and Grammar instruction Inclusive learning environment design Language acquisition strategies Adult education methodologies Teaching Experience includes program coordination for Hotel Management, Business Administration, and English Language Foundation courses.

Zöhre SERTTAŞمشاهده پروفایل

مدرس

• Educational Technology
• Artificial Intelligence in Education
• Gamification
• +۴ مورد دیگر

Zöhre SERTTAŞ is a Lecturer in the Department of Computer Information Systems at Near East University, Northern Cyprus, with contact details zohre.serttas@neu.edu.tr and +90 (392) 223 64 64. Her research focuses on transformative educational technologies, particularly: AI-driven immersive e-learning environments Metaverse-based educational paradigms Gamification and digital game development Mobile applications for special education and elderly/disabled users Cloud forensics and digital evidence preservation Recent publications (2023-2025) demonstrate her leadership in developing simulation-based cultural education tools, ethical AI frameworks for education, and practical implementations like the NEU-LIFE ASSIST mHealth application. Her work bridges technical innovation with pedagogical effectiveness across banking, healthcare, and STEM education domains.

OlaOluwa Simon Yayaمشاهده پروفایل

دانشیار

• Time Series Econometrics
• Financial Econometrics
• Fractional Integration
• +۵ مورد دیگر

OlaOluwa Simon Yaya is an Associate Professor at the University of Ibadan Department of Statistics, with additional appointments as University Professor at Global Humanistic University Curacao and Research Fellow at the Centre for Econometrics and Applied Research Nigeria. He is affiliated with the University of Ibadan Laboratory for Interdisciplinary Statistical Analysis. Professor Yaya holds a B.Sc. from Abeokuta, and M.Sc. and PhD from Ibadan. His academic journey has led him to become a recognized expert in time series econometrics and related fields. Professor Yaya specializes in Economic and Financial Time Series, Climate Change modelling, Time Series Econometrics, Machine Learning/Big Data and Pattern Recognition. His research particularly focuses on Dynamic connectedness, Fractional integrated processes, Fractional Cointegration, Panel Unit root tests, Structural breaks, Seasonality, and Nonlinearities in the context of I(d) models. He also works extensively on Volatility modelling in both univariate and multivariate settings, including Realized Volatility with Jumps. His recent publications (2024-2025) demonstrate continued research activity across multiple domains including financial markets, climate change, energy economics, public health, and economic policy. These works show a strong emphasis on advanced time series methodologies applied to real-world problems, with particular attention to persistence properties and connectedness across different economic and financial variables. Professor Adenike Osofisan Faculty of Science Scholar Award (2019) 232 publications with 49,175 reads and 2,029 citations As an advisor and educator, Professor Yaya has supervised numerous research projects and publications. His international collaborations span multiple continents, working with researchers from Portugal, Vietnam, Spain, and across Africa, Europe, and Asia. His research group focuses on developing and applying advanced statistical methodologies to solve complex problems in economics, finance, climate science, and public policy. Professor Yaya leads research activities at the University of Ibadan Laboratory for Interdisciplinary Statistical Analysis, where his team applies cutting-edge time series techniques to diverse research questions across multiple disciplines, bridging theoretical methodology with practical applications in economic and social challenges.

Petr Hájekمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Fuzzy Logic
• +۷ مورد دیگر

Petr Hájek is a Professor at the University of Pardubice in the Institute of System Engineering and Informatics, Czech Republic. With 236 publications, 71,463 reads, and 5,595 citations, he has established himself as a prominent researcher in computational intelligence and machine learning applications. His research interests span multiple domains of computational intelligence, with particular focus on: Machine learning applications in financial forecasting and risk management Neural networks and fuzzy logic systems for time series prediction Sentiment analysis for financial markets and social media Fraud detection and fake news identification systems Cryptocurrency price forecasting and market analysis ESG analytics and sustainable finance applications Analysis of his recent publications (2023-2025) reveals an expanding research scope that increasingly integrates sustainability considerations with financial technology. His work demonstrates sophisticated methodological approaches, frequently employing hybrid neural network architectures, ensemble learning techniques, and advanced text mining methods. Professor Hájek's research shows strong international collaboration patterns with scholars across Europe, Asia, and North America. His scholarly contributions have focused on developing practical AI solutions for complex financial problems, with particular attention to handling class imbalance issues in financial datasets and creating interpretable models for financial decision-making. Professor Hájek maintains an active research program with consistent publication output across top venues in computational intelligence and financial technology. His work bridges theoretical advances in machine learning with practical applications in finance, demonstrating both academic rigor and real-world relevance.

• Curriculum and Instruction
• Educational Measurement and Evaluation
• Social Studies Education
• +۳ مورد دیگر

Professor Çiğdem Hürsen is a full-time Professor at Near East University's Atatürk Faculty of Education, holding primary appointment in the Department of Curriculum and Instruction. She concurrently serves as Head of the Department of Measurement and Evaluation in Education and Director of the Near East University Lifelong Learning Center since 2019. Her academic qualifications include: Combined Non-Thesis Master's in Turkish Language and Literature, Girne American University (2005) MA in Curriculum and Instruction, Near East University (2007) PhD in Curriculum and Instruction, Near East University (2011) Professor Hürsen's research centers on Curriculum and Instruction, Educational Measurement and Evaluation, and Social Studies Education. Her work integrates theoretical frameworks with practical applications to enhance educational assessment systems and social studies pedagogy, addressing critical needs in teacher training and curriculum development. She maintains a robust publication record with articles in international journals and conference presentations, though specific bibliometric data isn't publicly detailed. Her career progression from faculty appointment in 2007 to full Professor in 2023 reflects consistent scholarly productivity. Administrative leadership roles include: Head of the Department of Measurement and Evaluation in Education Director of Near East University Lifelong Learning Center (2019–present)

Mustafa KURTمشاهده پروفایل

استاد

• teacher education
• learning theories
• educational technology
• +۳ مورد دیگر

Mustafa KURT serves as a Professor at the Faculty of Arts and Sciences, Near East University, where he has held academic positions since 2001 after previously lecturing at Ankara and Bilkent Universities. His academic credentials include: Bachelor's degree in Foreign Language Education from Middle East Technical University Master's degree in English Language Education from Gazi University Doctorate in Curriculum and Language Instruction from Ankara University His research spans teacher education, learning theories, educational technology, multiculturalism, multilingualism, and language learning. He actively contributes through workshops, lectures, and publications focusing on language teaching methodologies, educational literature, and pedagogical innovations in multilingual contexts.

Luca Ferrariniمشاهده پروفایل

استادیار

• Machine Learning
• Databases
• Cloud Computing
• +۶ مورد دیگر

Dr. Luca Ferrarini serves as an Assistant Professor within the Department of Information Technologies at the University of Limassol, Cyprus. With over ten years of industry experience as an IT project manager and data analytics consultant, he bridges academic research with practical applications in healthcare, medical imaging, and business domains through expertise in machine learning, databases, and cloud computing. His educational foundation includes: A Master of Science in Computer Engineering earned cum laude from the University of Modena and Reggio Emilia (Italy), where his thesis was developed at the Burnham Institute in San Diego through collaboration with the University of California San Diego. A Doctor of Philosophy in Computer Science awarded with honor from Leiden University (Netherlands), followed by post-doctoral research at the same institution focusing on computational analysis of MRI brain images for neurodegenerative conditions. Dr. Ferrarini's research program centers on solving industry and social challenges through digital technologies. His primary technical expertise spans machine learning, database systems, and cloud computing infrastructure . Current projects demonstrate applied focus in two key areas: developing natural language processing systems for automatic email classification in hospitality industry customer relationship management, and conducting bibliometric analyses of digital transformation literature using complex network theory to identify research trends and emerging subfields. Analysis of his publication history reveals a strong interdisciplinary trajectory, beginning with biomedical applications (particularly in neuroimaging and vascular biology) and evolving toward business-oriented digital solutions. His work consistently applies advanced computational methods to extract meaningful insights from complex datasets across healthcare and enterprise contexts, demonstrating adaptability in translating core technical skills to domain-specific challenges. Bringing substantial industry experience to academia, Dr. Ferrarini's current research involves collaboration with tier-1 hospitality chains on NLP applications while mapping the evolution of digital transformation research through network analysis. Though specific details of student supervision and grant funding aren't provided, his project descriptions indicate active industry partnerships and applied research orientation.