جستجوی استاد راهنمای دانشگاهی

HADJINICOLAS GEORGEمشاهده پروفایل

استاد

• Production-Marketing Interface
• International Manufacturing/Operations Management
• Serial Production Systems
• +۳ مورد دیگر

Professor HADJINICOLAS GEORGE holds a faculty position at the University of Cyprus, Department of Business Administration and Public Administration under the School of Economics and Management. His research focuses on production-marketing interface, international manufacturing systems, and product positioning methods. He earned a Ph.D. in Business Administration (Operations Management) from the University of Southern California in 1993, preceded by MS degrees in Statistics (1990) and Computer Engineering (1989), and a BS in Electrical Engineering (Cum Laude, 1988). His research interests emphasize optimizing production systems through interdisciplinary approaches, integrating marketing and operational decisions. Key themes include cost reduction in serial production systems, resource allocation for service quality, and strategic product positioning using advanced analytics like self-organizing maps. His publication trends reflect sustained contributions to operations management and decision sciences, with notable work on journal evaluation metrics and production-marketing interface challenges. Over two decades, his research has addressed both theoretical frameworks (e.g., asymptotic distribution analysis) and practical applications (e.g., hotel service optimization). He has advised numerous studies on manufacturing systems and marketing strategies, though specific student names are not listed here. His work bridges engineering and business disciplines, addressing global operational challenges through quantitative methodologies.

Ioannis Kasparisمشاهده پروفایل

دانشیار

• Time Series Econometric Theory
• Econometrics of Nonstationarity
• Fractional Processes
• +۴ مورد دیگر

Ioannis Kasparis is an Associate Professor of Econometrics at the Department of Economics , University of Cyprus , within the School of Economics and Management . His research focuses on time series econometric theory, particularly nonstationarity, fractional processes, nonparametric methods, heavy-tailed processes, specification testing, and asymptotic statistical theory. Education : BSc in Economics (University of Reading, 1998) MSc in Econometrics and Mathematical Economics (London School of Economics, 2000) PhD in Econometrics (University of Southampton, 2004) His research spans nonstationary time series analysis, nonparametric regression, and specification testing. Recent publications address topics like time-varying parameter regressions , nonlinear predictive models , and fractional integration . Articles often involve collaborations with prominent econometricians such as P.C.B. Phillips. Teaching roles include Econometrics (ECON 303, BSc) , Statistics & Econometrics (ECON 603, MSc/PhD) , and Econometrics (OIK 663, MSc) , with consistently positive student evaluations highlighting clarity, engagement, and pedagogical effectiveness.

• Digital Transformation
• Cybersecurity
• E-Learning
• +۳ مورد دیگر

Yrd. Doç. Dr. Ibrahim Adeshola is an Assistant Professor in the Faculty of Engineering at Final University. His research focuses on digital transformation, cybersecurity, e-learning, environmental sustainability, renewable energy, and educational technology. He has published extensively on topics including the impact of social commerce on MSMEs, cybersecurity awareness among students, and the relationship between technological innovation and environmental degradation. His work often employs mixed methods and advanced statistical techniques like PLS-SEM and quantile regression. Research interests include addressing challenges in digital education, mitigating environmental impacts of energy consumption, and analyzing policy frameworks for sustainability. His recent studies explore the asymmetric effects of fossil fuels and FDI on ecological footprints, as well as the role of renewable energy in achieving COP27 targets. He has also investigated cultural dimensions influencing management practices in multicultural environments and consumer behavior on social platforms like Instagram. Despite notable contributions, no academic awards or administrative roles are explicitly mentioned. His publications span interdisciplinary topics, reflecting a commitment to bridging technology, education, and environmental science.

George Panayiotouمشاهده پروفایل

دانشیار

• Exercise Physiology
• Oxidative Stress
• Chronic Disease Management
• +۳ مورد دیگر

George Panayiotou is an Associate Professor in Sport & Exercise Physiology at the Department of Life Sciences, European University Cyprus. He has held academic roles since 2005, including Research Centre Director (2008–2012) and Director of EUC Research Center Ltd (2008–2014). His research focuses on exercise physiology, oxidative stress, and chronic disease management. He holds a PhD from Democritus University of Thrace (2008) with a thesis on immune system responses to training. Education: PhD (2008): Democritus University of Thrace MSc (2001): Democritus University of Thrace BSc (1999): Aristotle University of Thessaloniki His research explores how exercise impacts health parameters across populations, including coronary artery disease patients, the elderly, and athletes. Key areas include redox biology adaptations, training efficacy, and vitamin supplementation effects. He has led projects on exercise devices for the elderly, statin effects on muscle function, and obesity treatment through eccentric exercise. Publications emphasize oxidative stress variability, training adaptations, and nutritional interventions. Notable works include studies on vitamin C’s role in physical performance and the anti-aging benefits of exercise. Awards: 1st place in national Strength & Conditioning competition (2000) Multiple academic excellence scholarships (1996–2003) He advises on sports medicine for Omonoia FC and Limassol Nautical Club, coordinating medical/scientific programs. His work bridges clinical practice and research, focusing on preventive health through exercise.

Andros Kourtellosمشاهده پروفایل

استاد

• Econometrics
• Intergenerational Mobility
• Social Interactions
• +۴ مورد دیگر

Andros Kourtellos is the Department Chair and Professor of Economics at the University of Cyprus (UCY), affiliated with the School of Economics and Management. He holds senior fellowships at the Rimini Centre for Economic Analysis (RCEA) and the University of Chicago's Human Capital and Economic Opportunity Global Working Group (HCEO). His research focuses on econometric methods, intergenerational mobility, social interactions, and economic growth, with contributions to threshold regression models and nonlinear econometrics. He earned his B.Sc. (1996) from UCY and M.Sc./Ph.D. (2001) from the University of Wisconsin-Madison. Key research interests include poverty traps, status traps in mobility, and the role of redistribution in growth. His work employs spatial econometrics and model averaging techniques, addressing topics like barriers to price convergence and the impact of land inequality on economic transitions. He has held visiting positions at Virginia Tech, UW-Madison, and the University of Chicago. Recent publications (2020–2023) emphasize social threshold regression, policy implications of inequality, and pandemic-related economic analysis. He was awarded Marie Skłodowska-Curie fellowships for research and supervision. His work bridges theoretical econometrics with applied policy analysis, focusing on cross-country comparisons and developmental challenges. Grants and advising: While no students are listed, his research collaborations span institutions globally. He contributes to the Economic Research Centre (ERC) at UCY and advises on macroeconomic forecasting methodologies. His work on forecasting incorporates daily financial data and mixed-frequency models, enhancing predictive accuracy for policy applications. Labs/Teams: Active in the Rimini Centre for Economic Analysis (RCEA) and the UCY Economic Research Centre, contributing to networks like the HCEO. His research group focuses on socio-economic inequality, growth dynamics, and econometric methodology.

• Financial Econometrics
• Time Series Econometrics
• Volatility Modeling
• +۳ مورد دیگر

Elena Andreou is a Professor at the Department of Finance within the School of Economics and Management at the University of Cyprus. Her work centers on advancing econometric methodologies, with a dual focus on theoretical innovation and empirical applications in finance and macroeconomics. Her research explores: Volatility dynamics : High-frequency volatility estimation, forecasting models (VIX, risk premiums), and market disruption monitoring. Factor models : Development of mixed-frequency and group factor frameworks for macroeconomic and financial data integration. Structural breaks : Robust testing methodologies for model misspecification and regime shifts in time series. Mixed-frequency data : Novel regression techniques leveraging disparate sampling rates for enhanced forecasting accuracy. Her publications (2008–2024) reveal a consistent trajectory toward refining econometric tools for real-world financial and macroeconomic challenges, with recent emphasis on latent factor identification and volatility risk pricing. Earlier foundational work established paradigms for structural break detection and nonparametric forecasting.

Nigar Taşpınarمشاهده پروفایل

استادیار

• Financial Management
• Energy and Environmental Economics
• Energy Finance
• +۲ مورد دیگر

Asst. Prof. Dr. Nigar Taşpınar is an Assistant Professor in the Department of Banking and Finance at Eastern Mediterranean University (EMU), North Cyprus. She holds a Ph.D. in Finance from EMU (2016), an MSc in Banking and Finance (2011), and a BSc in Banking and Finance (2010), all from EMU. Her roles include teaching courses like Financial Modeling, Applied Financial Statistics, and Volatility in Finance. She is affiliated with the Faculty of Business and Economics, with research interests in Financial Management, Energy and Environmental Economics, and Applied Econometrics. Her research focuses on environmental Kuznets curves, energy finance, and financial development impacts. She has served as a reviewer for prestigious journals and co-edits the Eurasian Review of Business and Finance. Recent studies examine oil/gold spillovers on stock markets, Twitter-based uncertainty effects, and volatility linkages between cryptocurrencies and energy firms. She has authored/co-authored over 30 peer-reviewed papers in journals like Renewable and Sustainable Energy Reviews and Science of the Total Environment. Education: Ph.D. in Finance, EMU (2016) MSc Banking and Finance, EMU (2011) BSc Banking and Finance, EMU (2010) Key Research Areas: Financial Economics Energy Finance Environmental Kuznets Curve Market Volatility Analysis Professional Service: Session Chair at academic conferences Reviewer for multiple journals Her work bridges financial markets, energy economics, and environmental policy, with recent emphasis on pandemic impacts and cryptocurrency dynamics. Grants and collaborations focus on sustainable development and macroeconomic linkages.

Stella Kitromilidouمشاهده پروفایل

دانشگاهی

• Financial Risk Management
• Credit Scoring
• Time Series
• +۴ مورد دیگر

Dr Stella Kitromilidou is an Associate Lecturer in Statistics at UCLan Cyprus, holding a Ph.D. in Statistics from the University of Cyprus (2015). Her roles include teaching modules like Computational Statistics, Operational Research, and Exploratory Data Analysis. She concurrently serves as a Statistician at KPMG Cyprus for Financial Risk Management and collaborates with Agilis Statistics and Informatics Ltd on Official Statistics projects. Her research focuses on Financial Risk Management, Time Series Analysis, Robust Statistics, and European Surveys. Notable contributions include work on the European Health Interview Survey and pesticide residue analysis for EFSA. She has secured grants such as the Cyprus Research Promotion Foundation’s ‘Regression Models for Integer Valued Time Series’ and the ERC-PoC MONITOR project for economic indicator forecasting. Dr Kitromilidou has presented at international conferences including the 1st Cyprus Statistical Society Meeting and the Non-Stationarity in Statistics and Risk Management conference. Her consultancy work includes projects for Eurostat, DG CNECT, and the European Commission’s Joint Research Centre.

Theofanis Sapatinasمشاهده پروفایل

استاد

• Functional Data Analysis
• Functional Time Series Analysis
• Signal Detection and Goodness-of-Fit Checks in Ill-Positioned Inverse Problems
• +۲ مورد دیگر

Theofanis Sapatinas is a Professor in the Department of Mathematics and Statistics at the University of Cyprus, within the School of Natural and Applied Sciences. He has maintained this position since 2010, following his progression from Assistant Professor (2001-2005) to Associate Professor (2005-2010) at the same institution. His educational background includes: BSc in Mathematics (1989) from the Department of Mathematics, University of Athens, Greece MSc in Statistics (1991) from the Department of Probability and Statistics, University of Sheffield, United Kingdom PhD in Statistics (1994) from the Department of Probability and Statistics, University of Sheffield, United Kingdom Professor Sapatinas has established himself as a leading researcher in several specialized areas of statistics. His primary research interests focus on Functional Data Analysis and Functional Time Series Analysis , where he has made significant contributions to methodological development and theoretical understanding. He has also conducted important work in Signal Detection and Goodness-of-Fit Checks in Ill-Positioned Inverse Problems , addressing challenging statistical problems where traditional methods fail. His research extends to Non-Parametric Regression techniques, particularly through wavelet-based approaches, and the theoretical investigation of Characteristics and Structural Properties of Probability Theoretical Distributions . Much of his work bridges theoretical statistics with practical applications, especially in signal processing and time series forecasting. Analysis of Professor Sapatinas' publication record reveals a consistent focus on functional data analysis, wavelet methods, and inverse problems. His research trajectory shows an evolution from foundational theoretical work on probability distributions to increasingly sophisticated applications in functional time series and signal detection. A notable pattern is his extensive collaboration with researchers across Europe, particularly in Greece, France, and the UK. His work frequently appears in top-tier statistics journals including Annals of Statistics, Biometrika, and Journal of the Royal Statistical Society. Over time, there's been a clear shift toward more applied problems while maintaining strong theoretical underpinnings, with recent work focusing on bootstrap methods for functional data and practical implementations in fields like power systems forecasting. Professor Sapatinas has held postdoctoral positions at the University of Exeter (1993-1996) and the University of Bristol (1996-1998), followed by a Lecturer position at the University of Kent at Canterbury (1998-2000) before joining the University of Cyprus. His research has been supported through various academic appointments and collaborations across European institutions, though specific grant information is not detailed in the available materials. As a professor, he has likely supervised numerous graduate students, though specific names are not provided in the current information.

Andreas Artemiouمشاهده پروفایل

استاد

• Statistical Methods
• High-Dimensional Data Analysis
• Dimension Reduction
• +۳ مورد دیگر

Dr. Andreas Artemiou serves as Professor, Vice Rector for Academic Affairs and Quality Assurance, and Dean of the Technology and Innovation School at the University of Larnaca's Department of Information Technologies. His leadership spans academic administration and cutting-edge statistical research with global collaborations. His academic foundation includes: BSc in Mathematics and Statistics from University of Cyprus (2005) MSc and PhD in Statistics from Pennsylvania State University (2008, 2010) Artemiou's research pioneers statistical methods for high-dimensional datasets, specializing in dimension reduction, kernel techniques, and machine learning applications. His work bridges theoretical innovation with practical implementations across engineering, computer science, and medical sciences, particularly evident in pandemic-related mortality analysis and cytometry data processing. Recent publications (2021-2024) reveal accelerating focus on SVM-based dimension reduction, sparse modeling, and medical applications. The trajectory shows increasing interdisciplinary impact, with 2024 works emphasizing matrix data analysis and time-series dimension reduction for real-world health crises. His professional recognition includes: New Researcher Fellow at Statistics and Applied Mathematical Sciences Institute Artemiou actively contributes to major collaborative initiatives without explicit grant details. His editorial role at Computational Statistics and Data Analytics journal and board membership in the European Statistical Computing Association highlight academic leadership. Current projects drive innovation in cytometry analysis and pandemic mortality modeling. He directs CytoPy - an autonomous cytometry analysis framework - and leads pandemic mortality research through the international CMOR consortium, demonstrating commitment to translating statistical theory into public health solutions.

George Portidesمشاهده پروفایل

استادیار

• Robust Statistics
• Statistical Regression Modelling
• GLM Framework
• +۵ مورد دیگر

George Portides serves as an Assistant Professor in the Department of Computer Science within the School of Sciences and Engineering at the University of Nicosia. With a career spanning several decades, he has been a faculty member at the University of Nicosia since 2007, following his position as Assistant Professor at Intercollege from 1997-2007. He previously held visiting lecturer positions at Queensway College (1992-1995) and University of North London (1992-1997). Dr. Portides holds a Bachelor's degree in Mathematics and Statistics, a PhD in Statistics, and a Postgraduate Diploma in Statistics, all from the University of North London, with additional studies at the University of Warwick. His educational background forms the foundation for his expertise in statistical methodologies. His research primarily focuses on robust statistics, statistical regression modeling within the GLM framework, simulation, and statistical computing. More recently, his work has expanded into educational quality assurance, with significant contributions to curriculum reform, stakeholder participation in education program design, and higher education accreditation processes. His fingerprint analysis reveals strong connections to quality measures, computer science degree programs, and quality control standards in educational contexts. Analysis of his publication trends shows a clear evolution from pure statistical research toward educational methodology and quality assurance in higher education. Since 2014, over 70% of his publications address educational program design, accreditation, and quality control, demonstrating his growing focus on improving educational standards and processes through statistical approaches. During his tenure at the University of Nicosia, Dr. Portides has played significant institutional roles, most notably serving as President of the University's Faculty Union Council from 2012-2017. He was actively involved in the formation of the new BSc programme in Mathematics. His h-index of 4 (based on Scopus data) reflects his scholarly contributions across both statistical research and educational innovation. Dr. Portides maintains active research collaborations, particularly in the areas of educational quality assurance and program accreditation. His work frequently involves stakeholder participation frameworks and quality control mechanisms for higher education programs, positioning him as a contributor to educational improvement initiatives within the University of Nicosia and the broader academic community.

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Pouya Bolourchi is an Associate Professor in the Faculty of Engineering at Final University. He holds a Doctoral Degree in Electrical and Electronic Engineering from Eastern Mediterranean University (2018), a Master's Degree from the same institution (2012), and a Bachelor's Degree from Girne American University (2009). His research focuses on machine learning applications in biomedical engineering, optimization algorithms, medical imaging, and signal processing. Key research interests include Alzheimer's disease diagnosis through statistical methods, SAR (Synthetic Aperture Radar) image recognition using moment-based techniques, and industrial optimization problems leveraging swarm intelligence (e.g., particle swarm optimization). His work bridges computational methods with real-world applications in healthcare and engineering systems. Recent publications emphasize advancements in feature selection strategies, ensemble learning, and genetic algorithm implementations for medical diagnostics and industrial system reliability. Notable contributions include improving gene expression analysis via entropy-fisher score and developing novel approaches for Parkinson’s disease detection using biogeography-based optimization. His academic contributions span over 20 peer-reviewed articles, with a focus on interdisciplinary applications of machine learning in healthcare, remote sensing, and industrial engineering. Collaborations highlight the practical deployment of optimization algorithms in electrostatic precipitator systems and baghouse design.

Christos Christodoulou-Volosمشاهده پروفایل

دانشیار

• Macroeconometrics
• Monetary Economics
• Financial Economics
• +۳ مورد دیگر

Dr. Christos Christodoulou-Volos is an Associate Professor of Economics and Finance and Head of the Department of Economics and Business at Neapolis University Paphos (NUP). He holds an MA, MPhil, and PhD in Economics from the City University of New York (CUNY). His research focuses on macroeconometrics, financial economics, and econometric modeling with particular emphasis on financial asset pricing, risk management, and unobserved components models. His academic contributions include over 20 peer-reviewed articles examining topics such as non-performing loans in Cyprus, cryptocurrency tail risk, and stock market dynamics during crises. He has held senior roles in U.S. financial institutions specializing in litigation economics and trade association analysis. His teaching spans macroeconomics, financial economics, econometrics, and statistics across multiple global universities. Key methodological specializations include GARCH/FIGARCH models, unobserved components analysis, and empirical macroeconomic modeling. His recent work addresses pandemic impacts on financial markets and structural shifts affecting asset pricing frameworks.

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.

Yongcheol Shinمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• Financial Econometrics
• +۴ مورد دیگر

Yongcheol Shin is a Full Professor at the University of York's Department of Economics and Related Studies, where he has been affiliated since September 2011. His research spans econometrics, financial risk, and time series analysis, with a focus on innovative methodologies for complex data structures. His work integrates panel data modeling, network analysis, and quantile regression to address challenges in forecasting, financial contagion, and cross-sectional dependence. Recent projects explore: Dynamic quantile models for heterogeneous panels Business cycle synchronization via network topology Asymmetric responses in financial markets With 157 publications, his articles frequently appear in top econometrics journals, emphasizing methodological rigor and empirical applications in macroeconomics and finance. Collaborative projects with international co-authors underscore his global research network.