جستجوی استاد راهنمای دانشگاهی

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .

• Stochastic Optimization
• Robust Optimization
• Operations Management
• +۴ مورد دیگر

Christodoulou Chris is a Professor at the Department of Computer Science, University of Cyprus. He joined in 2005 and holds a Visiting Research Fellowship at Birkbeck College, University of London. His educational background includes a BEng in Electronic Engineering from Queen Mary and Westfield College (1991), a PhD in Neural Networks from King's College London (1997), and a BA in German from Birkbeck College (2008). His research focuses on Computational Neuroscience, Neural Networks, and Machine Learning, with specific interests in neural coding, self-control modeling, computational neuronal modeling, multi-agent reinforcement learning, and practical machine learning applications. Recent publications (2013-2025) demonstrate interdisciplinary approaches combining neuroscience, computer science, and optimization techniques, with emerging emphasis on protein structure prediction and biomedical applications. Scientific awards include: Best Paper Award, ICSR 2015 Best Paper Award, MODELS 2008 Doctoral Symposium He leads the Computational Intelligence and Neuroscience (CIN) research group and has secured funding from European projects (SocioCoast, CYberSafety, TAMIT). He mentors students through Google Summer of Code and collaborates internationally.

• Computational Neuroscience
• Neural Networks
• Machine Learning

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.

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

Prof. Dr. Béla Vizvári is a faculty member at the Industrial Engineering Department of Eastern Mediterranean University (EMU), TRNC. He holds a PhD in Mathematics/Operations Research from the University of Budapest (1979) and a dr.sc.nat. from Technical University of Merseburg/GDR (1987). He has served in prominent academic roles, including visiting professorships at Rutgers University and Bilkent University. His research focuses on optimization theory, integer programming, scheduling, and supply chain management. He has supervised numerous PhD and MSc theses, including recent works on vaccine inventory management, humanitarian logistics, and smart product design. Education: PhD: University of Budapest, Mathematics/Operations Research (1979) MSc: University of Budapest, Mathematics/Operations Research (1973) Research interests span operations research methodologies, with notable contributions to the Frobenius problem and Lagrange multipliers in integer programming. His work integrates theoretical advancements with practical applications in manufacturing, logistics, and healthcare. Over 90 journal papers and book chapters highlight his prolific output. He has received several awards for academic excellence and teaching. Notable grants include projects on stochastic programming, non-convex optimization, and market trend analysis. Administrative roles include directing the Institute of Mathematics I at Eötvös Loránd University and editorial roles in journals like Periodica Mathematica Hungarica and Pure Mathematics and Applications .

• Operations Research
• Optimization Theory
• Integer Programming
• +۴ مورد دیگر

Professor Mavronicolas Marios is a faculty member in the Department of Computer Science at the University of Cyprus. His academic journey includes a Diploma in Electrical Engineering (Summa Cum Laude) from the National Technical University of Athens (1985) and a Ph.D. in Computer Science from Harvard University (1992). His research focuses on Algorithm Theory, Game Theory, Distributed Computing, Networking, and Internet Systems. He has held visiting positions at institutions such as the University of Connecticut and the University of Paderborn. Over 100 publications in top-tier venues highlight his contributions to computational complexity, Nash equilibria, and network security. His work bridges theoretical computer science with practical applications, emphasizing strategic decision-making and distributed systems. Research areas include the computational complexity of Nash equilibria, game-theoretic models for network security, and algorithmic challenges in distributed systems. He has explored topics like risk-averse equilibria, congestion games, and the structural properties of multi-player games. His recent work addresses decision problems in win-lose scenarios and the existence of equilibria under varying valuation functions.

• Computer Science
• Algorithm Theory
• Game Theory
• +۳ مورد دیگر

Professor Panos Papanastasiou is affiliated with the Department of Civil and Environmental Engineering at the University of Cyprus, within the School of Engineering. He has held significant administrative roles including founding President of his department, Dean of the School of Engineering, and founding Director of the Master's Program in Natural Gas Engineering. PhD in Civil Engineering, University of Minnesota (1990) MS in Civil Engineering, University of Minnesota (1986) BSc in Civil Engineering, National Technical University of Athens (1984) His research focuses on geomechanics across petroleum engineering, energy transition, and environmental applications. Key areas include hydraulic fracturing , wellbore stability , sand production , and CO2 geological storage . He also investigates green hydrogen storage , photovoltaic cracking , and offshore pipeline dynamics . Recent publications highlight his leadership in hydraulic fracturing modeling (2025), green hydrogen integration (2024), and geomechanical analysis of faulted reservoirs (2025). His work spans computational mechanics, energy systems, and environmental risk assessment. Scientific Recognition : Top 2% scientist worldwide in Geoscience, Energy and Engineering (Stanford University ranking)

• Applied Mechanics
• Computational Mechanics
• Plasticity
• +۱۲ مورد دیگر

Shahab Dehghan is a Research Fellow specializing in sustainable energy systems at the University of Leeds. His work focuses on optimization models for microgrid planning under uncertainty, renewable integration, and resilient power networks. He contributed to the CRESUM-HYRES project developing tools for hybrid renewable systems. Technical Expertise: Stochastic optimization, distributionally robust modeling, and power system security constraints.

• Power Systems
• Microgrid Planning
• Renewable Integration
• +۲ مورد دیگر

Charalambos Pissaridis is an alumnus of Cyprus University of Technology (CUT), where he served as a Research Assistant. He holds a Bachelors in Electrical Engineering (2021) from CUT under the supervision of Dr. Petros Aristidou. His research focuses on electric vehicle integration and its impact on power distribution networks, employing stochastic modeling and Monte Carlo simulations. Education: Bachelor of Science in Electrical Engineering, Cyprus University of Technology (2021) Research: His work analyzes how electric vehicle penetration affects low-voltage distribution grids, with a focus on load profile dynamics and charging strategies. He co-authored a thesis titled Impact of Electric Vehicles on the Cyprus Distribution Network , which evaluates grid resilience under varying EV adoption scenarios. Contributions: His research highlights the importance of grid control techniques to mitigate peak loads and optimize energy distribution. The study was conducted at the SPS-lab (https://sps-lab.org/publication/2021thpantelipissaridis/).

• Electric Vehicles
• Power Grids
• Electrical Engineering
• +۳ 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.

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

Assistant Professor Amr Abdelbari is affiliated with the Data Analytics Engineering Department at Near East University. His research focuses on wireless communication systems, signal processing, and machine learning applications in telecommunications. Academic Rank: Assistant Professor University: Near East University Department: Data Analytics Engineering Research interests include: Massive MIMO and 5G network optimization Direction-of-Arrival (DOA) estimation techniques Machine learning for wireless communication IoT applications in civil engineering Probabilistic and fuzzy logic-based signal processing Recent publications (2020-2025) demonstrate expertise in wideband signal processing, NOMA systems, and error probability modeling. Key trends in his work include integrating fuzzy logic for network optimization, improving DOA estimation for 5G systems, and applying neural networks to renewable energy modeling. Contact: amr.abdelbari@neu.edu.tr

• Wireless Communication Systems
• Signal Processing
• 5G Networks
• +۴ مورد دیگر

Ahmet Ünveren is an Assistant Professor in the Department of Computer Engineering at Eastern Mediterranean University's Faculty of Engineering. He maintains an active research profile in computational intelligence and optimization algorithms while supervising numerous graduate students. Education: PhD in Computer Engineering (1996-2002), Eastern Mediterranean University MS in Applied Mathematics & Computer (1994-1996), Eastern Mediterranean University BS in Applied Mathematics and Computers (1989-1994), Eastern Mediterranean University Dr. Ünveren's research focuses on evolutionary algorithms, optimization techniques, and artificial intelligence. His work spans multi-objective optimization, metaheuristics, and computational intelligence applications. He has developed novel approaches to problems like the quadratic assignment problem, vehicle routing, and nurse scheduling through hybrid algorithmic frameworks. His most recent publications demonstrate a continued focus on enhancing optimization algorithms through memory structures, hybrid approaches, and multi-objective frameworks. His research shows a progression from basic evolutionary algorithms to sophisticated hybrid methods incorporating reinforcement learning elements in recent work. Supervision: Dr. Ünveren has supervised numerous graduate students, including multiple PhD candidates and over 20 Master's students. His students' research covers evolutionary algorithms, optimization techniques, machine learning applications, and various computational intelligence methods. Current PhD students continue to explore reinforcement learning integration with evolutionary algorithms for complex optimization problems.

• Evolutionary Algorithms
• Optimization
• Artificial Intelligence
• +۵ مورد دیگر

Professor Gökhan İzbırak serves as Department Head of Industrial Engineering at Eastern Mediterranean University's Faculty of Engineering in Northern Cyprus. His academic leadership spans teaching core courses including Engineering Economy, Project Management, and Production Planning and Scheduling for undergraduate and graduate programs. His educational background includes a PhD in Mathematics (1999), MBA in Business Administration (1993), and BS in Industrial Engineering (1986) from Eastern Mediterranean University and Middle East Technical University respectively. His research focuses on mathematical optimization for complex industrial systems with particular expertise in supply chain sustainability and logistics networks. Professor İzbırak's scholarly work demonstrates consistent specialization in quantitative methods for industrial systems, with recent supervision of doctoral research examining electric vehicle routing, humanitarian logistics, and stochastic facility location problems. His methodology integrates operations research with practical industrial applications across manufacturing and service sectors. As academic advisor, he has successfully guided nine graduate students to completion including four PhD candidates and five Master's students, with one doctoral candidate currently ongoing. His administrative responsibilities include departmental leadership and course coordination for key Industrial Engineering curriculum components. He maintains active research connections with EMU's Electric Vehicle Development Center (EVDC) and participates in academic service through journal reviewing and conference session chairing activities as documented in his professional profile.

• Operations Research
• Supply Chain Management
• Logistics Optimization
• +۳ مورد دیگر

Assoc. Prof. Sahand Daneshvar is a faculty member in the Department of Industrial Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Mathematics (2002) from an unspecified institution, an MS in Applied Mathematics (1996), and a BA in Institutional Mathematics (1993). His research focuses on optimization techniques, particularly Data Envelopment Analysis (DEA), applied to diverse sectors such as healthcare, supply chain, and environmental sustainability. He is actively involved in teaching courses like IENG212/Modeling and Optimization, IENG314/Operations Research II, and graduate-level optimization modules. Education: PhD in Mathematics, 2002 MS in Applied Mathematics, 1996 BA in Institutional Mathematics, 1993 Research Interests: His work emphasizes DEA-based methodologies for efficiency evaluation, failure mode analysis (FMEA), and multi-criteria decision-making frameworks. Key areas include optimizing healthcare systems, green supply chains, and renewable energy policies. Recent studies explore applications in forex market forecasting using deep learning and spatiotemporal data analysis. Publications: Over 30 peer-reviewed articles highlight his contributions to operations research and industrial engineering. Notable trends include DEA model modifications for benchmarking, integrating smart FMEA for safety systems, and applying hybrid algorithms for energy storage optimization. Advising & Grants: Supervised 27+ theses (11 PhD/16 MS) on topics like DEA in healthcare efficiency, supply chain risk management, and forex prediction. Active in reviewing and editorial roles for academic journals. Labs/Teams: Engages in cross-disciplinary projects at EMU, focusing on optimization, sustainability, and industrial applications. Collaborates with international researchers on projects funded by EMU and external grants.

• Operations Research
• Optimization
• Data Envelopment Analysis (DEA)
• +۵ مورد دیگر

Moyses Moyseos serves as a Lecturer in Innovation and Entrepreneurship at the School of Business & Management, University of Central Lancashire Cyprus. He delivers MBA-level instruction in New Enterprise Venture Development and Entrepreneurship Theory and Practice while concurrently holding operational leadership roles at Cyprus Research & Innovation Centre Ltd (CyRIC) and Gravity Ventures Incubator. His academic credentials include: MSc Engineering with Innovation & Entrepreneurship from University College London (2015) Diploma in Production & Management Engineering from Democritus University of Thrace (2014) European Business Network Incubation Training Essentials certification (2015) Research centers on quantitative finance-entrepreneurship intersections with emphasis on Entrepreneurial Finance , Valuation Metrics , and Startup Acceleration . His work examines Innovation Ecosystems through lenses of Business Intelligence , Technology Investment , and Due Diligence , addressing critical gaps in venture capital analytics and incubation frameworks. Publication analysis reveals dual-domain expertise: logistics optimization using set-covering heuristics (2013) and advanced energy forecasting through Grey Analysis/Monte Carlo integration (2013-2014). These works demonstrate cross-disciplinary methodology transfer from engineering to business contexts, particularly in stochastic modeling for resource allocation and demand prediction under uncertainty. Professional recognition includes: Cyprus State Scholarship Foundation award for diploma studies Through MBA pedagogy and operational management at CyRIC/Gravity Ventures, he bridges academic theory with startup mentoring. His consulting division oversees incubation programs while directing due diligence processes for technology investments, though specific grant funding details remain undisclosed in source materials. As Operations Manager for CyRIC's Consulting & Entrepreneurship Services and Gravity Ventures Incubator, he leads teams developing Cypriot innovation infrastructure through structured acceleration programs, corporate partnerships, and ecosystem mapping initiatives that connect local startups with European networks like EU|BIC.

• Entrepreneurial Finance
• Business Intelligence
• Valuation Metrics
• +۶ مورد دیگر

Prof. Dr. Nazim Mahmudov is a Professor and Department Head of Mathematics at Eastern Mediterranean University. He holds a PhD in Stochastic Systems from the Institute of Cybernetics, Azerbaijan. His research focuses on fractional calculus, stochastic processes, control theory, and approximation theory. He has authored over 200 publications in prestigious journals and supervised numerous PhD students. Key research interests include fractional differential equations, controllability of stochastic systems, and applications of fractional calculus. Recent work involves analytical solutions for delayed fractional systems and stability analysis of stochastic evolution equations. Awards include multiple EMU Publication Citation Awards (2017-2021) and the EMU Research Incentive Award (2017). He has advised over 30 PhD students, including notable scholars in fractional dynamics and stochastic systems. Current projects explore fractional impulsive systems and iterative learning control algorithms. His work bridges pure and applied mathematics, with applications in engineering and physics.

• Fractional Calculus
• Stochastic Processes
• Control Theory
• +۵ مورد دیگر