جست‌وجوی استاد و پژوهشگر

Angelos Georghiouمشاهده پروفایل

دانشیار

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

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 .

Bela Vizvariمشاهده پروفایل

استاد

• Operations Research
• Optimization Theory
• Integer Programming
• +۴ 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 .

Shahab Dehghanمشاهده پروفایل

پژوهشگر ارشد

• Power Systems
• Microgrid Planning
• Renewable Integration
• +۲ 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.

Theodosis Mourouzisمشاهده پروفایل

استادیار

• Information Security
• Cryptography
• Blockchain
• +۴ مورد دیگر

Dr Theodosis Mourouzis serves as an Assistant Professor of Information Management at the University of Nicosia and directs the MSc in Business Intelligence and Data Analytics program within the Department of Information Technologies. Academic Background: PhD in Information Security and Cryptography from University College London (UCL) MSc in Advanced Studies in Mathematics from University of Cambridge BA/MA in Mathematics from University of Cambridge Research Expertise: Dr Mourouzis specializes in information security with deep technical focus on cryptography (including symmetric/asymmetric cryptanalysis) and blockchain ecosystems . His work spans theoretical cryptanalysis of algorithms like GOST and SIMON to practical implementations such as privacy-preserving healthcare blockchain solutions. Current research emphasizes efficient blockchain design and security evaluation frameworks. Publication Trends: His 14 publications (2011-2021) reveal an evolution from foundational cryptanalysis (differential/algebraic attacks on ciphers) toward applied blockchain systems. Key thematic clusters include cryptographic security evaluation (35% of works), blockchain innovation (40%), and authentication systems (25%), demonstrating consistent technical rigor across theoretical and implementation challenges. Academic Leadership: As MSc Director, he oversees program development bridging technical cryptography research with business intelligence applications, indicating strong curriculum design capabilities and industry-academia translation focus.