جستجوی استاد راهنمای دانشگاهی

Kyriakidis Epaminondasمشاهده پروفایل

استاد

• Applied Probability and Stochastic Operations Research
• Markov decision processes
• Population models in Epidemiology and Ecology
• +۳ مورد دیگر

Epaminondas Kyriakidis serves as Professor in Applied Probability and Stochastic Operations Research at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), Greece. He joined AUEB in 2009 as Associate Professor and advanced to full Professor in February 2015, following prior academic appointments at the University of Crete, University of the Aegean, and Technological Educational Institute of Crete spanning 1993-2009. His academic credentials include: B.Sc. in Mathematics (1985) from the University of Athens M.Sc. in Statistics (1986) from Imperial College, London Ph.D. (1990) from Birkbeck College, University of London Professor Kyriakidis' research centers on stochastic modeling with applications spanning epidemiology, ecology, and industrial systems. His expertise in Markov decision processes and queueing control addresses critical challenges in disease modeling, maintenance optimization, and supply chain logistics. This work has been disseminated through leading journals including the Journal of Applied Probability and European Journal of Operational Research, reflecting his contributions to both theoretical and applied operations research. He teaches core courses such as Probability, Operations Research, Statistical Inference, and specialized subjects including Epidemic Models and Network Optimization at both undergraduate and graduate levels. No scientific awards or research grants are documented in the provided materials. Similarly, there is no mention of doctoral or master's students under his supervision.

Michael A. Zazanisمشاهده پروفایل

استاد

• Applied Probability
• Queueing Systems
• Stochastic Simulation
• +۴ مورد دیگر

Michael A. Zazanis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), where he has been a faculty member since 1997. He previously held positions as Assistant Professor at Northwestern University (1986-1993) and Associate Professor at the University of Massachusetts, Amherst (1993-1997). Dr. Zazanis received his Engineering Diploma from the National Technical University of Athens (1982), followed by an M.Sc. (1983) and Ph.D. (1986) in Applied Mathematics from Harvard University. His academic journey reflects a strong foundation in both engineering and theoretical mathematics. His research focuses on Applied Probability, Queueing Systems, Stochastic Simulation, and applications in Manufacturing and Risk Management. Over his career, his work has evolved from foundational perturbation analysis of queueing systems to contemporary research on age-of-information metrics in communication networks. His contributions span theoretical developments in stochastic processes and practical applications in production control systems and risk analysis. Dr. Zazanis has published extensively in leading journals including Journal of Applied Probability, Stochastic Processes and their Applications, Operations Research, Management Science, and Queueing Systems. His 1988 paper in Management Science on perturbation analysis for the M/G/1 queue is considered seminal in the field. Best Publication Award from the TIMS College on Simulation (1990) He has served in administrative roles including Graduate Program Director (2003-2006) and Head of the Statistics Department (2006-2008) at AUEB. Dr. Zazanis teaches undergraduate courses in Mathematical Methods, Stochastic Processes, and Probabilities, as well as graduate courses in Advanced Stochastic Processes and Operations Research. He is married to Corinna Anastassakou and has one son, Aristomenes.

Chalkias Christosمشاهده پروفایل

استاد

• Geographic Information Systems
• Applied Geography
• Spatial Analysis
• +۳ مورد دیگر

Christos Chalkias serves as Professor and Vice-Rector for Research, Development and Lifelong Learning at Harokopio University's Department of Geography. Based in Athens, Greece, his academic office is located in the Library Building (Office 4.5). His educational background includes a Degree in Geology (1991) and PhD in Physical Geography & Geoinformatics (1996), both completed at the National and Kapodistrian University of Athens. His research encompasses diverse geospatial domains with particular emphasis on: Geographic Information Systems & Science – Developing spatial analysis methodologies Applied Geography – Solving real-world environmental and societal challenges Spatial Analysis – Examining geographic patterns and processes Environmental Modeling – Simulating physical phenomena Health Geography – Analyzing spatial health disparities Digital Cartography – Innovating map visualization techniques Recent publications (2023-2025) demonstrate strong focus on geospatial applications in health epidemiology, environmental monitoring, and disaster management. His work frequently employs remote sensing, spatial statistics, and GIS technologies to address Mediterranean-region challenges including cardiovascular disease patterns, light pollution, soil degradation, and earthquake impacts. Distinct research trends include historical geospatial reconstruction, nocturnal earth observation, and community-engaged environmental sensing.

Ioannis S. Triantafyllouمشاهده پروفایل

دانشیار

• Statistics
• Applied Probability
• Nonparametric Statistical Process Control
• +۳ مورد دیگر

Ioannis S. Triantafyllou is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Piraeus, where he has been serving since 2022. Previously, he was an Associate Professor at the Department of Informatics with applications in Biomedicine at the University of Thessaly (2017-2021) and a Lecturer at the same department (2016-2017). He also serves as Collaborating Educational Staff at the School of Natural Sciences & Technology, Hellenic Open University since 2013. Education: Postdoctoral Research (2011) in Probability and Statistics at the University of Piraeus Doctoral Degree (2009) from the Department of Statistics & Actuarial Science, University of Piraeus Master's Degree in Applied Statistics (2005) from the University of Piraeus Bachelor's Degree (2002) from the Department of Mathematics, National & Kapodistrian University of Athens Dr. Triantafyllou's research focuses on Statistics and Applied Probability, with particular emphasis on Nonparametric Statistical Process Control, Nonparametric Statistical Inference, Statistical Reliability Theory, Order Statistics Theory, and Aging properties study. His work bridges theoretical statistics with practical applications in reliability engineering and quality control. He has developed innovative nonparametric methods for monitoring industrial processes without assuming specific distributional forms, which has significant implications for quality assurance in various industries. His recent publications demonstrate a strong focus on reliability structures, particularly consecutive-type systems, weighted components, and distribution-free control charts. The research shows a clear trend toward developing more sophisticated models that incorporate multiple failure modes, redundancy mechanisms, and nonparametric approaches that don't require distributional assumptions. His work increasingly intersects with applications in supply chain management, medical diagnostics, and engineering systems. Professional Recognition: Associate Editor at International Journal of Mathematical Engineering and Management Sciences Reviewer at Mathematical Reviews/MathSciNet Guest Editor for special issues in Mathematics, International Journal of Quality and Reliability Management, and Reliability: Theory and Applications Member of Scientific Committees for multiple Panhellenic Statistical Conferences Dr. Triantafyllou has supervised more than 60 undergraduate theses and over 35 master's theses throughout his career. His teaching spans 8 undergraduate and 23 graduate courses across multiple institutions, totaling more than 13 academic semesters of instruction. He has authored 18 teaching textbooks and served as a reviewer for 37 different international scientific journals, evaluating more than 70 papers. His research laboratory focuses on reliability engineering and statistical process control, with active collaborations across multiple institutions. Current projects involve developing advanced nonparametric control charts for industrial applications and studying complex reliability structures with multiple failure criteria.

• Food Chemistry
• Food Safety
• Packaging Materials
• +۲ مورد دیگر

Badeka Anastasia is an Associate Professor at the Department of Chemistry, University of Ioannina, specializing in Food Chemistry and Technology. She holds a PhD in Chemistry (2001) and has 20+ years of academic experience focused on food packaging safety and analytical methods. 1995–2013: 19 research grants (EU programs, Greek agencies) 2018–2020: HPLC/DAD and mass spectrometry unit management 2020–present: Food authenticity assessment via volatile analysis Her research spans food packaging migration , preservation technologies , and chemical differentiation of agricultural products . Key projects include NEA GNOSI (2012–2015) and RESTART (2016–2020) with Cypriot collaborators. Recent publications (2023–2025) focus on spirulina-infused cheese packaging , prickly pear authentication , and olive ripening profiles . She supervises 5 PhD/MSc students and has served on 38 departmental committees, including quality assurance and Erasmus+ initiatives.

Kunle Olukotunمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Programming
• Chip Multiprocessors
• +۴ مورد دیگر

Kunle Olukotun is a Professor of Electrical Engineering and Computer Science at Stanford University's School of Engineering, where he has been faculty since 1991. He directs the Stanford Pervasive Parallelism Lab (PPL) and co-leads the Transactional Coherence and Consistency (TCC) project. His research focuses on computer architecture, parallel programming environments, and scalable parallel systems. Key areas include chip multiprocessors (CMPs), transactional memory systems, domain-specific languages (DSLs) for heterogeneous computing, and hardware-software co-design for machine learning workloads. His work bridges theoretical foundations with practical systems implementation. Notable contributions include the Stanford Hydra research project (one of the first chip multiprocessors with thread-level speculation), founding Afara Websystems (acquired by Sun Microsystems), and developing the Niagara processor architecture. His DSL frameworks like Green-Marl and Spatial enable efficient graph analysis and hardware acceleration. His publications reveal strong trends in parallel systems evolution: from foundational CMP research (2000s) to transactional memory (2004-2010), then DSLs for heterogeneous computing (2010-2015), and currently foundation model systems (2023-2025). Subfield analysis shows consistent focus on hardware-software co-design, sparse computation, and compiler techniques across decades. ACM Fellow (2006) for contributions to multiprocessors on a chip and multi-threaded processor design Best Paper Award at IEEE International Symposium on Workload Characteristics (IISWC '10) for EigenBench Olukotun actively mentors researchers through the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate parallelism across application domains. His projects have secured significant industry partnerships, including the acquisition of his startup Afara Websystems by Sun Microsystems. Current research focuses on compiler frameworks for foundation model systems and hardware acceleration for sparse machine learning workloads, supported by collaborations with major tech companies. He leads the Stanford Pervasive Parallelism Lab (PPL), which develops compiler and runtime systems for heterogeneous architectures. The lab's work spans DSLs, hardware acceleration, and parallel programming models, with strong industry ties to companies like NVIDIA and Google. Current initiatives include the Mosaic compiler framework and Stardust architecture for sparse tensor computation.

Ioannis Konstantarasمشاهده پروفایل

دانشیار

• Operations Research
• Inventory Control
• Reverse Logistics
• +۴ مورد دیگر

Ioannis Konstantaras is an Associate Professor at the Department of Business Administration, University of Macedonia, Thessaloniki, Greece, holding this position since July 2016. He contributes to the Master in International Business, Master in Business Administration, and Master in Business Analytics and Data Science programs. His academic qualifications include: B.Sc. in Mathematics from Aristotelian University of Thessaloniki (1999) M.Sc. in Statistics & Operations Research from University of Ioannina (2001) Ph.D. in Operations Research from University of Ioannina (2006) Konstantaras specializes in mathematical modeling and optimization of inventory systems for supply and reverse logistics chains. His research addresses production planning, deteriorating items, imperfect quality products, and recovery processes through operations research methodologies. He develops analytical models for optimizing decision-making in complex logistics environments. His publication record (2010-2014) shows concentrated research on inventory models for deteriorating items, lot-sizing in recovery systems, and pricing strategies for reverse logistics. Key contributions include extensions to Economic Order Quantity models, optimization of two-warehouse systems, and integration of inspection learning effects in quality control. He serves as Co-Editor for the International Journal of Systems Science: Operations & Logistics since January 2014 and has reviewed for numerous international journals. Konstantaras led the research program "Logistics Management: Quantitative Methods for Inventory Management" funded by the ARCHIMEDES program under EPAYAEK II. No publicly available information lists his doctoral advisees.