Find Academic Supervisors

• Computational Fluid Dynamics
• Aerodynamic Design
• Ship Hull Reconstruction
• +4 more

Nikolos Ioannis serves as a Professor at the School of Production Engineering and Management, Technical University of Crete, currently on leave but maintaining active research status. His work spans computational fluid dynamics, aerodynamics, and marine engineering within the Department of Production Engineering and Management. His primary research focuses on computational fluid dynamics with emphasis on ship hull reconstruction from 2D drawings, hypersonic flow simulation, and wind turbine optimization. Recent publications demonstrate expertise in geometric modeling , rarefied gas dynamics , and renewable energy systems . The 2025-2020 article portfolio reveals consistent contributions to naval architecture, aerodynamic shape optimization, and laser-matter interactions with strong methodological focus on B-spline functions, DSMC methods, and differential evolution algorithms. Professor Ioannis maintains an active email contact ( inikolos@tuc.gr ) and office location at D4.107 in the MPD Building. His work shows significant interdisciplinary connections between production engineering, computational physics, and marine applications with particular strength in translating theoretical models to practical engineering solutions.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +4 more

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Andreas LyberatosView profile

Associate Professor

• Numerical Methods in Applied Magnetism
• Magnetic Viscosity
• High-Speed Magnetization Switching
• +4 more

Andreas Lyberatos is an Associate Professor at the Department of Materials Science and Technology, University of Crete. He obtained his B.Sc. in Physics from the University of London (1982) and a Ph.D. in Physics (1986) from the same institution. His research focuses on Numerical methods in applied magnetism Magnetic viscosity in nanoparticles and thin films High-speed switching dynamics FePt media for heat-assisted magnetic recording (HAMR) Ballistic thermal transport in magnetic multilayers . His recent publications emphasize HAMR media, magnetic reversal mechanisms, and thermal effects in ultrafast switching. Collaborative work with Seagate Technology (2000–2008) and academic roles across the UK and Greece highlight his interdisciplinary expertise.

• Star formation
• Interstellar medium physics
• MHD simulations
• +3 more

Kostas Tassis serves as Professor in the Department of Physics at the University of Crete, Greece, having joined in 2012 as Assistant Professor, promoted to Associate Professor in 2018, and to full Professor in 2023. He leads the PASIPHAE project (Polar-Areas Stellar-Imaging in Polarization High-Accuracy Experiment), an ERC Consolidator Grant awarded in 2018, and maintains active affiliations with Skinakas Observatory and the Institute of Theoretical and Computational Physics. His academic background includes: BSc in Physics from the University of Thessaloniki (1999) PhD in Theoretical Astrophysics from the University of Illinois at Urbana Champaign (2005) His research centers on star formation processes, interstellar medium physics, and magnetohydrodynamic simulations, with particular emphasis on cosmic magnetic fields and their role in astrophysical systems. He employs both theoretical modeling and observational polarimetry to investigate phenomena ranging from molecular cloud dynamics to cosmological-scale magnetic field effects. Analysis of his recent publications reveals dominant focus on LiteBIRD mission simulations, interstellar dust polarization, and magnetic field strength estimation techniques. Key thematic clusters include cosmic microwave background polarization analysis, blazar variability studies, and computational approaches to non-ideal magnetohydrodynamics in star-forming regions, demonstrating strong integration of observational data with theoretical modeling. Notable recognitions include: ERC Consolidator Grant for PASIPHAE project (2018) His research program involves extensive international collaboration, particularly through the PASIPHAE survey and LiteBIRD mission consortia. Current work emphasizes polarimetric instrumentation development and large-scale cosmic magnetometry, with significant contributions to understanding magnetic field roles in galaxy evolution and star formation processes. He maintains active involvement with multiple University of Crete research units including the Crete Center for Theoretical Physics (CCTP) and Skinakas Observatory, where observational components of his PASIPHAE work are conducted.

• Health Economics
• Econometric Modeling
• Cost-Effectiveness Analysis
• +3 more

Maria Raikou is a Professor at the Department of Economics , University of Piraeus , where she has taught since 2015. She holds a degree in Electrical and Computer Engineering from National Technical University of Athens and M.Sc./Ph.D. in Health Economics from City University, London . Her career includes research roles at University of Oxford , City University , and London School of Economics , plus consultancy for NICE , UK Department of Health, and pharmaceutical companies. Current academic rank: Professor Primary affiliation: University of Piraeus Research collaborations: LSE Health Policy Department Research Interests Her work focuses on: Econometric models for healthcare cost-effectiveness Medical technology diffusion analysis Hospital cost-quality relationships Policy evaluation in public health programs She has published in Health Economics , Lancet , British Medical Journal , and Journal of Health Economics , with recent articles spanning cancer screening, cardiovascular prevention, and chronic disease management. Her teaching portfolio includes both undergraduate microeconomics and postgraduate health economics courses. Scientific Awards & Collaborations While no specific awards are listed, she maintains active collaborations with international institutions including: London School of Economics (Research Associate & Visiting Lecturer) Onassis Cardiology Center Board (2015-2018) European Commission Horizon 2020 projects Her 15 most recent publications demonstrate expertise in health policy modeling, clinical interventions, and cross-country healthcare comparisons.

• Partial Differential Equations
• Dynamic Systems
• Applied Analysis
• +3 more

Stefanopoulos Vangelis is a Professor at the University of Patras, affiliated with the Division of Applications and Foundations of Computer Science. His research spans mathematics and computer science, focusing on theoretical and applied problems. University: University of Patras Department: Division of Applications and Foundations of Computer Science Academic Rank: Professor Research Interests: His work centers on Partial Differential Equations, Dynamic Systems, and Applied Analysis, with applications in mathematical physics, algorithmic modeling, and computational theory. Key areas include eigenvalue problems, universal series, and stability analysis. Email: vstefan@ceid.upatras.gr Office Hours: Tuesday (9:00-11:00, 10:00-11:00 when no meetings), Friday (12:00-14:00) or by appointment.

Ioannis SkarmoutsosView profile

Assistant Professor

• Theoretical Physical Chemistry
• Computational Chemistry
• Supercritical Fluids
• +4 more

Ioannis Skarmoutsos is an Assistant Professor at the Department of Chemistry, University of Ioannina , specializing in Theoretical-Computational Physical Chemistry . His research employs multi-scale molecular simulations and statistical engineering theories to investigate complex fluid systems. Focus on supercritical fluids, ionic liquids, and nanoporous materials Applications in green chemistry, energy storage, and environmental technology Expertise in molecular dynamics and computational modeling Recent publications highlight his work on electrolyte design for batteries, nanoporous material simulations for gas separation, and anomalous properties of water under extreme conditions. His computational approaches address challenges in solvation dynamics, dielectric properties, and structural transitions across diverse thermodynamic states.

Maria HalkidiView profile

Associate Professor

• Data Mining
• Machine Learning
• Recommender Systems
• +6 more

Maria Halkidi is an Associate Professor in the Department of Digital Systems at the University of Piraeus, Greece, where she conducts cutting-edge research in data mining and machine learning with over two decades of academic experience. Her educational background includes: Bachelor's degree in Informatics from the University of Piraeus (1997) Master's degree from Athens University of Economics and Business (1999) Ph.D. from Athens University of Economics and Business (2003) Dr. Halkidi's research focuses on fundamental and applied aspects of data mining, particularly recommender systems, graph data mining, cluster validity assessment, and distributed data mining. Her work bridges theoretical frameworks with practical implementations in sensor networks, social media, and real-time analytics, contributing significantly to algorithmic development in these domains. Analysis of her recent publications reveals a strong trajectory toward fairness and diversity optimization in recommender systems, alongside innovative approaches to graph clustering quality assessment and scalable sentiment analysis. Her research consistently addresses real-world challenges in dynamic data environments, with increasing emphasis on multi-stakeholder optimization and privacy-aware recommendation frameworks. Scientific awards: No specific awards or honors were documented in the provided materials. Dr. Halkidi has participated extensively in National and European-funded research projects, including a prestigious Marie-Curie fellowship at the University of California, Riverside. She serves on program committees for major international conferences in data mining and machine learning, demonstrating active community engagement. While specific graduate students aren't listed in the source materials, her professorial role indicates ongoing mentorship of Master's and Ph.D. candidates. She maintains active research affiliations with the Network oriented systems & services lab and the DataStories research group at the University of Piraeus, where she collaborates on interdisciplinary projects involving big data analytics, social network analysis, and distributed systems.