جست‌وجوی استاد و پژوهشگر

Vassilis P. Plagianakosمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Bioinformatics
• +۵ مورد دیگر

Vassilis P. Plagianakos is an Associate Professor at the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. He has held visiting academic roles at the University of the Aegean, University of Patras, and University of Central Greece. He currently serves as the Department Head and Director of the postgraduate program Informatics and Computational Biomedicine in the School of Sciences. His research focuses on machine learning, neural networks, bioinformatics, and parallel computing with applications in healthcare and education. Education : Bachelor’s in Mathematics (1996), University of Patras Ph.D. in Mathematics (2003), University of Patras Research Interests : Plagianakos explores neural networks, evolutionary algorithms, and machine learning applications in bioinformatics, medical diagnosis, and educational technology. His work bridges computational methods with real-world challenges in healthcare (e.g., precision medicine) and STEM education (e.g., flipped classrooms, AI integration). Recent Trends in Publications : Recent work emphasizes predictive precision medicine using big data, blockchain scalability solutions, and AI ethics in automated content detection. He has pioneered methods like the HCER hierarchical clustering-ensemble regressor and developed tools for analyzing single-cell RNA sequencing data. Professional Activities : Member of IEEE Neural Networks Society, IEEE BBTC, and former Board Member of the Hellenic AI Society. Active in collaborative projects like CrowdHEALTH for policy-driven health data analytics.

Vamvatsikos Dimitriosمشاهده پروفایل

دانشیار

• Seismic Engineering
• Structural Dynamics
• Risk Assessment
• +۴ مورد دیگر

Vamvatsikos Dimitrios serves as an Associate Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), maintaining active research and teaching roles in seismic engineering and structural dynamics. His work centers on risk assessment methodologies, fragility analysis, and innovative seismic protection systems for buildings and critical industrial infrastructure. His research spans seismic risk assessment of oil refineries and industrial facilities, development of advanced protection systems (including inerter devices and fiber-reinforced elastomeric isolators), and experimental validation of non-structural component performance. Key methodological contributions include probabilistic fragility curve estimation via Bayesian updating, analysis of vertical ground motion effects, and hazard-consistent risk frameworks. His work extends to cultural heritage protection and infrastructure resilience decision-support systems. Recent publications (2024-2025) demonstrate intense focus on practical industrial risk assessment, particularly for oil refineries and steel racking systems, integrating experimental shaking table tests with computational modeling to validate seismic protection strategies like nonlinear steel fuses. A growing trend incorporates sustainability-driven design principles and climate change impacts into risk assessment frameworks. Scientific Awards: No scientific awards were documented in the provided source material. Advising and Grants: No information regarding student advising, research grants, or funding sources was available in the scraped content.

• Wireless Communications
• Satellite Communications
• Cybersecurity
• +۵ مورد دیگر

Athanasios G. Kanatas is a Professor at the Department of Digital Systems, University of Piraeus, Greece, and Director of the Telecommunication Systems Laboratory. He holds a Ph.D. in Mobile Satellite Communications from NTUA (1997), and has held roles such as Dean of the School of Information & Communication Technologies (2013–2017) and IEEE Communications Society Chairperson (1999). Education: Diploma in Electrical Engineering (NTUA, 1991), M.Sc. in Satellite Communication Engineering (University of Surrey, 1992), Ph.D. in Mobile Satellite Communications (NTUA, 1997). Research focuses on V2X communications, UAV-assisted networks, antenna design, stochastic geometry, and cybersecurity. He has published over 200 papers and authored 6 books, and leads projects in 5G/6G systems and integrated sensing-communication networks. His work includes pioneering contributions to aerial relay placement, fluid antenna systems, and hybrid beamforming techniques. He serves as Editor of IEEE Transactions on Wireless Communications, Associate Editor of IEEE Transactions on Antennas and Propagation, and is a Senior IEEE Member since 2002. Recent activities include extending the deadline for M.Sc. program applications and promoting internships for students. Labs/Teams: Directs the Telecommunication Systems Laboratory, collaborating on projects like ARGOS RFI monitoring and UAV corridor-assisted IoT networks. His research emphasizes practical implementation through prototyping and experimentation, with applications in aerospace, IoT, and intelligent transport systems.

Ioannis Stamelosمشاهده پروفایل

استاد

• Software Engineering
• Open Source Software
• Software Effort and Quality Estimation
• +۷ مورد دیگر

Ioannis Stamelos is a Professor of Software Engineering at the School of Informatics, Aristotle University of Thessaloniki (since 2015, research/teaching staff since 1997). He serves as Director of the Postgraduate Master Course in Interactive Hardware & Software Technologies. Major Research Areas: Open Source Software, Software Effort/Quality Estimation, Agile Methods, Enterprise Information Systems Key Projects: Deep Blue/AUTH Research Hub (2018-2022), BlockAdemic (blockchain-based micro-credentials), European Commission Open Source Policy Studies Research Trends from recent publications include: Process mining in library information systems Reusability metrics for software assets Bayesian networks in software project management Impact of design patterns on gaming software defects Technical debt assessment via structural metrics Blockchain applications in supply chain management Scientific Awards: Best Paper Award at IEEE DEST’09 Best Student Paper Award at ICSR 2012 Best Paper Award at QUATIC2012 Education & Leadership: PhD in Computer Science (1988), Diploma in Electrical Engineering (1983). Led numerous EU-funded projects (IST, ERASMUS, FP7) and national initiatives (ΓΓΕΤ, ΕΠΕΑΕΚ). Supervised PhD/MSc students in software reuse, OSS quality, and agile practices.

Costas Smaragdakisمشاهده پروفایل

استادیار

• Numerical Analysis
• Scientific Computing
• Mathematical Modelling
• +۹ مورد دیگر

Costas Smaragdakis is an Assistant Professor in Numerical Analysis and Scientific Computing at the Department of Statistics and Actuarial - Financial Mathematics, University of the Aegean. He is also a Member of the Institute of Applied and Computational Mathematics (IACM) at FORTH. His work bridges numerical methods, machine learning, and applied mathematics, with a focus on solving complex problems in finance and oceanography. Research Interests : Numerical Analysis Scientific Computing Mathematical Modelling Deep Learning Machine Learning Applications to PDEs/PIDEs Recent Research Trends : His articles highlight a strong focus on integrating deep learning with traditional numerical methods for functional minimization, PDE/PIDE solutions, and financial applications. Earlier work emphasizes acoustic signal processing, inverse problems in oceanography, and wavelet-based analysis. Events : Organized a mini-symposium on Machine Learning Methods in Finance (ICCF24, Amsterdam) and attended international workshops in Canada and Greece. Contact : kesmarag@aegean.gr , kesmarag@iacm.forth.gr , Office A5, Vourlioti Building, Karlovassi, Samos, Greece.

Nikolaos Efkolidisمشاهده پروفایل

استادیار

• Computational Design
• Digital Fabrication
• Product Design
• +۴ مورد دیگر

Nikolaos Efkolidis is an Assistant Professor at the University of Western Macedonia in the Department of Product and Systems Design Engineering . He is a member of the Computational Design and Digital Fabrication Research Lab ( codeplus.uowm.gr ) and co-founder of the design studio heptahedron.studio . Research Focus : Computational design, digital fabrication, AI-driven optimization, and sustainable product development. Key Techniques : Response Surface Methodology (RSM), Genetic Algorithms, Finite Element Analysis (FEA), and Additive Manufacturing. His recent publications highlight trends in multi-material 3D printing , machine learning for machining processes , and user-driven customization . Applications span footwear, marine robotics, and industrial design.

John Paparrizosمشاهده پروفایل

استادیار

• Databases
• Data Science
• Machine Learning
• +۵ مورد دیگر

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

Christos Diouمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Healthcare Applications
• +۳ مورد دیگر

Christos Diou is an Associate Professor of Artificial Intelligence and Machine Learning at the Department of Informatics and Telematics, Harokopio University of Athens, Greece. His academic career spans over 15 years of participation in national and international research projects, with a focus on machine learning algorithms, domain generalization, causal inference, and bias mitigation. He earned a BSc and Ph.D. in Electrical and Computer Engineering from Aristotle University of Thessaloniki. His research emphasizes the application of machine learning to healthcare, addressing challenges such as visual bias mitigation, causal effect estimation from observational data, and fairness-aware representation learning. Notable projects include REBECCA and RELEVIUM , both EU-funded, and MELIORA , targeting lifestyle interventions for breast cancer risk reduction. He has published extensively in top-tier venues like IEEE TPAMI, CVPR, and ICCV. Christos is a leading voice in AI ethics and healthcare innovation, with over 150 publications and best paper awards at IEEE Big Data Service 2023 and AIAI 2022. His work includes developing platforms like Effector for feature effects and Beam for behavior studies. He collaborates with institutions such as Karolinska Institutet and CERTH/ITI, and his students include PhD candidates Ioannis Sarridis and Aristotelis Ballas.

• Aerospace Engineering
• Fluid Dynamics
• Aerodynamics
• +۳ مورد دیگر

Dimitrios Rozakis is an Assistant Professor of Mechanical and Aerospace Engineering. He is actively engaged in research and teaching at the College of Engineering, where he leads the Aerodynamics & Propulsion Laboratory . Education PhD in Aerospace Engineering, National Technical University of Athens (2012) MSc in Fluid Mechanics, University of Manchester (2008) Diploma in Mechanical Engineering, Aristotle University of Thessaloniki (2006) Research Interests His research spans computational and experimental aerodynamics , with particular emphasis on: Transonic and supersonic flows Flow control using plasma actuators Hypersonic boundary-layer transition Reduced-order modelling and machine-learning techniques Turbomachinery aerodynamics Recent work has focused on high-fidelity simulations of buffet phenomena, experimental investigations of plasma-based separation control, and the development of data-driven surrogate models for unsteady aerodynamic loads. Selected Scientific Awards ASME Best Paper Award (2020) European Research Council Starting Grant (2018) AIAA Young Investigator Award (2016) Students, Grants & Funding He currently supervises three PhD students—Maria Koutsogianni, Panagiotis Giannakakis, and Eleni Christoforou—working on projects funded by the ERC, Horizon Europe, and the Greek Secretariat for Research & Technology. Active grants include an ERC Starting Grant on “Physics-informed machine learning for unsteady aerodynamics” (€1.5 M) and a Horizon Europe project on “Green regional aircraft technologies” (€4.2 M). Laboratory & Collaborations He directs the Aerodynamics & Propulsion Laboratory , which houses low-speed and transonic wind tunnels, a Ludwieg-tube facility for short-duration hypersonic experiments, and a high-performance computing cluster (>2 000 CPU cores). Ongoing collaborations include the von Karman Institute, DLR, and ONERA.

Bersimis Sotiriosمشاهده پروفایل

دانشیار

• Statistical Process Control
• Public Health Surveillance
• Health Analytics
• +۵ مورد دیگر

Sotirios Bersimis is an Associate Professor at the University of Piraeus, Department of Business Administration. He holds additional roles as an elected member of the board of directors of the National Statistical Institute (Greece) and representative for FenSTATs and ECAS. Previously, he served as President of the Hellenic Organization for Health Care Services (EOPYY) and as President of the European Healthcare Fraud & Corruption Network (EHFCN). His education includes a PhD in Statistics from the University of Piraeus, an MSc in Statistics from Athens University of Economics and Business, and a BSc in Statistics and Insurance Science from the University of Piraeus. His research focuses on stochastic models for process monitoring, statistical process control, and health analytics. He has published over 60 peer-reviewed articles in journals like Journal of Quality Technology , Statistics in Medicine , and Annals of the Institute of Statistical Mathematics . His work emphasizes applications in healthcare surveillance, quality management, and fraud detection. Notable contributions include the development of the Process Monitoring Group and the 'Multivariate Statistical Process Control Charts: An Overview' paper, which remains highly cited in the field. Bersimis has received awards such as the 2018 ENBIS Best Manager Award and a public honor from the Greek Prime Minister. He actively collaborates with healthcare institutions, pharmaceutical companies, and international organizations, contributing to projects on health expenditure modeling and anti-fraud initiatives. His teaching spans undergraduate and postgraduate programs in statistics, biostatistics, and data science.

Panagiotis Hadjidoukasمشاهده پروفایل

دانشیار

• Parallel Computing
• Distributed Systems
• High Performance Computing
• +۳ مورد دیگر

Panagiotis Hadjidoukas is an Associate Professor and Head of the Laboratory for Computing at the Computer Engineering and Informatics Department, University of Patras, within the School of Engineering. His work focuses on high-performance computing systems and parallel programming models. His research spans parallel and distributed computing , runtime support for parallel programming models , and automation of AI/ML workloads . Key contributions include developing the torc runtime system for task parallelism and pioneering work in extreme-scale scientific simulations. His interests bridge theoretical computer science with practical applications in scientific computing and AI acceleration. Notable achievements include the ACM Gordon Bell Prize Winner (2013) for 11 PFLOP/s cloud cavitation simulations and Finalist (2015) for in-silico lab-on-a-chip microfluidics. His software tools ( torc_lite , torcpy ) enable efficient parallelism across diverse architectures. Doctor of Philosophy (2003), University of Patras Master of Science (2001), University of Patras Diploma in Computer Engineering (1998), University of Patras As Head of the Laboratory for Computing, he leads infrastructure development while maintaining active research collaborations with IBM Research and ETH Zurich. His teaching portfolio includes graduate courses on high-performance computing for data sciences and parallel processing principles.

Varouchakis Emmanuelمشاهده پروفایل

استادیار

• Geostatistics
• Environmental Mining
• Sustainable Development
• +۳ مورد دیگر

Varouchakis Emmanuel is an Assistant Professor at the Department of Mining Technology within the School of Mineral Resources Engineering at the Technical University of Crete . His research focuses on Geostatistics , Environmental Mining , and Sustainable Development , with expertise in Risk Analysis , Stochastic Processes , and Machine Learning . He contributes to the Research Units of Geostatistics and Environmental Mining and Sustainable Development ( https://www.envi-stat.tuc.gr/en/home ). Research Trends: His recent publications address critical challenges in hydrogeological modeling, environmental risk assessment, and sustainable mining practices. Key themes include groundwater level analysis , geostatistical inversion , pit lake hazard frameworks , and multi-criteria decision-making for SDG implementation in mining contexts. Grants & Projects: He leads the HFRI-funded project "Advanced geostatistical modeling for natural resources evaluation" (2023-2025) and participates in EU initiatives like IMMERSE (2023-2025) for critical mineral education and REECOL (2023-2026) focused on ecological rehabilitation of post-mining areas, employing machine learning and remote sensing. Teaching: He teaches undergraduate courses in Statistics and Probability for Engineers and Applied Geostatistics , as well as postgraduate courses on Time Series Analysis and Geostatistical Simulation Methods .

Nikos E. Frangosمشاهده پروفایل

استاد

• Statistics
• Stochastic Analysis and Modeling
• Actuarial Science
• +۱ مورد دیگر

Nikos E. Frangos is a Professor in the Department of Statistics at Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. His research focuses on statistics, stochastic analysis, actuarial science, and pension fund valuation. He has published extensively in journals such as ASTIN Bulletin, Stochastic Processes and their Applications, and Insurance Mathematics & Economics. His work addresses applications in finance, insurance, and risk management. Academic Degrees: B.Sc. in Mathematics (1978, University of Athens), M.Sc. (1981) and Ph.D. (1984) in Mathematics from Ohio State University. Frangos' research emphasizes stochastic differential equations, reinsurance strategies, bonus-malus systems, and applications of Wiener chaos expansions. His recent publications explore finite mixture models, Sichel distribution, and hyperbolic SPDEs. He has taught undergraduate and graduate courses including Stochastic Processes , Insurance Mathematics , and Stochastic Finance , and participated in staff exchanges with Finland, Belgium, and Turkey. Scientific Awards: Best 2002 ASTIN paper award for "Optimal Bonus-Malus Systems" from the Casualty Actuarial Society, USA.

Angelos Kanasمشاهده پروفایل

استاد

• Finance
• International Finance
• Financial Markets
• +۲ مورد دیگر

Angelos Kanas is a Professor of Finance at the Department of Economics within the School of Economics, Business and International Studies at the University of Piraeus. His academic career spans over two decades with significant contributions to finance, banking, and econometric modeling, supported by continuous research funding from entities including NATO and the European Union. His educational background includes undergraduate studies funded by the Hellenic National Scholarships Foundation (I.K.Y.), an M.Sc. supported by the Bodosakis Foundation, and a Ph.D. financed by the National Scholarships Foundation (I.K.Y.). Kanas specializes in Finance, International Finance, Financial Markets, Financial Risks and Protection, and Banking. His research integrates advanced quantitative methods to analyze systemic risk, market efficiency, and policy impacts, with particular focus on regime-switching models and DEA efficiency measurements. Recent work explores intersections between climate finance, banking stability, and corporate governance. Analysis of his 15 most recent publications reveals an evolving research trajectory: early work (2005-2013) established expertise in exchange rate dynamics and asset pricing, while post-2015 research increasingly addresses banking regulation, systemic risk prediction, and methodological innovations in efficiency analysis. Current work (2022-2025) demonstrates strong engagement with climate-related financial risks and AI applications in finance. Hellenic National Scholarships Foundation (I.K.Y) studentship (undergraduate, three annual) Bodosakis Foundation scholarship (M.Sc.) National Scholarships Foundation (I.K.Y.) scholarship (Ph.D.) Kanas has secured research funding from NATO and EU bodies, reflecting recognition of his work's policy relevance. His extensive refereeing activities across 30+ journals including Journal of International Economics and Journal of Banking and Finance demonstrate scholarly leadership. He teaches core finance courses including International Finance and Special Topics in Finance, and has authored two academic books: Principles of Investment Analysis and Financial Markets (2021) and FinTech and Machine Learning: Basic Principles and Applications (2023).

Dimitrios Vamvatsikosمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Analysis
• Computational Mechanics
• +۵ مورد دیگر

Professor Dimitrios Vamvatsikos is a faculty member at the Laboratory of Steel Structures, National Technical University of Athens (NTUA). He holds a PhD in Civil & Environmental Engineering from Stanford University (2002), specializing in Earthquake Engineering. Prior to NTUA, he served as Assistant Professor at the University of Cyprus (2005–2010). His research integrates structural modeling, computational techniques, and probabilistic methods to assess seismic performance of structures. Key interests include seismic risk assessment, performance-based design, and dynamic analysis of steel structures. Education: BSc in Civil Engineering, NTUA (1997) MSc in Geomechanics, Stanford University (1998) PhD in Civil Engineering, Stanford University (2002) Research Interests: Professor Vamvatsikos focuses on seismic risk mitigation, fragility modeling, and structural dynamics. His work emphasizes practical applications for industrial facilities, oil refineries, and cultural heritage structures. Recent trends in his publications include hazard-consistent fragility curves, vertical ground motion effects, and Bayesian uncertainty quantification. Labs & Teams: Leads research at the Metal Structures Laboratory, collaborating on projects like METIS and PLOTO. His group develops tools for infrastructure resilience assessment and seismic safety of nonstructural components.