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Pinon Hermida VictorView profile

Researcher

• Laser-Induced Breakdown Spectroscopy (LIBS)
• Optical Engineering
• Materials Analysis
• +3 more

Dr. Pinon Hermida Victor is a Researcher at the Institute of Electronic Structure and Laser (IESL) under the Foundation for Research and Technology – Hellas (FORTH). He holds a PhD in Physics from the University of A Coruña (2011) and has conducted extensive research on Laser-Induced Breakdown Spectroscopy (LIBS), focusing on femtosecond lasers, double-pulse configurations, and applications in material analysis, archaeology, and environmental science. His career includes roles at Applied Photonics Ltd (UK) as Senior Applications Scientist (2014-2020) and postdoctoral fellowships at FORTH-IESL through the Marie Curie ATLAS program (2006-2008). Research interests span LIBS methodology development, optical fiber systems for high-power lasers, and software for spectral analysis. Notable contributions include portable LIBS instrument design and radiation-resistant optical components for nuclear facilities. Awards include the 2008 LIBS Contest and the 2011 Premio Extraordinario de Doctorado. Recent work focuses on applying LIBS to archaeological mollusc shell analysis for climate and environmental studies. He collaborates internationally on LIBS quantification challenges and instrument durability in harsh environments. Education: PhD in Physics (2011), University of A Coruña; Diploma in Physics (2001), University of Santiago de Compostela Key Roles: Senior Applications Scientist (Applied Photonics), Marie Curie Fellow (FORTH-IESL), Researcher (Laboratory of Industrial Applications of Lasers) Lab Affiliations: IESL-FORTH and University of A Coruña laser labs

Athanasios LiavasView profile

Professor

• Signal Processing for Telecommunications
• Information Theory
• Tensor Decomposition
• +3 more

Athanasios Liavas is a Professor at the Technical University of Crete in the School of Electrical and Computer Engineering , specializing in Signal Processing for Telecommunications and Information Theory . He has held administrative roles as Department Chair (2009-2011), Vice Chair (2011-2013), and Dean of the ECE School (2017-2021). Education: Diploma (1989) and PhD (1993) in Computer Engineering and Informatics from the University of Patras. Professional Background: Postdoctoral Marie Curie Fellow at INT, Evry (1996-1998); Lecturer at University of Ioannina (1999-2001); Assistant/Associate Professor at University of the Aegean (2001-2004) and Technical University of Crete (2004-present). His research focuses on Signal Processing for Telecommunications , Information Theory , and Tensor Decomposition . Recent work involves nonnegative tensor factorization , parallel algorithms , and fMRI data analysis , with applications in wireless communications and medical imaging . Articles show trends in optimization algorithms , LDPC code design , and MIMO system robustness . Scientific Awards include: Marie Curie Fellowship (1996-1998) Associate Editor, IEEE Transactions on Signal Processing (2005-2009) Elected Member, IEEE Signal Processing for Communications and Networking Technical Committee (2006-2011) He has taught courses like Telecommunications Systems II , Wireless Communications , and Information Theory , and supervised students such as Despoina Tsipouridou (PhD) and Alex Balatsoukas-Stimming (Graduate). He leads projects like Partensor (Parallel Tensor Toolbox) and COOPCOM (Cooperative Communications), and contributes to labs including the Telecommunications Laboratory .

Mikros EmmanuelView profile

Professor

• NMR Spectroscopy
• Molecular Structure Analysis
• Structure Based Drug Design
• +4 more

Mikros Emmanuel is a Professor in the Section of Pharmaceutical Chemistry at the University of Athens , affiliated with the Faculty of Pharmacy and Department of Pharmaceutical Chemistry . His academic career spans decades, with significant contributions to pharmaceutical chemistry and metabolomics. Education : Ph.D. and M.Sc. in Organic Chemistry (1988, 1984), Université PARIS XI; Diploma in Chemistry (1983), University of Athens. His research focuses on NMR spectroscopy, molecular structure analysis of biologically active compounds, structure-based drug design, and metabolomics. He has pioneered methods integrating NMR with computational tools for drug discovery and biomarker identification. Recent publications highlight his work in NMR-MS heterocovariance for drug screening, metabolomics in diagnostics, virtual screening for kinase inhibitors, and computational approaches in understanding metabolic disorders. Scientific Awards : DAAD Fellowship (Germany, 1996), Marie Curie Fellowship (European, 1994), CIES Fellowship (France, 1993), National Foundation Scholarship (ΙΚΥ Greece, 1985-88). He has taught undergraduate and graduate courses such as Inorganic Pharmaceutical Chemistry, Organic Spectroscopy, and Drug Design, while leading research initiatives in pharmaceutical chemistry and related fields.

• Spectral Analysis of Time Series
• Cointegration Methods
• Bootstrap Applications
• +3 more

Evangelos Ioannidis is an Associate Professor at the Department of Statistics, School of Informatics and Statistics, Athens University of Economics and Business. Born in 1962, he holds a Mathematics PhD from the University of Heidelberg (1993) and has served in his current department since 1999, progressing from Lecturer (1999) to Assistant Professor (2007) and Associate Professor (2023). His expertise spans spectral analysis of time series , cointegration methods , and bootstrap applications in economic data analysis, with additional focus on Official Statistics and sampling techniques . University of Heidelberg: MMath (1987), PhD (1993) Researcher, University of Heidelberg (1987-1991) Visiting Researcher, University of Orsay, Paris Sud (1992-1993) OECD, Paris (1994-1998) National Institute of Labour (1999) His scientific contributions focus on time series econometrics, VAR model spectra, and R&D expenditure analysis. Recent work includes non-parametric spectral estimation and risk-based sampling methodology. He has collaborated with Eurostat on statistical projects (2012-2014). Current affiliations include the Athens University of Economics and Business , where he teaches and conducts research on economic time series analysis and statistical methods.

Dimitris KarlisView profile

Professor

• Computational Statistics
• Mixture Models
• EM Algorithm
• +12 more

Dimitris Karlis is a Professor in the Department of Statistics at the Athens University of Economics and Business (AUEB), within the School of Information Sciences and Technology. He has been a key academic figure since earning his BSc and PhD in Statistics from AUEB in 1992 and 1999, respectively, and was promoted to Associate Professor in 2012 before advancing to full Professor. Education: BSc in Statistics, AUEB (1992) PhD in Applied Statistics, AUEB (1999) His research spans computational statistics, mixture models, EM algorithms, copulas, multivariate discrete data, and applications in sports, insurance, and seismicity. He has published extensively in top-tier statistical journals such as the Journal of the Royal Statistical Society and Statistics in Medicine . The 15 most recent publications reveal a strong focus on multivariate count data, integer-valued time series, model-based clustering using copulas, and applications in actuarial science and health. His work frequently involves mixture models, Bayesian inference, and innovative extensions of Poisson-based frameworks. Scientific Service and Recognition: Associate Editor: Metron, Communications in Statistics, IMA Journal of Management Mathematics, Stochastic Environmental Research and Risk Assessment Editor: Biometrics Bulletin of IBS Member: American Statistical Society, International Statistical Institute, International Association of Statistical Computing, Hellenic Statistical Institute Publicity Officer: Eastern Mediterranean Region, International Biometric Society Advising and Grants: He has supervised 4 completed PhDs and 18 Master’s theses, with several more in progress. He has led and participated in research projects funded by the European Union and EUROSTAT, particularly in official statistics. His advising spans methodological and applied topics in statistics. Labs and Teams: While no formal lab is named, he collaborates extensively with researchers in actuarial science, transportation, biostatistics, and environmental risk, often through joint projects and publications.

• Environmental Chemistry
• Marine Chemistry
• Trace Metal Pollution
• +3 more

Vasiliki Paraskevopoulou is a Researcher at the Laboratory of Environmental Chemistry, Department of Chemistry, National and Kapodistrian University of Athens. She works at the Zografou Campus (Greece) and has active research in marine and coastal environmental chemistry. Affiliation: National and Kapodistrian University of Athens Department: Chemistry Email: vparask@chem.uoa.gr Office: 3rd floor, Wing E, Office 4B Phone: +30-210-7274448 Her research focuses on trace metal pollution in marine ecosystems, chemical speciation analysis, and environmental monitoring of coastal zones. She has contributed to studies on heavy metal dynamics in transitional waters, sediment quality assessments, and hydrogeochemical investigations of industrial and natural contamination sources. Recent publications highlight her work on Mediterranean seafloor protection strategies (2025), mercury monitoring under EU directives (2024), metal bioaccumulation in marine species (2023), and groundwater quality assessments in river deltas (2014-2022). Her research spans environmental modeling, pollution assessment, and biogeochemical interactions in coastal systems. Awards: Teaching Personnel Award (2019-2024, 2016-2018) The Laboratory of Environmental Chemistry at the University of Athens provides analytical expertise and educational support in chemical speciation, heavy metal pollution, and marine environmental protection. She contributes to national monitoring programs and international directives like the Water Framework Directive through field surveys, modeling systems, and sediment analysis.

Christos DiouView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Healthcare Applications
• +3 more

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.

Bersimis SotiriosView profile

Associate Professor

• Statistical Process Control
• Public Health Surveillance
• Health Analytics
• +5 more

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.

Politis KonstantinosView profile

Professor

• Stochastic developments
• Risk and bankruptcy theory
• Actuarial mathematics
• +3 more

Professor Konstantinos Politis is a distinguished academic in the Department of Statistics and Actuarial Science at the University of Piraeus, where he has served since 2004, progressing from Assistant Professor to his current position as Professor (2025-present). His academic career spans prestigious institutions including the University of Manchester, University of Southampton, and the University of Cambridge where he earned his PhD. Education: B.A. in Mathematics, University of Athens (1989) MSc in Statistics, University of Sheffield, UK (1991) PhD in Statistics, University of Cambridge, UK (1997) Professor Politis specializes in stochastic processes with particular focus on ruin theory, risk analysis, and actuarial mathematics. His research examines complex probability models related to insurance risk, surplus processes, renewal theory, and failure rate analysis. He has made significant contributions to understanding the mathematical properties of insurance risk models, particularly in the Sparre Andersen framework and compound Poisson processes. His work bridges theoretical probability with practical applications in actuarial science and financial risk management. His extensive publication record demonstrates consistent contributions to leading journals in probability and actuarial science. The research trajectory shows evolution from foundational work on ruin theory and risk models toward more sophisticated analyses of renewal processes, failure rate functions, and stochastic bounds. His recent work focuses on precise mathematical characterizations of recurrence times, convolution properties, and monotonicity in stochastic systems. Professor Politis has co-authored significant textbooks including Introduction to Probability: Models and Applications (2019) and Introduction to Probability: Multivariate Models and Applications (2021) with Balakrishnan and Koutras, as well as his Greek-language work Introduction to the Theory of Collective Risk (2012, 2nd ed. 2016). In teaching, Professor Politis has contributed to both undergraduate and graduate education, offering courses including Probability I, Special Topics in Probability, Variance Analysis, Loss Distributions, Generalized Linear Models, and Risk Theory II. His academic journey reflects a deep commitment to advancing statistical theory while maintaining practical relevance to actuarial science and risk management.

Sergios DimitriadisView profile

Professor

• Digital Marketing
• Consumer Behavior
• Brand Management
• +3 more

Sergios Dimitriadis serves as Professor in the Department of Marketing and Communication at Athens University of Economics and Business (AUEB), where he has taught since 2000 following ten years of academic and consulting experience in France. His instructional portfolio includes Digital and Omni-channel Marketing, Customer Experience Management, and Digital Content courses. His educational credentials feature a foundational degree from Athens University of Economics and Business and a doctoral degree from France's University of Aix-Marseille. Professor Dimitriadis specializes in digital consumer behavior with emphases on social media brand dynamics, 3D virtual retail environments, and relational value frameworks. His research investigates how technological interfaces shape consumer-brand interactions, particularly examining perceived value constructs in Facebook ecosystems and spatial navigation in immersive online stores. Analysis of his 15 most recent publications reveals consistent focus on relational benefit-cost dynamics across digital contexts, with methodological strengths in experimental design and multivariate analysis. Key thematic trajectories include green brand relationship metrics (2018-2019), social media brand page typologies (2018), and trust-based segmentation in financial technology (2011). No scientific awards were documented in source materials. As scientific director of AUEB's Center for Training and Lifelong Learning educational programs, he bridges academic and professional spheres through European/national research program consultancy and organizational training initiatives, demonstrating commitment to applied knowledge transfer despite absence of specific grant details.

Georgios KargasView profile

Professor

• Soil Physics
• Irrigation Engineering
• Hydrodynamics of Porous Media
• +4 more

Georgios Kargas serves as a Professor in the Department of Water Resources Management within the School of Environment and Agricultural Engineering at the Agricultural University of Athens (AUA). His academic profile centers on advanced irrigation engineering, soil physics, and hydrodynamics of porous media, with particular expertise in drainage system design, soil salinity assessment, and sensor-based soil moisture monitoring. His research interests focus on hydrodynamic characteristics of porous media , precision irrigation systems , and soil-water-electrical conductivity relationships . Current work emphasizes developing novel infiltration equations for furrow irrigation, validating low-cost sensor platforms for soil monitoring, and creating EU-wide soil salinity mapping frameworks using machine learning. His experimental approach bridges laboratory measurements with field applications, particularly in Mediterranean agricultural contexts. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in sensor technology validation (TEROS/WET sensors), advanced infiltration modeling consistent with Philip theory, and large-scale soil salinity mapping using EU databases. Key subfields include subsurface drainage equation development, LoRa-based monitoring systems, and electrical conductivity compensation methods for dielectric sensors. Professional contributions include editorial review work for Sensors (2021), Water (2016), and Sustainability (2017) journals, though no specific scientific awards are documented in available sources. Teaching responsibilities encompass core undergraduate and postgraduate courses including Hydrodynamic Characteristics of Porous Media , Special Topics in Soil Physics , and Irrigation-Drainage Systems Design , with consistent focus on Water Resources Management specialization. His instructional approach integrates theoretical principles with practical system design applications across 8th-9th semester curricula.

Bagkavos DimitriosView profile

Associate Professor

• Mathematical Statistics
• Survival Analysis
• Probability Theory Applications
• +7 more

Bagkavos Dimitrios is an Associate Professor in the Department of Mathematics at the School of Science, University of Ioannina. His research focuses on Mathematical Statistics, Survival Analysis, and Probability Theory Applications, with expertise in nonparametric estimation, statistical inference, and kernel methods. He holds a B.Sc. in Mathematics from the University of Ioannina and an M.Sc. in Mathematics (Statistics) from the University of Birmingham, UK. His work emphasizes hypothesis testing, computational statistics, and applications of martingales and Edgeworth expansions. He has developed R packages such as NPHazardRate and asymmetry.measures , and his research has been published in top journals like Journal of Multivariate Analysis and Computational Statistics and Data Analysis . He actively contributes to the academic community by refereeing for journals including Test , Journal of Statistical Planning and Inference , and Communications in Statistics .

Angelos AlexopoulosView profile

Assistant Professor

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +4 more

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

• Survival Analysis
• Meta-analysis of Survival Data
• Experimental Designs
• +3 more

Emmanouil Androulakis is an Assistant Professor at the Department of Statistics and Insurance Science, University of Piraeus. His research focuses on Survival Analysis, Meta-analysis of Survival Data, Experimental Designs, and Biostatistics. He holds a Ph.D. in Statistics from the National Technical University of Athens (2015) and has extensive teaching experience across multiple institutions, including the Hellenic Naval Academy and the University of West Attica. Education: Ph.D. in Statistics, National Technical University of Athens (2015) M.Sc. in Applied Mathematical Sciences, National Technical University of Athens (2009) Diploma in Applied Mathematical and Physical Sciences, National Technical University of Athens (2007) Research Interests: Emmanouil specializes in advanced statistical methodologies for healthcare and environmental applications, including meta-analysis, frailty models, and experimental design optimization. His work bridges theoretical statistics with practical challenges in biostatistics, geriatric care, and renewable energy forecasting. Publications: His 30+ articles span biostatistical methodologies, healthcare outcomes research, and environmental modeling. Recent work emphasizes meta-analysis heterogeneity and frailty modeling in longitudinal studies. Awards: While no named awards are listed, his peer-reviewed contributions and 240+ citations highlight his academic impact. He serves as a reviewer for 14 journals. Teaching & Advising: He teaches Probability and Statistics courses, including Biostatistics and Statistical Packages. No formal advisee list is provided, but his roles as a scientific associate and instructor suggest active academic mentoring.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +4 more

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.