جست‌وجوی استاد و پژوهشگر

Efstratiadis Andreasمشاهده پروفایل

استادیار

• Water Resources Engineering
• Hydropower Systems
• Flood Risk Management
• +۳ مورد دیگر

Efstratiadis Andreas serves as an Assistant Professor in the Department of Water Resources and Environmental Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), based at the Laboratory of Hydrology and Water Resources Development. His research spans water resources systems, hydropower infrastructure, and the water-energy nexus, with emphasis on stochastic modeling and uncertainty quantification. His primary research interests include stochastic hydrology, flood risk assessment, multipurpose reservoir optimization, and renewable energy integration. He investigates cascading infrastructure failures, spatial reliability in solar PV systems, and climate-energy market uncertainties, often employing advanced simulation-optimization frameworks to address complex water-energy challenges under environmental variability. Recent publications (2023–2025) reveal a strong focus on hydropower dam safety, flood control infrastructure design, and the operational trade-offs in multipurpose reservoirs. His work increasingly integrates Earth Observation data for hydrologic modeling and examines socio-technical dimensions of the water-energy nexus, reflecting a shift toward interdisciplinary systems analysis. Dr. Efstratiadis contributes to NTUA's Laboratory of Hydrology and Water Resources Development, which develops decision support systems like Hydronomeas 2020 and national monitoring infrastructure (OpenHi.net) for Greek surface waters. His lab emphasizes computational tools for water resources management under climate uncertainty.

Sriram Krishnamoorthyمشاهده پروفایل

استاد پژوهشی

• Parallel Programming Models
• Fault Tolerance
• High-Performance Computing
• +۶ مورد دیگر

Sriram Krishnamoorthy is a Research Professor at Washington State University's School of Electrical Engineering & Computer Science and a research scientist at Pacific Northwest National Laboratory (PNNL), where he serves as the System Software and Applications Team Leader in PNNL's High Performance Computing group. Dr. Krishnamoorthy earned his B.E. from the College of Engineering, Guindy in Chennai, India, and his M.S. and Ph.D. degrees from The Ohio State University. He is a senior member of the Institute of Electrical and Electronics Engineers. His research focuses on parallel programming models, fault tolerance, and compile-time/runtime optimizations for high-performance computing. He has made significant contributions in areas including: Fault tolerance techniques that minimize rollback during failures Dynamic load balancing for irregular parallel applications Compiler and runtime optimizations for HPC applications GPU programming and heterogeneous computing Quantum chemistry simulations and quantum computing Dr. Krishnamoorthy's publications span computational science, high-performance computing, and quantum chemistry. His recent work shows strong trends toward quantum computing applications, fault tolerance in large-scale systems, and optimization of computational chemistry methods. He has developed techniques for density matrix quantum circuit simulation, floating-point error analysis, and scalable execution of coupled-cluster models. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at International Conference on High Performance Computing (HiPC'03) Best Paper Award at International Parallel and Distributed Processing Symposium (IPDPS'04) U.S. Department of Energy Early Career award (2013) PNNL's Ronald L. Brodzinski Award for Early Career Exceptional Achievement (2013) The Ohio State University's Outstanding Researcher award (2008) Dr. Krishnamoorthy has advised numerous graduate students and collaborated extensively with researchers across computational science domains. His work on the NWChem project demonstrates significant grant funding and large-scale collaborative research efforts in computational chemistry. He leads research efforts in PNNL's High Performance Computing group, focusing on system software and applications development for next-generation supercomputing platforms.

VASDEKIS VASILEIOSمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Latent Variable Models
• Composite Likelihood Methods
• +۷ مورد دیگر

VASDEKIS VASILEIOS is a Professor of Statistics at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), where he has been a faculty member since 1999. He previously served as Assistant Professor (2003–2009), Associate Professor (2009–2016), and Lecturer (1999–2003). He held administrative roles including Head of Department (2016–2020) and Vice-Chancellor for Academic Affairs and Personnel (2020–2024). Education: D.Phil. in Statistics, University of Oxford, UK (1989–1993) M.Sc. in Applied Statistics, University of Oxford, UK (1988–1989) B.A. in Mathematics, University of Athens, Greece (1983–1988) His research focuses on longitudinal data analysis , latent variable models , and composite likelihood methods , with applications in clinical trials, psychology, and public health. He has developed statistical methodologies for correlated binary data, multivariate ordinal responses, and random effects models. His work bridges theoretical statistics with practical applications in medicine and social sciences. The recent publications show a strong trend in psychometrics , model diagnostics , and longitudinal modeling , particularly using composite likelihood and goodness-of-fit techniques. His interdisciplinary collaborations extend to developmental psychology and nutrition studies. Scientific Awards: Fellow of the Royal Statistical Society (UK) IKY Scholarship for Doctoral Research (1989–1993) He has supervised multiple doctoral students, including Evgenia Tzompanaki, Antonia Korre, and Ioanna Athanassopoulou, and postgraduate researcher Kostas Florios. He has secured research funding through projects such as PYTHAGORAS, ARISTEIA II, and internal AUEB grants. His professional service includes teaching workshops on SPSS and statistical methods for health professionals, often in collaboration with pharmaceutical companies like JANSSEN-CILAG. He is an active member of professional societies, including the Royal Statistical Society, the American Mathematical Society, and the Bernoulli Society. He has contributed to European research networks such as DAFNE, focusing on food consumption data analysis.

Anastasios Gounarisمشاهده پروفایل

استاد

• Distributed Databases
• Autonomous data processing
• Big Data Management
• +۷ مورد دیگر

Anastasios Gounaris is a Professor at the Department of Informatics, Aristotle University of Thessaloniki, where he has been a faculty member since April 2008. He previously served as a Visiting Lecturer at the University of Cyprus (2007-2008) and held research positions at the University of Manchester and CERTH. His academic journey includes a PhD from the University of Manchester (2005), an MPhil from UMIST (2002), and a degree in Electrical and Computer Engineering from Aristotle University of Thessaloniki (1999). His research spans Distributed Databases, Autonomous Data Processing, Big Data Management, Workflow Optimization, and Data Mining . He has made significant contributions to large-scale data management systems, massive parallelism techniques, and business process analytics. His work bridges theoretical computer science with practical industrial applications, particularly in predictive maintenance and edge computing environments. His recent publications (2024-2025) demonstrate a strong focus on process mining, anomaly detection, predictive maintenance systems, and edge analytics . These works address critical challenges in handling evolving data streams, optimizing task allocation in resource-constrained environments, and developing parameter-free algorithms for real-world applications. His research shows consistent progression from foundational database systems work to cutting-edge applications in industrial IoT and healthcare analytics. Dr. Gounaris has successfully supervised numerous PhD students to completion, including Athanasios Naskos (2017), Georgia Kougka (2017), Christos Bellas (2022), Theodoros Toliopoulos (2022), Anna-Valentini Michailidou (2023), Ioannis Mavroudopoulos (2024), and Konstantinos Varvoutas (2025). His research has been supported by multiple national and European projects including DataflowOpt, PRECognition, NavGreen, CUREX, Rainbow, Lifechamps, and Trineflex. He is an active member of Datalab (formerly Delab) and has contributed to industry applications through collaborations with companies such as Comidor, Gnomon, Istognosis, Atlantis, AFS, Follow-Apps, Sboing, and Upcom. His work demonstrates a strong commitment to transferring research results to real-world applications while maintaining academic rigor.

Papadopoulos Apostolosمشاهده پروفایل

دانشیار

• Databases
• Data Mining
• Spatial Databases
• +۷ مورد دیگر

Apostolos Papadopoulos is an Associate Professor at the Department of Informatics , Aristotle University of Thessaloniki , Greece. His research focuses on databases, data mining, and big data analytics. Born in Eleftheroupolis, Greece Diploma in Computer Engineering and Informatics (University of Patras) PhD in Informatics (Aristotle University of Thessaloniki) Research Interests: Spanning DATABASES and DATA MINING , his work includes: Efficient query processing in multidimensional and spatio-temporal databases Graph mining algorithms (dense subgraphs, frequent patterns, probabilistic graphs) Parallel/distributed systems (Spark, Hadoop) for massive datasets Real-time data stream analysis Scientific Recognition: Best Paper at EDBT 2014 (selected for ACM Transactions on Database Systems) Best Knowledge Discovery Paper at ECML/PKDD 2008 Google Scholar h-index: 25 PhD Supervision: Mentoring 4 ongoing PhD students and one graduated candidate (Eleftherios Tiakas).

• Data Mining
• Machine Learning
• Graph Mining
• +۹ مورد دیگر

Michalis Vazirgiannis is a Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB), specializing in data mining and machine learning with applications in web and social network analysis. His work bridges theoretical algorithms and real-world scalability challenges. Education: Bachelor Degree in Informatics, National and Kapodistrian University of Athens, 1986 Master (M.Sc.) in Robotics, National and Kapodistrian University of Athens, 1988 Master (M.Sc.) in Knowledge Based Systems, Heriot Watt University, Edinburgh, 1989 Ph.D. in Informatics, National and Kapodistrian University of Athens, 1994 Research Focus: Professor Vazirgiannis pioneers clustering algorithms with subjective/objective validation, distributed feature selection for evolving graphs, and temporal link analysis for dynamic page ranking. His research addresses critical gaps in semi-supervised learning for large-scale web and social networks, emphasizing dimensionality reduction and ranking predictability in temporal contexts. Publication Trends: His 2007-dominated publications reveal a strategic shift toward graph-based web mining, with recurring themes of distributed processing (P2P similarity search), clustering validity frameworks, and semantic web personalization. The work consistently targets scalability bottlenecks in real-world network data. Scientific Recognition: ERCIM Post-doctoral Scholarship (2001) Marie Curie European Scholarship (2006) Leadership & Collaboration: As ERASMUS coordinator for AUEB's Informatics Department and editorial board member of Intelligent Data Analysis journal, he bridges academia and industry. His EU project leadership (FP6 SQO-OSS, Marie Curie NGWeMiS) and program committee roles (IEEE/ICDM 2008, ECML/PKDD 2008) highlight his influence in data mining standardization. International collaborations span INRIA, Fraunhofer, Max Planck, and IBM Research. Technical Innovation: His patent contributions and invited lectures at ECML/PKDD 2006/SIAM/SDM 2006 demonstrate applied impact, particularly in web personalization engines (SEWeP) and evolving graph analytics.

Panagiotis Stamatopoulosمشاهده پروفایل

استادیار

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +۹ مورد دیگر

Panagiotis Stamatopoulos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been employed since 1993. He holds a PhD in Computer Science (1988) and a Diploma in Physics (1982) from the University of Athens. His research spans artificial intelligence, constraint programming, natural language processing, machine learning, and optimization. Specific interests include: Hybrid approaches combining constraint programming with operations research Natural language understanding for database access Parallel processing and distributed constraint solving Multi-agent systems and web intelligence applications His publications show consistent focus on constraint satisfaction algorithms, text summarization techniques, educational timetabling systems, and AI applications in diverse domains like sports analytics and robotics. Recent works demonstrate increased attention to NLP evaluation metrics and multimodal learning. He has supervised numerous diploma theses and led projects funded by the European Union (EDS, APPLAUSE, PARACHUTE, PARROT), University of Athens, and Olympic Airways. Stamatopoulos teaches undergraduate courses in Introduction to Programming and Logic Programming, plus postgraduate courses in Advanced Artificial Intelligence. He previously taught Artificial Intelligence, System Programming, and Expert Systems.

Mathioudakis Konstantinosمشاهده پروفایل

استاد

• Gas Turbine Engineering
• Turbomachinery Diagnostics
• Fluid Dynamics
• +۷ مورد دیگر

Professor Mathioudakis Konstantinos holds a prestigious position at the School of Mechanical Engineering, National Technical University of Athens (NTUA), leading the Laboratory of Thermal Turbomachines. His academic journey includes a Doctorate in Applied Sciences from the Catholic University of Leuven (Belgium) with highest distinction, alongside advanced studies from the Von Karman Institute and NTUA. He has over 35 years of professional experience in academia and industry, including roles as Secretary General for Energy (2009–2015) and professorships since 1990. His research focuses on gas turbine performance optimization, turbomachinery diagnostics, and energy systems, with notable contributions to fault detection algorithms, combustion chamber modeling, and alternative fuels. Key areas include aero-engine preliminary design, marine propulsion systems, and solar hybrid technologies. He has authored over 150 peer-reviewed papers and received multiple awards, including best paper honors from ASME and ImechE. Education: PhD in Applied Sciences (1985), Catholic University of Leuven Fluid Dynamics Diploma (1981), Von Karman Institute Mechanical Engineering (1980), NTUA Awards: ASME Best Paper Awards (2012, 2004, 2003, 2002) PE Publishing Award (2004) Outstanding Service Award (ASME, 2002) Professor Mathioudakis has pioneered diagnostic methodologies combining probabilistic reasoning and neural networks, enhancing fault localization accuracy. His work on transient modeling and steady-state diagnostics improves engine operability and maintenance strategies. He actively contributes to international committees, including leadership roles in ASME’s Controls and Diagnostics Committee. Current duties include coordinating Erasmus programs and advising on propulsion systems for next-generation aircraft. His lab develops tools for turbine disk design, contra-rotating propeller modeling, and solar hybrid gas turbines, bridging academic research with industrial applications.

Apostolos Burnetasمشاهده پروفایل

استاد

• Operations Research
• Adaptive Optimization
• Stochastic Modeling
• +۷ مورد دیگر

Apostolos Burnetas is a Professor of Stochastic Operations Research in the Department of Mathematics at the National and Kapodistrian University of Athens (UOA). He holds a Diploma in Electrical Engineering from the National Technical University of Athens (1986), an MBA (1992), and a Ph.D. in Operations Research (1993) from Rutgers University’s Graduate School of Management. Prior to his current position, he served as an Assistant and Associate Professor at Case Western Reserve University (1994–2004). At UOA, he has held roles as Associate Professor (2003–2012) and full Professor (2012–present). He has also served as Vice-Director and Director of the UOA-Ioannina University joint Biostatistics graduate program (2008–2014). His research focuses on Operations Research, Adaptive Optimization, Stochastic Modeling, and their applications in production/service systems. Notable areas include strategic customer behavior in queueing systems, dynamic pricing, inventory management, and supply chain coordination. He has authored over 60 peer-reviewed articles in journals like Management Science and Operations Research , and organized international conferences in stochastic modeling. His teaching spans Operations Research, Probability, and Stochastic Processes, with graduate courses in Linear Models and Queueing Theory. Burnetas has supervised over 30 master’s theses at UOA and 9 doctoral theses (7 at Case Western Reserve, 2 at UOA). His work emphasizes practical applications, such as optimizing service systems and addressing information asymmetries in supply chains.

Nikolopoulos Georgiosمشاهده پروفایل

پژوهشگر

• Quantum Communication
• Quantum Cryptography
• Quantum Information Processing
• +۳ مورد دیگر

Dr. Nikolopoulos Georgios is a Principal Researcher at the Institute of Electronic Structure & Laser (IESL/FORTH) since 2014. He holds a PhD in Physics from the University of Crete (2001), an MSc in Microelectronics-Optoelectronics (University of Crete), and a Physics Diploma from the University of Patras (1996). His career includes roles as a Research Associate at TU Darmstadt (2003-2006) and a Max-Planck Research Fellow (1997-1999). His research focuses on quantum communication, quantum cryptography, and quantum optics, with contributions to topics such as quantum key distribution, boson sampling, and physical unclonable functions. He has participated in major projects like the SECOQC quantum cryptography initiative and the SFB CROSSING security framework as a Mercator Fellow (2019, 2022). Key research interests include quantum security protocols, cryptographic algorithms leveraging quantum phenomena, and the theoretical foundations of quantum information processing. His work bridges quantum theory and practical applications in secure communication systems. Notable awards include the Mercator Fellowship for contributions to cryptography-based security solutions. His publications span quantum authentication, state transfer in spin chains, and optical network design, reflecting his interdisciplinary approach to advancing quantum technologies.

Aristidis Likasمشاهده پروفایل

استاد

• Neural Networks
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Dr. Aristidis Likas is a Professor at the Department of Computer Science and Engineering, University of Ioannina, Greece. His research spans neural networks, machine learning, data mining, and intelligent systems with applications in medicine and biology. He has contributed to image processing, video analysis, and scientific computing, with a focus on algorithm innovation and biomedical applications. His work has been published in journals such as IEEE Transactions on Neural Networks , Pattern Recognition , and Bioinformatics . He has also served as Associate Editor for IEEE Transactions on Neural Networks (2008-2012) and co-chaired conferences including ECML/PKDD 2011 and SETN 2014. Key projects include VIDEOSUM: Video Summarization PRotEin S-Sulfenylation Server (PRESS) Global k-means algorithm Dip-means clustering

Georgia Koloniariمشاهده پروفایل

دانشیار

• Social Networks
• Graph Databases
• Distributed Systems
• +۴ مورد دیگر

Georgia Koloniari is an Associate Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia. She holds a PhD in Computer Science from the University of Ioannina (2009), along with an MSc (2003) and BSc (2001) in Computer Science from the same institution. Her research focuses on distributed systems, graph databases, and peer-to-peer (P2P) systems, with notable contributions to social network analysis, XML data management, and privacy-preserving techniques. She has led or participated in multiple funded research projects, including the Cloud9 project (2011–2014) and the Self-Peer initiative (2005–2008). Her teaching roles include instructing courses such as Distributed Systems , Data Structures , and Advanced Information Systems at the undergraduate level, and IT Infrastructure and Databases at the graduate level. She has also contributed to online educational initiatives, including the development of the Data Structures course in the Open Digital Courses project. Dr. Koloniari’s research interests span social network evolution, graph database management, and distributed data processing. She has published extensively on topics like clustered overlay networks, privacy-preserving record linkage, and temporal query processing. Her work integrates game-theoretic approaches and algorithmic solutions to address challenges in P2P systems and cloud computing. Her recent publications highlight advancements in privacy-preserving techniques (e.g., PRIVATEER toolkit) and time-aware social search systems. She remains active in academic service, serving on program committees for conferences like WWW and EDBT, and reviewing for journals such as IEEE Transactions on Parallel and Distributed Systems. Labs/Teams: Her involvement with the DMOD Lab (Digital Media, Data Management, and Distributed Systems Lab) reflects her focus on interdisciplinary research in data management and distributed computing.

• Real-time computer resource management systems
• Heterogeneous memory systems
• Programming models for heterogeneous computing systems
• +۲ مورد دیگر

Lazaros Papadopoulos serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace since May 2024, focusing on computational resource management for embedded and high-performance systems. His work bridges hardware-software co-design with energy-efficient computing paradigms. His academic credentials include: Bachelor's in Electrical and Computer Engineering from Democritus University of Thrace (2005) Master's degree from the same institution (2008) PhD from the National Technical University of Athens (2016) Research centers on optimizing computing infrastructure through real-time resource management, heterogeneous memory architectures, and AI workload acceleration. His investigations target energy-performance tradeoffs in GPU systems, persistent memory integration, and edge-device neural network deployment, with direct applications in sustainable computing and high-performance data processing. Publication analysis (2018-2022) reveals consistent focus on heterogeneous system optimization, particularly energy-aware GPU acceleration frameworks, memory management for DRAM/NVM hybrids, and efficient CNN implementations for edge devices. Key thematic threads include sustainable computing practices, hardware-aware AI deployment, and memory hierarchy innovations. Scientific recognition includes: Two Best Paper Awards Research leadership spans major EU initiatives: Work Package Coordinator for LAGO (Horizon Europe, 2022-2024) and PRAETORIAN (H2020, 2022-2024); Technical Coordinator for EXA2PRO (H2020, 2018-2021); and Work Package Coordinator roles in SDK4ED (H2020, 2018-2020) and EXCESS (H2020, 2013-2016). These projects address embedded systems security, exascale programming models, and energy-efficient computing toolchains. He operates within the Computer Architecture and High Performance Systems laboratory, directing research on computational resource orchestration for next-generation heterogeneous platforms.

• Bayesian Inference
• Financial Econometrics
• Time Series Modelling
• +۴ مورد دیگر

Ioannis Vrontos is an Associate Professor at the Department of Statistics, Athens University of Economics and Business (AUEB). He holds a B.Sc., M.Sc., and Ph.D. in Statistics all from AUEB (1995, 1997, 2001 respectively). His research focuses on Bayesian methods, financial econometrics, and time series analysis, with applications in asset pricing, volatility modeling, and risk management. He has published extensively in top journals like the Journal of Empirical Finance and Journal of Computational and Graphical Statistics. Education: B.Sc. in Statistics, AUEB (1995) M.Sc. in Statistics, AUEB (1997) Ph.D. in Statistics, AUEB (2001) Research Interests: Bayesian inference, hidden Markov models, financial econometrics, optimal portfolio allocation, and hedge fund analysis. His work integrates advanced statistical techniques with financial market applications. Publications reflect expertise in econometric modeling, particularly in handling model uncertainty and structural breaks. Recent work includes pandemic economic impact analysis and machine learning applications in financial forecasting. Professional Affiliations: Member of the International Society for Bayesian Analysis, Institute of Mathematical Statistics, and Greek Statistical Institute. Lab/Team Involvement: Active in AUEB's statistical research groups, contributing to interdisciplinary projects in finance and economics.

• Information Systems Security
• Communication Systems Security
• Estimation Theory Applications
• +۳ مورد دیگر

Sokratis Katsikas is a Professor at the Department of Digital Systems, University of Piraeus, Greece. He also serves as General Secretary for Communications at the Greek Ministry of Infrastructures, Transport and Networks, and contributes to European academic evaluation committees. His career includes leadership roles such as Rector (2003-2006) and Vice-Rector (1997-2003) of the University of the Aegean, and board memberships in national regulatory bodies like the Hellenic Quality Assurance Agency and the Hellenic Authority for Communications Privacy. Dr. Katsikas holds a Ph.D. in Computer Engineering from the University of Patras (1987), an M.Sc. from the University of Massachusetts (1984), and a Diploma in Electrical Engineering from the University of Patras (1982). His research focuses on information and communication systems security , with emphasis on intrusion detection systems (IDS), cybersecurity in smart grids, privacy in social networks, and estimation theory applications. Notable contributions include frameworks for reducing IDS false positives, game-theoretic approaches to insider threat detection, and privacy compliance methodologies aligned with ISO standards. He has authored/co-authored over 150 publications, 24 books, and serves on editorial boards of leading journals. Recent work explores log management infrastructures, data breach mitigation in social networks, and secure electronic medical records. Awards and recognitions are not explicitly listed in the provided text, but his extensive editorial and advisory roles highlight professional esteem. His research spans both theoretical advancements and practical implementations in critical infrastructure protection.