جست‌وجوی استاد و پژوهشگر

Katsafados Petrosمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Climate Change
• Renewable Energy Sources
• +۷ مورد دیگر

Katsafados Petros is a Professor and Department Chair at the Department of Geography , Harokopio University , Athens. His academic journey began with a Mathematics degree from National and Kapodistrian University of Athens (1993), followed by a Master's in Environmental Physics (1996), and a PhD in Meteorology and Environmental Physics (2003). He leads undergraduate programs in Meteorology, Climate Change, and Environmental Risk Management, while directing research in atmospheric dynamics, climate modeling, and natural disaster prediction. National and Kapodistrian University of Athens: BSc Mathematics (1993), MSc Environmental Physics (1996), PhD Meteorology & Environmental Physics (2003) Research interests span multiple interconnected domains: Atmospheric Dynamics : Regional and mesoscale simulations, meteorological data assimilation, atmosphere-ocean-land interactions Climate Science : Climate change impacts, extreme weather events, seasonal predictability Applied Geoinformatics : Modeling natural disasters, risk assessment, renewable energy applications Environmental Hazards : Air pollution analysis, dust transport, hydrometeorological disasters Marine Meteorology : Tropical-like cyclones, sea-state feedback mechanisms, ocean-atmosphere coupling Recent publications demonstrate a focus on integrating geospatial tools with climate modeling to address environmental challenges. Key trends include: Advancing data assimilation techniques using satellite observations Investigating dust transport and mineralogy impacts on climate Developing coupled atmosphere-ocean-wave models Urban climate resilience strategies like green roofs Hydrological impacts of climate change and extreme events Improving numerical weather prediction accuracy Scientific contributions include developing innovative geoinformation tools and leading interdisciplinary research projects. He serves on program committees for postgraduate programs in Applied Geoinformatics and Climate Crisis Risk Management, demonstrating leadership in academic governance and education.

• Delay and Interruption Tolerant Networks (DTN)
• Information-Centric Networking
• Space Internetworking
• +۵ مورد دیگر

Professor Vasilios Tsaousidis is affiliated with the Department of Electrical and Computer Engineering at Democritus University of Thrace since 2003. He was elected Professor in 2007 and has held visiting positions at MIT (2009) and Technical University of Berlin (2005). His work is conducted within the Programming and Information Processing Laboratory and focuses on DTN , Information-Centric Networking , and Space Internetworking . Education : Applied Mathematics (Aristotle University, Greece), Computer Science PhD (Humboldt University, Berlin) Postdoctoral Experience : Rutgers University, SUNY Stony Brook, Northeastern University His research spans transport/network layers with emphasis on energy-efficient and delay-tolerant protocols. Key areas include congestion control , QoS mechanisms , and reliable data dissemination in challenged environments. His publications from 2023-2025 focus on Kubernetes networking , edge cloud , and blockchain-integrated trust systems , demonstrating adaptability to emerging paradigms like IoT and space networking . Current projects like UMOBILE and SENSKIN explore mobile-centric architectures and structural health monitoring systems. Earlier work with SPICE (2010-2014) pioneered space internetworking protocols for Mars data transmission and space weather applications .

• Network and telecommunications economics
• Broadband network service charging models
• Regulatory policy and auction design
• +۷ مورد دیگر

Professor Kourkoubetis Konstantinos is a faculty member at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, following his Master's degree from the same institution and undergraduate degree from the National Technical University of Athens. His research focuses on network economics and telecommunications, with particular expertise in peer-to-peer systems, network pricing models, and high-speed network technologies. His work bridges theoretical computer science with practical telecommunications applications, developing mathematical models for network resource allocation and economic incentives. His publication record demonstrates consistent contributions to top networking conferences and journals, with a notable book Pricing Communication Networks: Economics, Technology and Modeling (Wiley, 2003) serving as a key reference in the field. His research shows a clear progression from theoretical network models to practical economic applications in telecommunications infrastructure. Professor Kourkoubetis has led significant research projects including MMAPS (Economic models for peer-to-peer systems) and M3I (Internet billing systems), and has contributed to major initiatives like the EuroNGI Network of Excellence. His work with the Energy Regulatory Authority on power import rights auctions demonstrates real-world impact of his theoretical research. Scientific Director of Communications and Networks Center, University of Crete (1996-2000) Head of Telecommunications and Networks Department, Institute of Informatics, FORTH (1990-1999) Head of Laboratory of Economics and Systems Theory, AUEB (2000-present) Member of National Research Council (2002-2003) Board Member of Information Society SA (2003-2004) His leadership extends to program committees for major conferences including INFOCOM and ICQT, reflecting his standing in the international networking research community. His dual expertise in theoretical computer science and economic modeling has positioned him as a key contributor to the development of economic frameworks for modern network infrastructure.

George Tsinarakisمشاهده پروفایل

مدرس

• Production Systems
• Petri Nets
• Hybrid Systems
• +۵ مورد دیگر

George Tsinarakis is a Lecturer at the School of Production Engineering and Management, Technical University of Crete. He holds a Diploma (2000), MSc (2002), and PhD (2007) from the same institution. His roles include teaching undergraduate courses (Simulation, Production Systems), co-supervising theses, and participating in research projects. He also serves as Adjunct Professor at Hellenic Open University (Engineering Project Management postgraduate program) and teaches Operations and Production Management at University of the Aegean. His research focuses on Production Systems, Petri Nets, Hybrid Systems, Renewable Energy, and Project Management. Education: Diploma in Production Engineering and Management (2000) MSc (2002) PhD (2007) Research emphasizes Petri Nets for process modeling, Hybrid Systems integration, and Renewable Energy applications. He contributes to digital twin frameworks for industrial systems and STEM education tools like HYDRA. His work spans simulation methodologies, supervisory control, and lifecycle analysis of energy systems. Teaching and advising includes undergraduate thesis co-supervision and involvement in European/Greek research projects. He evaluates EYDE-ETAK initiatives and reviews for international conferences/journals. Active in labs: Production Systems Laboratory and Computer Aided Manufacturing Laboratory.

Nikos Spanoudakisمشاهده پروفایل

استادیار

• Multi-Agent Systems
• Artificial Intelligence
• Agent-Oriented Software Engineering
• +۱۱ مورد دیگر

Nikos Spanoudakis is an Assistant Professor at the Department of Electronic Engineering of Hellenic Mediterranean University , with concurrent research collaboration at Technical University of Crete . He holds a PhD in Computer Science (Artificial Intelligence) from Paris Descartes University (2009, "Très Honorable"), an MSc in Organization and Administration from Technical University of Crete, and a Diploma in Computer Engineering and Informatics from University of Patras. Research Focus: Multi-Agent Systems (AOSE, Computational Argumentation), Model-Driven Engineering , Smart Buildings , IoT , and Artificial Intelligence Applications in Ambient Intelligence, Finance, and Education Key Contributions: Created ASEME Methodology and AMOLA Language for agent modeling, developed Gorgias-B argumentation framework, and designed Kouretes Statechart Editor for robotic behavior specification His recent publications reveal a strong trend in Explainable AI (2023: Explainable Argumentation as a Service ), Smart Energy Systems (2025: Engineering IoT-Based Open MAS for Large-Scale V2G/G2V ), and EdTech Innovations (2024: Role Assignment in Programming Courses ). He has received prestigious ACM Senior Member (2023) and IEEE Senior Member (2012) distinctions, along with teaching recognition (2021) from Technical University of Crete. Academic Leadership: Serves as Editor for Springer Nature's Computer Science journal and has reviewed for 15+ top-tier publications including IEEE Intelligent Systems and Journal of Web Semantics Conference Involvement: Program Committee Member for 20+ international conferences (IJCAI, ECAI, AAMAS, AAAI) and organizer of multiple European Agent Systems Summer Schools

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۴ مورد دیگر

Michail G. Lagoudakis is a Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), Greece. He leads the Intelligent Systems Laboratory (InteLLigence), focusing on machine learning, robotics, and decision-making under uncertainty. His academic journey includes a Ph.D. from Duke University (2003) and prior roles at Georgia Tech and AT&T Labs. Education: Ph.D. in Computer Science, Duke University, 2003 M.Sc. in Computer Science, University of Louisiana, 1998 Diploma in Computer Engineering and Informatics, University of Patras, 1995 Research Interests: His work spans reinforcement learning, multi-agent systems, robotics (team coordination, probabilistic methods), and complex systems. Notable projects include the EURECA-PRO university network, RoboCup Kouretes team, and algorithmic advancements like LSPI. Teaching: Courses include Artificial Intelligence, Machine Learning, and Robotics. His teaching philosophy emphasizes hands-on learning with tools like ROS and NAO robots. Projects & Collaborations: Current projects include aerial-ground robot collaboration, dialogue management systems, and solar energy optimization. Earlier work includes auction-based coordination and DPLL solver enhancements (RLSAT). Lab & Teams: The Intelligent Systems Lab develops autonomous systems, robotic platforms, and learning algorithms. The Kouretes team competes in RoboCup leagues, showcasing adaptive multi-agent strategies.

Sfakianakis Michaelمشاهده پروفایل

استاد

• Applied Statistics
• Business Informatics
• Quantitative Methods in Business Administration
• +۱۲ مورد دیگر

Michael Sfakianakis is Professor of Informatics and Statistics Applications in Business Administration at the Department of Business Organization and Management, University of Piraeus, where he also serves as Dean of the School of Economics, Business and International Studies since 2017. He holds a degree in Mathematics from the University of Athens, a Master’s in Informatics and Operations Research, and a PhD in Applied Quantitative Methods. First Degree: Department of Mathematics, University of Athens Master: Informatics and Operations Research PhD: Applied Quantitative Methods His research interests center on Applied Statistics, Business Informatics, Health Informatics, Tourism Economics, and Public Policy Modeling . His work bridges theoretical statistical methods with practical applications in business, healthcare, and public administration. He has published extensively in journals such as IEEE Transactions on Reliability, Journal of Applied Statistics, and European Journal of Clinical Investigation. The 15 most recent publications reflect a strong interdisciplinary trend, combining quantitative modeling with applications in telecommunications, e-government, health systems, and digital business . Key themes include business process automation, information systems evaluation, corporate social responsibility, and data-driven decision-making in public and private sectors. He has authored seven books on simulation, statistics, and informatics, and teaches in six postgraduate programs across the University of Piraeus and Athens University of Economics and Business. No specific scientific awards are listed in the provided text. Prof. Sfakianakis has supervised numerous students and has been deeply involved in academic and public service. He has led major research and policy initiatives in areas such as tourism satellite accounts, public procurement reform, and national statistical systems. His leadership roles include presidency of multiple university departments and advisory roles in national regulatory bodies. He is actively engaged in public policy, having chaired the Central Supervisory Board of the General Commercial Registry, served on the European Advisory Committee for Economic and Social Affairs, and contributed to OECD projects on measuring societal progress. He is also President of the Tourism Observatory and Deputy President of the National Authority for Healthcare Quality Assurance (ODIPY).

• Computational Creativity
• Machine Learning in Music
• Neural Networks
• +۴ مورد دیگر

Kaliakatsos Papakostas Maximos is an Associate Professor in AI in Music at the Department of Music Technology and Acoustics, Hellenic Mediterranean University, where he also directs the MSc program in Sound and Music Technologies. He collaborates with the Athena Research and Innovation Centre and the Cognitive and Computational Musicology Group at Aristotle University of Thessaloniki. His research focuses on computational creativity, neural networks in music understanding, evolutionary algorithms for harmony and rhythm generation, and interactive music systems. He develops applications like Genius Jam Tracks and contributes to open-source projects such as the CHAMELEON harmonisation system. His work bridges music theory, AI, and technology, with applications in mobile music tools and cognitive modeling. Research Interests : Computational Creativity through Machine Learning and Conceptual Blending Neural Networks in Music Generation and Analysis Evolutionary Computation for Musical Structures Human-Computer Interactive Systems for Improvisation Cognitive Models of Musical Perception Labs & Collaborations : Collaborating Researcher at Athena Research Centre Partnership with the Cognitive and Computational Musicology Group (Aristotle University) Development of open-source tools like CHAMELEON and GCT_py Grants & Projects : Not explicitly listed in provided texts, but his GitHub activity suggests ongoing research in AI music technologies.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

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.

• Management Information Systems
• Workflow Management
• Complex Event Processing
• +۷ مورد دیگر

Dr. Yiannis Verginadis is an Assistant Professor in Management Information Systems at the Department of Business Administration, Athens University of Economics and Business (AUEB). With over 15 years of experience in ICT projects, his research focuses on management of information systems workflow management complex event processing cloud computing and security adaptive systems context-aware access control He holds a Diploma and Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, specializing in inter-organizational workflow systems for e-Government. His career includes adjunct lecturer roles at the University of Thessaly and Technological Educational Institute of Kalamata. Research trends from his publications include: Cloud continuum brokerage and decentralized data management (2023-2025) Attribute-based access control for healthcare data (2021-2024) Workflow optimization in multi-cloud environments (2016-2023) Federated learning applications (2022-2024) Event-driven architectures and ontological modeling (2009-2021) Security-by-design frameworks (2013-2021) Dr. Verginadis has authored a book on Information Management Systems and contributed to works on e-Participation, adaptive web services, and ambient assisted living systems. He has served on over 25 journal and conference review committees and published 60+ peer-reviewed papers.

Anastasia Misseyanniمشاهده پروفایل

استاد

• Mediterranean Ecosystems
• Biodiversity Conservation
• Forest Fire Ecology
• +۷ مورد دیگر

Anastasia Misseyanni is a Professor in the Department of Science and Mathematics at The American College of Greece (Deree). She holds degrees from the University of Athens (Ptychion in Chemistry, MSc in Ecology), University of Paris 7 (MSc in Biochemistry), and University of Marburg (PhD in Biochemistry). Her research spans Mediterranean ecosystems, biodiversity conservation, forest fire impacts, environmental health, and active learning pedagogies in STEM. Alma Mater: University of Athens (Chemistry), University of Paris 7 (Biochemistry), University of Marburg (Biochemistry) Her recent work focuses on ecosystem services assessment, sustainability education through living laboratories, and green infrastructure optimization. She has coordinated the Environmental Studies program (2010-2020, 2023-present) and led her department (2014-2020). As an advisor to the Deree Environmental Studies Society and board member of the Hellenic Society for the Protection of Nature, she actively promotes environmental sustainability initiatives.

Tragaki Alexandraمشاهده پروفایل

استاد

• Economic Demography
• Population Geography
• Statistical Demography
• +۶ مورد دیگر

Professor Alexandra Tragaki is a faculty member at Harokopio University of Athens, serving in the Department of Geography, where she holds the rank of Professor of Economic Demography. Her office is located in the Geography Building (Office 2.2) at 70 El. Venizelou, Kallithea, Athens, Greece. Education: PhD in Economics (Specialisation in Economic Demography), Institut d’Études Politiques de Paris, 1997 DEA in Economic Demography, Institut d’Études Politiques de Paris, 1993 Degree in Mathematics, National and Kapodistrian University of Athens, 1992 Research Interests: Professor Tragaki’s research centres on the complex interactions between demographic dynamics, economic performance, environmental sustainability and social policy. She investigates how population ageing, migration and fertility shifts influence labour markets, social security systems and environmental vulnerability. Her work integrates advanced statistical and spatial analysis to inform evidence-based policy making, particularly within the European context. Across her extensive publication record, three dominant themes emerge: (1) mortality modelling and health transitions , often using sophisticated parametric distributions to forecast longevity and evaluate pandemic impacts; (2) fertility dynamics under economic stress , exploring how recessions, labour-market conditions and policy interventions shape reproductive behaviour; and (3) spatial demography and risk assessment , mapping population structures, coastal hazards and migration patterns across Greece and Europe. Scientific Awards: No specific awards are mentioned in the provided materials. Teaching & Program Development: Undergraduate courses: Statistical Analysis for Geographers, Population Geography and Demography, Population Economics and Policy Postgraduate courses: Applied Spatial Analysis, The Demographic Factor in Europe’s Economic and Social Policy, Migration Policy and Migration Flows She is involved in the interdepartmental MSc in Applied Geoinformatics and the MSc in Climate Crisis, Risks and Disasters. Laboratories & Research Teams: While no dedicated laboratory is explicitly named, her teaching and research activities within the Department of Geography suggest close collaboration with spatial analysis and geoinformatics teams at Harokopio University.

• Cybersecurity
• Critical ICT Infrastructure Protection
• Risk Analysis and Management
• +۳ مورد دیگر

Dimitrios Gritzalis is a Professor of Cybersecurity at the Department of Informatics, Athens University of Economics and Business. He serves as Director of the Postgraduate Program in Information Systems and Director of the Research Group on Information Security and Critical Infrastructure Protection (INFO-SEC). Previously, he held key administrative roles including Deputy Rector for Research (2017-2019), President of ELKE (2016-2019), Deputy Rector for Economic Planning & Development (2016-2017), and President of the Center for Training and Lifelong Learning (KEDIVIM, 2018-2019). Education: Bachelor's in Mathematics, University of Patras (1977) M.Sc. in Computer Science, City University of New York (1984) Ph.D. in Information Systems Security, University of the Aegean (1994) Research Focus: His work spans cybersecurity, critical infrastructure protection, IoT security, and privacy frameworks. He integrates technical and policy perspectives to address emerging digital threats, particularly in social media and networked systems. Projects & Grants: Over 35 years, he has led/participated in 150+ research projects funded by entities including the European Commission, Council of Europe, Greek ministries, banks, hospitals, and multinational corporations (Vodafone, BP, OTE). Key areas: security audits, infrastructure resilience, and data governance. Leadership & Service: Member, Personal Data Protection Authority (1997-2002) Chairman, Hellenic Society of Computer & Informatics Scientists (1996-1998) National Expert, ENISA (2012-2015) Board Chairman, DEKO Digital Assistance S.A. (2010-2011)

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.

James Cheneyمشاهده پروفایل

استاد

• Databases and data provenance
• Programming languages and compilers
• Generic programming
• +۷ مورد دیگر

James Cheney is a Personal Chair of Programming Languages and Systems at the University of Edinburgh, working in the Laboratory for Foundations of Computer Science within the School of Informatics. He leads the Principles of Provenance research group and has been a Turing Fellow from 2018 to 2023. His educational background includes a PhD in Computer Science from Cornell University (2004), an MS in Mathematics from Carnegie Mellon University (1998), and a BS in Computer Science and Mathematics from Carnegie Mellon University (1998). Cheney's research focuses on the intersection of databases and programming languages, with particular emphasis on data provenance. His work spans several key areas: Databases and data provenance Programming languages and compilers Generic programming Logic and automated theorem proving Compression and information theory XML and related technologies His recent publications demonstrate a strong focus on language-integrated query systems, type systems for programming languages, and formal approaches to data provenance. These works often bridge theoretical foundations with practical applications in database systems and programming language design. Cheney has received several notable awards and recognitions: Royal Society University Research Fellowship (2008-2016) Turing Fellow (2018-2023) ERC Consolidator Grant for the Skye project (2016-2021) Google Research Award for Language-integrated provenance As an advisor, Cheney has supervised numerous PhD students and postdoctoral researchers who have gone on to positions at institutions including New York University, LSE, University of Southampton, Meta, and others. His research has been supported by various grants from DARPA, EPSRC, AFOSR, EU FP7, and industry partners including Google, Microsoft Research, and Huawei. Cheney leads the Principles of Provenance group, which conducts fundamental research on data provenance and its applications in security, data curation, and scientific computing. The group has worked on projects including Skye (a programming language for scientific data curation), ADAPT (a DARPA-funded project on advanced persistent threat prevention), and language-integrated provenance systems.