جست‌وجوی استاد و پژوهشگر

• Service-Oriented Architectures
• Data Management
• Cloud Computing
• +۵ مورد دیگر

Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.

• e-business
• supply chain management
• inter-organizational information systems
• +۵ مورد دیگر

Dr. Evangelia Kopanaki is an Associate Professor at the Department of Business Organization and Administration within the School of Economics, Business and International Studies at the University of Piraeus, Greece. With a strong academic background in Mathematics, Informatics, and Information Systems, she has established herself as a prominent researcher and educator in the fields of digital transformation, e-business, and supply chain management. Dr. Kopanaki earned her BA in Mathematics and MSc in Informatics from the National and Kapodistrian University of Athens, followed by a PhD in Information Systems from the London School of Economics and Political Science. Prior to her current position, she worked as a researcher at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens for over three years, participating in numerous Greek and European research projects. She also has industry experience as an analyst-programmer in the private sector. Her research interests focus on the intersection of information systems and business operations, particularly in the areas of e-business, supply chain management, inter-organizational information systems, Internet technologies, and Business Agility. Dr. Kopanaki has published extensively in international conferences and journals, with a recent emphasis on digital transformation across various sectors including retail, banking, tourism, and transportation. Her work often explores how digital technologies can enhance sustainability, operational efficiency, and strategic decision-making in complex business environments. A significant portion of Dr. Kopanaki's recent research (2022-2025) examines the role of digital transformation in creating sustainable business practices, with particular attention to supply chain management, tourism, and financial services. Her publications demonstrate a strong focus on practical applications of emerging technologies like blockchain, AI, and big data analytics to solve real-world business challenges. The research shows a clear trajectory toward integrating sustainability considerations with digital innovation across multiple industry sectors. Co-author of two Academic Books in the fields of e-business and Internet technologies Extensive publication record in international conferences and journals Dr. Kopanaki has taught a variety of undergraduate and postgraduate courses at the University of Piraeus, including Operations Research, Management Information Systems, E-Commerce, and E-Commerce Programming & Design. She has also shared her expertise at the National and Kapodistrian University of Athens and the Singapore Institute of Management through the University of London International Programmes. Her teaching philosophy emphasizes the practical application of theoretical concepts, preparing students for the digital challenges of modern business environments. Through her work with the University of Piraeus, Dr. Kopanaki contributes to several research laboratories and initiatives focused on digital transformation, sustainable business practices, and innovative information systems. Her research projects often involve collaboration with industry partners and international academic institutions, creating valuable bridges between theoretical knowledge and practical business applications.

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.

Kalogeraki Vanaمشاهده پروفایل

استاد

• Distributed Systems
• Real-Time Systems
• Big Data Systems
• +۸ مورد دیگر

Prof. Vana Kalogeraki is a Faculty Member at the Department of Informatics , Athens University of Economics and Business (AUEB) , and serves as the Dean of the School of Information Sciences and Technology and Director of the Computer Systems and Communications Laboratory . She has held academic positions at the University of California, Riverside and was a Research Scientist at Hewlett-Packard Labs . PhD: University of California, Santa Barbara M.S. & B.S.: University of Crete, Greece Her research focuses on Distributed and Real-Time Systems , Big Data Systems , Cloud Computing , Human-Centered Systems , and Crowdsourcing . She has published over 200 papers at top journals (IEEE TPDS, ACM TOS, etc.) and conferences (RTSS, DSN, ICDCS, VLDB, MDM), including co-authoring the OMG CORBA Dynamic Scheduling Standard . Her 2023-2025 publications address AI pipelines in serverless environments, edge computing for trauma detection via eye-tracking, and fairness in resource scheduling. She has received prestigious awards including an ERC Starting Grant , Best Paper Awards (DEBS 2017, IPDPS 2009), a Best Poster Award (EuroSys 2024), and multiple UC Research Awards . Her research is funded by the European Union (ARISTEIA, THALIS), NSF, and industry partners like SUN and Nokia. Advising Legacy : Supervised 10 PhD graduates (now at Google, Amazon, IBM, Apple) and over 60 MS/PhD committees Labs & Teams : Leads the Computer Systems and Communications Laboratory at AUEB, focusing on mobile human-centered systems and urban data analytics

Christos Antonopoulosمشاهده پروفایل

دانشیار

• Wireless Networks
• Network Communication Protocols
• Embedded Software
• +۶ مورد دیگر

Dr. Christos Antonopoulos is an Associate Professor at the Department of Electrical and Computer Engineering, University of Patras. He holds a Diploma and PhD in Electrical Engineering from the University of Patras (2002, 2008) and has participated in over 16 European research projects (FP5, FP6, FP7, Horizon 2020) and 6 national projects. Research Interests: Wireless Networks Cyberphysical Systems Embedded Software Architecture Internet of Things Cross-Layer Protocols Sensor Networks Technical Expertise: His work involves network simulation, power optimization, and reconfigurable computing. He has published >100 journal/conference papers and 13 book chapters with over 1000 citations.

Dimitrios Tsoumakosمشاهده پروفایل

دانشیار

• Big Data Management
• Distributed Systems
• Cloud Computing
• +۵ مورد دیگر

Dimitrios Tsoumakos serves as an Associate Professor of Big Data Management Systems at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) where he also directs DBLab, the Knowledge and Database Systems Laboratory. His academic career spans over two decades with significant contributions to large-scale data management and distributed systems. Diploma in Electrical and Computer Engineering from NTUA (1999) M.Sc. in Computer Sciences from University of Maryland (2002) Ph.D. in Computer Sciences from University of Maryland (2006) Professor Tsoumakos' research focuses on the intersection of big data management, cloud computing, and distributed systems. His work addresses fundamental challenges in large-scale data processing, including wavelet synopses for data summarization, vector embedding frameworks for analytics operators, multi-engine analytics systems, and cloud application deployment with failure recovery mechanisms. His research consistently bridges theoretical algorithms with practical implementations for real-world data challenges. His publication record demonstrates consistent innovation from early work on P2P data management systems through to current research on vector embeddings and deep reinforcement learning for cloud autoscaling. Recent work shows a clear progression toward content-based analytics, multi-dataset integration, and intelligent resource management in heterogeneous environments. Best Paper Runner Up Award at SSDBM 2019 Best Paper Award at CCGrid 2013 Professor Tsoumakos has secured substantial research funding through multiple European projects including RELAX (2023-2027), HiDALGO2 (2023-2026), DAPHNE (2021-2024), and previous initiatives like HiDALGO, TraMOOC, ASAP, CELAR, ARCOMEM, and GREDIA. These projects reflect his leadership in big data analytics, cloud computing, and distributed systems research. As director of DBLab, Professor Tsoumakos oversees research on the Knowledge and Database Systems Laboratory, which has produced significant work on analytics operators, multi-engine resource scheduling (IReS platform), cloud elasticity (TIRAMOLA), and RDF data management (H2RDF+). The lab maintains strong industry connections and has developed multiple open-source tools for big data analytics.

• Distribution Theory
• Run and Pattern Analysis
• Statistical Quality Control
• +۵ مورد دیگر

Demetrios Antzoulakos is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus. He holds leadership roles as Head of the Department since January 2014 and Director of the MSc in Applied Statistics program. He has been affiliated with the University of Piraeus since 1998, progressing through Lecturer (1998-2000) to Assistant Professor (2000-2006) before his current role. His research focuses on distribution theory, run and pattern analysis, statistical quality control, and actuarial science applications. Education: Ph.D. in Mathematics, University of Patras (1990) Diploma in Mathematics, University of Patras (1986) Teaching: Undergraduate courses include Probability I/II and Life Insurance II. Postgraduate courses cover Data Analysis, Statistical Quality Control, Survival Analysis, and Life Contingencies. Research Interests: Span distribution theory of runs, control charts, start-up demonstration tests, and Fibonacci polynomials. His work bridges theoretical probability with practical applications in risk theory and quality assurance. Refereeing: Serves as a referee for journals like Journal of Applied Probability , Annals of the Institute of Statistical Mathematics , and IEEE Transactions on Reliability .

• Business Strategy
• Information Systems
• E-Government
• +۳ مورد دیگر

Professor Yannis A. Pollalis holds the position of Department Chair in the Department of Economics at the University of Piraeus. He is a distinguished academic with a Ph.D. from the University of Pittsburgh and an MBA from the University of Scranton. His career includes roles as a professor at Syracuse University and consultancy for major organizations like Pittsburgh Plate Glass International and ISG Weirton Steel Corporation. He is founder and director of the Postgraduate Program in Economic & Business Strategy and the iLEADS Lab (Research & Educational Laboratory for Strategic Leadership & Digital Transformation). Affiliations: Vice Chairman of the Board of Directors of Hellenic Development Bank, former Chairman of the Committee for Greece’s New Development Law. Research Focus: Business strategy, e-Government, healthcare management, digital transformation, and marketing strategies. Teaching: Covers leadership, strategic planning, digital economy, and international business. His research spans over 18 books and numerous peer-reviewed articles in journals like International Journal of Information Management and Health Policy . He has received awards for teaching excellence and has advised on projects for the Greek Ministry of Development, ELTA, and OTE. His work bridges academic research with practical applications in policy, healthcare, and digital innovation. Key Achievements: Over 1,500 citations in international journals, h-index 16, and leadership in interdisciplinary research networks. His iLEADS Lab focuses on strategic leadership and digital transformation in public and private sectors.

Angelos Alexopoulosمشاهده پروفایل

استادیار

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +۴ مورد دیگر

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).

• Robotic Vehicles
• Computational Intelligence
• Cooperative Control and Optimization
• +۳ مورد دیگر

Lefteris Doitsidis is an Associate Professor at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Production and Management Engineering from the same institution (2008), with prior academic positions at the Department of Electronics, Hellenic Mediterranean University. His professional journey includes visiting scholar roles at the University of South Florida, USA. Research focuses on robotic systems, including autonomous navigation of UAVs/AUVs, multirobot teams, computational intelligence, and educational robotics. He leads the Intelligent Systems and Robotics Laboratory, developing tools like HYDRA for STEM education and frameworks for industry 4.0 applications such as bin-picking and precision agriculture. His work integrates control systems optimization, energy efficiency in manufacturing, and digital twin technologies. Over 65 publications span journals, conferences, and books, emphasizing practical implementations like ROS-based autonomous vehicle testbeds and energy management systems for electric vehicles. Key contributions include UAV path planning algorithms, swarm robotics coordination, and sensor fusion techniques. Current research trends emphasize sustainability in manufacturing, educational robotics platforms, and autonomous systems validation through advanced algorithms like Deep Deterministic Policy Gradient.

• Computational Linguistics
• Natural Language Processing
• Sentiment Analysis
• +۲ مورد دیگر

Alexandri Christina is a Lecturer at the Faculty of German Language and Literature at the National and Kapodistrian University of Athens. Her research focuses on computational linguistics and natural language processing, with applications in sentiment analysis, machine translation, and human-computer interaction systems. Her work examines how implicit meaning and unspoken context in spoken interactions can be computationally modeled, particularly in political, journalistic, and technical domains. Recent projects explore the integration of generative AI with traditional linguistic approaches to enhance human-machine communication across specialized fields including medical, engineering, and maintenance contexts. Research trends show consistent focus on multilingual processing challenges, with innovations in knowledge graph construction for bias detection and cross-domain adaptation techniques. Publications demonstrate strong interdisciplinary connections between linguistics, computer science, and social sciences.

• Distributed Systems
• IoT Protocols
• Big Data
• +۴ مورد دیگر

Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.

Papaloukas Konstantinosمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Biomedical Signal Processing
• +۷ مورد دیگر

Professor Papaloukas Konstantinos is affiliated with the University of Ioannina, where he leads research in bioinformatics and computational biology. His work focuses on integrating machine learning with biomedical data to address challenges in healthcare, such as disease prediction, biomarker discovery, and personalized medicine. He teaches courses including Bioinformatics and Introduction to Computer Science, and directs the Bioinformatics Laboratory. Research interests span computational analysis of proteins, automated tissue classification, and biomedical signal processing. Key areas of exploration include cardiovascular disease mechanisms, diabetes management, autoinflammatory disorders, and cancer biomarkers. His most recent studies leverage ensemble learning for hypoglycemia prediction and deep learning for autoinflammatory biomarker discovery. Publications highlight contributions to multimodal patient data integration, synthetic data generation for chronic diseases, and multimodal glucose prediction systems. Collaborative projects span cardiology, oncology, and infectious disease research. Despite no explicitly listed awards, his work demonstrates significant impact in computational medicine and bioinformatics. As part of his academic role, he advises students in bioinformatics and computational biology, though specific advisee names are not documented in available materials. His laboratory focuses on translating genomic and clinical data into actionable insights for clinical decision support.

Christos Tryfonopoulosمشاهده پروفایل

دانشیار

• Information Retrieval
• Information Filtering
• Personal Information Management
• +۲۰ مورد دیگر

Christos Tryfonopoulos is an Associate Professor and Head of the Department of Informatics & Telecommunications at the University of the Peloponnese, where he leads the Software and Database Systems (SoDa) Lab. His academic career spans prestigious institutions including the Max-Planck Institute for Informatics in Germany, where he led the P2P and Information Management research area from 2006-2009, and the Technical University of Crete, where he completed his PhD and MSc degrees. His research interests focus on information management, distributed systems, digital libraries, and data/user anonymity. His work bridges theoretical foundations with practical applications across diverse domains including environmental monitoring, cybersecurity, cultural heritage, and medical informatics. He has developed innovative frameworks for pollution prediction, cyber-threat intelligence, and academic expertise mapping that demonstrate the interdisciplinary nature of his research. Professor Tryfonopoulos has published over 80 papers in top-tier journals and conferences including TOIS, TKDE, SIGIR, and SIGMOD. His recent work shows a strong trend toward applying machine learning techniques to information management problems, with publications spanning environmental science, cybersecurity, and bibliometrics. His research group has developed several significant tools including VeTo+ for expert set expansion, inTIME for cyber-threat intelligence, and Hydria for cultural heritage analytics. Candidate for best research paper in ESWC 2016 conference Honorable mention for best poster (3rd place) in ESWC 2012 conference Award as Distinguished Scientist Excelling in Research Abroad (2008) Best student paper award in ECDL 2005 conference Heraclitus PhD fellowship from Greek Ministry of Education (2002-2005) National Scholarship Foundation of Greece (IKY) scholarship (1998) Professor Tryfonopoulos has supervised 5 PhD students (3 in progress), 19 MSc students, and 31 BSc students. He has led or participated in 13 competitive EU and national research projects including ENIRISST+ for shipping and transport infrastructure, WeCare for student support structures, and FORESIGHT for cybersecurity simulation. His current research focuses on intelligent infrastructure for transportation logistics, cyber-threat intelligence systems, and educational technologies for data science.

Ladas Anestisمشاهده پروفایل

دانشیار

• Financial Reporting
• International Financial Reporting Standards (IFRS)
• Textual Analysis of Financial Statements
• +۵ مورد دیگر

Anestis Ladas is an Associate Professor at the Department of Accounting and Finance, School of Business Administration, University of Macedonia. He holds a PhD in Accounting from the same university, an MSc in International Securities Investment and Banking from the University of Reading (UK), and a BSc in Economics from Aristotle University of Thessaloniki. Specializes in textual analysis of financial statements and network analysis for risk measurement Active in blockchain applications for accounting and auditing Publishes in journals like International Journal of Accounting and Journal of Financial Stability His research explores: Information content of financial reports Impact of accounting variables on financial risk Accounting conservatism and value relevance Cryptoasset accounting frameworks Big data analytics in accounting Recent publications analyze: Textual characteristics of 10-K filings (2021) Capital flow regulation and liquidity (2020) Aggregate accounting data for credit risk prediction (2019) Financial contagion prevention mechanisms (2019) He supervises PhD research on textual analysis of accounting comparability and serves as ad-hoc reviewer for journals including British Accounting Review and Multinational Finance Journal .