جست‌وجوی استاد و پژوهشگر

• Computational Linguistics
• Human-Computer Interaction
• Natural Language Processing
• +۵ مورد دیگر

Alexandra Christina is affiliated with the Department of German Language and Literature at the National and Kapodistrian University of Athens. Her work bridges computational linguistics, human-computer interaction (HCI), and political/journalistic text analysis. She specializes in natural language processing (NLP), sentiment analysis, terminology management, and multilingual applications. Her research focuses on extracting implicit information from spoken and written texts, with applications in medical chatbots, aircraft maintenance communication, and political discourse analysis. Notable projects include the 'Athena' medical chatbot, Gricean maxim modeling in NLP, and HCI design for international conferences. Key Areas: Generative AI, ethical AI frameworks, cross-lingual dialogue systems, and cognitive bias analysis in ancient/modern texts. Publications: Over 100 peer-reviewed articles since 2007, including works on terminology databases, HCI conference proceedings, and sentiment analysis platforms. Her recent work emphasizes socially responsible AI, integrating NLP with ethical guidelines, and leveraging crowd-sourced data for unspoken sentiment detection. She collaborates on multilingual terminology projects like TERMONLINE and CNCTST database initiatives.

Costas Vassilakisمشاهده پروفایل

استاد

• Information systems
• Semantic web technologies
• Service-oriented architectures
• +۴ مورد دیگر

Costas Vassilakis is a Professor in the Department of Informatics and Telecommunications at the University of Peloponnese, serving as Dean of the Faculty of Economics and Technology since 2019. He holds a PhD from the University of Athens (1995) and has held academic roles since 2005, including Associate Professor and Visiting positions. His research focuses on information systems, semantic web technologies, and cultural informatics, with contributions to projects like Virtual Museums and SmartGov. He leads initiatives in digital cultural heritage, cybersecurity, and smart agriculture. Notable projects include Experimedia Blue for personalized cultural experiences and Cyber-Trust for IoT security. Active in teaching, he has instructed courses on operating systems, software engineering, and real-time systems. He contributes to academic governance, including roles in the University Council and strategic planning units. His work bridges technology and cultural preservation, emphasizing interdisciplinary innovation. Education: PhD in Informatics, University of Athens (1995); MSc equivalent in Informatics, University of Athens (1990). Research Interests: Focuses on recommenders systems, collaborative filtering optimization, cybersecurity frameworks, and AI applications in agriculture. Active in cultural heritage digitization, museum technologies, and VR systems. Recent Projects: Includes TripMentor (tourism platform), PaloAnalytics (market analytics), and Rehabotics (rehabilitation robotics). Leads EN.I.R.I.S.S.T., a national infrastructure for maritime and logistics research. Awards: No explicit awards listed, but recognized through extensive project leadership and academic roles.

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.

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.

Antonia Saravanouمشاهده پروفایل

پژوهشگر

• Data Mining
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Antonia Saravanou is a Ph.D. graduate from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens (NKUA), advised by Prof. D. Gunopulos. She holds an M.Sc. in Advanced Information Systems and a B.Sc. in Computer Science from the same department. Since 2011, she has worked as a Research Scientist and Engineer at NKUA and Athens University of Economics and Business (AUEB), and is affiliated with the Knowledge Discovery in Databases Laboratory (KDDLab) and the Management of Data, Information & Knowledge Group (Madgik). Her research spans Data Mining, Machine Learning, and Anomaly Detection, with a focus on Social Network Analysis, Graph Representations, and Healthcare Applications. She has completed research visits at Stanford University's Geometric Computing Group, Spotify Tech Research, and Bloomberg AI. Education: Ph.D., Informatics and Telecommunications, NKUA M.Sc., Advanced Information Systems, NKUA B.Sc., Computer Science, NKUA Her research explores graph-based methods for event detection in social networks, self-supervised node representation learning, and applications in healthcare and news analysis. Projects include music recommendation systems via graph representations, infant mortality prediction models using birth certificate data, and real-time news monitoring frameworks. She has also worked on knowledge graph applications for news ranking and anomaly detection in sparse time series data. Scientific Awards: Outstanding Reviewer for ICLR 2021 Top Reviewer for NeurIPS 2018 As a teaching assistant, she has supported graduate and undergraduate courses at NKUA, including Mining Big Datasets, Data Mining, and Artificial Intelligence. She actively participates in outreach programs like ACM Student Chapter UoA, Rails Girls Athens, and Django Girls.

Panagiotis Karkazisمشاهده پروفایل

دانشیار

• Embedded Systems
• Internet of Things (IoT)
• Cloud Computing
• +۷ مورد دیگر

Panagiotis Karkazis serves as Associate Professor in the Department of Computer Engineering at the School of Engineering, University of Western Attica. His academic foundation includes a BSc in Electrical Engineering from the Technological Institute of Piraeus (1999), an MSc in Electronic Communication from Kingston University (2005), and a PhD from the Technical University of Crete (2014) focused on trusted routing protocols in wireless sensor networks. His industry background as an Embedded Systems Software Engineer in telecommunications R&D complements his academic profile. His research spans Embedded Systems, IoT, Cloud Computing, SDN/NFV, and Wireless Sensor Networks, with recent emphasis on 6G networks, Reconfigurable Intelligent Surfaces, and blockchain applications. Key interests include user-centric network design, AI-driven optimization, and industrial IoT implementations. His work bridges theoretical networking with practical applications in cybersecurity, renewable energy education, and Industry 4.0/5.0 systems. Analysis of his recent publications reveals three dominant trends: 1) Next-generation wireless technologies (RIS, 6G) addressing interference and reliability challenges; 2) Meta operating systems (NEMO) and data spaces for distributed computing; 3) Interdisciplinary applications combining blockchain with serious gaming for education and supply chain security. His work consistently integrates AI/ML techniques for network optimization and demonstrates strong European research collaboration. As director of the Industrial Information Systems Lab, Karkazis leads research in industrial IoT, embedded systems, and network virtualization. He has served as principal researcher in numerous National and European projects including 5GTANGO and FASTER, focusing on SDN/NFV, cloud infrastructure, and real-time communications. His lab actively develops solutions for smart factories, cybersecurity in farm-to-fork supply chains, and safety hazard detection in Industry 5.0 environments.

Vassilios Peristerasمشاهده پروفایل

دانشیار

• Business Information Systems
• eGovernment
• Digital Transformation
• +۷ مورد دیگر

Vassilios Peristeras is an Associate Professor at the International Hellenic University (School for Science and Technology) and Associate Research Fellow at KU Leuven (Public Governance Institute). His work bridges business, technology, and public administration through research in Digital Transformation , eGovernment , and Semantic Web Technologies . Focus areas: Public Sector Innovation, Interoperability, Open Data Key projects: JustReDi, GR digiGOV-innoHUB Recent publications: Data-centric governance, AI ethics, and talent matching His research explores knowledge graphs , government big data ecosystems , and responsible AI adoption. Articles emphasize semantic technologies for policy documentation, cybersecurity cooperation , and digital transformation barriers in education and public sectors. Contact: dorg@ihu.edu.gr

George Caridakisمشاهده پروفایل

دانشیار

• Cultural Informatics
• Digital Culture
• HCI
• +۴ مورد دیگر

Associate Professor George Caridakis holds a faculty position at the Department of Cultural Technology and Communication, University of the Aegean, where he founded the Intelligent Interaction Research Group (ii.aegean.gr). He also serves as an Adjunct Professor at Athena Research Center (Athena RC) and a Senior Researcher at the National Technical University of Athens' Intelligent Systems, Content and Interaction Laboratory. His research spans Cultural Informatics, AI-driven Interaction, IoT, Mixed Reality, and Semantic Web technologies, with over 75 publications and an h-index of 20. Caridakis has led or contributed to over 20 European/National projects, focusing on cultural heritage preservation, digital twin technologies, and AI applications in education and tourism. He actively supervises graduate theses and teaches at both undergraduate and postgraduate levels. His work emphasizes participatory methods, context-aware systems, and cross-disciplinary collaboration in cultural spaces. Education details are not explicitly provided in the text, but his academic trajectory is evident through his roles and projects. Research interests include affective computing, embodied interaction, and heritage digitization. His methodologies often integrate semantic technologies and IoT to solve challenges in cultural preservation and visitor experience optimization. Recent work explores large language models (LLMs) for museum recommendations and robotics in education. Publications reflect a strong focus on cultural heritage management (e.g., digital twins, crowdsourcing, AR), user-centric design (recommender systems, sentiment analysis), and smart systems (IoT in heritage spaces). His projects like CAnTi and CHEKG demonstrate innovation in collaborative methodologies and modular knowledge graphs. Caridakis has served as a journal/conference reviewer and evaluator for funding bodies, contributing to the advancement of interdisciplinary research standards. He leads the OpenLab for Cultural Heritage Conservation, integrating VR/AR for site preservation. Collaborations span academia and industry, emphasizing applied research with practical societal impact. Current initiatives include advancing accessibility through regional digital infrastructures and enhancing citizen engagement via participatory frameworks.

• Process Systems Engineering
• Optimization
• Model Predictive Control
• +۵ مورد دیگر

Nikolaos Diaggelakis serves as an Assistant Professor in the Department of Process Development, Analysis & Design (II) at the School of Chemical Engineering, Technical University of Crete, where his work bridges theoretical optimization and industrial process applications. Education: Ph.D. in Chemical Engineering, Imperial College London, 2017 M.Sc. in Chemical Engineering, Imperial College London, 2012 Diploma in Chemical Engineering, National Technical University of Athens, 2011 Visiting Doctoral Researcher, Texas A&M Energy Institute, 2017 His research pioneers process systems engineering through mathematical optimization with moving time horizons, simultaneous design-control integration, and multi-parametric programming frameworks. Key applications span chemical process intensification, energy-efficient microgrids, and environmental systems, emphasizing worst-case and nonlinear optimization robustness. His theoretical contributions directly enable industrial implementations in energy systems and manufacturing. Publications from 2015-2022 reveal a concentrated evolution toward real-time optimization and decentralized control architectures , with increasing focus on data-driven surrogate models and robust explicit MPC strategies. The work consistently bridges fundamental algorithm development (e.g., multi-parametric quadratic programming solutions) with tangible industrial applications like air separation units and combined heat-power systems. Scientific Awards: Excellence Award for Outstanding PhD Thesis in Computer Aided Process Engineering (CAPE), Third Place, 2017 Invited Speaker, Distinguished Young Researchers Seminar Series, Northwestern University, 2016 Best Poster Award, CPSE Autumn Industrial Consortium Meeting, Imperial College London, 2014 Dr. Diaggelakis actively secures competitive funding, including U.S. Department of Energy grants (2018-2020) for smart manufacturing in chemical processing and National Science Foundation projects (2015-2016) on integrated process design-control frameworks. His leadership in the PAROC research group drives software development (POP toolbox) and industry collaborations through consortia like CPSE. Current projects emphasize uncertainty-aware scheduling for process industries and energy-efficient microgrid operation. He co-develops the industry-standard PAROC framework and POP toolbox, enabling multi-parametric optimization for complex process systems, and maintains active partnerships with Texas A&M and Imperial College London through ongoing research consortia.

• Personalized Software Technology
• Mobile Device Programming
• Web Programming
• +۴ مورد دیگر

Evangelos Sakkopoulos is an Associate Professor at the Department of Computer Science, University of Piraeus, specializing in Custom Software Technology. He holds a PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research focuses on personalized software systems, mobile programming, web development, and data privacy solutions. He has contributed over 60 publications in international journals and conferences, with expertise in frequent itemset hiding algorithms, AI-driven e-learning systems, and smart home security technologies. Education: PhD in Computer Engineering and Informatics (University of Patras) Research interests include: Personalized Software Technology Mobile Device Programming Web Programming Data Privacy and Security Machine Learning Applications His work spans e-government systems, maritime surveillance technologies, and cultural heritage preservation through AI. Recent projects address challenges in digital identity management, EU policy compliance, and adaptive learning environments. Over 150 academic publications reflect his contributions to privacy-preserving data mining, smart home safety, and mobile healthcare systems.

Vasilis Efthymiouمشاهده پروفایل

استادیار

• Big Data
• Database Systems
• Entity Resolution
• +۷ مورد دیگر

Vasilis Efthymiou is an Assistant Professor at the Department of Informatics and Telematics at Harokopio University of Athens (HUA), Greece. His research focuses on Big Data database systems, entity resolution, knowledge graphs, and machine learning applications. He has held postdoctoral positions at IBM Research and FORTH-ICS, and contributed to initiatives like the SemTab challenges and TaDA workshops. Education: Diploma in Computer Science (2010), University of Crete. Masters in Information Systems and Bioinformatics (2012), University of Crete. PhD in Entity Resolution in the Web of Data (2017), University of Crete. Research Interests: Efthymiou’s work emphasizes scalable entity resolution techniques, fairness-aware AI systems, and knowledge graph integration. He explores applications in cybersecurity, natural language interfaces, and privacy-preserving data analytics. Recent projects include automated entity resolution pipelines (e.g., TREATS) and hybrid graph neural networks for entity alignment (HybEA). Publications: His 60+ papers span venues like VLDB, SIGMOD, and AAAI. He co-authored two books and holds four US patents in data systems. Notable works include surveys on end-to-end entity resolution and fairness-aware entity resolution tools. Grants & Labs: He co-organized international workshops (e.g., TaDA) and contributed to benchmarking systems like SemTab. His team develops tools like FairER and pyJedAI, emphasizing open-source solutions for data integration challenges.

• Network Security
• Internet of Things (IoT)
• Artificial Intelligence in Networking
• +۵ مورد دیگر

Dimitris Kalogeras is a Researcher at the National Technical University of Athens (NTUA) , affiliated with the School of Electrical and Computer Engineering and the EPISEY research institute. He has been a key contributor to advanced networking initiatives, including the NTUA Network, EDET optical network, and University School Network. His work spans national and European projects like GEANT, 6net, and NOVI, and he pioneered IPv6 and multicast deployment in Greece and Europe. His research focuses on Network security Internet of Things (IoT) Artificial intelligence in networking Cyber-physical systems Robotics Medical image processing Recent work involves federated learning, UAV-based localization, and privacy-preserving frameworks in IoT environments. An analysis of his 15 most recent publications reveals strong emphasis on applications of machine learning in network security, robotic infrastructure maintenance, and lightweight AI for IoT. His projects include thethingsNetwork deployment in Athens, the HERON robotic platform, and the FELICE collaboration framework. He has contributed to global IoT initiatives through multi-channel LoRAWAN gateways and 6LowPAN mesh networks. His work on blockchain-based DDoS mitigation and semantic-aware policy management demonstrates leadership in cyber infrastructure resilience.