Find Academic Supervisors

Konstantinos SkianisView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Deep Learning
• +14 more

Konstantinos Skianis is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. His research lies at the intersection of Natural Language Processing, Machine Learning, Deep Learning, and Data Science, with a focus on representations, regularization, robustness, and reasoning (the 4R's). He has founded the Greek AI company BLUAI and co-founded PrimeHost AI, a startup automating guest conversations using AI. Ph.D. in Computer Science, École Polytechnique, France (2015–2019) M.Sc. in Math, Computer Vision, and Machine Learning, École Normale Supérieure de Cachan, France (2014–2015) B.Sc. in Computer Science, Athens University of Economics and Business, Greece (2013) His research interests span Natural Language Processing , Graph Neural Networks , Large Language Models , Representation Learning , and Medical AI . He investigates robustness in neural networks, reasoning with LLMs via pseudo-code, and multilingual applications in low-resource settings like Greek. His recent work includes digital twins for industrial optimization, climate adaptation in ports using ML, and mental health detection via LLMs. The 15 most recent publications reflect a strong trend in graph-based learning , LLM reasoning , representation robustness , and applied AI in healthcare and industry . His work combines theoretical rigor with practical applications, often involving real-world datasets from public health, industrial processes, and climate science. Best Paper Award, TextGraphs at NAACL 2018 OpenAI Researcher Access Program (2024) He has advised or collaborated on several student projects and competitions, including the Data Mining Cup and Kaggle challenges. He has secured research support through the OpenAI credits program. He has taught courses in Linear Algebra, Data Mining, and advanced labs on graph and text learning at ENS Paris-Saclay. He is actively involved in the research community as an Area Chair for ARR (2025) and reviewer for top-tier venues like NeurIPS, ICLR, ACL, and EMNLP. He leads or contributes to open-source tools such as GoWvis (text visualization), GraKeL (graph kernel library), and SpreadViz (influence spread visualization). His work on Greek NLP resources has helped advance language technology for low-resource languages.

Alexander ArtikisView profile

Associate Professor

• Artificial Intelligence
• Distributed Systems
• Multi-Agent Systems
• +3 more

Alexander Artikis is an Associate Professor at the Department of Maritime Studies, University of Piraeus. His academic work bridges artificial intelligence, distributed systems, and maritime informatics, with a focus on complex event recognition and temporal reasoning. PhD in Multi-Agent Systems from Imperial College London Research areas include: Artificial Intelligence and Machine Learning Distributed and Real-Time Systems Event Calculus and Temporal Reasoning Maritime Data Analytics Recent publications highlight advancements in: Knowledge Graph Inconsistency Detection and Resolution Tensor-Based and Symbolic Register Transducer Formalisms Human-in-the-Loop Visual Analytics Temporal Specification Optimization Large Language Model Applications in Event Recognition Scalable Event Processing for Maritime Mobility He contributes to the academic community through program committee roles at premier conferences like AAMAS, IJCAI, and AAAI.

Bernhard ScholzView profile

Professor

• Programming Languages
• Compilers
• Static Analysis
• +4 more

Bernhard Scholz is a Professor at the University of Sydney's School of Computer Science. His research focuses on programming languages, compilers, static analysis, and blockchain technologies, with significant contributions to Datalog optimization and smart contract security. He teaches COMP3109 Programming Languages and Paradigms and leads research in declarative programming frameworks. Scholz's primary research interests include: Development of Soufflé, a Datalog-based program analysis framework Ethereum smart contract security through tools like Ethainter and MadMax Parallel data structures for efficient Datalog evaluation Compiler optimizations for embedded systems and cloud environments His recent publications demonstrate a consistent focus on improving the efficiency and security of declarative programming systems, particularly through innovations in Datalog execution and smart contract analysis. This work bridges theoretical computer science with practical applications in blockchain and distributed systems. Scholz has secured research funding including an ARC Discovery Project on adaptive key-value stores and a Fantom Operations grant for smart contract toolchain development. He collaborates with international researchers on parallel computing and blockchain verification projects.

Theodorakopoulos EliasView profile

Assistant Professor

• Machine Learning
• Deep Learning
• Computer Vision
• +3 more

Theodorakopoulos Elias is an Assistant Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace (DUTH) since 2023. His research focuses on Machine Learning and Deep Learning applications in Signal Processing, Computer Vision, and Image Analysis, with a particular emphasis on Biometrics and Biomedical Signal Processing. Education: BSc in Physics (2007), MSc in Electronics & Computers (2009), PhD in Pattern Recognition (2014) from the University of Patras. Courses Taught: Pattern Recognition, Electrical Measurements, Electrical Circuits I, and Digital Image Processing at the undergraduate level. His work bridges industrial and academic domains, with over 10 years in private sector Computer Vision and Data Analysis development, complemented by participation in European and National R&D programs. Recent research includes geometric regularization in neural networks and knowledge transfer methodologies. In the SAFE-AORTA project, he serves as a Scientific Associate, contributing to AI-driven clinical decision support systems for abdominal aortic aneurysm disease. His publications span journals like Expert Systems with Applications, ERJ Open Research, and Pattern Recognition, reflecting interdisciplinary applications in biometrics and biomedical engineering.

Panagiotis NastouView profile

Assistant Professor

• Secure Discrete Systems Modeling
• Graph Theory
• Cryptography
• +5 more

Panagiotis Nastou is an Assistant Professor at the Department of Mathematics , University of the Aegean , with research interests in Secure Discrete Systems Modeling, Graph Theory, Cryptography, Design and Analysis of Algorithms , and Complexity Theory . He has been active in teaching courses such as Discrete Mathematics and Cryptography since 2007 and serves as Director of the Applied Mathematics and Mathematical Modeling Laboratory since 2019. Education : Ph.D., MSc., and BSc. in Computer Engineering and Informatics from Patras University. Membership : Center for Applied Optimization (University of Florida), GDPR TEAM, IEEE, ACM, and Hellenic Technical Chamber. His research bridges theoretical computer science and applied security, focusing on cryptographic protocols, algorithm design, and the application of discrete mathematics to real-world problems. He has contributed to the development of secure systems for critical infrastructure and privacy-preserving frameworks in smart cities. Recent publications (2021-2025) emphasize malware evasion , quantum cryptanalysis , and privacy in IoT environments , utilizing formal methods and combinatorial structures. His work also extends to deep learning for document analysis and consensus algorithms in social networks . He has supervised numerous Master's and undergraduate theses in areas like Zero-Knowledge Proofs , Neural Networks , and Cryptographic Boolean Functions . Administrative roles include representation in the ERASMUS+ program and participation in EU-funded project evaluations.

• Causal Inference
• Machine Learning
• Data Science
• +2 more

Sofia Triantafillou is an active Assistant Professor at the University of Crete specializing in causal inference and machine learning, with research applications spanning healthcare, telecommunications, and environmental health. Her work bridges theoretical advances in causal discovery with real-world problem solving across diverse domains. Her educational background includes a PhD from the University of Crete completed in 2015. Dr. Triantafillou's research focuses on developing robust methods for causal discovery, treatment effect estimation, and data integration. Key contributions include foundational work on causal Markov boundaries, identifiability frameworks, and automated causal pipelines. She addresses critical challenges in heterogeneous data settings, particularly in healthcare applications like sepsis treatment optimization and environmental health impact analysis. Her interdisciplinary approach combines computer science, statistics, and domain-specific knowledge to advance both methodological rigor and practical utility. Analysis of her 2021-2025 publications reveals a sustained emphasis on automating causal discovery processes and handling complex real-world data scenarios. She has pioneered techniques for integrating observational and experimental data, with growing applications in biomedical informatics (e.g., sepsis heterogeneity analysis) and industrial domains (e.g., 5G network optimization). Her work demonstrates consistent innovation in making causal methods more accessible, reliable, and applicable across disciplines.

Panagiota TselentiView profile

Lecturer

• Artificial Intelligence
• Data Mining
• Information Retrieval
• +5 more

Panagiota Tselenti is a Lecturer in the Department of Informatics and Computer Engineering at the University of West Attica. She holds a PhD in Computer Science from Kingston University (UK, 2017), specializing in artificial intelligence algorithms, social network analysis, and recommender systems. Her teaching spans undergraduate and postgraduate programs since 1995, covering Robotics, Artificial Intelligence, Information Retrieval, and Natural Language Processing. She actively contributes to the Lab Teaching Staff, integrating academic rigor with practical applications. Her research focuses on artificial intelligence, data mining, and robotics, with notable work on trust-based recommendation systems and fuzzy logic methodologies. Education: PhD in Computer Science (Kingston University, UK, 2017) MSc in Data Communication Automation Engineering (BSc) Research interests include Recommender Systems, Social Network Analysis, Knowledge Management, and Robotics. Her work bridges machine learning techniques with real-world applications in education and energy systems. Recent publications explore trust models, deep learning for electric load forecasting, and policy development in maritime education using fuzzy cognitive maps. Her teaching spans over two decades, emphasizing both theoretical foundations and hands-on experience in informatics disciplines. Professional contributions are documented in her CV and personal website.

Paris MastorocostasView profile

Professor

• Machine Learning
• Signal Processing
• Computational Intelligence
• +7 more

Paris Mastorocostas is a Professor at the University of West Attica, specializing in computational intelligence, signal processing, and algorithmic data mining. His research focuses on neuro-fuzzy systems, deep learning applications, and their integration into domains like energy systems, transportation networks, and industrial automation. He has pioneered methodologies for short-term load forecasting, telecommunications fraud detection, and adaptive noise cancellation in medical signals. Key research themes include: Neuro-fuzzy modeling for dynamic systems Machine learning in energy and transportation Data warehouse development using Python/MySQL UAV-based inventory quantification Graph neural networks for urban metro flow His work demonstrates a strong interdisciplinary approach, combining algorithm design with practical industrial applications. Notable contributions include the ReNFuzz-LF model for electricity load forecasting and TMD-BERT for transportation mode detection. His publications span over 25 years, showing sustained innovation in computational intelligence techniques and their real-world implementation.

• Machine Learning
• Graph Algorithms
• Data Mining

Prof. Michalis Vazirgiannis is affiliated with Ecole Polytechnique, Institut Polytechnique de Paris, specializing in machine learning for graph-structured data. His research includes kernel methods and node embedding techniques for complex network analysis, with applications in knowledge representation and pattern recognition. Notable contributions focus on scalable algorithms for graph mining and theoretical foundations of representation learning. International collaborations emphasize computational methods for large-scale network data processing.

• OLAP and data warehousing
• data mining
• Sensor/P2P networks
• +8 more

Kotidis Ioannis serves as an Associate Professor in the Department of Informatics at the Athens University of Economics and Business (AUEB). His academic journey began with a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, followed by Master's and Ph.D. degrees from the University of Maryland. His research focuses on several critical areas of database systems and data management, including On Line Analytical Processing (OLAP) and data warehousing, data mining, Sensor/P2P networks, mobile data management, data fusion & dissemination, data streams, RFID data management, approximate query answering, ranking, and database preservation and integration. His work bridges theoretical database concepts with practical applications in emerging technologies. Professor Kotidis' publication record demonstrates consistent contributions to database research over two decades, with notable work in dynamic view management, stream processing, sensor network data management, and more recently, blockchain-based OLAP view management and complex event processing. His research has evolved from traditional data warehousing to address challenges in modern data-intensive applications. best paper award at ACM SIGMOD International Conference on Management of Data for DynaMat paper Throughout his career, Professor Kotidis has supervised numerous students on projects related to database systems, including work on complex event processing, decentralized OLAP view management using blockchains, and graph similarity learning. His research projects include DeLorean (time-series management), RECOST (complex stream management), DBSENSE (wireless sensor networks), and INFORE (extreme-scale analytics). His laboratory work focuses on creating efficient, scalable solutions for data management challenges across various domains, with particular emphasis on making advanced data processing techniques accessible and practical for real-world applications.

• Machine Learning
• Pattern Recognition
• Speech Recognition
• +3 more

Prof. Vassilis Digalakis is a Professor at the Technical University of Crete in the Department of Electronic and Computer Engineering, part of the School of Electrical and Computer Engineering. He holds a Ph.D. in Electrical and Systems Engineering from Boston University and has extensive experience in academia, industry, and public service. His roles include former Rector of the Technical University of Crete (2013-2017) and Deputy Minister of Education and Religious Affairs (2020-2021). Education: Ph.D. in Electrical and Systems Engineering, Boston University (1992) M.Sc. in Electrical Engineering, Northeastern University (1988) B.Sc. in Electrical Engineering, National Technical University of Athens (1986) Research Interests: Prof. Digalakis specializes in machine learning, speech recognition, pattern recognition, and dialog systems. His work emphasizes developing advanced algorithms for speech processing, multimodal interfaces, and adaptive systems. Notable contributions include innovations in linear dynamical models for speech synthesis and robust pronunciation evaluation techniques. Awards and Recognition: He has received two IEEE Signal Processing Society Best Paper Awards (1999, 2000) and holds five patents related to speech recognition technologies. His leadership roles include Director of the Telecommunications Systems Institute (2005–2013) and Chair of the ECE Department (2003–2005). Professional Activities: He served as President of the Hellenic Universities Rectors’ Synod (2015) and later as Chairman of the Standing Committee on Cultural and Educational Affairs. His work extends to industry collaborations, including founding contributions to Nuance Communications and Dialogos Speech Communications. Labs and Projects: Associated with the Information and Networks Laboratory at TUC, his research focuses on cutting-edge solutions in telecommunications and AI-driven speech technologies.

Sakkopoulos EvangelosView profile

Associate Professor

• Personalized Software Technology
• Machine Learning
• Data Mining
• +9 more

Evangelos Sakkopoulos is an Associate Professor at the Department of Informatics, University of Piraeus. He holds a PhD from the Department of Mechanical Engineering and Informatics at the University of Patras. His research interests include personalized software technology, mobile programming, web systems, and their applications in education, healthcare, maritime safety, and legal informatics. He has over 60 international publications and actively participates in EU technical committees for internal affairs regulations. His teaching portfolio includes postgraduate courses on Software Technology and undergraduate programming subjects like Java. Education PhD in Mechanical Engineering and Informatics from the Patras University of Technology (University of Patras Polytechnic). Research Interests Evangelos focuses on interdisciplinary research in: AI-driven cultural e-learning (e.g., LYRICEL system for song lyrics analysis). Privacy-preserving data mining techniques, including frequent itemset hiding and database anonymization. Mobile and web-based systems for healthcare monitoring (Care@HOME), maritime surveillance (Mobile Data Fusion), and government services (Olympus architecture). Natural Language Processing for legislative documents and low-resource languages. Personalized identity management solutions and secure digital service frameworks. Articles Trends Recent publications emphasize AI in education, privacy-protecting data algorithms, and mobile/web systems for critical sectors like healthcare and maritime safety. His work addresses challenges in legal informatics, cultural preservation, and EU digital standardization. Awards No scientific awards explicitly mentioned in the provided texts. Advising & Grants Evangelos has collaborated in European and national research programs, including projects on: Ethnicity/naturalization process digitalization (Greek Citizenship Test). Healthcare personnel rostering solutions. Cultural artifact damage assessment systems (Data Engineering for Materials Identification). Labs & Teams He contributes to the MODIP Quality Assurance Unit and participates in research teams developing systems like HappyCruise for maritime safety and OLYMPUS for secure digital identity management.

Chrysafiadi KonstantinaView profile

Assistant Professor

• Fuzzy Logic
• Artificial Intelligence
• Educational Technology
• +5 more

Chrysafiadi Konstantina is an Assistant Professor in the Department of Informatics at the University of Piraeus's School of Information and Communication Technologies. Her work bridges fuzzy logic, artificial intelligence, and educational technology to develop adaptive systems for diverse applications. Research Interests: Her primary focus includes fuzzy logic-driven personalization, intelligent tutoring systems, and machine learning applications in education and safety. Key areas are: Design of adaptive educational games and e-learning platforms AI-enhanced cultural analysis using large language models Smart home safety systems with fuzzy-based emergency alerts Personalized recommendation engines for tourism and entertainment Publication Trends: Recent work (2023-2025) demonstrates extensive use of fuzzy logic combined with machine learning to create context-aware systems. Dominant themes include personalized education (e.g., programming tutors, adaptive quizzes), cultural heritage analysis (e.g., song/poem interpretation with GPT), and safety solutions (e.g., fire prevention in smart homes).

• Machine Learning
• Data Mining
• Evolutionary Computation
• +4 more

Sotiropoulos Dionisios is an Assistant Professor at the Department of Informatics, University of Piraeus. His research focuses on bio-inspired computing and machine learning methodologies, with a specific emphasis on social media analysis. He has held postdoctoral positions at the Athens University of Economics and Business (Department of Management Science and Technology) and serves as a visiting researcher at the Norwich Business School, University of East Anglia. He is a member of the SocioMine research group. Education: PhD in Informatics (2011), University of Piraeus; BSc in Informatics (2003), University of Piraeus His research spans Machine Learning , Data Mining , Evolutionary Computation , Signal Processing , and Intelligent Software Systems . Recent work explores hybrid AI architectures combining knowledge graphs and large language models for cultural analytics, boundary-aware classification, and transparent financial modeling using genetic programming. His publications reveal trends in applying machine learning to social media analytics, healthcare diagnostics, cryptocurrency trading, and cultural domains like music and political speech. Key methodologies include LSTM networks , artificial immune systems , BERT models , and reinforcement learning . As part of the SocioMine research group , he develops user modeling techniques for personalized recommendation systems and investigates opinion formation dynamics in social networks.

Ioannis MagnisalisView profile

Researcher

• eGovernment
• Open Data
• Linked Data
• +5 more

Dr. Ioannis Magnisalis serves as a Researcher and Academic Associate at the International Hellenic University, functioning as Research Associate and Manager within the DORG Research Group. He maintains active collaborations with the Greek Open Source Software Organization (EL/LAK), International University of Greece, and Aristotle University of Thessaloniki on e-Government R&D initiatives, while his primary professional focus remains with the European Commission's data strategy implementation. His research spans eGovernment , Open Data , Linked Data , Semantic Web , Business Semantic Standards , Metadata , Data Analysis , and e-Learning . Specializing in metadata frameworks and semantic technologies, he applies analytical tools (R, Python, SQL, NoSQL) to analyze large-scale survey data including Eurobarometer and Covid-19 datasets, with emphasis on developing interoperable standards (ESCO, CPSV, IMS, BPMN) for public sector data ecosystems. His 2020-2024 publications reveal consistent focus on digital transformation frameworks across public administration and education sectors, with recurring themes in data-centric service provision, government big data ecosystems, and AI applications. Key contributions include systematic reviews on digital transformation barriers and innovative frameworks like DaLiF for data lifecycle management, demonstrating strong interdisciplinary integration of semantic web technologies with practical governance challenges. As a core member of the DORG Research Group, he contributes to projects including JustReDi (addressing resilience and digital transition in Greek regions) and GR digiGOV-innoHUB (delivering digital skills education and transformation workshops), leveraging his expertise in IMAPS (Interoperability Maturity Assessment) for public service evaluation.