Scholar
Alexander Artikis
Google Scholar ID: grQumKcAAAAJ
Professor of AI, University of Piraeus; NCSR Demokritos
Citations & Impact
Citations
1,902
H-index
23
i10-index
47
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 1. Patent: System and method for forecasting complex events. Inventors: Alevizos E, Ntoulias E, Artikis A, Paliouras G. Date of publication: 4/12/2024.
- 2. Selected Recent Publications:
- - Reasoning over Streams of Events with Delayed Effects, published in the Journal of Artificial Intelligence Research (JAIR).
- - A Tensor-Based Probabilistic Event Calculus, published in the International Conference on Principles of Knowledge Representation and Reasoning (KR).
- - Sequencing in the Run-Time Event Calculus, published in the European Conference on Artificial Intelligence (ECAI).
- - Temporal Specification Optimisation for the Event Calculus, published in the AAAI Conference on Artificial Intelligence (AAAI).
Research Experience
- 1. ENEXA: An H2020 HUMAN project aiming at developing scalable, transparent, and explainable machine learning algorithms for knowledge graphs.
- 2. EVENFLOW: An H2020 HUMAN project aiming at developing hybrid learning techniques for complex event forecasting, combining deep learning with logic-based learning and reasoning into neuro-symbolic forecasting models.
- 3. CREXDATA: An H2020 DATA project whose vision is to develop a generic platform for real-time critical situation management, including flexible action planning and agile decision making over streaming data of extreme scale and complexity, using federated predictive analytics and forecasting under uncertainty algorithms.
- 4. VesselAI: Aims at realizing a holistic, AI-empowered framework for simulating and predicting vessel behavior and maneuvering, ship energy design optimization, autonomous shipping, and fleet intelligence.
- 5. ARIADNE: A H2020 project bringing together a novel high-frequency radio architecture and an Artificial Intelligence network processing and management approach, in order to allow for continuous reliable High Bandwidth connections in the Beyond 5G era.
- 6. INFORE: A H2020 project that aims to address the challenges posed by huge datasets and pave the way for real-time, interactive, extreme-scale analytics and forecasting.
- 7. Track & Know: A H2020 project with a mission to research, develop, and exploit a new software framework for increasing the efficiency of Big Data applications in the transport, mobility, motor insurance, and health sectors.
- 8. datACRON: A H2020 project that introduced novel methods for detecting threats and abnormal activity in very large numbers of moving entities, operating in large geographic areas.
- 9. SPEEDD: A FP7 European project that developed a prototype for proactive event-driven decision-making: decisions were triggered by forecasting events—whether they correspond to problems or opportunities—instead of reacting to them once they happen.
Background
- Research Interests: Artificial Intelligence, Distributed Systems; Professional Field: Complex Event Recognition and (Norm-Governed) Multi-Agent Systems; Brief Introduction: Professor at the University of Piraeus, Research Associate at the National Centre for Scientific Research (NCSR) "Demokritos", leading the Complex Event Recognition group.
Co-authors