Online fleet monitoring with scalable event recognition and forecasting

Ntoulias E., Alevizos E., Artikis A., Akasiadis C., Koumparos A. - GeoInformatica - 2022


Moving object monitoring is becoming essential for companies and organizations that need to manage thousands or even millions of commercial vehicles or vessels, detect dangerous situations (e.g., collisions or malfunctions) and optimize their behavior. It is a task that must be executed in real-time, re- porting any such situations or...

SheerMP: Optimized Streaming Analytics-as-a-Service over Multi-site and Multi-platform Settings

George Stamatakis, Antonios Kontaxakis, Alkis Simitsis, Nikos Giatrakos, Antonios Deligiannakis - Proceedings of the 25th International Conference on Extending Database Technology (Demo paper) - EDBT (online conference) 2022


Analytics are in the core of many emerging applications and can greatly benefit from the abundance of data and the progress in the processing capabilities of modern hardware. Still, new challenges arise with the extreme complexity of deciding how to execute analytics workflows given the plethora of choices of various...

Parallel Model Exploration for Tumor Treatment Simulations

Akasiadis C., Ponce de Leon M., Montagud A., Michelioudakis E., Atsidakou A., Alevizos E., Artikis A., Valencia A., Paliouras G., - Computational Intelligence - Computational Intelligence, 2022


Computational systems and methods are often being used in biological research, including the understanding of cancer and the development of treatments. Simulations of tumor growth and its response to different drugs are of particular importance, but also challenging complexity. The main challenges are first to calibrate the simulators so as...

Incremental Event Calculus for Run-Time Reasoning

Tsilionis E., Artikis A., Paliouras G. - Journal of Artificial Intelligence Research - JAIR 2022


We present a system for online, incremental composite event recognition. In streaming environments, the usual case is for data to arrive with a (variable) delay from, and to be revised by, the underlying sources. We propose RTECinc, an incremental version of RTEC, a composite event recognition engine with formal, declarative...

Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data

Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Emmanouil Ntoulias, Elias Alevizos, Alexander Artikis, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, Ralf Klinkenberg - IEEE International Conference on Big Data 2021 - IEEE BigData (online conference) 2021


We present a Maritime Situational Awareness (MSA) framework for detecting and forecasting maritime events (e.g., illegal fishing) over streams of Big maritime Data. The architecture of the MSA framework relies on the following state-of-the-art components: (i) the Maritime Event Detector which uses data-driven distributed techniques deployed on a computer cluster...

This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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