Artikis Alexandros

Alexander Artikis is an Associate Professor at the University of Piraeus, and a Research Associate at NCSR “Demokritos” where he leads the Complex Event Recognition team. He holds a PhD in Distributed Artificial intelligence from Imperial College London. Prof. Artikis has more than 100 publications in artificial intelligence and data science journals and conferences, while according to google scholar his h-index is 36.

Complex event recognition and forecasting

Complex Event Recognition systems have become popular in the past two decades due to their ability to “instantly” detect patterns on high-velocity streams of events. These systems have many applications. For example, in the maritime sector illegal or dangerous ship behaviors are discovered from sensor data describing the course of those ships. Moreover, in the sciences, complex event recognition systems can discover effective drug combinations from cancer cell simulations, thus facilitating and accelerating the work of scientists. In this talk we will present two representative systems of recognition and forecasting of complex events, which have been developed using mathematical logic and automata theory. In addition, we will show the application of these systems in real applications.

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