Abstract: The Maestro telemetry system predicts forest fire risk based on geolocated weather data collected by sensor nodes. Sensor nodes provide a low-cost solution to reliably monitor the microclimate of forested areas and to correlate the current conditions with possible prolonged drought. In case of fire, nodes fall into emergency mode by transmitting more frequent measurements to support real-time prediction of how the fire spreads, for effectively managing the available firefighting forces and for implementing appropriate population evacuation plans.
Lecturer Short CV: Prof. Panagiotis Katsaros received the bachelor’s degree in mathematics from the Aristotle University of Thessaloniki (AUTh), Greece, the Master of Science degree in software engineering from Aston University, Birmingham, and the Ph.D. degree in computer science from AUTh. He is an Associate Professor with the School of Informatics, AUTh. He has published over 100 research papers in international journals and conference proceedings on software engineering. His research interests include the formal verification of software/systems, the model-based design, the analysis of dependability and security, and the simulation-based performance analysis and optimisation. He is a coordinator (or participates) in national and European research and development projects focusing on engineering of software for the Internet of Things systems, space systems, and more recently autonomous systems. Regular updates on his recent research achievements can be accessed online at https://depend.csd.auth.gr