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Outstanding Paper Award in Artificial Intelligence for Social Impact (AAAI-20)

Our paper entitled “A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning” was selected in the Artificial Intelligence for Social Impact track at AAAI-20. This work addresses the challenges of characterizing earthquake and issuing broadcast alerts in a matter of seconds by relying on an effective use of scientific instruments and large-scale detection. As … Read More

Two papers accepted at CCGrid2020

Two papers accepted at the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid2020, rank A) next May in Melbourne. “Enhancing microservices architectures using data-driven discovery and QoS guarantees”. This work proposes a service discovery framework using a data-centric approach while ensuring performance guarantees for microservices. First publication of Zeina Houmani, my very … Read More

Article accepted at AAAI20 on Distributed Machine learning at the Edge

Our article “A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning” has been accepted at AAAI20, the 34th Conference on Artificial Intelligence. This paper introduces the Distributed Multi-Sensor Earthquake Early Warning (DMSEEW) system, a novel machine learning-based approach that combines data from GPS stations and seismometers to detect medium and large earthquakes. Preprint is … Read More