A Data Science Lab (25 pe) with expertise in Big Data Analytics, Machine Learning, ICT for Geospatial Data, Predictive methods for environmental data.
Focus on novel applications of Deep Learning from complex data: e.g. imaging and portable Spectroscopy in industry processes; nowcasting on time-spatial data.
Practical skills in developing powerful Data Analytics Infrastructures for interdisciplinary research and projects with industry and administration
Rapid deployment on cloud of Dashboard-based scientific computing and analytics; capability for data collection and modeling through personalized IoT and sensor data analytics.
to explore by efficient search and optimization the complex data (e.g. generative models from “data lakes” of rich big data repositories)
to explore and compare patterns, features, relationships (networks).
(e.g: automatic detection of anomalies and criticalities, new tools for visualizing in latent space high dimensional data from multiple sources)