Michele Berlingerio is Research Scientist at IBM Research Ireland since 2011.
Prior to this, he was a post-doctoral researcher at the KDDLab of the CNR (National Research Council) in Pisa, Italy, and visiting post-doc at Rutgers University, New Brunswick, USA.
His background is in Data Mining, with focus on Graph Mining, Complex Network Analysis, and Social Media Analytics. Working on an industrial setting, he focuses on applying his research in scenarios like online social networks, multimodal transportation networks, urban dynamics contexts, and so on. He is involved in projects involving aspects from Big Data analytics to optimisation and planning, driving descriptive, predictive, and prescriptive analytics within real-world use cases.
He is currently Principal Investigator for IBM Research Ireland for the PETRA FP7 project, aimed at developing a platform supporting a PErsonal TRansport Advisor, powered by individual and collective human mobility mining, multimodal planning under uncertainty, and dynamic tourism activity planning.
His academic and industrial research results include around 40 peer-reviewed publications in venues from the Data Mining and Transportation areas, 7 patent applications filed, contribution to several research prototypes demonstrated on client-provided real data, and several awards from IBM or external parties.
His profile includes also the co-organization of four workshops co-located to ECML-PKDD (ACNE and NEMO), ICDE (DAMASCA 2015), and EDBT (DAMASCA 2016), reviewing for several venues like SIGKDD, ECML-PKDD, CIKM, ICDM, WWW, and several journals in Data Mining, and mentoring and advising about 10 students for internships or master theses.