Short bio

Francesco Gullo is a researcher at UniCredit,, R&D department.
He received his Ph.D. from the University of Calabria (Italy) in January 2010.
During his Ph.D., in 2009, he was an intern at the George Mason University, Fairfax VA, USA.
From January 2010 to August 2011 he was a postdoctoral research fellow at the University of Calabria. Before joining UniCredit, he spent four years (from September 2011 to June 2015) in Barcelona, working at Yahoo Labs, first as a postdoctoral researcher, and, starting from September 2013, as a research scientist.

As a researcher, he has been used to working in both industrial and academic environments, and, as such, he likes to focus on both applied research and basic research.

His research interests fall into the broad area of data science, with special emphasis on data mining, machine learning, and databases.
His work is centered on real-world problems that require large-scale data processing, and he usually tackles such problems from a combinatorial-optimization and algorithmic perspectives.
Specifically, his current research is mainly devoted to graph analytics, graph mining and graph querying, as well as (social) Web mining, and NLP, while in the past he has also focused on data mining/machine learning for high-dimensional/multi-faceted data, uncertain/probabilistic data, spatio-temporal data, biological data, and XML.
His research has been published in premier venues such as SIGMOD, VLDB, KDD, ICDM, CIKM, EDBT, WSDM, ECML-PKDD, SDM, TODS, TKDE, TKDD, Machine Learning, DAMI, JCSS, Pattern Recognition.

He has also been active in serving the data-mining/databases scientific community, by, e.g., being Workshop Chair of ICDM`16, organizing workshops/symposia (MIDAS @ECML-PKDD[`16,`17,`18], MultiClust 2014 mini-symposium @SDM`14, 4th MultiClust workshop @KDD`13, 3Clust workshop @PAKDD`12), or being part of the program committee of major conferences (KDD, WWW, ICDM, WSDM, ECML-PKDD, CIKM, ICWSM, SDM).