Alessandro Moschitti is a tenure professor of the Computer Science Department of the University of Trento. In 2003, he obtained his PhD in Computer Science at the University of Rome. He has worked as an associate researcher for the University of Texas at Dallas, as a visiting professor for the Universities of Columbia (NY), Colorado and JHU and as visiting researcher for the IBM Watson, NY (since 2009 also participating at the Jeopardy challenge). His expertise concerns theoretical and applied machine learning (ML) in the areas of NLP, IR and Data Mining. He has devised innovative kernels within support vector and other kernel-based machines for advanced syntactic/semantic processing. He is author or co-author of about 200 scientific articles published in major venues, e.g., ACL, SIGIR, ICDM, ICML, CIKM, ECML, EMNLP, IJCAI, etc., and journals, e.g., Computational Linguistics, IPM, DMKD, IS-IEEE, TASL-IEEE, etc.. He has been serving for important conferences, EMNLP, ACL, EACL, ECML PKDD, CoNLL, in several roles (General Chair, Sponsorship, Tutorial, Workshop co-chair and area co-chair for ACL (both semantics and ML tracks), IJCNLP (semantics), ECML PKDD (machine learning), IJCAI (NLP). Additionally, he is currently on the editorial board of JAIR, JNLE and JoDS. He has participated in seven EU and USA projects, e.g., LivingKnowledge, PrestoSpace, NAMIC, coordinated the entire consortium of the EU project, EternalS, and he currently is a partner coordinator of the LiMoSINe EU project. He has received three IBM Faculty Awards, one Google Faculty Award and several best paper awards (e.g., at ECML PKDD).
