MERCORIO FABIO

Ruolo: 
Ricercatore a tempo determinato
Settore scientifico disciplinare: 
INFORMATICA (INF/01)
Telefono: 
0264482170
Stanza: 
U07, Piano: P02, Stanza: 2049
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO

Biografia

Fabio Mercorio is Assistant Professor of Computer Science at University of Milan-Bicocca, dept. of Statistics and Quantitative Methods. He holds a PhD in Computer Science and Application in 2012 at the University of L’Aquila, Italy. Since 2011 he has been research fellow at CRISP research centre. His research interests include Artificial Intelligence and Knowledge Discovery. His main contribution is in the design and development of an automated algorithm for performing Data Quality Analysis and Cleansing tasks through model-checking. On the AI Planning side, he contributed as co-designer and co-developer of UPMurphi, the state-of-the-art planner for hybrid systems specified through the PDDL+ language. He collaborated in the realisation of DiNo, an heuristic planner based on UPMurphi developed by the AI Planning Group at King’s College London. As member of the CRISP research team, he has been involved in many national and International research projects related to AI and Big Data for supporting the decision making activities. Since 2017 he servers a Associate Editor of AICom Journal, the European Journal of AI.

Ricerca

** EDUCATION **
2008: Master Degree in Computer Science at the University of L’Aquila, Italy (summa cum laude)
2012: PhD in Computer Science and Applications at the University of L’Aquila, Italy. 

** EMPLOYMENT HISTORY **
2016 - present: He is Assistant Professor in Computer science at the University of Milan-Bicocca. 
2011 - present: He has an active research collaboration with CRISP research centre at University of Milan-Bicocca. 
2011-2016: He was Post-Doc in Computer Science at University of Milan-Bicocca, Dept. of Statistics and Quantitative Methods
2015-2016:  He was Visiting Researcher at King’s College London, dept. of Computer Science, working on topics related to Artificial Intelligence Planning. 

** RESEARCH **  
His research interests include Artificial Intelligence (AI) Algorithms, Graph Databases, Data Quality/Cleansing, and Knowledge Discovery. He has published 50+ papers on these topics on some top-tier conferences and journals in AI. On March 2018 he received the National Scientific Qualification for the position of  Associate Professor in Computer Science.

** PROFESSIONAL SERVICES IN ACADEMIA ** 
He is leading Associate Editor of the “AICom” Journal, the European Journal of Artificial Intelligence for the Data Science Track, and member of several programme committees in top-tier conferences on AI, such as AAAI, IJCAI, ECAI. He also serves a reviewer for top-tier Scientific Journals in Computer Science, such as 
Knowledge-Based Systems - Elsevier ;  Applied Soft Computing - Elsevier ; AI Communications ; Future Generation Computer Systems - Elsevier.

** RESEARCH INTERNATIONAL COLLABORATIONS ** 
He established some fruitful research collaborations with the following organisations/centres/research teams
– Member of the CINI ITEM Carlo Savy for Computer Science and Multimedia ICT systems (https://www.consorzio-cini.it/index.php/it/lab-item-carlo-savy (Since 2015 to present)
– L’Aquila Model Checking and Planning Group, University of L’Aquila, headed by Prof. Giuseppe Della Penna (Since 2009 to present)
– CRISP Research Centre, University of Milan-Bicocca, headed by Prof. Mario Mezzanzanica (Since 2010 to present)
– AI Planning Group, King’s College London, headed by Prof. Daniele Magazzeni (Since 2014 to present)
– The Big Data Group - The European Network on Regional Labour Market Monitoring (Since 2015 to present)

** RESEARCH SOFTWARES DEVELOPED ** 
- He is currently co-developer of some open-source AI-based tools, such as UPMurphi, DiNo and GraphDBLP (all of them available on Github at http://github.com/fabiomercorio/)

** PROJECTS **

INTERNATIONAL PROJECTS (selection): He has been involved in the following international research projects as senior researcher, working on topics related to AI, Knowledge Discovery and Data Science:
- 2014: Real-time Labour market information on skill requirements granted by Cedefop (European Centre for Development of Vocational Training - http://www.cedefop.europa.eu/) - Call 2014/S 141-252026 of 15/07/2014(Rif. Contratto No 2014-0190/AO/RPA/VKVET-NSOFRO/Real-time LMI/010/14) 
- 2017: Development of an Open Data based system for vocational training granted by UniMib and Lombardy Region - ACCORDO DI COLLABORAZIONE EX ART. 15 DELLA L. 241/1990 IN TEMA DI OPEN DATA (Rif. Contratto DRG del 02/08/2016 n 5521 CUP H42F16001420002Rif. Interno Unimib 2016-naz-0141). 
- 2016: Real-time Labour Market information on Skill Requirements: Setting up the EU system for online vacancy analysis granted by Cedefop (European Centre for Development of Vocational Trainig) - Contract notice – 2016/S 134-240996. 
- 2011-2014: Development of the Observatory of the Lombardy Labour Market, granted by Lombardy Region. 

** AWARDS ** 
-- 2018: National Scientific Qualification for the position of Associate Professor in Computer Science, ANVUR
-- 2017: FFABR Grants for research productivity provided by Italian Ministry of research “Finanziamento annuale individuale delle attività base di ricerca” [Grants provided on a competitive basis aimed at funding research activities]
-- 2013: Best paper award at the Third International Workshop, Human Computer Interaction - Knowledge Discovery 1-3 Luglio, Maribor, Slovenia, 2013
-- 2014: Best paper award at the Third International Conference on Data Technologies and Applications, Vienna, Austria, 29-31, 2014

** PUBLICATIONS ** 
He co-authored 50+ international research papers as conference proceedings, articles and book chapters (here a full list https://goo.gl/LbGyua).

Pubblicazioni

  • Della Penna, G., Magazzeni, D., Mercorio, F., & Intrigila, B. (2009). UPMurphi: a Tool for Universal Planning on PDDL+ Problems. In Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS 2009) (pp.106-113). AAAI Press. Dettaglio
  • Mezzanzanica, M., Boselli, R., Cesarini, M., & Mercorio, F. (2015). A model-based evaluation of data quality activities in KDD. INFORMATION PROCESSING & MANAGEMENT, 51(2), 144-166. Dettaglio
  • Boselli, R., Cesarini, M., Mercorio, F., & Mezzanzanica, M. (2017). Using Machine Learning for Labour Market Intelligence. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III (pp.1-13). Dettaglio
  • Boselli, R., Cesarini, M., Mercorio, F., & Mezzanzanica, M. (2017). An AI Planning System for Data Cleaning. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III (pp.349-353). Dettaglio
  • Piotrowski, W., Fox, M., Long, D., Magazzeni, D., & Mercorio, F. (2016). Heuristic Planning for PDDL+ Domains. In Proceeding of 25th International Joint Conference on Artificial Intelligence (pp.3213-3219). Palo Alto : AAAI Press. Dettaglio