Stefano Mariani's (Academic) Curriculum Vitae

Personal Info

Name: Stefano Mariani
Place & Date of Birth: Forlì (FC), Italy, 12/03/1987
Office address 1: Room 5, 2nd floor, Via Sacchi, 3 - 47521, Cesena (FC) Italy
Office address 2: APICe Lab, Via Venezia, 52 - 47521, Cesena (FC) Italy
Personal Web Page: stefanomariani.apice.unibo.it
E-mail: s.mariani@unibo.it

Summary

After working as a research collaborator with a grant funded by the EU-FP7 SAPERE Project, I am now a Ph.D. student at the Doctoral School in Computer Science and Engineering of the Alma Mater Studiorum – Università di Bologna, Italy. In the last two years, I worked as a Lecturer at the Alma Mater for the courses of "Concurrent and Distributed Programming" and "Distributed Systems". My research interests mostly deal with coordination models and technologies, self-organisation and formal models, where I have already published several papers at international conferences. I am currently responsible for the maintenance and development of the TuCSoN coordination middleware.

Qualifications

Ph.D. student (3-years grant starting from January 1st 2012) in Computer Science at the Doctoral School in Computer Science and Engineering offered by the Alma Mater Studiorum – Universita` di Bologna.
Research collaborator in the same Faculty from April 2012 to December 2012, with annual grant partially funded by the SAPERE Project (supervisors: Professors Mirko Viroli and Andrea Omicini)
Lecturer in the same Faculty for the Laurea Magistralis course in Concurrent and Distributed Programming, held by Professor Alessandro Ricci
Lecturer in the same Faculty for the Laurea Magistralis course in Distributed Systems, held by Professor Andrea Omicini
Master Degree in Computer Science Engineering earned at the II Faculty of Engineering of Cesena, Alma Mater Studiorum – Università di Bologna with the grade of 107 out of 110 and fulfilling the regular Master Degree deadline of 5 years (enrolled in September 2006, graduated in December 2011). Dissertation title was Molecules of knowledge: a new approach to knowledge production, management and consumption, in which I discuss a self-organising approach based upon biochemical tuple spaces coordination abstraction as a solution to nowadays issues regarding knowledge-intensive scenarios, with a focus over news management systems.

Full CV

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