Riccardo Zese
Professore Associato
Emilia-Romagna, Italy
Summary
👤
Senior🎓
Top SchoolRiccardo Zese is an associate professor and researcher in computer engineering at the University of Ferrara with over a decade of experience in automatic reasoning and learning of probabilistic ontologies from linked data. He combines strong academic credentials (PhD and top-graded degrees) with deep hands-on software skills across Java, C/C++, Ruby/Rails, PHP, and modeling languages like OWL/RDF, bridging theory and practical systems. His work spans teaching, PhD supervision, and postdoctoral research while maintaining broad competence in systems, databases, networking, and web technologies. Notably, he pairs formal methods expertise with pragmatic tooling fluency—TeX mastery, OpenGL familiarity, and ECDL certification—enabling clear research communication and reproducible experimentation. Based in Emilia-Romagna, he brings a rare mix of deductive AI knowledge and full-stack engineering that accelerates linked-data and semantic web applications.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Scienze dell'Ingegneria, Doctor of Philosophy (PhD), Scienze dell'Ingegneria at Università degli Studi di Ferrara
English
Github Skills (37)
reasoner10
mud10
ontology10
prolog-programming-language10
agi10
owl-api10
prolog10
description-logics10
web-ide9
logic-programming9
inductive-logic-programming9
keras9
xwiki9
neural-architecture-search9
logic9
Programming languages (5)
Github contributions (5)
rzese/trill
Feb 2019 - Nov 2022
TRILL is a tableau reasoner able to compute probability of queries from probabilistic knowledge bases.
Contributions:28 releases, 183 commits, 1 PR in 3 years 9 months
reasonerprobabilistic-knowledge-basestableau-reasonerprologdescription-logics
friguzzi/trill_on_swish
Jan 2015 - Apr 2019
Contributions:97 commits, 100 pushes, 2 branches in 4 years 3 months
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