Agostino CORTESI

Position
Full Professor
Roles
Substitute member of the Commission provided for by the "Code of conduct for the prevention of harassment and its fight"
Rector's Delegate for Research Quality Assessment
Deputy Coordinator of the Scientific Committee of the "Temporary Centre for the Innovation Ecosystem Project"
Telephone
041 234 8450
E-mail
cortesi@unive.it
Scientific sector (SSD)
Informatica [INFO-01/A]
Website
www.unive.it/people/cortesi (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office Z.B04 (Zeta B building)
Office
Interconnected Nord-Est Innovation Ecosystem - Temporary Project Centre
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity
Research Institute
Research Institute for Innovation Management

Perez Gort M.L.; Cortesi A. A qualitative and quantitative comparative study of VPK schemes for relational data watermarking in INFORMATION SCIENCES, vol. 743 (ISSN 0020-0255)
DOI 2026, Journal Article - ARCA card: 10278/5115080


Perez Gort Maikel.; Cortesi Agostino Earth observation data provenance protection through self-recalibrated watermarking in GEOINFORMATICA, vol. 30 (ISSN 1384-6175)
DOI 2026, Journal Article - ARCA card: 10278/5115079


Roy, Mandira; Deb, Novarun; Cortesi, Agostino; Chaki, Rituparna; Chaki, Nabendu Multi-Robot system environmental constraint analysis by petri nets in SOFTWARE AND SYSTEMS MODELING, vol. to appear (ISSN 1619-1366)
DOI 2026, Journal Article - ARCA card: 10278/5115488


Dolcetti Greta.; Arceri Vincenzo; Mensi A.; Zaffanella E.; Urban C.; Cortesi Agostino. PYRA: A high-level linter for data science software in KNOWLEDGE-BASED SYSTEMS, vol. 337 (ISSN 0950-7051)
DOI 2026, Journal Article - ARCA card: 10278/5115081


Roy, Santanu; Raj, Saikat; Pramanik, Subhra; Tewari, Indrajit; Cortesi, Agostino; Sen, Soumya Towards Image-OLAP Integration: Leveraging Deep Learning Based Facial Emotion Classification for Advanced Image Data Warehousing , Applied Computing for Software and Smart Systems. ACSS 2025, Springer, vol. 1860, pp. 52-65, Convegno: International Symposium on Applied Computing for Software and Smart Systems (ISBN 9783032189844; 9783032189851) (ISSN 2367-3370)
DOI 2026, Article in Conference Proceedings - ARCA card: 10278/5115487