Department of Information Engineering (DII)
Università degli Studi di Brescia
Via Branze, 38 25123 Brescia - Italy
email: massimiliano.garda@unibs.it
publications: IRIS - DBLP - Google Scholar - Scopus
ORCID: 0009-0006-5823-6595
Massimiliano Garda received his PhD in Information Engineering from the University of Brescia in 2021, with a dissertation on data exploration techniques for (semantic) Data Lakes. His research focuses on Big data streams exploration for Smart Cities and Smart Manufacturing contexts (also with the support of Semantic Web technologies), blockchain integration and interoperability techniques (for instance, in supply chains, to pursue cost-effectiveness goals), LLM-based approaches for service discovery and service-oriented architectures for Industry 4.0 and 5.0.
He contributed to regional (Smart4CPPS, FISVAL, MoSoRe, DS4BS) and national (PNRR MICS) projects. He is currently a researcher (Italian RTD-A) in the Databases, Information Systems, and Web (DBWIS) group at the Department of Information Engineering, University of Brescia, and his position is funded by the PNRR MICS Extended Partnership. Within MICS, he is currently working on the project “Digital Thread for Smart Products in Service-Oriented Supply Chains”.
He co-organized the 1st Workshop on Large Language Models for Service-Oriented Architectures (LLM-SOA, co-located with CAiSE 2025). He has served as a PC Co-chair of LLM-SOA@CAiSE2025, PC member of CoopIS 2025, CIKM 2025, IEEE CAI 2025, WEBIST (2023–2025) and as external reviewer for CIKM (2018, 2020, 2021), CAiSE (2019, 2020, 2023), IEEE ICWS (2018, 2019, 2025), IEEE ICIOT 2018, WISE 2019. He is a reviewer for international journals including World Wide Web Journal, Data & Knowledge Engineering, Journal of Industrial Information Integration, International Journal of Cooperative Information Systems, Information Processing & Management.
Big data streams exploration for Smart Cities and Smart Manufacturing contexts
Semantics-enabled Data Lakes exploration
LLM-based solutions for service discovery
Service-oriented architectures for Industry 4.0 and 5.0
Blockchain integration and interoperability
An extended version of the Curriculum Vitae can be found here.