Ada Bagozi

Department of Information Engineering (DII)

Università degli Studi di Brescia

Via Branze, 38 25123 Brescia - Italy

publications: IRIS - DBLP

Short biography

Ada Bagozi received her PhD in Information Engineering from the University of Brescia in 2021, with a dissertation on methods and techniques for Big Data exploration in dynamic industrial contexts.

Her research focuses on Big Data Analytics and conceptual and multi-perspective data modelling for Cyber-Physical Production Systems and complex application domains such as Industry 4.0, healthcare, and agri-food supply chains, also leveraging Semantic Web technologies and ontology-driven architectures.

From January 2022 to April 2025, she held a position as an Italian RTD-A at the University of Brescia within the project “Efficiency, Agility, and Security in Data-Driven Agri-Food Supply Chains”, where she investigated the integration of Blockchain, smart contracts, and data-driven analytics to enhance food traceability, trust, and sustainability.

She is currently a Research Fellow in the Databases and Web Information Systems (DBWIS) group at the Department of Information Engineering, University of Brescia, working on ontology-enhanced Retrieval-Augmented Generation (RAG) and LLM-based advisory systems for personalised and sensory-aware food recommendation.

She has published in leading international journals such as Information Sciences, Future Generation Computer Systems, Data Science and Engineering and Journal of Industrial Information Integration, and has presented her work at major conferences including CAiSE, WISE, CoopIS and IEEE ICWS.
She co-organized the 1st Workshop on Large Language Models for Service-Oriented Architectures and Systems Design (LLM-SOA, co-located with CAiSE 2025), and serves the research community as a Program Committee member of ICEIS (2022–2024), SEBD (since 2024), and CoopIS (since 2025), and as external reviewer for CAiSE, WISE, CIKM, and ICWS.

Research interests

Big Data exploration and analytics in Industry 4.0 and Cyber-Physical Systems
Conceptual and multi-perspective data modelling
Blockchain and smart contracts for trust and traceability in supply chains
Ontology-enhanced RAG and LLM-based recommender and advisory systems
Personalised and sustainable food recommendation with sensory-aware perspectives

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