About us
Complex Data for Complex Systems
The focus of AI research is often placed on architecture, despite mounting evidence that accurately managing training data is just as important. We aim to bridge this gap between AI systems and what they learn from.
Who we are
A research group at the intersection of data and intelligence
Our work spans data management, distributed systems, data science, and AI, with a strong focus on real-world complexity and practical impact.
For years, our research has focused on the management of complex and multifaceted information, ranging from unstructured text to semi-structured, graph-based, and streaming data. We design methodologies and tools that support efficient and effective management of non-conventional data across many application domains, from distributed systems to large-scale stream processing.
As artificial intelligence continues to reshape computer science, we have extended this expertise toward the systematic engineering of data for AI systems, combining methodological rigor with strong attention to scalability, interpretability, and real-world deployment.
History and Location
The Information Systems Group (ISGroup) was established in 2001 by Prof. Paolo Tiberio and is currently part of the Department of Physics, Informatics and Mathematics (FIM) at the University of Modena and Reggio Emilia.
Research directions
From data management to trustworthy AI
Three complementary directions shape our current research agenda, all focusing on how data shapes AI and Information Systems architecture.
Systems
Scalable and Distributed Learning
High-performance distributed solutions for support efficient learning pipelines and workflows, preserving privacy and scalability.
Data
Complex Information Management
Methodologies for handling unstructured, semi-structured, graph-based, and streaming data in demanding environments.
Models
Transparent and Data-Centric Models
Research on trustworthy AI systems that place data quality, interpretability, and reliability at the center of model design.
Get in touch
Collaborations and Contacts
Our research contributes to areas such as healthcare, smart manufacturing, and natural language processing, supporting actionable insights and impactful applications.
Institutions can visit our Projects to see ongoing initiatives, or our Research to explore if any of them align to their needs.
Students can feel free to check out our Theses & Trainships page for opportunities to work alongside our group and its partners