My scientific production
Designing Interoperable Systems: Physical Internet, AI, and Infrastructure Governance
My research lies at the intersection of Business and Management Engineering (IEGE-01/A) and Information Processing Systems (IINF-05/A), but my objective is not simply to contribute to these fields: it is to redefine how we interpret and design contemporary complex systems.
The starting point is the Physical Internet. I do not consider it merely a logistics paradigm, but rather an epistemological architecture for understanding and governing the transformation of supply chains and, more broadly, economic infrastructures. The Physical Internet enables the transition beyond closed and fragmented models, introducing logics of interoperability, modularity, and distributed orchestration.
Building on this foundation, my research has progressively evolved toward the development of AI-enabled decision architectures. In this context, artificial intelligence is not an auxiliary technology, but a structural component of decision-making systems. The focus is on highly complex and critical environments — European logistics corridors, strategic infrastructures, and military mobility — where resilience, security, and predictive capabilities become necessary, rather than optional.
A second fundamental axis concerns the governance of socio-technical systems, with particular reference to sustainable food systems. Here, the challenge is not technological but institutional: how to design decision-making models in which data, algorithms, and human actors coexist coherently, ensuring transparency, accountability, and sustainability.
In parallel, I investigate the evolution of organizations toward cognitive enterprise models, in which the boundary between human and algorithmic decision-making becomes increasingly blurred. This entails a profound redefinition of organizational culture, competencies, and governance models.
My work develops along a precise trajectory:
from the Physical Internet to digital architectures, from AI to governance, and ultimately to cognitive decision systems.
This is not a linear path, but a progressive construction of an integrated framework to understand and design the digital transformation of complex systems.
Objective
TrackOne: Smart Logistics for a Sustainable and Interoperable Agricultural Supply Chain in the Era of Digitization
Abstract
Enhance studentwell-being and digital literacy with machine learning and spatial analysis
Abstract
AI-Driven Financial Risk Prevention: The Role of HR Analytics in Corporate Crisis Management under Industry 5.0
Abstract