MI MAURO IACONOIT ↗

PUBLICATIONS / A THEMATIC MAP

A research journey
in dialogue with problems.

Around 170 contributions across journal articles, conference proceedings, book chapters, edited volumes, reports, and teaching materials. Rather than a list, this page offers a map of themes that have evolved and intersected over time.

From the foundations of systems modelling to contemporary questions of privacy, AI, and governance.

This selection highlights different lines of work, with examples across disciplines and years. The themes are not isolated: modelling, performance, and dependability methods recur in research on cloud computing, security, and applications.

DOI links open publisher pages on request. References are concise; the full bibliography can be maintained separately from the CV.

01 / MODELS, PERFORMANCE, DEPENDABILITY

Understanding system behaviour

Multi-formalism modelling and quantitative analysis are foundational strands: composable formalisms, performance evaluation, critical systems, and simulation.

02 / CLOUD, HPC, BIG DATA, IOT

Performance in distributed infrastructure

From parallel and high-performance computing to cloud services and big-data architectures, a recurring question is how to model and improve performance and scalability.

03 / PRIVACY, SECURITY, GOVERNANCE

Building safeguards into design

A more recent strand connects architecture, data lifecycles, security, and responsibility, with a focus on assessing design choices early.

04 / EXPLAINABLE AI AND APPLICATIONS

Interpreting data in the real world

Collaboration across computer science, process engineering, and environmental science brings explainable-AI methods to real data and operational problems.

05 / COMMUNITY, VOLUMES, SHARED RESULTS

Building tools and communities

Alongside articles, the record includes international conference contributions, technical reports, and editorial work in the modelling and performance-engineering community.

A MAP, NOT A CATALOGUE

The selection reveals
connections and continuity.

The page includes foundational strands and recent developments: quantitative modelling, cloud and HPC, privacy and security, explainable AI, interdisciplinary applications, and contributions to the research community. These are representative works, not an exhaustive bibliography.

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