---
title: "Massimiliano de Leoni"
type: entity
tags: [author, professor, process-mining, ppm, padova, italy]
created: 2026-05-11
updated: 2026-05-11
---

# Massimiliano de Leoni

Professor in the Department of Mathematics at **Università degli Studi di Padova**, Italy. Active in the process-mining and predictive-process-monitoring research community since the late 2000s; collaborator with [[entities/wil-van-der-aalst]] (former post-doc at TU/e), [[entities/marlon-dumas]], and the next-generation Padova group including [[entities/alessandro-padella]].

## Affiliation

Università degli Studi di Padova — Department of Mathematics. Contact: `deleoni@math.unipd.it`.

## Work in this wiki

- [[sources/2026-padella-llm-features-ppm]] — *Exploring LLM Features in Predictive Process Monitoring for Small-Scale Event-Logs* (with Padella & Dumas, arXiv 2601.11468). Second author / supervisor of the Padova LLM-PPM line.

## Research themes

- Process mining (conformance, performance, data-aware variants).
- Predictive process monitoring — long-standing contributor, often via interpretable / data-aware methods.
- LLM-based PPM in data-scarce settings (current line).
- Fairness in predictive process analytics — cited as a referenced collaborator with Padella in earlier work (Berti et al. 2025 [3] in the 2026 paper).

## Network

- Co-authors with [[entities/marlon-dumas]] across the 2026 PPM line.
- Cited as a discussant / collaborator on process modeling with LLMs (Berti, de Leoni, Kourani, van der Aalst 2025 — ref [3] of [[sources/2026-padella-llm-features-ppm]]).
- Cited on reinforcement-learning-driven LLM process model specialisation (Berti, Wang, Kourani, van der Aalst 2025 — ref [3] of the same paper). *(Disambiguation: two separate Berti papers in 2025.)*

## Related

[[entities/marlon-dumas]] · [[entities/alessandro-padella]] · [[entities/wil-van-der-aalst]] · [[concepts/llm-based-ppm]] · [[concepts/predictive-process-monitoring]]