Lotfi Nabli

About

Lotfi Nabli is a researcher focused on the intersection of discrete event systems, safety engineering, and optimization. His primary contributions lie in the application of Petri nets to solve critical problems in industrial surveillance and maintenance. Nabli has pioneered novel approaches for configuring and optimizing patrols of mobile robots and sensor networks to prevent risks and ensure safety in high-risk industrial domains. His work on the "Minimum Initial Marking Estimation of Labeled Petri Nets" introduced a GRASP-inspired metaheuristic, a significant methodological contribution to the field of system state estimation. With his most-cited paper, "A Petri nets based approach for the optimisation of surveillance patrols," garnering 13 citations, Nabli's research demonstrates a clear impact on practical safety and security. His work systematically addresses the challenge of risk prevention by transforming surveillance and maintenance planning into solvable optimization problems, offering tangible solutions for improving system availability and preventing industrial failures.

Research Focus

Key Achievements

Top Papers

1. 1
   A petri nets based approach for the optimisation of surveillance patrols

   13 citations · 2021
2. 2
   Minimum Initial Marking Estimation of Labeled Petri Nets Based on GRASP Inspired Method (GMIM)

   11 citations · 2020
3. 3
   Configuration of surveillance patrols with Petri nets for safety issues

   9 citations · 2020
4. 4
   Optimization of maintenance patrols planning

   2 citations · 2021
5. 5
   A petri nets based approach for the optimisation of surveillance patrols

   2 citations · 2021

Key Collaborators

Contact & Links