Achraf Jabeur Telmoudi
Papers
7
Total Citations
55
H-Index
4
About
Achraf Jabeur Telmoudi is a researcher focused on the intersection of discrete event systems, optimization, and industrial safety. His primary research areas include the modeling and optimization of surveillance and maintenance patrols using Petri nets, as well as the estimation of system states in labeled Petri nets. Telmoudi’s major contributions lie in developing novel algorithms for configuring mobile robot patrols to enhance security and risk prevention in industrial environments. His work on the "Hybrid Filtered Beam Search Algorithm" (2023, 16 citations) and "A Petri Nets Based Approach for the Optimisation of Surveillance Patrols" (2021, 13 citations) demonstrates his impact in creating efficient, systematic monitoring solutions. He has also addressed fundamental theoretical problems, such as estimating the Minimum Initial Marking of labeled Petri nets using a GRASP-inspired method (2020, 11 citations). More recently, Telmoudi has explored multi-robot task allocation with energy constraints (2024), tackling the practical challenge of limited robot autonomy. With a cumulative citation count exceeding 55 across his most-cited works, his research is valuable for both advancing theoretical Petri net methodologies and providing practical tools for industrial safety and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A petri nets based approach for the optimisation of surveillance patrols13 citations · 2021
- 3
- 4Configuration of surveillance patrols with Petri nets for safety issues9 citations · 2020
- 5
- 6Optimization of maintenance patrols planning2 citations · 2021
- 7A petri nets based approach for the optimisation of surveillance patrols2 citations · 2021