Abir Alaoui Ismaili
Postdoctoral Researcher at Université de Lorraine,
Research within the MPSI Department
of the CRAN laboratory.
CRAN Laboratory
Campus Sciences BP 70239
54506, Vandœuvre-lès-Nancy, France
Abir Alaoui Ismaili
Current position
I am a Postdoctoral researcher at Université de Lorraine, in the MPSI Departement of the CRAN laboratory.
My research focuses on Digital Twin ecosystems as intelligent, data-driven frameworks for monitoring, decision-making, and optimization. The reliability of these systems depends on accurate, secure, and well-governed data, ensuring consistency and trust in real-time operations. To make Digital Twins more adaptive and responsive, I integrate process mining to uncover inefficiencies and anomalies and ensure alignment with real-world processes, while Multi-Agent Systems (MAS) enable them to have more adaptability in changing environments. My work bridges theoretical and applied perspectives, particularly in interdisciplinary domains such as healthcare and smart manufacturing. I am currently working on JUNEAU project, a project funded by the French National Research Agency (ANR) [ANR-22-CE46-0010-01, running from October 2022 to October 2026], which aims to develop a Digital Twin for the CHU Saint-Etienne Emergency Department. The objective is to enable real-time visualization, predictive capabilities, and decision support to optimize patient flow and reduce emergency waiting times.
Previous positions
- 2023-2024: Data Architect at Région Grand EST in Metz (France)
- 2023-2024: Temporary lecturer at ICN Business School in Nancy (France)
- 2019-2021: Temporary lecturer (ATER) at IDMC in Nancy (France)
- 2018-2019: Temporary lecturer (Vacataire) at Institut Universitaire de Technologie (IUT) Charlemagne in Nancy (France)
- 2016-2022: PhD student as a part of a cotutelle agreement between Université de Lorraine in the COAST team of the LORIA laboratory, and Université Mohamed V - ENSIAS in Rabat, Morocco, under the supervision of Khalid Benali and Karim Baïna.
I defended my thesis, entitled Methodology for an Augmented Business Process Management in IoT Environment, on December 07, 2022.
As part of my PhD, I collaborated with the start-up Angel Assistance that edits an automatic fall detection system for elderly people and offers a 24/7 automatic alert solution and rapid rescue without the intervention of the person in danger.
Interests
- Digital Twin
- Multi-Agent System
- Agent-based Simulation
- Artificial Intelligence
- Data Governance
- Business Process Management
- Process mining
- Object-centric Process mining