Prof. Ali Zolghadri

I welcome applications for doctoral study and postdoctoral visitors in areas relevant to my research interests for working on challenging scientific projects.

Interested applicants : Possible research topics are: Reachability analysis and safety verification of neural networks — Safety and Security of Intelligent Cyber-Physical Systems: new methods and algorithms — Model-based, set-based and data-driven methods for multi-sensor data fusion in navigation systems, with application to future civil aviation operations — Fault diagnosis, fault management, autonomy and resilience issues in future aircraft systems — Symbolic methods for control of complex and non-linear systems …

I am happy also to consider students’ own proposals. If you are interested in a PhD / postdoc position, please email me.

Postdoc 2022 openings

Dr. Carlos Trapiello (Universitat Politècnica de Catalunya – UPC, Barcelona, Spain) received a research grant from UPC to do a one-year research stay in Bordeaux. See his CV at here.

He will work with Dr. Christophe Combastel and myself on safety and security issues in cyber-physical systems using set membership techniques.

Period : 15 January 2022 — 15 January 2023.

Postdoc 2020-2021 (closed):

Due to coronavirus outbreak, postdoc recruitment in 2020 has been delayed to fall 2020.

• The first call can be downloaded at here. This call is now closed. Dr. Arthour Perodou has been hired since Sptember 2020. See his CV at here.

• Second postdoc position is related to the COCOTIER project. This call is also closed. Dr. Sara Ifqir will be continuing one year more.

postdoc 2019 (closed):

• Sara IFQIR started on December 2, 2019 to work on the COCOTIER Project. See her CV at here.
• After a two-year postdoc position in Bordeaux supported by SysNum, Willy Alejandro Apaza Perez left IMS-lab in May 2020 for L2S-lab (Paris) to continue his research under the supervision of Dr. Antoine Girard. Good continuation Alejandro !

The Airbus A350 XWB stands as the most modern and efficient commercial jetliner globally today. Since January 2015, this aircraft has been operating worldwide with an advanced and robust model-based monitoring system onboard. This significant accomplishment is the result of a collaborative effort between my research team and Airbus, beginning in the mid-2000s, to address Fault Detection, Isolation, and Recovery (FDIR) challenges in aircraft systems. With current airworthiness certification standards in civil aviation, extremely rigorous specifications must be satisfied, not only in nominal flight regimes, but also in extreme, unusual, non-standard/off-nominal and unexpected flight conditions. The certification testifies that new systems meet all requirements set by the aviation regulatory authorities — FAA (USA) and EASA (Europe) — and that they themselves do not introduce new risks. Developing flight-proven and certified model-based monitoring systems was a complex endeavor that demanded years of dedicated research and innovation, rigorous verification and validation activities, as well as in-flight tests and continuous refinement.

Five years after the first A350 commercial flight, this note posted on the IFAC Blog and IFAC social media looks back at some lessons learnt from this amazing success story. The note has been prepared by Dr. Philippe Goupil (eXpert FDIR – A/C Control Architecture & Functions, Airbus, Toulouse – France) and myself. See also IFAC Newsletter, December 2020.

A. Zolghadri – IMS Bordeaux, France

P. Goupil – Airbus, Toulouse, France

What about the aircraft of the 2030s and beyond? In civil aviation operations, the vector is pointed toward more autonomy and intelligence in the cockpit. Future avionics will have to ensure more autonomy and must provide safety functionalities at least equivalent to those of today blended-crew task environments, while coupled to a new cockpit concept. The next leap forward will be to take one pilot out of the cockpit (Single Pilot Operations, SPO). Improved flight management in SPO requires cross-domain methods for trustworthy, robust and scalable detection and mitigation of anomalous events. An exhaustive discussion can be found in (pdf file):