Publications

• Patents
  1. A Mosallam, L Laval, G Haddad, "System and Method for Prediction of a Component Failure" 2017 Patent Application
  2. N Williard, M Nutakki, A Mosallam, D Viassolo, L Cotelle, M Alioto, L Baur, "In-situ evaluation of gauges" 2020 Patent Application

• Journals
  1. Mosallam, A., Medjaher, K., Zerhouni, N., (2014), Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction. J Intell Manuf DOI: 10.1007/s10845-014-0933-4
  2. Mosallam, A., Medjaher, K., Zerhouni, N., (2014) "Time Series Trending for Condition Assessment and Prognostics", Journal of Manufacturing Technology Management, Vol. 25 Iss: 4
  3. Mosallam A., Medjaher K., Zerhouni N., (2013), Bayesian approach for remaining useful life prediction, Chemical Engineering Transactions, 33, 139-144 DOI: 10.3303/CET1333024.
  4. Mosallam, A.; Medjaher, K.; and Zerhouni, N. (2013). Nonparametric time series modelling for industrial prognostics and health management. The International Journal of Advanced Manufacturing Technology: Volume 69, Issue 5, Page 1685-1699. DOI: 10.1007/s00170-013-5065-z.

• Conferences and Workshops
  1. Mosallam A., Laval L., Youssef F. B., Fulton J., Viassolo D., (2018) Data-Driven Fault Detection for Neutron Generator Subsystem in Multifunction Logging-While-Drilling Service, PHM Society European Conference
  2. Mosallam A., Medjaher K., Zerhouni N, "Component Based Data-Driven Prognostics for Complex Systems: Methodology and Applications", 2015 ICRSE & PHM-Beijing Conference Program (Best paper award)
  3. Mosallam A., Medjaher K., Zerhouni N., Integrated Gaussian Process and Bayesian Framework for Remaining Useful Life Prediction. IEEE International Conference on Prognostics and Health Management, PHM'2014. Pages 1-6.
  4. Mosallam, A.; Medjaher, K.; and Zerhouni, N. (2012). Unsupervised trend extraction for prognostics and condition assessment. In A-MEST'12, 2nd IFAC workshop on Advanced Maintenance Engineering Service and Technology , 97-102. Seville, Spain.
  5. Mosallam, A.; Byttner, S.; Svensson, M.; and T., R. (2011). Nonlinear relation mining for maintenance prediction. IEEE Aerospace Conference , 1-9. Montana, USA.
  6. Louloudi, A.; Mosallam, A. ; Marturi, N; Janse, P and Hernandez, V. ( 2010). Integration of the Humanoid Robot Nao inside a Smart Home: A Case Study. Proceedings of the Swedish AI Society Workshop (SAIS), 18, pp. 35-44. Uppsala, Sweden.
• Theses
  1. Ahmed Mosallam, (2014). Remaining useful life estimation of critical components based on Bayesian approaches. Engineering Sciences [physics]. Université de Franche-Comté.
  2. Ahmed Mosallam, (2010). Self-organized Selection of Features for Unsupervised On-board Fault Detection. M.Sc. Thesis, Örebro University, School of Science and technology.

You can also check my publications on Google Scholar.