Publications

Overview of my publications

Throughout my academic career, I have contributed to the field of reliability engineering, prognostics and health management through various publications. As of March 2025, I have authored 80 publications. My role as first author on 38.7% of these publications signifies research leadership, while the inclusion of my PhD students (whose names are underlined in the list of publications) in 49.3% reflects my dedication to mentorship.

Journal papers - 34 JCR and 2 Scopus papers

Weikun Deng, Hung Le, Khanh T.P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio, Dazhong Wu, A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data, Applied Energy, Volume 384, 2025, 125314, ISSN 0306-2619.
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher. Enhancing industrial prognostic accuracy in noisy and missing data context: Assessing multimodal learning performance. Journal of Intelligent Manufacturing (2024).

Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio (2024). Enhancing prognostics for sparse labeled data using advanced contrastive self- supervised learning with downstream integration. Engineering Applications of Artificial Intelligence. Volume 138, 109268.
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan (2024). Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. Expert Systems with Applications, Volume 255, Part D, 124603.
Moncef Soualhi, Khanh T.P. Nguyen, Kamal Medjaher (2024). Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors. Engineering Applications of Artificial Intelligence, Volume 133, Part C, 108186.
Weikun Deng, Fabio Ardiani, Khanh T.P. Nguyen, Mourad Bernoussaad, Kamal Medjaher (2024). Physics-informed machine learning model for inverse dynamics in robotic manipulators. Applied Soft Computing, Volume 163, 111877.
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio (2023). Physics-informed machine learning in prognostics and health management: State of the art and challenges. Applied Mathematical Modelling, Volume 124, Pages 325-352.
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan (2023). Fault detection and diagnostics in the context of sparse mul- timodal data and expert knowledge assistance: Application to hydrogenerators. Com puters in Industry, Volume 151, 103983.
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio (2023). Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. Advanced Engineering Informatics, Volume 58, 102128.
Moncef Soualhi, Abdenour Soualhi, Khanh T.P. Nguyen, Kamal Medjaher, Guy Clerc, Hubert Razik (2023). Open Heterogeneous Data for Condition Monitoring of Multi Faults in Rotating Machines Used in Dierent Operating Conditions. International Journal of Prognostics and Health Management, Volume 14 (2).
Ferhat Tamssaouet, Khanh T.P. Nguyen, Kamal Medjaher, Marcos Eduardo Orchard (2023). System-level failure prognostics: Literature review and main challenges. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. Volume: 237, Issue: 3, Pages: 524-545.
Moncef Soualhi, Khanh T.P. Nguyen, Kamal Medjaher, Denis Lebel, David Cazaban (2023). Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations. Journal of Intelligent Manufacturing, Volume: 34, Issue: 4, Pages: 1761-1761.
Khanh T.P. Nguyen, Kamal Medjaher, Do T. Tran (2023). A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines. Artificial Intelligence Review, Volume: 56, Issue: 4, Pages: 3659- 3709.
Moncef Soualhi, Khanh T.P. Nguyen, Kamal Medjaher, Fatiha Nejjari, Vicenc Puig, Joaquim Blesa, Joseba Quevedo, Francesc Marlasca (2023). Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations. Computers in Industry 144 (2023) 103766.
Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu (2022). Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi- component systems. Reliability Engineering & System Safety. Volume 222, June 2022, 108383.
Ferhat Tamssaouet, Khanh T.P. Nguyen, Kamal Medjaher, Marcos Orchard (2021). A Fresh new look for system-level prognostics: Handling multi-component interactions, mission profile impacts, and uncertainty quantification. International Journal of Prognostics and Health Management 12 (2).
Ferhat Tamssaouet, Khanh T.P. Nguyen, Kamal Medjaher, Marcos Orchard (2021). Online joint estimation and prediction for system-level prognostics under component interactions and mission profile effects. ISA transactions 113, 52-63.
Khanh T.P. Nguyen, Kamal Medjaher (2021). An automated health indicator construction methodology for prognostics based on multi-criteria optimization. ISA trans- actions 113, 81-96.
Moncef Soualhi, Mohamed El Koujok, Khanh T.P. Nguyen, Kamal Medjaher, Ahmed Ragab, Hakim Ghezzaz, Mouloud Amazouz, and Mohamed-Salah Ouali (2020). Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors. Applied Energy, volume 283, 116049, pages 1–14.
Matteo Barbieri, Khanh T. P. Nguyen, Roberto Diversi, Kamal Medjaher, and Andrea Tilli (2020). RUL prediction for automatic machines: A mixed edge-cloud solution based on model-of-signals and particle filtering techniques. Journal of Intelligent Man- Manufacturing, volume 32, pages 1421–1440.
Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher, and Marcos E. Orchard (2020). Degradation modeling and uncertainty quantification for system-level prognostics. IEEE Systems Journal, volume 15, issue 2, pages 1628 - 1639.
Moncef Soualhi, Khanh T. P. Nguyen, and Kamal Medjaher (2020). Pattern recognition method of fault diagnostics based on a new health indicator for smart manufacturing. Mechanical Systems and Signal Processing, volume 142, page 106680.
Ferhat Tamssaouet, Khanh T. P. Nguyen, and Kamal Medjaher (2019). System-level prognostics under mission profile effects using inoperability input-output model. IEEE Transactions on Systems, Man, and Cybernetics: Systems, volume 51, issue 8, pages 4659 - 4669.

Moncef Soualhi, Khanh T. P. Nguyen, Abdenour Soualhi, Kamal Medjaher, and Kamel Eddine Hemsas (2019). Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals. Measurement, volume 141, issue 1, pages 37–51.
Khanh T. P. Nguyen, Phuc Do, Khac Tuan Huynh, Christophe Bérenguer, and An- toine Grall (2019). Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. Reliability Engineering & System Safety, volume 189, issue 1, pages 177–195.
Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, and Juliette Marais (2019). Application of fuzzy theory for identifying the required availability of an autonomous lo- calization unit in European Train Control System. Journal of Intelligent Transportation Systems, volume 23, issue 3, pages 265–281.
Khanh T. P. Nguyen and Kamal Medjaher (2019). A new dynamic predictive maintenance framework using deep learning for failure prognostics. Reliability Engineering & System Safety, volume 188, issue 1, pages 251–262.
Khanh T. P. Nguyen, Mitra Fouladirad, and Antoine Grall (2018). New methodology for improving the inspection policies for degradation model selection according to prognostic measures. IEEE Transactions on Reliability, volume 67, issue 3, pages 1269–1280.
Khanh T. P. Nguyen, Mitra Fouladirad, and Antoine Grall (2018). Model selection for degradation modeling and prognosis with health monitoring data. Reliability Engineering & System Safety, volume 169, issue 1, pages 105–116.
Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, and M. Kassab (2017). A new analytical approach to evaluate the critical-event probability due to wireless communication errors in train control systems. IEEE Transactions on Intelligent Transportation Systems, volume 18, issue 6, pages 1380–1392.
Khanh T. P. Nguyen, Julie Beugin, Juliette Marais (2015). Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system. Reliability Engineering & System Safety 133, 2015, pp.300-313.
Khanh T. P. Nguyen, Thomas Yeung, and Bruno Castanier (2017). Acquisition of new technology information for maintenance and replacement policies. International Journal of Production Research, volume 55, issue 8, pages 2212–2231.
Khanh T. P. Nguyen, Bruno Castanier, and Thomas G. Yeung. Maintaining a system subject to uncertain technological evolution. Reliability Engineering & System Safety 128, 2014, pp.56-65.
Khanh T. P. Nguyen, Thomas G. Yeung, and Bruno Castanier. Optimal maintenance and replacement decisions under technological change with consideration of spare parts inventories. International Journal of Production Economics 143 (2), 2013, pp.472-477.

Papers in peer-reviewed conferences - 36 international conference papers

Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio, Hung Le, Dazhung Wu (2024). A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. CODIT 2024, Malta.
Sagar Jose, Ryad Zemouri, Khanh T.P. Nguyen, Kamal Medjaher, Antoine Tahan, Mélanie Lévesque (2024). From Fragments to Futures: Construction of Synthetic Run- to-Failure Trajectories for Fault State Prognostics. 2024 Prognostics and System Health Management Conference (PHM), 306-311.
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan, (2024). Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. 2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 530-535.
Duc An Nguyen, Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher (2023). Explainable multimodal learning for predictive maintenance of steam generators. In PHM Society Asia-Pacific Conference (Vol. 4, No. 1).
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio (2023). A Few-Shot Learning Framework for Rotor Unbalance and Shaft Crack Fault Diagnostic Based on Physics-Informed Neural Network. Structural Health Monitoring 2023.
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu, Jérôme Morio (2023). Bearings RUL prediction based on contrastive self-supervised learning. IFAC- PapersOnLine 56 (2), 11906-11911.
Sagar Jose, Ryad Zemouri, Mélanie Lévesque, Khanh T.P. Nguyen, Antoine Tahan, Kamal Medjaher (2023). Informed machine learning for image-data-driven diagnostics of hydrogenerators. IFAC-PapersOnLine 56 (2), 11912-11917.
Khanh T. P. Nguyen, Zeina Al Masry, Kamal Medjaher, Noureddine Zerhouni (2023). Investigation on the capacity of deep learning to handle uncertainties in remaining useful life prediction. 2023 European Safety and Reliability Conference (ESREL 2023) / Southampton, United States (2023, Pages pages 1 - 8).
M. Soualhi, K. Nguyen, K. Medjaher, N. Zerhouni (2022). Remaining useful life estimation of turbofan engines using adaptive fault detection learning. Annual Conference of the PHM Society 14 (1).
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher (2022), Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data. PHM Society European Conference 7 (1), 574-576.
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, Jérôme Morio, Kamal Medjaher (2022). Physics-informed lightweight Temporal Convolution Networks for fault prog- nostics associated to bearing stiness degradation. PHM Society European Conference 7 (1), 118-125.
Sagar Jose, Raymond Houe Ngouna, Khanh T.P. Nguyen, Kamal Medjaher (2022). Solving Time Alignment Issue of Multimodal Data for Accurate Prognostics with CNN- Transformer-LSTM Network. 8th International Conference on Control, Decision and Information Technologies (CoDIT). Volume: 1, Pages: 280-285.

M. Soualhi, N. Zerhouni, A. Soualhi, K. E. Hemsas, T. P. K. Nguyen and K. Medjaher. Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator. 2022 8th International Conference on Control, Decision and Informa- tion Technologies (CoDIT), Istanbul, Turkey, 2022, pp. 1014-1019.
M. Soualhi, A. Ragab, K.T.P. Nguyen, K. Medjaher, H. Ghezzaz, M. Amazouz (2021). Data Analytics Methodology for Construction of Fouling Prognostic Indicators: Towards Cost-Effective Maintenance Scheduling. PHM Society European Conference 6 (1), 8-8.
F. Tamssaouet, K.T.P. Nguyen, K. Medjaher, M. Orchard (2021). Combination of Long Short-Term Memory and Particle Filtering for Future Uncertainty Characterization in Failure Prognostic. Proceedings of the 31st European Safety and Reliability Conference, 275-281
Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher, and Marcos Orchard (2020). A contribution to online system-level prognostics based on adaptive degradation models. PHM Society European Conference, volume 5, issue 1, pages 1–9.
Heraldo Rozas, Ferhat Tamssaouet, Francisco Jaramillo, Khanh T.P. Nguyen, Kamal Medjaher, Marcos Orchard (2020). Comparison of different models of future operating conditions in Particle-Filter-based Prognostic Algorithms. In Proceedings of the IFAC World Congress 2020, pages 1–6, Berlin, Germany.
Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, D. Lebel, and D. Cazaban (2020). Data-driven diagnostics of positioning deviations in multi-axis robots for smart manufacturing. In Proceedings of the IFAC World Congress 2020, pages 1–6, Berlin, Germany.
Jorge Fabry, Ignacio Carvajal, Heraldo Rozas, Marcos Orchard, Ferhat Tamssaouet, Khanh T. P. Nguyen, and Kamal Medjaher (2020). An integrated risk-based strategy for real-time decision making and mission reconfiguration in unmanned aerial vehicles. PHM Society European Conference, volume 5, issue 1, pages 1–9.
Ferhat Tamssaouet, Khanh T. P. Nguyen, Kamal Medjaher, and Marcos E. Orchard (2019). Uncertainty quantification in system-level prognostics: Application to Tennessee Eastman process. In 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), pages 1243–1248, Paris, France. IEEE.
Ferhat Tamssaouet, Khanh T. P. Nguyen, and Kamal Medjaher (2019). System remaining useful life maximization through mission profile optimization. In Asia- Pacific Conference of the Prognostics and Health Management Society, pages 1–8, Pékin, China. PHM Society.
Moncef Soualhi, Khanh T. P. Nguyen, Kamal Medjaher, D. Lebel, and D. Cazaban (2019). Health indicator construction for system health assessment in smart manufacturing. In 2019 Prognostics and System Health Management Conference (PHM-Paris), pages 45–50, Paris, France. PHM Society.

A. Khlaief, Khanh T. P. Nguyen, K. Medjaher, A. Picot, P. Maussion, D. Tobon, B. Chauchat, and R. Cheron (2019). Feature engineering for ball bearing combined-fault detection and diagnostic. In The 12th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), pages 384–390, Toulouse, France. IEEE.
Ferhat Tamssaouet, Khanh T. P. Nguyen, and Kamal Medjaher (2018). System- level prognostics based on inoperability input-output model. In Annual Conference of the Prognostics and Health Management Society 2018, pages 1–7, Philadelphia, United States. PHM Society.
Khanh T. P. Nguyen, Khaleif Amor, Kamal Medjaher, Antoine Picot, Pascal Maus- sion, Diego Tobon, Bertrand Chauchat, and Regis Cheron (2018). Analysis and comparison of multiple features for fault detection and prognostic in ball bearings. In The Fourth European Conference of the Prognostics and Health Management Society 2018, volume 4, pages 1–9, Utrecht, Netherlands. PHM Society.
Khanh T. P. Nguyen, Khac Tuan Huynh, Phuc Do Van, Christophe Bérenguer, and Antoine Grall (2017). A POMDP model for the joint optimization of condition monitoring quality and replacement decisions. In The 10th International Conference on Mathematical Methods in Reliability (MMR 2017), Grenoble, France.
Khanh T. P. Nguyen, Khac Tuan Huynh, Phuc Do Van, Christophe Bérenguer, and Antoine Grall (2016). Adjusting condition monitoring quality for condition-based maintenance optimization of deteriorating systems. 9th International Conference on Modelling in Industrial Maintenance and Reliability, MIMAR 2016, London, UK
Khanh T. P. Nguyen, Do. T. Tran, Bang. M. Nguyen. Impact of cost uncertainty on periodic replacement policy with budget constraint: Application to water pipe renovation (2016). 1st International Conference on Applied Mathematics in Engineering and Reliability, Vietnam, 2016, pp 95-103.
Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Mohamed Kassab (2015). Analytical approach for evaluating LTE communication errors in train control application. 2015 IEEE International Conference on Communication Workshop (ICCW), pp. 2369-2374.
Khanh T. P. Nguyen, Julie Beugin, Mohamed Kassab, Marion Berbineau (2014). Modelling Communication Based Train Control system for dependability analysis of the LTE communication network in train control application. IEEE EMS2014, European Modelling Symposium, Pise, Italie, 6p.
Khanh T. P. Nguyen, Julie Beugin, Juliette Marais. RAMS analysis of GNSS-based localisation system for the train control application. IEEE Computing, Management and Telecommunications (ComManTel), 2014, VietNam, 6p.
Khanh T. P. Nguyen, Julie Beugin, Juliette Marais (2013). Dependability of a GNSS and ECS based localisation unit for railway vehicles. 13th International Conference on ITS Telecommunications (ITST), 2013, pp. 474-479.
Khanh T. P. Nguyen, Bruno Castanier, and Thomas G. Yeung (2012). Information acquisition of new technology performance for maintenance/investment decisions. IEEE 3rd International Conference on Emergency Management and Management Sciences (ICEMMS), 2012, China, pp. 1-4.
Khanh T. P. Nguyen, Thomas G. Yeung, and Bruno Castanier (2012). Impact of maintenance on the replacement investment under technological improvement. International Conference on Advances in Safety, Reliability and Risk Management (ESREL), 2011, France, pp. 139.
Khanh T. P. Nguyen, Thomas G. Yeung, and Bruno Castanier (2012). Optimal maintenance and replacement decisions under technological change with consideration of spare parts inventories. International Symposium on Inventories, Sep 2010, Hungary. pp.31-37.
Khanh T. P. Nguyen, Bruno Castanier, and Thomas Yeung (2010). Optimal Maintenance and Replacement Decisions under Technological Change. European Safety and Reliability 2010 (ESREL 2010), Sep 2010, Greece. Ben J.M. Ale; Ioannis A. Papazoglou; Enrico Zio, pp.1430-1437.

Presentation in conferences without proceedings - 5 presentations in National conferences

Duc An Nguyen, Khanh T. P. Nguyen, Kamal Medjaher. Advancing PHM with XAI: A Comprehensive Review and Application in Constructing Health Indicators for Multi-Component Systems. Congrès Annuel de la Société d’Automatique, de Génie Industriel et de Productique (SAGIP), 2024, France.
Khanh T. P. Nguyen, Moncef Soualhi, Ferhat Tamssaouet, Kamal Medjaher. Managing uncertainties in prognostics for eective decision-making. Congrès Annuel de la Société d’Automatique, de Génie Industriel et de Productique (SAGIP), 2024, France.
Weikun Deng, Khanh T. P. Nguyen, and Kamal Medjaher. Digital twin services for PHM Physics-informed machine learning based characterization of rotor system fault diagnostic, La première Journée Nationale des Jumeaux Numériques (JNJN), 2023, ENIT, Tarbes, France.
Weikun Deng, Khanh T. P. Nguyen, Kamal Medjaher, Christian GOGU, and Jérôme MORIO. Physics-informed machine learning for fault diagnostics in the context of sparse and noisy data, Société d’Automatique, de Génie Industriel et de Productique (Sagip), 2023, Marseille, France.
Sagar Jose, Ryad Zemouri, Mélanie Lévesque, Khanh T. P. Nguyen, Antoine Tahan, and Kamal Medjaher. Informed machine learning for image-data-driven diagnostics of hydrogenerators. In Premier congrès annuel de SAGIP 2023 (Société d’Automatique, de Génie Industriel et de Productique), Marseille, France.

Book Chapters - 3 book chapters

Duc-An Nguyen, Khanh T. P. Nguyen, and Kamal Medjaher (2023). Enhancing Trustworthiness in AI-Based Prognostics: A Comprehensive Review of Explainable AI for PHM. In: Tran, K.P. (eds) Artificial Intelligence for Safety and Reliability Engineer- ing: Methods, Applications, and Challenges. Springer Series in Reliability Engineering, pages 101-136.
Sagar Jose, Khanh T. P. Nguyen, and Kamal Medjaher (2023). Multimodal Machine Learning in Prognostics and Health Management of Manufacturing Systems. In: Tran, K.P. (eds) Artificial Intelligence for Smart Manufacturing. Springer Series in Reliability Engineering. Springer, Cham., pages 167–197.
Khanh T. P. Nguyen (2022). Feature Engineering and Health Indicator Construction for Fault Detection and Diagnostic. In: Tran, K.P. (eds) Control Charts and Machine Learning for Anomaly Detection in Manufacturing. Springer Series in Reliability Engi- neering. Springer, Cham., pages 243-269.

Technical report - 2 technical reports

Khanh T. P. Nguyen, Julie Beugin, Marion Berbineau, Mohamed Kassab, WP6.5 Applications des principes de sûreté de fonctionnement pour une évaluation préliminaire des applications sécurité sur l’architecture LTE. Rapport technique du projet Systuf (Telecommunication System for Future Urban Transport), 2015.

2. Khanh T. P. Nguyen, Julie Beugin, Juliette Marais, WP6-D6.1 RAMS parameter analysis. Rapport technique du projet Européen GaLoROI (Galileo Localisation for Railway Operation Innovation), 2014.

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