Robust FDI based on LFT BG and relative activity at junction. - Mayank Shekhar Jha; Geneviève Dauphin-Tanguy; Belkacem Ould Bouamama (ECC, 2014)

Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework. - Mayank Shekhar Jha; Mathieu Bressel; Belkacem Ould Bouamama; Geneviève Dauphin-Tanguy (Comput. Chem. Eng., 2016)

A Reinforcement Learning Approach to Health Aware Control Strategy. - Mayank S. Jha; Philippe Weber; Didier Theilliol; Jean-Christophe Ponsart; Didier Maquin (MED, 2019)

Approximate Q-learning approach for Health Aware Control Design. - Mayank S. Jha; Didier Theilliol; Gautam Biswas; Philippe Weber (SysTol, 2019)

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. - Sungho Suh; Joel Jang; Seungjae Won; Mayank Shekhar Jha; Yong Oh Lee (Sensors, 2020)

Remaining Useful Life Prediction for Liquid Propulsion Rocket Engine Combustion Chamber. - Mohammed Chelouati; Mayank S. Jha; Marco Galeotta; Didier Theilliol (SysTol, 2021)

Degradation Tolerant Optimal Control Design for Linear Discrete-Times Systems. - Soha Kanso; Mayank Shekhar Jha; Didier Theilliol (DPS, 2022)

Redundancy-Aware Physics Informed Neural Networks (R-PINNs) Based Learning of Nonlinear Algebraic Systems with Non-Measurable States. - Mayank Shekhar Jha; Hugues Garnier; Didier Theilliol (CDC, 2023)

Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. - Dhruv Aditya Mittal; Hymalai Bello; Bo Zhou 005; Mayank Shekhar Jha; Sungho Suh; Paul Lukowicz (IECON, 2023)

Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction. - Khoury Boutrous; Julien Thuillier; Mayank Shekhar Jha; Vicenç Puig; Didier Theilliol (MED, 2023)

Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks. - Sungho Suh; Dhruv Aditya Mittal; Hymalai Bello; Bo Zhou 005; Mayank Shekhar Jha; Paul Lukowicz (CoRR, 2023)

Safe Reinforcement Learning Based on Off-Policy Approach for Nonlinear Discrete-Time Systems. - Mayank Shekhar Jha; Bahare Kiumarsi; Didier Theilliol (ACC, 2024)

A Weighted Linearization Approach to Gradient Descent Optimization. - Damiano Rotondo; Mayank Shekhar Jha (ECC, 2024)

Degradation tolerant optimal control design for stochastic linear systems. - Soha Kanso; Mayank Shekhar Jha; Didier Theilliol (Int. J. Appl. Math. Comput. Sci., 2024)

Remaining Useful Life prediction based on physics-informed data augmentation. - Martin Hervé de Beaulieu; Mayank Shekhar Jha; Hugues Garnier; Farid Cerbah (Reliab. Eng. Syst. Saf., 2024)

Safe Reinforcement Learning Tracking Control based on Tunable Input-to-State Safe Control Barrier Function. - Soha Kanso; Mayank Shekhar Jha; Didier Theilliol (ACC, 2025)

Human-informed skill discovery: Controlled diversity with preference in reinforcement learning. - Maxence Hussonnois; Thommen George Karimpanal; Mayank Shekhar Jha; Santu Rana (Expert Syst. Appl., 2025)

Off-policy safe reinforcement learning for nonlinear discrete-time systems. - Mayank Shekhar Jha; Bahare Kiumarsi (Neurocomputing, 2025)