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AI Engineer @ BUAWEI (Lille, France)PhD in artificial intelligence - University de Lille, CRIStAL
PhD candidate in artificial intelligence, specializing in fault diagnosis of green hydrogen multi-source hybrid systems.
Outside of my research, I'm also a content creator on YouTube, where I make videos on the application of AI in fault diagnosis.Intelligent Machines
👨💻 All of my projects are available atGithub
👨🔬 My published Research papersGoogle Scholar
📫 How to reach me1:1 call
📄 Know about my experiencesCV/Resume
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- TEP_Anomaly_detection_deployment
TEP_Anomaly_detection_deployment Public - Unsupervised-_Fault_Detection-Industrial_Process
Unsupervised-_Fault_Detection-Industrial_Process PublicThis repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algorithms in industrial systems. The dataset includes measuremen…
- CWRU_Bearing_Fault_Classification
CWRU_Bearing_Fault_Classification Public - NASA-s-Turbo-Engine-Remaining-Useful-Life-prediction-using-machine-learning
NASA-s-Turbo-Engine-Remaining-Useful-Life-prediction-using-machine-learning Public - IMS-Bearing-Fault-Diagnosis
IMS-Bearing-Fault-Diagnosis Public - Image_captioning_with_deployment
Image_captioning_with_deployment PublicJupyter Notebook 1
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