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Dr. Vepa Atamuradov has more than 10 years of experience in Prognostics and Health Management (PHM) ; Predictive Maintenance (PdM), Condition-based Monitoring (CBM), Anomaly Detection, and Time Series Analysis (TSA) using statistical, advanced signal processing techniques, traditional machine learning, and deep learning techniques. He led AI-based research and development projects to develop smart solutions for different industries, such as Defense, Nuclear, Renewable energy, and Transportation. He has managed many data scientists and data engineers as a Tech Lead. Dr. Atamuradov has contributed to major peer-reviewed scientific journals with international conferences as the main author. He has a strong interest in AI, ML, DL technologies and loves to contribute to the development of open-source machine learning frameworks.