I am an Industrial PhD Student specializing in Predictive Maintenance and Interpretable Machine Learning. My work focuses on developing AI-driven solutions to enhance industrial reliability, reduce downtime, and make machine learning models more transparent and trustworthy.
- Predictive Maintenance: Leveraging data-driven techniques to anticipate equipment failures and optimize maintenance schedules.
- Interpretable Machine Learning: Ensuring AI models provide insights that are understandable and actionable.
- Time-Series Analysis & Anomaly Detection: Developing methods to extract meaningful patterns from industrial sensor data.
- Edge AI & Industrial IoT: Deploying AI models on embedded systems for real-time decision-making.
Looking forward to collaborating and sharing knowledge with the community! 🚀