معرفی
Ramin Moghaddass is an Associate Professor in the Department of Industrial Engineering at the University of Miami's College of Engineering. He serves as Director of both the Industrial Research and Assessment Center and the Building Training, Research, and Assessment Center. His work bridges machine learning with industrial engineering to solve complex system monitoring and maintenance challenges.
- University of Miami, College of Engineering
- Director, Industrial Research and Assessment Center
- Director, Building Training, Research, and Assessment Center
His research focuses on:
- Deep state-space modeling for dynamic systems
- Graph neural networks for smart grid and network anomaly detection
- Thermal-RGB sensor fusion for manufacturing plant efficiency
- Image processing for vegetation risk analysis in power networks
- Bayesian filtering techniques with stochastic neural networks
Recent publications highlight trends in sensor-driven system modeling (2025), thermal-RGB fusion for HVAC optimization (2025), anomaly detection in smart grids (2025), and adaptive inspection protocols for large-scale networks (2024). His work combines recurrent neural networks with dynamic Bayesian layers for predictive analytics while exploring graph topology integration.
Contact: rxm991@miami.edu | (305) 284-9505
