Research at PAIS focuses on developing methodologies and algorithms aimed at advancing predictive analytics and decision-making under uncertainty in applications spanning traditional manufacturing, service, and energy sectors to unique and unconventional application domains, such as space services and deep space exploration.
Industrial Analytics & Machine Learning
Developing analytic algorithms specifically tailored to solve data modeling challenges in IoT-enabled industrial applications. More
Service Logistics & Intelligent MRO
Integrating analytics and optimization for service logistics and intelligent maintenance, repair and operations (MRO). More
Cyber-Security & Data Privacy in IoT Systems
Developing modeling frameworks and architecture to enhance industrial ICS cyber-security and IoT data privacy. More
The NASA HOME Space Institute
Developing autonomous predictive analytic for enabling self-awareness and self-sufficiency in deep space Smart Habitats. More
Through our research, we strive to provide various industries with a vehicle for addressing related challenges through a single point of contact, while using a problem-driven approach.
Key research areas: