PREDICTIVE ANALYTICS, SMART SYSTEMS, AND INTEGRATED OPTIMIZATION (PASSIO)


Welcome to the PASSIO lab: PASSION without end

"At PASSIO Lab, our commitment is unwavering as we push the boundaries of technology and innovation. Our lab, led by Dr. Phat K. Huynh, focuses on developing advanced solutions for complex systems through cutting-edge research in smart sensing technology, artificial intelligence, predictive digital twin, system dynamics modeling, and optimal control theory. Our work aims to transform theoretical research into practical applications, making significant impacts in various industries, especially in healthcare and energy."

Events

Research highlights

Von Karman vortex street (laminar, temperature)

A Best-in-class real-time digital-twin

Niura EEG earbud

Digital twin in wind power industry

Research directions

This research focuses on leveraging domain expertise to enhance sensor-based models for complex systems. By integrating domain-specific knowledge, we aim to improve the accuracy and reliability of data-driven models, making them more adept at predicting system behaviors and outcomes. This approach not only enhances the performance of predictive models but also ensures that they are robust across varied real-world scenarios. 

Our research develops intelligent AI systems that predict outcomes and prevent undesirable events before they occur. These systems utilize advanced machine learning algorithms and big data analytics to foresee potential problems and intervene proactively. This dual focus allows for a more comprehensive approach to decision-making and management, significantly enhancing operational efficiency and safety in critical sectors. 

The research focuses on developing advanced control strategies that leverage digital twin technology. This research integrates stochastic modeling to account for uncertainties in system behaviors, and robust control methods to ensure performance stability under diverse operational conditions. We aim to enhance the predictive accuracy and operational efficiency of digital twins, enabling real-time decision-making and optimization in complex environments. 

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Lab head (CV)

Dr. Phat K. Huynh is an assistant professor in Industrial and Systems Engineering Department at North Carolina A&T State University. He earned his Ph.D. in Industrial Engineering at University of South Florida. He has published extensively in prestigious peer-reviewed journals like Artificial Intelligence in Medicine, IEEE Journal of Biomedical and Health Informatics, Sleep, IISE Transactions on Healthcare Systems Engineering, and PLOS ONE. He is also the technical consultant for Niura, a start-up valued at more than $8 million, pioneering EEG-capable earbuds for real-time stress level detection. His work has been recognized with awards like the IISE Quality Control and Reliability Engineering Division William A. Golomski Award and Doug Ogden Award from Society of Reliability Engineers (SRE) for several best technical papers. 

Our vision

The vision of the PASSIO Lab is centered around the synergistic integration of domain-informed data-driven modeling, smart AI systems, and adaptive controls in predictive digital twin to push the boundaries of science and technology. Our interdisciplinary approach addresses the grand challenges of precision health, sustainable infrastructure, and resilient complex systems. Through this integrative approach, PASSIO Lab aims to deliver innovative solutions that enhance human well-being and system efficiency, addressing both immediate needs and long-term challenges.

Join us on our journey at PASSIO Lab, where our passion for research and innovation knows no end.

PASSIO Lab news

Address:

1601 E. Market Street, 408 McNair Hall

Greensboro, NC 27411

Direction: https://www.ncat.edu/visit/directions-and-parking.php  

Phone: (469) 816-2177

Email: pkhuynh@ncat.edu