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Welcome to the PASSIO lab: PASSION without end
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
Events
Research highlights
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
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.
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
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
PASSIO Lab news
04/2025: Our lab partnered with two faculty members from the ISE Department—Dr. Joao P. J. Prioli and Dr. Jose C. H. Azucena—to showcase our robot arm at the 4-H Game of Drones event in Moore Gymnasium. The demonstration allowed K–12 students to explore robotics by programming the arm to pick up Hot Wheels cars and place them onto a Mario Kart Bowser’s Castle track. Part of the NC Science Festival, this outreach experience introduced young learners to hands-on STEM activities and fostered excitement for robotics, drones, and technology.
03/2025: We’re pleased to announce that three of our papers have been published on IEEE Xplore and presented at the 2025 Annual Reliability and Maintainability Symposium (RAMS). Congratulations to all authors for their significant contributions: (1) Multi-Scale System Reliability Analysis of Multi-Layered Network Infrastructures (DOI: 10.1109/RAMS48127.2025.10935270), (2) Transformer-Based Prognostic Modeling for Smart Grid Health Monitoring (DOI: 10.1109/RAMS48127.2025.10935025), and (3) Multi-Scale Temporal Analysis for Failure Prediction in Energy Systems (DOI: 10.1109/RAMS48127.2025.10935083).
01/2025: Congratulations to Dr. Huynh on the IISE Quality Control and Reliability Engineering (QCRE) Division William A. Golomski Award for RAMS 2025. The paper entitled "Unsupervised Anomaly Detection in Electric Power Networks Using Multi-Layer Auto-encoder." The paper is co-authored by Gurmeet Singh, Om P. Yadav, Trung Q. Le, and Chau Le.
01/2025: Happy New Year 2025! We’re thrilled to announce that our latest paper, "Modal Analysis of Blood Flows in Saccular Aneurysms," has been featured as an Editor’s Pick in Physics of Fluids! 🏆 A huge congratulations to our team—Thien-Tam Nguyen, Davina Kasperski, Phat Kim Huynh, Trung Quoc Le, and Trung Bao Le—for this exciting achievement!
12/2024: We are excited to share that NCA&T has been awarded a $2.5M grant from CESER for our project, "P4REST: Platforms for Secure and Resilient Electric Power System Research Testing and Demonstration." Our team, led by Dr. Hieu Nguyen and including Co-PIs—Dr. Phat Huynh and Dr. Om Prakash Yadav, will focus on enhancing energy security and resilience against diverse threats.
11/2024: The work, "Deep Learning-based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges" co-authored by Dang Nguyen, Minh Huu Nhat Le, Trung Q. Le, Chinyere Charles-Okezie, Michael J. Diaz, Cameron Sabet, Hung The Dang, Tuan Nguyen, Hoan Nguyen, Minh Tran, Nguyen Quoc Khanh Le, and Aaron Muncey, has been published on IEEE Journal of Biomedical and Health Informatics.
9/2024: The work, "A Narrative Review of the Relationship Between Head and Neck Cancer and Obstructive Sleep Apnea: Clinical Studies and Statistical Analysis," co-authored by Toan Le, Abhay Sharma MD, Arveity Setty MD, Miran Blanchard MD, Hon Keung Tony Ng PhD, Yi Luo PhD, and Trung Le PhD, has been published on Sleep Medicine Reviews.
8/2024: PASSIO Lab moved to Industrial and Systems Engineering Department at North Carolina A&T State University.
5/2024: Our work on "Leveraging Multi-Criteria Integer Programming Optimization for Effective Team Formation" has been published in IEEE Transactions on Learning Technologies. A huge thanks to my co-authors Pallavi Singh, Dang Nguyen, Dr. Trung (Tim) Le, and Dr. Wilfrido Moreno.
02/2024: Congratulations to Dr. Huynh on the hat-trick with three awards: 1) IISE Quality Control and Reliability Engineering (QCRE) Division William A. Golomski Award, 2) Thomas L. Fagan RAMS Student Paper Award, and 3) Stan Oftshul Award. (More details)
01/2023: The paper "A physics-informed Latent Variables of Corrosion Growth in Oil and Gas Pipeline" co-authored by Dr. Huynh, Abdulsalam Alqarni, Dr. Om Yadav and Dr. Trung Le, has won the SRE Doug Ogden Best Paper Award at the 2023 Annual Reliability and Maintainability Symposium (RAMS).
Dr. Huynh's office:
1601 E. Market Street, 402 McNair Hall
Greensboro, NC 27411
Direction: https://www.ncat.edu/visit/directions-and-parking.php
PASSIO Lab: 317 Monroe Hall, Greensboro, NC 27401
Phone: (469) 816-2177
Email: pkhuynh@ncat.edu
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