Peer-reviewed journal articles († = Corresponding author, S = Students)

1. Minh Le, Thi Phuong Trang Nguyen, Hien Quang Nguyen, Dao Ngoc Hien Tam, Han H. Huynh, Huynh, P. K., Khanh Le. An In-Depth Review of AI-Powered Advancements in Cancer Drug Discovery. (Submitted to Journal of the ACM Transactions on Computing for Healthcare)

2. Huynh, P. K.†, Dang NguyenS, Saloni Patel, Heath Rutledge-Jukes, Akul Gupta, Cameron J. Sabet, Le Van Truong, Anh Q. LeS, Huong Q. LeS, Michael J. Diaz, Saso Ristovski Jr., Twalib Ngoma, Stephan Avery, Wilfred Ngwa. TeleCatalyst: Integrating a Deep Learning-Enabled Phytomedicine Guidebook for Advanced Herbal Identification and Healthcare Solutions in Sub-Saharan Africa. (Submitted to Journal of Medical Internet Research)

3. Dang NguyenS, Minh LeS, Huynh, P. K.†, Mohammad Al Mousa, Chinyere Charles-Okezie, Trung Q. Le, Issam El Naqa, Nguyen Quoc Khanh Le, and Aaron Muncey (2024). Machine Learning-based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges. (Accepted for publication IEEE Journal of Biomedical and Health Informatics)

4. Huynh, P. K., Nguyen, D. H., Hwang, Bui, V. D. A., K. Y., Le, T. Q., & Phan, H. M (2024). Real-Time Monitoring of COVID-19 Using Magnetic Sensing and Machine Learning. (Submitted to npj Digital Medicine)

5. Le, T. B., Nguyen, T. T., Huynh, P. K., & Le, T. Q. (2024). Detecting transition to turbulence in intracranial aneurysms by data-driven methods. (Submitted to Journal of Biomechanical Engineering)

6. Le, T., Huynh, P., Sharma, A., Setty, A., Blanchard, M., Ng, H. K. T., ... & Le, T. (2024). A narrative review of the relationship between head and neck cancer and obstructive sleep apnea: Clinical studies and statistical analysis. Sleep Medicine Reviews, 102010. 

7. Huynh, P. K., Singh, P., Nguyen, D., Le, T. Q., & Moreno, W. (2024). Leveraging Multi-Criteria Integer Programming Optimization for Effective Team Formation. IEEE transactions on learning technologies. 

8. Huynh, P. K., Nguyen, D. H., & Le, T. Q. (2023). Noise-Robust Optimal Sampling Strategy for Multi-Scale Complex Systems Using Deep Reinforcement Learning. (Accepted for publication in IISE Transactions)

9. Le, T. Q., Huynh, P. K., & Tomaselli, L. (2023). Navigating the night: evaluating and accessing wearable sleep trackers for clinical use. Sleep, zsad319.

10. Ambardar, S., Binder, G., Huynh, P. K., Nguyen, D., Hrim, H., Le, T. Q., & Voronine, D. V (2023). Surface‐enhanced Raman imaging of intact cancer cell membrane on a rough aluminum substrate. Journal of Raman Spectroscopy, 54(9), 940.

11. Huynh, P. K.; Nguyen, D.; Binder, G.; Ambardar, S.; Le, T. Q.; Voronine, D. V. (2023). Multifractality in Surface Potential for Cancer Diagnosis. The Journal of Physical Chemistry B 2023, 127, 6867-6877.

12. Huynh, P. K., Setty, A. R., Le, T. B., & Le, T. Q. (2022). A noise-robust Koopman spectral analysis of an intermittent dynamics method for complex systems: a case study in pathophysiological processes of obstructive sleep apnea. IISE Transactions on Healthcare Systems Engineering, 1-16.

13. Huynh, P. K., Setty, A. R., Tran, Q. M., Yadav, O. P., Yodo, N., & Le, T. Q. (2022). A domain-knowledge modeling of hospital-acquired infection risk in healthcare personnel from retrospective observational data: A case study for COVID-19. Plos one, 17(11), e0272919.

14. Mead, M. P., Huynh, P., Le, T. Q., & Irish, L. A. (2022). Temporal associations between daytime napping and nocturnal sleep: an exploration of random slopes. Annals of Behavioral Medicine.

15. Huynh, P. K., Setty, A., Phan, H., & Le, T. Q. (2021). Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset. Artificial intelligence in medicine, 115, 102056.

Conference proceedings

1. Huynh, P. K., C. Hoang, T. Truong, D. Nguyen, and T. Q. Le, "Multi-Scale System Reliability Analysis of Multi-Layered Network Infrastructures," 2025 Annual Reliability and Maintainability Symposium (RAMS), Miramar Beach, FL, USA, 2025.

2. Huynh, P. K., P. Huynh, O. P. Yadav, H. Pirim, C. Le, and T. Q. Le, " Transformer-Based Prognostic Modeling for Smart Grid Health Monitoring," 2025 Annual Reliability and Maintainability Symposium (RAMS), Miramar Beach, FL, USA, 2025.

A. Le, Huynh, P. K., C. Le, H. Pirim, C. Le, O. P. Yadav, and T. Q. Le, "Predictive Anomaly Detection in Smart Power Grids Using LSTM-Autoencoders," 2025 Annual Reliability and Maintainability Symposium (RAMS), Miramar Beach, FL, USA, 2025.

3. Huynh, P. K., G. Singh, O. P. Yadav, T. Q. Le, and C. Le, "Unsupervised Anomaly Detection in Electric Power Networks Using Multi-Layer Auto-encoders," 2024 Annual Reliability and Maintainability Symposium (RAMS), Albuquerque, NM, USA, 2024. (SRE Stan Ofsthun Best Student Paper Award https://www.sre.org/rams-best-paper-award.html)

4. Huynh, P. K., M. Rahman, O. P. Yadav, T. Q. Le, and C. Le, "Assessing Robustness and Vulnerability in Interdependent Network Infrastructure: A Multilayer Network Approach," 2024 Annual Reliability and Maintainability Symposium (RAMS), Albuquerque, NM, USA, 2024.

5. Le, T. B., Nguyen, T., Huynh, P. K., & Le, T. Q. (2023, April). Surrogate Models of Blood Flow Dynamics in Brain Aneurysms Using Dynamic Mode Decomposition. In Frontiers in Biomedical Devices (Vol. 86731, p. V001T02A006). American Society of Mechanical Engineers.

6. Huynh, P. K., A. A. Alqarni, O. P. Yadav and T. Q. Le, "A Physics-informed Latent Variables of Corrosion Growth in Oil and Gas Pipelines," 2023 Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA, 2023, pp. 1-7, doi: 10.1109/RAMS51473.2023.10088241. (SRE Doug Ogden Best Paper Award https://www.sre.org/rams-best-paper-award.html, IISE QCRE Division William A. Golomski Best Paper Award https://www.iise.org/Details.aspx?id=34901, and Thomas L. Fagan RAMS Best Student Paper Award)

7. A. A. Alqarni, Huynh, P. K., O. P. Yadav, T. Q. Le, and Y. Huang, "Multi-sensor Corrosion Growth Modeling with Latent Variables Using Hierarchical Clustering and Vector Autoregression Model," 2023 Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA, 2023, pp. 1-6, doi: 10.1109/RAMS51473.2023.10088257.

8. Huynh, P. K., Irish, L., Yadav, O. P., Setty, A., & Le, T. Q. (2022, January). Causal Inference in Longitudinal Studies Using Causal Bayesian Network with Latent Variables. In 2022 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE.

9. Huynh, P. K., Bui, C. T., Phan, H. T., Le, T. Q., & Van Toi, V. (2018, June). Developing Neural-fuzzy-based Unscented Kalman Filter Algorithm for Atrial Fibrillation Onset Prediction. In International Conference on the Development of Biomedical Engineering in Vietnam (pp. 119-125). Springer, Singapore.

Book chapters

1. Tien T. TruongS, Thang T. TruongS, Bao Ngoc V. TranS, Dang NguyenS, Huynh, P. K. †, and Amer Harky. Integrating Advanced Sensing Technologies and AI for Predicting Cardiovascular Risks: A Data-Driven Approach in Modern Healthcare. Book chapter in the book “Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases: Towards Data-Driven Smart Health Car".

Patents

1. "Deep Learning-Driven System for Surgical Sponge Tracking and Intraoperative Blood Loss Measurement" Nguyen, D., & Huynh, P. K., US Patent Application No. 63/616773, filed Jan 1st, 2024.

2. "Noise-robust sleep apnea diagnostic system and related methods" Le, T. Q., & Huynh, P. K., US Patent Application No. 18/506896, filed Nov 10th, 2023.

3. "Novel method of cancer diagnosis by spectroscopic imaging of cell membrane" Voronine, D. V., Huynh, P. K., Nguyen, D., Binder, G., Ambardar, S., US Patent Application, filed April 2023.

4. "Multifractal analysis for Cancer Detection using Kelvin Probe Force Microscopy," Voronine, D. V., Huynh, P. K., Nguyen, D., Binder, G., Ambardar, S., & Le, T. Q., US Patent Application, Feb 2023.