Areas of Expertise
- Data Models and Machine Learning
- Logistics and Operations Management
- Reliability Engineering and Prognostics and Health Management
- Inventory Control
- Forecasting Algorithms
Teaching Interests
- Operations and Supply Chain Management
- Business Technology
- Data Mining and Data Science for Business Intelligence
Academic Profiles
- Google Scholar – user: Z1aXqrkAAAAJ&hl New Tab
- ORCID – ID: 0000-0003-1584-3652 New Tab
- Web of Science – Researcher ID: AAF-2886-202 New Tab
- Scopus – Author ID: 57206779788 New Tab
Research
- Remaining Useful Life Estimation for Engineering Applications using Machine Learning Approaches
- Mixed Unsupervised Machine Learning Approaches to Analyzing Household Poverty
Indicators and Features: A Case of Hill Tribe Villages in Thailan - Design and development of Secision Support System for Export Durian Farmers under Climate Change
- Development of a Data-Driven Optimization Method for Enhancing the Efficiency of the Transportation and Delivery in the Drinking Water and Ice Industry
- Data-Driven Smart Manufacturing System Design toward integrating Blockchain Technology in MDF Wood Board Manufacturing Industry
Representative Publications
- Khumprom, P.*, & Yodo, N. (2019). A data-driven predictive prognostic model for lithium-ion batteries based on a deep learning algorithm. Energies, 12(4), 660. DOI: 10.3390/en12040660 New Tab
- Khumprom, P.*, & Yodo, N. (2019, January). Data-driven Prognostic Model of Li-ion Battery with Deep Learning Algorithm. In 2019 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE. DOI: 10.1109/RAMS.2019.8769016 New Tab
- Khumprom, P.*, Grewell, D., & Yodo, N. (2020, January). Neural Networks Based Feature Selection Approaches for Prognostics of Aircraft Engines. In 2020 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE. DOI: 10.1109/RAMS48030.2020.9153598 New Tab
- Khumprom, P.*, Grewell, D., & Yodo, N. (2020). Deep Neural Network Feature Selection Approaches for Data-Driven Prognostic Model of Aircraft Engines. Aerospace, 7(9), 132. DOI: 10.3390/aerospace7090132 New Tab
- Khumprom, P. *, Davila-Frias, A., Grewell, D., & Buakum, D. (2023, January). A Hybrid Evolutionary CNN-LSTM Model for Prognostics of C-MAPSS Aircraft Dataset. In 2023 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-8). IEEE. DOI: 10.1109/RAMS51473.2023.10088251 New Tab
- Davila-Frias, A., Khumprom, P. *, & Yadav, O. P. (2023, January). Reliability Estimation Using Long Short-Term Memory Networks. In 2023 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE. DOI: 10.1109/RAMS51473.2023.10088225 New Tab
- Khumprom, P. *, Davila-Frias, A., Sirivongpaisal, N., Buakum, D., Jindakul, J., Suwatcharachaitiwong, S., & Treeranurat, L. (2023, October). The Stock-flow Classification Model Using Ensemble Machine Learning Approach for Particle Board Inventory. In 23rd Asia Pacific Industrial Engineering & Management System Conference (APIEMS) (pp. 98-100). UKM-Graduate School of Business (UKM-GSB) Universiti Kebangsaan Malaysia. e-ISBN: 978-967-17856-1-4 New Tab
- Davila-Frias, A., Yodo, N., Yadav, O. P., & Khumprom, P.* (2024). Probabilistic modeling of hardware and software interactions for system reliability assessment. Quality Engineering, 36(1), 131. DOI: 10.1080/08982112.2023.2274563 New Tab
- Muanchang, S., Wepulanon, P., Khumprom, P.*, & Davila-Frias, A. (2024, June). Diesel Price Prediction Models with Traditional Time-Series Algorithms and Neural Networks. In 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 246-252). IEEE. DOI: 10.1109/JCSSE61278.2024.10613626 New Tab
- Kongkaew, W., Koohathongsumrit, N., Pongsathornwiwat, A., Suwatcharachaitiwong, S., Buakum, D., Limna, T., & Khumprom, P.* (2024, November). Application of Hippopotamus Optimization Algorithm for the Routing Problem in Drinking Water Factory. In 24rd Asia Pacific Industrial Engineering & Management System Conference (APIEMS) (pp. 332-337). Chiang Mai University, Thailand. e-ISSN 2351-048X New Tab
- Suwatcharachaitiwong, S., Sirivongpaisal, N., Surasak, T., Jiteurtragool, N., Treeranurat, L., Teeraparbseree, A., Khumprom, P.*, Pungchompoo, S., & Buakum, D. (2025). Machine Learning-Driven Preventive Maintenance for Fibreboard production in Industry 4.0. International Journal of Advanced Computer Science and Applications, 16(3), 942-950. DOI: 10.14569/IJACSA.2025.0160392 New Tab
- Yaacoub, A., Tarnpradab, S., Khumprom, P.*, Assaghir, Z., Prevost, L., & Da-Rugna, J. (2025, June). Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation, In 2025 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7). Rome, Italy. DOI: 10.1109/IJCNN64981.2025.11229046 New Tab
- Kongkaew, W., Khumprom, P.*, Limna, T., Suwatcharachaitiwong, S., & Buakum, D. (2025). HORL_2OPT: A Hybrid Reinforcement Learning and Hippopotamus Optimization Algorithm for Bottled Water Delivery Route Optimization. Science & Technology Asia, 30(4), 28-54. e-ISSN 2586-9027 New Tab
- Khumprom, P.*, Kongkaew, W., Yaacoub, A., & Thanawitsatien, N. (2025, November). Validating warehouse picking strategies using simulation: Case study of a plumbing equipment firm. In. 2025 11th International Conference on Control Engineering & Information Technology (CEIT) Proceedings Book Series (Vol. 27) (pp. 1–12). Bangkok, Thailand. DOI: 10.051103/PBS.251227701 New Tab
Education
- Bachelor of Electrical Engineering (Electrical Power Engineering)
Prince of Songkla University (PSU), Hat Yai, Thailand - Master of Science in Engineering Management
Robert Morris University (RMU), Pittsburgh, Pennsylvania - Doctor of Philosophy (Ph.D.) in Industrial Engineering
North Dakota State University (NDSU), Fargo, North Dakota
Previous Appointments
- Lecturer (Tenure) Department of Industrial and Manufacturing Engineering, Prince of Songkla University (PSU), Hat Yai, Thailand
- Lecturer (Tenure) and Assistant Dean in Academic Affair Graduate School of Management and Innovation, King Mongkut's University of Technology Thonburi, Bangkok, Thailabd
Professional Associations
- Member of IEEE (the Institute of Electrical and Electronics Engineers) Society
- Certificate of Quantitative Finance (CQF) Alumni