EDUCATION

• 2022 Doctor of Philosophy in Civil Engineering (Transportation), University of Illinois at Chicago, USA

• 2011 Master of Engineering in Computer Engineering, King Mongkut's Institute of Technology Ladkrabang, Thailand

• 2008 Bachelor of Engineering in Computer Engineering (Second Class Honors), King Mongkut's Institute of Technology Ladkrabang, Thailand

 

Research Interests

• Passenger Train Delay Prediction using Machine Learning (ML)

• Data Science

• Predictive Maintenance and Operation

• Mode Choice Modelling and Travel Behavior

• Image Processing

 

Selected Publications:

• Lapamonpinyo P., Derrible S., and Corman F., “A Universal and Real-time Passenger Train Delay Prediction Models using Machine Learning”, 2022. (Under Review)

• Soithong T., Thubchula K., Rianpreecha C.,  Yimcharoenpornsakul N., and Lapamonpinyo P., “Study of Employee Satisfaction After Improving the Product Storage System in the Warehouse of Kerry Express Co., Ltd., Rama 7 Branch,” Interdiscip. Acad. Res. J., vol. 4, pp. 435–448, Apr. 2024, doi: 10.60027/iarj.2024.274912.

• Lapamonpinyo P., Derrible S., and Corman F., “Enhancing Operational Resilience of Rail Transport using Machine Learning”, accepted for presentation at Transportation Research Board (TRB) Journal under Transportation Systems Resilience: Transportation Infrastructure Protection and Preparedness, 2022.

• Lapamonpinyo P., Derrible S., and Corman F., "Real-Time Passenger Train Delay Prediction Using Machine Learning: A Case Study with Amtrak Passenger Train Routes", IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 539-550, 2022, DOI: 10.1109/OJITS.2022.3194879.

• Lapamonpinyo P., Derrible S., and Corman F., “A Python tool and database of Amtrak departure and arrival times with weather information”, 2021 (preprint available on engrXiv), DOI: https://doi.org/10.31224/osf.io/rhxcj.

• Lapamonpinyo P., Ly HB., Derrible S., “Passenger Train Delay Prediction using Linear Regression and Ensemble Learning Methods with and without Ridership and Population Data”, CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure: Proceedings of the 6th International Conference on Geotechnics, Civil Engineering and Structures, 2021, DOI: 10.1007/978-981-16-7160-9_190.

• Chitsobhuk O., Kasemsiri W., Glomglome S., Lapamonpinyo P., “Vehicle tracking using fuzzy-based vehicle detection window with adaptive parameters”, The Ninth International Conference on Graphic and Image Processing (ICGIP 2017); Proceedings Volume 1061505, 2018, DOI: 10.1117/12.2302659.

• Sootkaneung W., Lapamonpinyo P., Chookaew S., Howimanporn S., “NBTI in FinFET Circuits under the Temperature Effect Inversion”, IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), 2016, DOI: 10.1109/CSE-EUC-DCABES.2016.206.

• Lapamonpinyo P., Chitsobhuk O., “A Video-based Traffic Monitoring System based on the Novel Gradient- edge and Detection Window Techniques”, The 2nd International Conference on Computer and Automation Engineering (ICCAE), Singapore, 2010, DOI: 10.1109/ICCAE.2010.5451846.