Contact

[email protected]

Jeremy Jay B. Magdaong

Lecturer

Educational Background

Master of Science in Mechanical Engineering,
De La Salle University, Manila, Philippines

Bachelor of Science in Mechanical Engineering,
De La Salle University, Manila, Philippines

Jeremy Jay B. Magdaong is currently pursuing a Ph.D. in Mechanical Engineering at De La Salle University, where he also serves as a part-time lecturer in the Department of Mechanical Engineering. He holds both bachelor’s and master’s degrees in Mechanical Engineering from the same institution, graduating Summa Cum Laude and receiving the Outstanding Mechanical Engineering Graduate and Outstanding Graduate Thesis awards. Jeremy’s research experience includes roles as an Urban Sustainability Specialist at the National Research Council of the Philippines and as a research intern at the National Cheng Kung University in Taiwan. His research contributions encompass developing machine learning models and AI tools for energy and environmental applications, including energy markets, microalgae cultivation, and electricity load forecasting.

Research Interest

  • Energy Systems
  • Machine Learning
  • Computational Models

Selected Publications

  • Magdaong, J. B., et al. (2020). Developing an artificial neural network model for predicting the growth of Chlorella sorokiniana in a photobioreactor. IOP Conference Series: Earth and Environmental Science, 463, 012014. https://doi.org/10.1088/1755-1315/463/1/012014
  • Magdaong, J. B., et al. (2020). Developing an artificial neural network model for predicting the growth of Chlorella sorokiniana in a photobioreactor. IOP Conference Series: Earth and Environmental Science, 463, 012014. https://doi.org/10.1088/1755-1315/463/1/012014
  • Magdaong, J. J., Culaba, A., & Dadios, E. (2022). A Multi-Fuzzy Logic Model for Assessing Consumer Adoption of Solar Photovoltaic Systems. In 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-6). IEEE. https://doi.org/10.1109/HNICEM57413.2022.10109547
  • Magdaong, J. B., et al. (2024). Generating synthetic building electrical load profiles using machine learning based on the CRISP-ML(Q) framework. IOP Conference Series: Earth and Environmental Science, 1372(1), 012082. https://doi.org/10.1088/1755-1315/1372/1/012082

GET IN TOUCH WITH US

St. La Salle Hall, De La Salle University
2401 Taft Avenue, Malate 1004, Manila, Philippines

Gokongwei College of Engineering (Andrew Bldg. 9th flr)
Trunkline: +632 85244611 local 229
Direct Line: +632 85244611
Mechanical Engineering Department (Andrew Bldg. 8th flr)
Phone: (632) 524-4611 loc. 299
Email: [email protected]