Contact

[email protected]

Dr. Laurence A. Gan Lim

Full Professor, Graduate Program Coordinator

Educational Background

PhD in Mechanical Engineering,
Coventry University, United Kingdom

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

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

Dr. Laurence A. Gan Lim received his Bachelor’s and Master’s degree in Mechanical Engineering at the De La Sall University, manila in 1993 and 2001, respectively. He completed his PhD in Mechanical Engineering at the Coventry University, United Kingdom in 2012. His fields of interest are experimental fluid dynamics, fuzzy logic, neural networks, genetic algorithms, image analysis, fluid mechanics, HVAC&R, control systems, and mechatronics.

Research Interest

  • Fuzzy Logic, Artificial Neural Networks
  • Genetic Algorithms
  • Image Analysis
  • Fluid Mechanics
  • HVAC&R
  • Control System
  • Mechatronics

Selected Publications

  • Bandala, A. A., Dadios, E. P., Vicerra, R. R. P., & Lim, L. A. G. (2014). Swarming algorithm for unmanned aerial vehicle (uav) quadrotors–swarm behavior for aggregation, foraging, formation, and tracking–. Journal of Advanced Computational Intelligence and Intelligent Informatics, 18(5), 745-751.
  • Cruz, J. R. D., Magsumbol, J. A. V., Dadios, E. P., Baldovino, R. G., Culibrina, F. B., & Lim, L. A. G. (2017, December). Design of a fuzzy-based automated organic irrigation system for smart farm. In 2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-6). IEEE.
  • Sam, S., Lim, L. A. G., Thirumalai, S., Wiranata, A., Sentanuhady, J., Santos, G. N. C., & Muflikhun, M. A. (2024). Novel lead–tin telluride (PbSnTe) thermoelectric material manufactured via horizontal vapour phase growth technique (HVPG). Manufacturing Letters, 40, 11-15.
  • Illahi, A. A. C., Bandala, A. A., Sybingco, E., Dadios, E. P., Vicerra, R. R. P., Concepcion II, R., … & Naguib, R. (2023). Development of an Electronic Nose for Harmful Gases with Prediction Modeling Using Machine Learning. Journal of Advances in Information Technology, 14(2), 373-383.
  • Illahi, A. A. C., Dadios, E. P., Concepcion II, R. S., Bandala, A. A., Vicerra, R. R. P., Sybingco, E., … & Francisco, K. (2022). BombNose: A multiple bomb-related gas prediction model using machine learning with electronic nose sensor substitution technique. Journal of Advanced Computational Intelligence and Intelligent Informatics, 26(5), 834-841.

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]