ROXAS, Edison A. -

ROXAS, Edison A.

Bionote

Assoc. Prof. Edison A. Roxas, PhD

Degrees

Doctor of Philosophy in Electronics and Communications Engineering, De La Salle University – Manila, Philippines, 2018
Master of Science in Electronics and Communications Engineering, De La Salle University – Manila, Philippines, 2013
Bachelor of Science in Electronics and Communications Engineering, Technological Institute of the Philippines – Manila, Philippines, 1999

Vision – Based Traffic Sign Detection and Integrity Evaluation using Convolutional Neural Network
Road Lane Detection and Spatiotemporal Reconstruction using Macroblock Prediction Method
Development of a novel method of Lagrange Learning Algorithm (LLA) as a modified scale and rotation invariant technique for dynamic agent

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Outstanding ERDT Scholar-Graduate (PhD Level)– “In Touch with Excellence” of Department of Science and Technology – Science Education Institute, July 2019
Outstanding Dissertation – De La Salle University, April 2019
VCRI Student’s Research Recognition Award(PhD Level), De La Salle University-Manila, October 2018

Professional Member – Institute of Electrical and Electronics Engineers (IEEE), Education Society (EdSoc) and Computational Intelligence Society (CIS)
Professional Member – Institute of Electrical and Electronics Engineers – Philippine Section (IEEE-PS), Institute of Electronics Engineers of the Philippines (IECEP)
Vice Chair – Institute of Electrical and Electronics Engineers – Philippine Section (IEEE-PS)
Reviewer – IEEE Region 10 Conference Committee (TENCON), IEEE Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management Conference Committee (HNICEM)

E. A. Roxas, R. R. Vicerra, G. N. C. Santos, E. P. Dadios and A. A. Bandala, “Lane Detection and Spatiotemporal Reconstruction Using the Macroblock Predictions Method,” Journal of Advanced Computational Intelligence and Intelligent Informatics, pp. 660-665, 2018.
E. A. Roxas, R. R. P. Vicerra, L. A. Gan Lim, E. P. Dadios and A. A. Bandala, “SVM Compound Kernel Functions for Vehicle Target Classification,” Journal of Advanced Computational Intelligence and Intelligent Informatics , pp. 654-659, 2018.
E. A. Roxas, J. N. Acilo, R. R. P. Vicerra, E. P. Dadios and A. A. Bandala, “Vision-based traffic sign compliance evaluation using convolutional neural network,” in IEEE International Conference on Applied System Invention (ICASI), Chiba, Tokyo Japan, 2018.
E. A. Roxas, R. R. P. Vicerra, L. A. Gan Lim, J. C. Dela Cruz, R. Naguib, E. P. Dadios and A. A. Bandala, “Multi-Scale Vehicle Classification Using Different Machine Learning Models,” in IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, 2018.
J. J. P. Belen, J. C. V. Caysido, A. B. Llena, E. J. O. Samonte, G. N. Vicente and E. A. Roxas, “Vision based classification and speed estimation of vehicles using forward camera,” in IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), Penang, Malaysia, 2018.