ROXAS, Edison A.

ROXAS, Edison A.

Dr. Edison A. Roxas received his Bachelor of Science in Electronics and Communications Engineering degree from the Technological Institute of the Philippines – Manila, and his Master of Science and Doctor of Philosophy in Electronics and Communications Engineering degree from De La Salle University. A licensed Professional Electronics Engineer (PECE) and a member of the Institute of Electronics Engineers of the Philippines (IECEP) and Institute of Electrical and Electronics Engineers (IEEE). He is currently the Vice Chair of the IEEE – Philippine Section. An active researcher with numerous international conference and journal publications; and participated in several funded research grants either as main proponent, research assistant or project staff. His research interests focus on Data Science, Machine Learning and Computer Vision applied in Biomedical Engineering, Smart and Precision Farming; and Transport and Traffic Management Engineering.

Updates

Academic Qualifications

Research Highlights

Research Interests

Academic Qualifications

Degrees

  • Doctor of Philosophy in Electronics and Communications EngineeringDe La Salle University – Manila, Philippines, 2018
  • Master of Science in Electronics and Communications EngineeringDe La Salle University – Manila, Philippines, 2013
  • Bachelor of Science in Electronics and Communications EngineeringTechnological Institute of the Philippines – Manila, Philippines, 1999

Research Highlights

  • 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

Research Interests

  • Computer Vision
  • Data Science and Machine Learning
  • Digital Health
  • Intelligent Transport System
  • Smart and Precision Farming

Courses Handled

Major Recognitions

Professional Activities

Courses Handled

  • ECE21126 – Research Proposal
  • ECE21124 – Methods of Research
  • ECE603 – Machine Learning
  • ECE21110L – Advanced Engineering Mathematics Laboratory
  • ECE21113L – Signal Processing Theory and Applications Laboratory
  • ECE2112 – Advanced Computer Programming and Algorithms
  • ECE2118 – Electric Circuits Theory 1

Major Recognitions

  • 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 Activities

  • 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)

Selected Publications

Selected Publications

  • 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.

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