ROXAS, Edison A.

Academic Qualifications

Research Highlights

Research Interests

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
  • 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

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

Courses Handled

Major Recognitions

Professional Activities

  • 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)

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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