ROXAS, Edison A.

ROXAS, Edison A.

Dr. Edison A. Roxas earned his Bachelor of Science in Electronics and Communications Engineering from the Technological Institute of the Philippines-Manila, and later obtained both his Master of Science and Doctor of Philosophy in Electronics and Communications Engineering from De La Salle University. He is a licensed Professional Electronics Engineer (PECE) and an active member of the Institute of Electronics Engineers of the Philippines (IECEP) and the Institute of Electrical and Electronics Engineers (IEEE). At present, he serves as the Chairperson of the Electronics Engineering Department, Faculty of Engineering, and the Program Lead of the Master of Science in Electronics Engineering at the Graduate School of the University of Santo Tomas.

Dr. Roxas was engaged by the Department of Science and Technology – National Research Council of the Philippines (DOST-NRCP) as a Research and Development Leader (RDLeader) at the Unibersidad de Manila (UDM). During this appointment, he spearheaded the preparation and execution of the University’s Research Roadmap. His leadership led to significant outcomes, including the establishment of international research collaborations, the development and submission of research proposals for potential funding, and the notable increase in research initiatives across multiple departments of UDM.

As an active researcher, Dr. Roxas has presented and published in numerous international conferences and peer-reviewed journals. He has also been part of several externally funded research grants, serving in various capacities as main proponent, research assistant, or project staff.

He is currently a resident researcher at the UST Research Center for Natural and Applied Sciences (RCNAS). He leads the ISULAT Project (Intelligent Stroke Utilization, Learning, Assessment, and Training System), an advanced handwriting evaluation tool powered by a smart, sensor-based pen. This system analyzes handwriting features and offers an alternative means of early detection of handwriting impairments in the Philippines. The project has garnered wide recognition and extensive media coverage for its innovation and social relevance.

Dr. Roxas’ research interests lie at the intersection of Computer Vision, Data Science Analytics, and Artificial Intelligence, with applications in Digital Health and Biomedical Engineering. His work reflects a strong commitment to leveraging technology for human well-being, education, and healthcare innovation.

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

Program Leader:

  • iSULAT (Intelligent Stroke Utilization, Learning, Assessment and Testing): A Development of an Intelligent Quantitative Software-Based Handwriting Assessment and Testing System for Early Childhood Handwriting Evaluation
  • Project 1 – ISULAT WriteQuest: A Development of an Intelligent Quantitative Software-Based Children’s Handwriting Impairment Assessment with Gamification
  • Project 2 – ISULAT Sensory Patterns: AI-based Handwriting Analysis and Evaluation for Sensory Processing Difficulties

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

  • ECE-ELEC2 – ECE Elective (Machine Learning)
  • ECE21126 – Research Proposal
  • ECE21124 – Methods of Research
  • ECE21127 – ECE Practicum 1
  • ECE21130 – ECE Practicum 2
  • ECE21134 – ECE Practicum 3
  • ECE21110 – Advanced Engineering Mathematics
  • ECE21113 – Signal Processing Theory and Applications
  • ECE2112 – Advanced Computer Programming and Algorithms
  • ECE2117 – Discrete Mathematics
  • ECE2118 – Electric Circuits Theory 1
  • GS501 – Methods of Research
  • ECE602 – Numerical Analysis for Differential Equation
  • ECE603 – Machine Learning

Major Recognitions

  • Best Invention, Intelligent Stroke Utilization, Learning, Assessment, and Testing (iSULAT) Pen, Gawad San Alberto Magno, 26th Dangal ng UST (AY2023-2024), August 15, 2025
  • 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

  • Chair – Department of Electronics Engineering, University of Santo Tomas – Faculty of Engineering
  • Program Lead – Master of Science in Electronics Engineering, University of Santo Tomas – Graduate School
  • Laboratory Supervisor – Department of Electronics Engineering, University of Santo Tomas – Faculty of Engineering
  • Member and Judge, Technical Working Group (TWG) of Department of Science and Technology – Science Education Institute (DOST-SEI) of i.make.we.make (IMWM Program) and Tagisang Robotics Competition (TRC)
  • Technical Panel Member, Biomedical Devices and ICT for Health, Department of Science and Technology (PCHRD)
  • 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)
  • Associate Member – Division VII (Information and Communications Technology), National Research Council of the Philippines
  • 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.