INGCO, Wally Enrico M.

INGCO, Wally Enrico M.

Engr. Wally Enrico M. Ingco is a professional who has a great passion for the field of Electronics Engineering. He earned his Bachelor of Science in Electronics Engineering from Mapua Institute of Technology. He furthered his academic journey by attaining a Master of Science in Electronics Engineering from Ateneo de Manila University.

Engr. Ingco’s pursuit of knowledge has taken him across borders, as he was honored as an ERDT Scholar at the Ateneo de Manila University and a Japan Student Services Organization (JASSO) scholar at the Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology in Japan. He also expanded his horizons as a former Research Student at Chung Yuan Christian University in Taiwan.

His commitment to the field is exemplified by his status as a licensed Electronics Engineer and his role as a member of the Board of Directors of the Institute of Electronics Engineers of the Philippines – Manila Chapter. Additionally, Engr. Ingco is a distinguished Associate Member of the National Research Council of the Philippines, further showcasing his dedication to advancing research and innovation within the country.

Engr. Ingco’s research interests are wide-ranging and forward-thinking. They encompass cutting-edge domains such as biomedical engineering, computer vision, digital signal processing, camera calibration, motion capture, machine learning, and notably assistive technology for people with disabilities. His commitment to developing solutions that enhance the lives of individuals with disabilities underscores his dedication to creating a more inclusive and accessible world.

Updates

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Academic Qualifications

Research Highlights

Research Interests

Academic Qualifications

Degrees

  • Master of Science in Electronics Engineering, Ateneo de Manila University  – Quezon City, Philippines
  • Bachelor of Science in Electronics Engineering, Mapua Institute of Technology – Manila, Philippines

Research Highlights

  • Markerless and marker-based motion capture for human pose estimation.
    • Comparing the performance of a marker-based (MAC3D) to a markerless pose estimation tool such as OpenPose.
    • Synchronization, camera calibration, and 3D reconstruction of human body points derived from 2D camera markerless pose estimation.
  • Lung Sound Classification Using Machine Learning and AI.
    • Development of a lung sound classifier by using sound spectral features and an enhanced mel frequency cepstral coefficient (MFCC).
    • Optimization of MFCC parameters like the number of filterbank channels, number of cepstral coefficients, and the frequency range for evaluation on different machine learning algorithms such as Support Vector Machine (SVM) and K-Nearest Neighbors (KNN).

Research Interests

  • Motion Capture, Motion Analysis, and Human Movement
  • 2D and 3D reconstruction and camera calibration.
  • Digital Signal Processing
  • Computer Vision
  • Biomedical Research
  • Machine Learning and Artificial Intelligence

Courses Handled

Major Recognitions

Professional Activities

Courses Handled

  • ECE2117 – Discrete Mathematics
  • ECE2111L – Electronics Engineering Physics Laboratory
  • ENG2013 – Environmental Science
  • ELE1L – Analog IC Design Lab
  • ECE21120 – Electronics Systems and Design
  • ECE21120L – Electronics Systems and Design Lab
  • EE238 – Electronic Circuits: Devices and Analysis
  • ENG209 – Computer Fundamentals and Programming

Major Recognitions

  • Ateneo School of Science and Engineering (SOSE) Citation for Student Research
  • Japan Student Services Organization (JASSO) Student Exchange Support Program Scholar (2019-2020)
  • Department of Science and Technology –  Engineering Research and Development for Technology (DOST – ERDT) Scholarship Grantee (2017 – 2019)

Professional Activities

Selected Publications

Selected Publications