INGCO, Wally Enrico M.

INGCO, Wally Enrico M.

Engr. Wally Enrico M. Ingco received his Bachelor of Science in Electronics Engineering degree from the Mapua Institute of Technology and his Master of Science in Electronics Engineering from the Ateneo de Manila University. Engr. Ingco was an ERDT Scholar at Ateneo and was a Japan Student Services Organization (JASSO) scholar at the Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology in Japan. He was also a former Research Student at Chung Yuan Christian University in Taiwan. A licensed Electronics Engineer and a former member of the Board of Directors of the Institute of Electronics Engineers of the Philipines – Manila Chapter. He is an active researcher with several participations in international conferences and scientific publications abroad. His research interest is currently focused on biomedical engineering, computer vision, digital signal processing, camera calibration, motion capture, and machine learning.

Updates

CBCP VP Bishop Vergara leads Misa de Apertura to open A.Y. 2022-2023

The University of Santo Tomas formally opened the Academic Year…

Ong, Flores of QS/THE Rankings provides QS Stars training for Bukidnon State University

University of Santo Tomas Office of QS/THE Rankings Deputy Director…

Carillo gives 3 Cs of resiliency in quality assurance for universities in Discurso de Apertura

Professor Clarita D.L. Carillo, PhD, the University’s Assistant to the…

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

  • EE2314L
  • ME2612L
  • ENG2013
  • ECE2117
  • PHY4104
  • PHY41012L

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

  • R. T. Labuguen, S. B. Negrete, T. Kogami, W. E. M. Ingco and T. Shibata, “Performance Evaluation of Markerless 3D Skeleton Pose Estimates with Pop Dance Motion Sequence,” 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2020, pp. 1-7, doi: 10.1109/ICIEVicIVPR48672.2020.9306581.
  • W. E. M. Ingco, R. S. Reyes and P. A. R. Abu, “Development of a Spectral Feature Extraction using Enhanced MFCC for Respiratory Sound Analysis,” 2019 International SoC Design Conference (ISOCC), 2019, pp. 263-264, doi: 10.1109/ISOCC47750.2019.9027640.
  • A. H. Ballado et al., “Design of indoor microstrip TV antenna for integrated services digital broadcast — Terrestrial (ISDB-T) signal reception at 677 MHz,” 2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014, pp. 1-6, doi: 10.1109/HNICEM.2014.7016228.

© Copyright 2020 . UNIVERSITY OF SANTO TOMAS. All Rights reserved.

Powered by: UST COMMUNICATIONS BUREAU

Visit Us On FacebookVisit Us On TwitterVisit Us On InstagramVisit Us On Youtube