The Data Science Institute research projects are inspired by the latest research methodologies and tools in data engineering, machine learning, analysis and prediction. We aim to discover new approaches to aggregating and analyzing data towards solving monumental problems in fields as diverse as business, education, public policy, health care and engineering. We serve as a core of data science research initiatives across DLSU that call for the cooperation of people from different disciplines, providing innovative, impactful and long lasting solutions towards a better quality of life. The priority research areas of the institute are (1) Sustainable Cities, (2) Climate Actions and (3) Computational Data Science.

 

Current Projects

  • An Optimization Model for Vaccine Allocation
    • Lead Proponent: Dr. Charlle Sy
    • Co-proponent: Dr. Kathleen Aviso
    • Partner agency: Animo Labs
  • Global Competencies of Southeast Asian High School Students: Exploring the PISA 2018 and SEA-PLM 2019 Global Competence Surveys Using Data Mining Approaches
    • Lead Proponent: Dr. Allan Benedict Bernardo
    • Co-proponents: Dr. Macario Cordel, II and Ms. Unisse Chua
    • Partner agency: SEAMEO – Innotech
  • Diachronic Representation and Linguistic Study of Filipino Word Senses Across Social and Digital Media Contexts
    • Lead Proponent: Dr. Briane Paul Samson
    • Co-proponents: Ms. Unisse Chua, Dr. Charibeth Cheng, Mr. Ralph Regalado
    • Partner agencies: Senti-AI and DOST

Publications

  • Bat-Og, J.R., Juan, C.D.C., Wan, K. K., and Cordel, M.O., Visual Attention-based Abnormal Traffic Incident Detection Model, Philippine Journal of Science. April 2021
  • Chua, U., Santiago, K. L., Ona, I. B., Pena, R. M., Marasigan, G. Z., Reyes, P. G., Samson, B. P. V.. In Proc: 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures (AsianCHI 2020), ACM. April 2020, pp. 61-64
  • Bat-Og, J.R., Juan, C.D.C., Wan, K. K., and Cordel, M.O., A Task-Driven Eye Fixation Data Collection towards Automatic Abnormal Road Traffic Incident Detection. In proc: Philippine Computing Society Congress 2020. March 2020
  • Cordel, M. O., Modeling human attention by learning from a large amount of emotional images. In proc: 2019 IEEE International Conference on Big Data 2019 (Big Data 2019). Dec 2019. pp. 1631-1636.
  • Marcelo, J., Ilao, J. P., and Cordel, M. O. Vision-based Detection and Localization of Camouflaged Fruits with Deep Neural Networks. In proc: Mechatronics & Machine Vision in Practice 2020, Springer, Dec 2019.
  • Del Gallego, N.P., Ilao, J., Cordel, M., II. Blind First-Order Perspective Distortion Correction Using Parallel Convolutional Neural Networks. Sensors. 2020. 20, 4898.

Activities

  • Lecture series
    • Data Science for Smart Culture: Harnessing Human Semantics at Scale
  • Brown bag session
  • Conference: Mechatronics and Machine Vision in Practice 2022 (soon)