Ph.D. in Data Science Application for 1st Semester AY 2025-2026 now open!

Ph.D. in Data Science Application for 1st Semester AY 2025-2026 now open!

The Ph.D. in Data Science programs at the University of the Philippines Diliman are now accepting applications!
 
Interested in pursuing a Ph.D. in Data Science at the College of Science? The application deadline is on April 20, 2025. Qualified applicants for the Regular and Research tracks may also apply for the DOST-ASTHRDP scholarship.
 
Ready to start your journey as a Data Science scholar?  Apply here: bit.ly/UPD-PHDDS-2526S1-CS
 

Dissertation Proposal Presentation of Margaret Esther C. Cruz

Dissertation Proposal Presentation of Margaret Esther C. Cruz

Dissertation Proposal Topic: Image Reconstruction in Electrical Impedance Tomography using Physics-Informed Neural Networks with Differential Evolution

Date and Time: 4:00 PM, Monday, 3 March 2025

Place: CSRC Conference Room

Co-Advisers:

Renier Mendoza, Dr.rer.nat.
Rhudaina Mohammad, Ph.D.

Reader:

Karl Ezra Pilario, Ph.D.

About: This presentation will assess Margaret Esther C. Cruz’s dissertation proposal on Image Reconstruction in Electrical Impedance Tomography using Physics-Informed Neural Networks with Differential Evolution.


Contact Information:
csrc@science.upd.edu.ph

Thesis Proposal Presentation of Ricarido M. Saturay Jr.

Thesis Proposal Presentation of Ricarido M. Saturay Jr.

Thesis Proposal Topic: Estimating landscape evolution parameters from topography using machine learning models trained on numerical landscapes

Date and Time: 12:00 PM, Wednesday, 16 October 2024

Place: CSRC Conference Room

Thesis Co-Advisers:

Johnrob Y. Bantang, Ph.D.
Noelynna T. Ramos, D.Sc.

Thesis Reader:

John Dale B. Dianala, Ph.D.

Thesis Examiners:

Maricor N. Soriano, Ph.D.
Giovanni A. Tapang, Ph.D.

 

About: This presentation will assess Ricarido M. Saturay Jr.’s thesis proposal on Estimating landscape evolution parameters from topography using machine learning models trained on numerical landscapes.

 

 

Contact Information:
csrc@science.upd.edu.ph

Candidacy Examination of Margaret Esther Cruz

Candidacy Examination of Margaret Esther Cruz

Candidacy Examination Topic: Numerical Solutions of Partial Differential Equations using Physics-Informed Neural Networks

Date and Time: Thursday, 08 August 2024 at 3:00 PM

Place: CSRC Conference Room

Panel Members:

Dr. Rhudaina Mohammad
Dr. Renier G. Mendoza
Dr. Karl Ezra S. Pilario
Dr. Gil C. Claudio
Dr. Hyeontae Jo

About: This examination will assess Margaret Esther Cruz’s research on Numerical Solutions of Partial Differential Equations using Physics-Informed Neural Networks.

 

 

Contact Information:
csrc@science.upd.edu.ph

Candidacy Examination of Khristian G. Kikuchi

Candidacy Examination of Khristian G. Kikuchi

Candidacy Examination Topic: Handling Data Organization, Data Types, and Analytical Methods for Education and ZooArchaeology

Date and Time: Wednesday, 07 August 2024 at 3:00 PM

Place: CSRC Conference Room

Panel Members:

Dr. Giovanni A. Tapang
Dr. Juan C. Rofes
Dr. Rachelle R. Sambayan
Dr. Johnrob Y. Bantang
Dr. Maricor N. Soriano

About: This examination will assess Khristian G. Kikuchi’s research on Handling Data Organization, Data Types, and Analytical Methods for Education and ZooArchaeology.

 

 

Contact Information:
csrc@science.upd.edu.ph

Candidacy Examination of Ricarido M. Saturay, Jr.​

Candidacy Examination of Ricarido M. Saturay, Jr.​

Candidacy Examination Topic: Detecting Steady State Topography Using Machine Learning

Date and Time: Thursday, 13 June 2024 at 1:00 PM

Place: Dean’s Office Conference Room

Panel Members:

Co-Advisers: Dr. Johnrob Y. Bantang, Dr. Noelynna T. Ramos
Reader: Dr. John Dale B. Dianala
Examiners: Dr. Maricor N. Soriano, Dr. Giovanni A. Tapang

About: This examination will assess Ricarido M. Saturay, Jr.’s research on applying machine learning techniques to detect steady-state topography. The study aims to enhance geospatial analysis by leveraging AI to identify landforms that have reached equilibrium over time. The findings could provide valuable insights into geological processes and contribute to advancements in remote sensing and environmental monitoring.

 

 

Contact Information:
csrc@science.upd.edu.ph