Dr. Karl Ezra Pilario

Dr. Karl Ezra Pilario

he/him

Professor at the University of the Philippines, Diliman

People

Alumni

  1. Ricardo Roxas II (MS Chemical Engineering, 2022)
    • Thesis: Machine Learning Based Automatic Real-time Identification of Two-Phase Flow Regimes using Ultrasonic Doppler Sensor Data
  2. Jan Vincent Madayag (MS Chemical Engineering, 2022)
    • Thesis: Multi-kernel Canonical Variate Analysis with Optimal Kernel Designs for Nonlinear System Identification
  3. Johndel Obra (MS Chemical Engineering, 2023)
    • Thesis: Mapping and Assessment of the Spatio-Temporal Solar and Wind Complementarity in the Philippines using Sparse Non-negative Canonical Correlation Analysis (SNCCA)
  4. Joshua Gil Dimaano (MS Chemical Engineering, 2024)
    • Thesis: Comparative Analysis of Supervised Machine Learning Classifiers for Fault Detection and Diagnosis in Multi-phase Flow Facility
  5. Anne Jadeite Moreno (MS Environmental Engineering, 2024)
    • Thesis: Data-driven Prediction and Characterization of Influent Wastewater using Machine Learning
    • Co-adviser: Dr. Analiza Rollon
  6. Sweet Hazel Aquino (MS Environmental Engineering, 2024)
    • Thesis: Techno-Economic Analysis of the Valorization of Sugarcane Bagasse into Bioethanol Using Machine Learning-Based Surrogate Models
    • Co-adviser: Dr. Jhud Mikhail Aberilla
  7. Al Romano (MS Environmental Engineering, 2024)
    • Thesis: Supervised Machine Learning-Based Prediction of Dissolved Oxygen Using Water Quality, Physical, and Hydroclimatic Parameters in Sampaloc Lake, San Pablo, Laguna
    • Co-adviser: Dr. Eden May dela Pena
  8. Jilianne Alyssa Crisostomo (MEngg Artificial Intelligence, 2025)
    • Capstone: A Machine Learning Framework for Airline Seat Dynamic Pricing Using UMAP-KMeans Segmentation and Gradient Boosting Inference
  9. Jemar Laag (MEngg Artificial Intelligence, 2025)
    • Capstone: Machine Learning-Based Deforestation Monitoring and Forecasting Using Sentinel-2 Imagery: A Case Study in Narra, Palawan
  10. Michael Ignacio (MEngg Artificial Intelligence, 2025)
    • Capstone: Uncertainty Quantification (UQ) of Remaining Useful Life (RUL) Models for Aero-engines
  11. Jomhel Callueng (MS Environmental Engineering, 2026)
    • Thesis: Modular Pyrolysis Facility Location-Allocation-Capacity Optimization Model for Combustible Infectious Medical Waste in a Megacity
    • Co-adviser: Dr. Maria Antonia Tanchuling
  12. Juliene Marie Janer (MS Chemical Engineering, 2026)
    • Thesis: Surrogate-Based Optimization and Control of Anaerobic Digesters for Waste-to-Energy Applications
  13. Neil John Catapang (MEngg Artificial Intelligence, 2026)
    • Capstone: Real-Time Soft Sensing and Fault Diagnosis in a Continuous Stirred-Tank Reactor (CSTR) using Deep Learning and RAG-Assisted AI Copilot
  14. Kenneth Allen Albelda (MEngg Artificial Intelligence, 2026)
    • Capstone: Automatic Causal Graph Discovery from Chemical Process Data for Fault Diagnosis

Faculty