The University of Southeastern Philippines (USeP) proudly recognizes its faculty members who presented their research papers at the ๐ญ๐ฒ๐๐ต ๐๐ป๐๐ฒ๐ฟ๐ป๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฆ๐ฒ๐บ๐ถ๐ป๐ฎ๐ฟ ๐ผ๐ป ๐ก๐ฒ๐ ๐ฃ๐ฎ๐ฟ๐ฎ๐ฑ๐ถ๐ด๐บ ๐ฎ๐ป๐ฑ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ป ๐ก๐ฎ๐๐๐ฟ๐ฎ๐น ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ถ๐๐ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป (๐๐ฆ๐ก๐ฃ๐๐ก๐ฆ๐ ๐ฎ๐ฌ๐ฎ๐ฒ), held on 16 July 2026 at the ๐๐ฎ๐ฐ๐๐น๐๐ ๐ผ๐ณ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐, ๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐ฎ๐ ๐๐ถ๐ฝ๐ผ๐ป๐ฒ๐ด๐ผ๐ฟ๐ผ (๐จ๐ก๐๐๐ฃ), ๐ฆ๐ฒ๐บ๐ฎ๐ฟ๐ฎ๐ป๐ด, ๐๐ป๐ฑ๐ผ๐ป๐ฒ๐๐ถ๐ฎ. Conducted in a hybrid format, this year’s conference carried the theme, “๐๐ง๐๐ฃ๐จ๐๐ค๐ง๐ข๐๐ฉ๐๐ซ๐ ๐๐๐จ๐๐๐ง๐๐ ๐๐ฃ ๐๐๐ฉ๐๐๐ข๐๐ฉ๐๐๐จ, ๐๐ฉ๐๐ฉ๐๐จ๐ฉ๐๐๐จ, ๐๐ฃ๐ ๐๐๐ฎ๐จ๐๐๐จ ๐๐ค๐ง ๐ ๐๐ช๐จ๐ฉ๐๐๐ฃ๐๐๐ก๐ ๐๐ช๐ฉ๐ช๐ง๐.”
The conference serves as an international platform for researchers, academicians, and practitioners to exchange innovative ideas, share advances in science and mathematics, and strengthen collaborations that promote sustainable development.
The following USeP faculty members presented their scholarly works:
๐๐ซ. ๐๐จ๐๐ฅ ๐
. ๐๐๐๐๐ฅ๐ฅ๐จ๐ฌ
โข Impact of the Rice Tariffication Law on Rice Prices in Top Producing Provinces of the Philippines: An Intervention Analysis
โข Integrating Multi-Criteria Statistical Approaches in Developing a Disaster Preparedness Index for Philippine Communities
๐๐ฌ๐ฌ๐ญ. ๐๐ซ๐จ๐. ๐๐ข๐๐ญ๐จ๐ซ ๐๐๐ฎ๐ฅ ๐. ๐๐๐ฅ๐ ๐๐ซ๐ฎ๐ณ
โข Barangay-level Spatiotemporal Analysis of Fire Incidence Hotspots in Davao City, Philippines
๐๐ซ. ๐๐ง๐ญ๐ก๐จ๐ง๐ฒ ๐
. ๐๐๐ฉ๐ข๐ฅ๐ข
โข A Survey on Students’ Political Opinion Using the Stratified Unrelated Question Model Randomized Response Technique (UQM-RRT)
โข On Geopolitical Risk, Global Oil Prices, Inflation Rate: A Bayesian SVARโStochastic Volatility Approach
๐๐ฌ๐ฌ๐ญ. ๐๐ซ๐จ๐. ๐๐ซ๐ข๐๐ฌ ๐. ๐๐๐ฅ๐๐ซ๐ข๐๐ง๐จ
โข Nanoparticle EC50 Toxicity Classification Using a QSAR-Perturbation-Based Approach
โข Machine Learning-Based Prediction of Particulate Matter Concentrations in Davao City Using Meteorological and Temporal Features
๐๐ฌ๐ฌ๐จ๐. ๐๐ซ๐จ๐. ๐
๐ ๐
. ๐๐๐ซ๐ ๐จ
โข Mapping HIV Incidence in Region XI, Philippines: A Spatiotemporal Approach with Hotspot Detection and Time Series Decomposition
๐๐ซ. ๐๐๐ง๐ง๐ข๐๐๐ซ ๐. ๐๐ข๐ง๐ฅ๐จ
โข A Debiased Machine Learning (DML) Approach to Analyzing Household Savings in the Pre- and Post-Pandemic Era in the Philippines
โข Least Absolute Shrinkage and Selection Operator (LASSO)-Based Estimation of Insurance Expenditure Behavior in the Philippines
โข Application of Copula Modeling in Analyzing the Co-movement of Monetary Policy Rate and Stock Markets in the Philippines Through these research presentations, USeP faculty demonstrated the University’s commitment to advancing knowledge in statistics, data science, machine learning, environmental analytics, public health, economics, and disaster resilience. Their participation further strengthens USeP’s international research collaborations and reinforces its vision of producing globally engaged scholars whose research contributes to sustainable development and evidence-informed policymaking.
The University extends its warmest congratulations to all presenters for representing USeP with distinction and for upholding the University’s enduring tradition of excellence in research, innovation, and public service.
๐๐๐๐๐ฒ๐จ๐ง, ๐๐๐๐!
























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