FEU Institute of Technology was proudly represented at the
IEEE Region 10 Technical Conference (TENCON 2025) held at the Sabah
International Convention Centre in Kota Kinabalu, Malaysia, from October 27 to
30, 2025. Showcasing innovations across multimedia arts, computer science, and
engineering, the FEU Tech delegation demonstrated the institution’s growing
influence in international research communities.
The Multimedia Arts Department presented research
contributions reflecting the department’s strong integration of technology and
creative innovation.
MMA Director Ms. Alix delivered the paper “Design and
Implementation of an AI-Driven Academic Path Forecasting System Using
Sequential and Classification Models,” primarily authored by Dr. John Heland
Jasper C. Ortega.
Dr. Ortega meanwhile presented three papers, “Development of
a Smart Financial Tool for Computing High-Yield Savings in Digital Banks to
Advance Financial Literacy Through a Blended Agile Methodology”; “Design and
Implementation of an AI-Driven Academic Path Forecasting System Using
Sequential and Classification Models”; and “Integrating Generative AI into
Creative Workflows: A TAM-Based Investigation of AI Adoption in Video
Production and Editing”.
John Angelo M. Repollo discussed “A TAM-Guided Mobile
Solution to Support Mental Wellness in Higher Education.”
Michael P. Camacho talked about the “Ethical Design
Framework for Enhancing Accessibility in Graphic Platforms for Colorblind
Users”, a collaborative study introducing an ethical and inclusive design
framework aimed at improving accessibility for colorblind users across graphic
platforms. This was co-authored by Dr. Ortega.
From the Computer Science Department, Jeneffer A. Sabonsolin
shared his study on “Modified Viterbi Algorithm for Religious Text: A
Part-of-Speech Tagging for Waray-Waray,” contributing essential work to
Philippine language processing.
FEU Tech’s engineering faculty also made significant
contributions at TENCON 2025.
Mr. Bon Ryan P. Aniban of the Civil Engineering Department
talked about his “Particle Swarm Optimization–Artificial Neural Network Model
for Predicting Corrosion in Polypropylene Fiber-Reinforced Concrete,”
co-authored with Dr. Kevin Lawrence M. de Jesus and Engr. Donna Ville L. Gante.
His work highlighted the role of intelligent models in improving structural
durability and safety.
Dr. Pocholo James M. Loresco, Associate Professor in
Electronics Engineering, outlined the study “Machine Vision-Based Filipino Sign
Language Tutor with Static and Dynamic Gesture Recognition and Real-Time User
Feedback Using MediaPipe Frameworks.” The research showcased an innovative
assistive-learning technology aimed at advancing inclusive communication.
Through their diverse and impactful research, FEU Tech’s faculty reaffirmed the institution’s commitment to pushing forward research that transforms industries, empowers communities, and elevates Philippine innovation on the global map.