AS PART of the annual Research Fortnight, the University opened a poster exhibit at the Main Building on Feb. 18, featuring research abstracts that integrate artificial intelligence (AI) tools and principles across various disciplines, including pharmacology, engineering, zoology, neuroscience, and physical therapy.
This year’s Research Fortnight, organized by the Office of the Vice Rector for Research and Innovation, centered on the theme “Artificial Intelligence in Research and Innovation.” The exhibit will be open to the public until March 1.
Here are the 18 featured research abstracts from the exhibit.
AI-powered pen
The study “iSULAT: Intelligent Stroke Utilization, Learning, Assessment, and Testing” introduced an AI-driven pen designed to assist in the early detection of neurodevelopmental conditions such as attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD).
A collaboration between the Faculty of Engineering and the College of Rehabilitation Sciences, iSULAT uses multiple sensors to collect handwriting data and wirelessly transmit it to a server for analysis.
The pen analyzes neurodevelopmental conditions through insights into penmanship components and handwriting patterns.
The project is led by Assoc. Prof. Edison Roxas, chair of the Department of Electronics Engineering. Other researchers from the Faculty of Engineering include Dean Angelo de la Cruz and Asst. Prof. Gabriel Geslani, while Assoc. Prof. Ivan Gomez and Asst. Prof. Paulin Espino represented the College of Rehabilitation Sciences.
Students and alumni Joseph Amores, Antonio Frias, Sophia de Leon, and Warren Cheng also contributed to the study.
Handwriting patterns of indigenous students
Using iSULAT, the study “AI-Enhanced Comparative Analysis of Handwriting Patterns in Philippine Indigenous Children” examined the unique handwriting characteristics of Indigenous students in the Philippines compared with their non-Indigenous counterparts..
It investigated differences in handwriting speed, stroke patterns, and pressure to improve Indigenous Peoples’ (IP) welfare and quality of education and promote inclusive development.
Findings revealed that Indigenous children write more slowly, apply less pressure, and complete strokes differently, highlighting challenges in traditional classroom settings.
The study suggested tailored educational interventions to address these differences and create more inclusive learning environments.
The researchers of this study were the same as those in the iSULAT innovation.
AI-driven drug design
Presented by the Research Center for the Natural and Applied Sciences (RCNAS), “AI in Pharmacology & Drug Discovery” demonstrated how AI can accelerate drug design by rapidly analyzing molecular structures, simulating interactions, and predicting compound behavior.
AI computational tools such as CytoScape, PhD PRABI, STRING, and Modeller were used for the modeling of biological molecules.
These tools improve the accuracy of predictions on molecular interactions, allowing researchers to map biological pathways with greater precision, which is crucial for identifying effective drug candidates.
They can also help identify new therapeutic targets, potentially leading to safer, more effective treatments for patients.
RCNAS researchers who contributed were Mark Devanadera, Prof. Agnes Llmasares-Castillo, Prof. Franelyne Casuga, Prof. Mary Corpuz, Prof. Ross Vasquez, Assoc. Prof. Minerva Daya, Assoc. Prof. Myla Santiago-Bautista, Prof. Librado Santiago, Assoc. Prof. Ruel de Grano, Assoc. Prof. Oliver Villaflores, and Asst. Prof. Leonardo Guevara, Jr.
Soil health optimization
“A Rule-based Model for Predicting the Changes in Soil pH After Subjecting to Biochar Application” focused on developing a rule-based machine learning model to predict how biochar affects soil pH.
Biochar, a carbon-rich, solid, and porous charcoal-like substance formed from organic materials, is widely known for its ability to sequester carbon and improve soil health.
Researchers examined factors like biochar type, application rate, soil properties, and pyrolysis temperature to predict soil pH changes using a rule-based machine learning system. The model provided guidance on the most effective biochar usage for maximizing soil fertility, crop productivity, and environmental benefits
It was produced by researchers from RCNAS and the Department of Chemical Engineering, including Asst. Prof. Beatriz Belmonte and alumni Sofia Andres, Louie Ducusin, and Elyssa Marcadejas.
AI ethics
The study “Ensuring Responsible Artificial Intelligence (AI) Adoption in the Philippines: Towards a Comprehensive AI Regulatory Framework” delved into the growing demand for AI and its transformative impact on society, the economy, and public services.
Asst. Prof. Frederick Rey from the Department of Philosophy collaborated with Lizan Perante-Calina, dean of the Graduate School of Public and Development Management of the Development Academy of the Philippines, to emphasize the need to harness AI for more efficient government functions while acknowledging the challenges of integrating AI responsibly.
The study underscored the importance of a human-centered approach to AI, highlighting the need to balance technological advancements with ethical concerns such as inequality and privacy.
Rey also examined the risks and extent of AI application in society in a separate study, “Algorithm and Hyper-Bureaucracy: Arresting Perverse AIs.”
The research looked analyzed the shift from human-driven governance to machine management, which showed the potential for increased social inequality and the loss of human input in important governance decisions.
Both studies called for careful regulation and ethical oversight to prevent AI from creating rigid and dehumanized systems.
Mapping endangered fauna habitats in Mindoro
The research “Identifying High Conservation Value Areas in Mindoro Using Environmental Modeling of Endangered and Elusive Fauna” focused on locating areas rich in endemic, endangered, and red-listed species in Mindoro for conservation efforts.
Using remote sensing technology, researchers non-invasively mapped habitats of species such as the tamaraw and Mindoro warty pig, prioritizing areas for protection.
The study employed environmental modeling to assess vegetation, leaf litter, and elevation, while also predicting the effects of climate change on these habitats.
The research was a collaboration between RCNAS, UST Graduate School, the Department of Biological Science, the University of the Philippines-Los Baños, the French-Filipino d’Aboville Foundation, Thai Nguyen University of Agriculture and Forestry in Vietnam, and Universitate Nova de Lisboa in Portugal.
Unlocking fungal potential
The Fungal Biodiversity, Ergonomics, and Systematics-Metabolomics (FBeS) Group at RCNAS presented “Biomining Fungal Natural Products: Endolichenic Fungi as Promising Sources of Bioactive Metabolites.”
Findings revealed that endolichenic fungi (ELF) from Ramalina and Usnea lichens inhibited the growth of harmful plant pathogens such as Colletotrichum and Cladosporium and exhibited stronger antioxidant properties than their host lichens.
The study suggested that ELF from fruticose lichens could be potential sources of biocontrol agents and antioxidants, offering sustainable and natural alternatives for plant disease prevention and cancer treatment.
Prof. Thomas dela Cruz, Asst. Prof. Jaycee Paguirigan, Asst. Prof. Sittie Macabago, and Asst. Prof. Melfei Bungihan contributed to the study.
Practical community masks
The UST Center for Health Research and Movement Sciences conducted a performance review of a community face mask, assessing bacterial filtration efficiency, water repellency, breathability, and compliance with essential safety standards.
Titled “Unraveling REwear: A Performance Review of REwear 1 & REwear 2” the study found that while both masks were effective and met safety requirements, REwear 2 performed better in filtering bacteria, with 73.3% efficiency compared with 52.9% for REwear 1.
REwear is a reusable community face mask developed by the Department of Science and Technology’s (DOST) Philippine Textile Research Institute (PTRI) to provide protection during the Covid-19 pandemic
The study highlighted the practicality and safety of both masks, recommending them for daily community use.
The research team included Prof. Valentin Dones III, Vergel Orpilla, Mark Serra, and Asst. Prof. Lyle Tangcuangco from the College of Rehabilitation Sciences.
Several students from the same college—Diego Alayu, Maria Carrillo, Maria Kalaw, Dana Lachica, Matthew Lagman, Rizza Pascua, Catherine Rodillo, John Salunat, and Caryl Tejada—also participated in the study.
Additional contributions came from Julius Leaño, Director of the Philippine Textile Research Institute (PTRI) from (DOST), and Kimberly Viron, a science research specialist at PTRI.
Physical therapy learning outcomes
The study “Outcomes-Insights: A Learning Analytics Dashboard for Entry-Level Physical Therapy Learning Outcomes in a University in the Philippines” focused on developing a prototype interface to help students monitor their learning habits and assist educators in identifying areas for improvement.
The Learning Analytics Dashboard (LAD) was designed to help students and educators better understand physical therapy learning outcomes through structured data analysis and personalized feedback.
The study involved multiple phases, including validating the structural model, creating the LAD prototype, and testing user experience with expert feedback.
By utilizing advanced models such as structural equation modeling and artificial neural networks, the study examined learning habits, student engagement, and areas for improvement.
The study was presented by Catherine Escuadra from the College of Rehabilitation Sciences.
Improving cancer care and rehabilitation
Assoc. Prof. Donald Manlapaz of the College of Rehabilitation Sciences examined the role of physical therapy in cancer rehabilitation in the study “Oncologic Physical Therapy Cancer Care in the Philippines: A Qualitative Inquiry into Challenges, Practices, and Innovations.”
The study highlighted the lack of standardized practices and formal educational training for physical therapists specializing in oncology, emphasizing the urgent need to address these gaps.
It also underscored the importance of developing formal guidelines and standardized practices for oncology physical therapy in the country.
Mental health assessment
To improve the assessment of self-harm and suicidal behaviors, the study “Translation and Adaptation of the Ottawa Self Injury Inventory (OSI) and Columbia Suicide Severity Rating Scale (CSSRS) for Filipino College Students” translated and adapted these key mental health tools for identifying at-risk individuals.
Through following a detailed process involving bilingual translations and expert input from Following a detailed process involving bilingual translations and expert input from mental health professionals, the study found that the OSI and CSSRS tools effectively assessed self-injury and suicide risk among Filipino college students.
The tools offer a standardized approach to identifying individuals in need of support, marking a significant step in addressing mental health challenges in the Philippines.
Researchers from the UST Hospital Department of Neuroscience and Behavioral Medicine and the UST Faculty of Medicine and Surgery contributed to the study: Samantha Inoncillo, Ernestine Baroña, Encarnita Ampil, Joseree Catindig-Dela Rosa, Ma. Lourdes Corrales-Joson, Frances Tamayo, Teresita Martinez, and Alejandro Baroque.
AI in classrooms
With AI integration becoming more prevalent in education, the study “AI Anxiety and Readiness Among English Language Teachers and Students: A Philippine University Case Study” examined attitudes toward generative AI in teaching English.
The research analyzed factors influencing these attitudes, comparing the perspectives of teachers and students and noting both shared concerns and differences.
While both groups expressed anxiety about AI’s impact on teaching quality, their readiness to adopt AI varied based on experience and perceived effectiveness. The study suggested that these findings could guide the drafting of AI policies in education
Maria de Guzman, Asst. Prof. Pia Tenedero, Wilfred Gapas, and Asst. Prof. Abigail Deabanico from the UST Department of English were key contributors to the research.
Refining teacher feedback
The study “Written Corrective Feedback Practices, Operational Assessment Decisions, and Reflections: Towards a Professional Development Workshop of the EAP Teacher as Rater” explored how English for Academic Purposes (EAP) teachers navigate feedback and assessment in writing classrooms.
It examined how teachers provide written corrective feedback, make key assessment decisions, and reflect on their role in group writing projects.
One of its findings was that the rise of AI in writing has added complexity to teachers’ evaluation and assessment methods.
The study recommended workshops to refine assessment strategies and prepare teachers for evolving academic writing demands and AI integration.
The study was presented by Senior Teacher Kristina Dichoso-Valerio from the English Subject Area of UST Senior High School.
Gen Z and AI
The study “Factors Affecting Perceived Behavioral Intention of Filipino Gen Zs Utilizing Text Generative Artificial Intelligence in Education: A Structural Equation Modeling Approach” examined how Gen Z students in the Philippines interact with AI tools in education.
It explored factors such as motivation, attitudes, and risks influencing their intent to use AI-based text generation tools.
Findings suggested that educational institutions should refine policies, design new curricula, and guide students on effectively using AI in their learning processes.
The research was conducted by Raphaela Albano, Aaron Basconcillo, Anne Dacayan, and Jean Orme from the UST Department of Industrial Engineering, under the guidance of faculty member and engineer Yoshiki Kurata.
Exam success prediction
The study “Determinants of Mathematics Teacher Candidates’ Success in the Licensure Examination for Teachers (LET) Using Machine Learning” developed a predictive model to identify significant factors influencing LET outcomes and optimize teacher preparation.
Results showed that variables such as age, geographic location, and academic performance in professional education courses significantly impact licensure exam success.
The study study introduced a machine-learning framework to help future teacher candidates enhance their exam preparation strategies.
Asst. Prof. Arturo Patungan Jr. from the UST College of Science, and Ma. Nympha Joaquin, a professor from the University of the Philippines-Diliman led the research.
Synodality
In light of the Catholic Church’s three-year Synod on Synodality, the study “The Lights and Shadows on the Present State of Catholic Christianity in the Philippines: Toward Becoming a Synodal Church” analyzed Catholicism’s current state and explored ways to foster a more inclusive and participatory Church.
Findings showed varying levels of clergy and laity engagement across regions, highlighting areas for improvement in community involvement.
The study stressed the importance of addressing these challenges to guide future efforts, strengthening the Church’s role both in the Philippines and in the broader Asian context.
The research team included Prof. Florence Navidad from the Faculty of Pharmacy, along with Prof. Pablito Baybado, Jr., Assoc. Prof. Allan Basas, Asst. Prof. Philip Fuentes, and Asst. Prof. Marites Redoña from the Institute of Religion.
Fr. Vladimir Echalas, head of the Catholic Bishops’ Conference of the Philippines Research Office, was also part of the team, while UST Secretary General Fr. Louie Coronel, O.P., and Prof. Joel Sagut from the Institute of Religion served as research consultants.
Daphne Santos, Heather Andres, Earlynne Castillo, Romer Salud, and Ruth Andaya provided project assistance.
Mental health among college students
To address mental health challenges among college students, “Critical Reflections and Adaptive Strategies: Implementing Socioemotional Learning Modules in University Settings,” highlighted the integration of socioemotional learning (SEL) in higher education to support both emotional and academic development.
It underscored the value of SEL in enhancing students’ emotional intelligence, helping them manage personal and professional challenges more effectively.
Using a participatory action research approach, the study engaged students, faculty, and researchers in designing and refining SEL modules. This collaborative method ensured the creation of adaptable and effective strategies tailored to university environments.
The study was conducted by researchers including Prof. Maria Calimag from the UST Faculty of Medicine and Surgery; Prof. Ma. Claudette Alvarez-Agnes, assistant dean of the College of Science; and Assoc. Prof. Carmina Vicente from the College of Education.
The team also included Medicine Dean Ma. Lourdes Maglinao, Lynmarie Cabaron-Balaan from the Career and Counseling Center, Jocelyn Yatco-Bautista from the Neuroscience and Behavioral Medicine Department at UST Hospital, and Ruth Andaya and Marie Narag from the Research Center for Health Sciences.
