CCS students and faculty present research at IEEE CyberSciTech and PICom 2025; papers indexed for Scopus publication

Nov 11 2025

The College of Computer Sciences (CCS) continues to lead in artificial intelligence, blockchain, and educational technology research after virtually presenting ten pioneering studies at two flagship IEEE conferences — the 2025 IEEE Cyber Science and Technology Congress (CyberSciTech) and its collocated IEEE Conference on Pervasive and Intelligent Computing (PICom), on October 21-24, 2025, conducted in a hybrid format, both via Zoom and on-site in Hakodate, Japan.

All accepted papers are set to appear in the IEEE Xplore Digital Library and be indexed in Scopus, further expanding 麻花星空视频-IIT’s portfolio of internationally recognized research outputs.

The list of research papers presented by the CCS featured studies on intelligent paradigms and their applications across various domains of pervasive computing, as well as topics related to cyber science, technology, and its applications:

Undergraduate Research Presented Virtually at IEEE CyberSciTech 2025

Simulating the Spread of Antimicrobial Resistance in Agricultural Ecosystems Using an Agent-Based Approach with Parallelization

Authors: Kyla C. Reambonanza and Orven E. Llantos
Description: Models antimicrobial-resistance transmission among livestock and humans through NetLogo and Python parallelization, showing that mutation rates significantly influence infection spread.

Cognitive Decline Trajectories in Dementia Patients Using Monte Carlo Simulation and Parallel Computing

Authors: Lavigne Kaye S. Sistona and Orven E. Llantos
Description: Uses Monte Carlo simulations to visualize individualized cognitive-decline paths influenced by genetics and lifestyle factors.

A Parallelized Agent-Based Optimization Framework for Jeepney Routes with Integrated Passenger Behavior Simulation

Authors: Gio Kiefer A. Sanchez and Orven E. Llantos
Description: Employs a modified Dijkstra’s algorithm and multi-threading to shorten commute times by 15–25 percent through passenger-behavior modeling.

Parallelized Monte Carlo Simulation for Disaster-Adaptive Last-Mile Logistics Amidst Flood and Landslide Risks

Authors: Ian Gabriel D. Paulmino and Orven E. Llantos
Description: Develops a disaster-resilient logistics model achieving 3.36× computational speed-up using stochastic rainfall-based routing.

Graduate and Collaborative Research Highlights

Design of KahibawHub: A Blockchain-Integrated Mobile Platform for Trusted Educational Content Sharing

Authors: Darllaine R. Lincopinis, Glyrhiz Marhiel A. Tabamo, Flordeliza N. Aguirre, Mindell Rey C. Aguirre, Lorie M. Cagalitan, Jiu Alx R. Tabilla, and Orven E. Llantos
Description: A collaboration between 麻花星空视频-IIT, Western Mindanao State University-Pagadian Campus, and Central Mindanao University introducing KahibawHub, a blockchain-enabled OER platform ensuring verifiable, transparent, and scalable educational-content sharing.

Explainable AI for Pothole Detection: Comparing YOLOv9-tiny, YOLOv10-nano, and YOLOv11-nano through LayerCAM Visualization

Authors: Leonhel V. Fortin and Orven E. Llantos
Description: Benchmarks lightweight vision models for road-defect detection using LayerCAM to visualize model attention, establishing new explainability standards for infrastructure AI.

麻花星空视频-IIT at IEEE PICom 2025: AI for Education, Language, and Civic Accessibility

A Multilingual NLP Pipeline for Semantic Enrichment and Search of Local Government Ordinances: A Case Study from Davao Oriental

Authors: Malikey Maulana and Jheanel Estrada, PhD (Technological Institute of the Philippines)
Description: Creates a multilingual NLP system that simplifies and translates ordinances into Cebuano using Qwen2.5-1.5B-Refiner, NLLB-200, and FAISS, improving legal transparency and accessibility.

A Context-Aware Intelligent Tutoring Framework for Grammar Modeling Using Large Language Models

Author: Liezil Daberao
Description: Proposes a context-aware grammar-tutoring framework that integrates LLMs to provide adaptive feedback and real-time learner support.

Towards Personalized Programming Instruction Using Generative Language Models

Authors: Julieto E. Perez and Jennifer Joyce M. Montemayor
Description: Explores GPT-based models to generate pedagogically diverse programming explanations; a fine-tuned GPT-2 model demonstrates potential for adaptive coding education.

Internally Funded Research Recognized Internationally

CyberShield: A Proposed Model for Building Cyber Resilience in Secondary Education

Authors: Mia Amor C. Tinam-isan, January F. Naga, Haron Hakeen Lua, and Lomesindo Caparida
Description: Analyzes cybersecurity awareness among 767 high-school students and designs a NIST-aligned CyberShield framework to foster safer online behavior.

Towards Personalized Programming Instruction Using Generative Language Models

Authors: Julieto E. Perez and Jennifer Joyce M. Montemayor
Description: An internally funded project later featured at PICom 2025, showcasing 麻花星空视频-IIT’s capacity to translate campus-based AI research into global academic discourse.

A Context-Aware Intelligent Tutoring Framework for Grammar Modeling Using Large Language Models

Author: Liezil Daberao
Description: Another 麻花星空视频-IIT-funded initiative presented internationally, integrating LLMs for personalized grammar instruction and feedback.

These studies exemplify 麻花星空视频-IIT’s collaborative research culture and its dedication to advancing science that serves communities, and further reinforce the University’s role as a national leader in AI, simulation, and digital innovation, proving that Mindanao-grown research can make a global impact.

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