Feb 26 2025
The Department of Computer Science (DCS) of the College of Computer Studies (CCS) has achieved a significant milestone with the publication of five Scopus-indexed research papers. The accomplishment highlights the department's dedication to advancing innovative solutions to real-world challenges. Notably, the publication of the paper on real-time tracking devices and nanoparticles dynamics exemplifies a collaborative effort with the College of Engineering and Technology (COET) and the College of Science and Mathematics (CSM), showcasing interdisciplinary research excellence. Here are the following research papers:
Authors: Orven E. Llantos, Olga Joy L. Gerasta, Jefferson A. Hora, Eddie P. Mondejar, Earl Ryan Aleluya, Jesrey Martin Macasero, Andrea Delos Santos, Preus Prixor P. Manulat, Rhonn Daniel Ruffin, Terrence Jefferson B. Cimafranca, Helmar R. Israel, Edejed A. Paculba
This collaborative work by researchers from CCS, COET, and CSM introduces Prototype-1, a lightweight tracker designed for precise real-time location monitoring using GPS and GSM technology. The 19-gram device demonstrates higher accuracy and consistency than commercial trackers, with potential applications in fields such as wildlife tracking and logistics.
Authors: Lucman M. Abdulrachman, Orven E. Llantos
This paper presents an innovative asynchronous collaboration tool to enhance the implementation of Scrum methodology in university software engineering projects. The tool bridges the gap between academic and industry practices, overcoming challenges like student time constraints and geographic dispersion. The study also introduces a "Sprint Chart" to evaluate team maturity in Scrum practices.
Authors: GC Neal Christian S. Clarin, Orven E. Llantos, Maynard E. Limbaco
Utilizing the Einstein-Langevin equation, this study explores nanoparticle behavior in seawater and blood. Findings indicate that nanoparticle diffusion in seawater is approximately 415% higher than in blood, offering benchmarks for therapeutic optimization in drug delivery and diagnostics. This article is the collaborative work between the Department of Computer Science from CCS and Department of Physics from CSM.
Authors: Leonhel V. Fortin, Arjean Rose V. Delos Santos, Pul Joven B. Cagud, Paul Rodolf Castor, Orven E. Llantos
This research tackles the limitations of traditional pothole detection with the development of the EyeWay system. Leveraging AIoT and YOLOv5m technology, the system achieves real-time pothole detection with a mAP of 91.8%, improving road safety and reducing maintenance costs.
Authors: Rachel Anne B. Balagbis, Trisha Mae P. Beleta, Sophia Nicolette C. Amasa, Shemaiah L. Montilla, Benjamin D. Mangondaya, Jennifer Joyce M. Montemayor, Malikey M. Maulana
This study employs YOLOv8 to streamline cell classification in the Allium cepa assay, which is used in anticancer research. With a mean average precision of 88.33%, the method significantly reduces manual labor, accelerating the discovery of novel anticancer agents.
Dr. Orven E. Llantos, a key contributor to these projects, emphasized the importance of interdisciplinary collaboration: “The success of these publications highlights how teamwork across colleges can drive innovation and address complex challenges. Together, we are advancing the frontiers of science and technology.”
These accomplishments affirm 缅北禁地-IIT’s status as a leading institution for research and innovation in the Philippines. By fostering collaborations across disciplines, the university continues to inspire groundbreaking discoveries that impact society.