ÐÓ°ÉÂÛ̳

CCS’ Llantos chairs session at conference in Greece, publishes research on real-time pothole detection

Apr 29 2025

 

Prof. Orven E. Llantos, PhD, from the Department of Computer Science, College of Computer Studies at Mindanao State University – Iligan Institute of Technology (ÐÓ°ÉÂÛ̳-IIT), proudly represented the institution at the prestigious 16th International Conference on Ambient Systems, Networks and Technologies (ANT 2025) held in Patras, Greece. He served both as a Session Chair and a Research Presenter.

This year’s ANT conference maintained its rigorous academic standards, with only 95 papers accepted out of 306 submissions, resulting in an acceptance rate of approximately 31%. 

Prof. Llantos chaired ANT Session: ANT-S2, during which two significant papers were successfully presented: Enhancing Building Safety: A Brief Review of Agent-Based Modeling for Fire Evacuation Simulation” by Selain Kaserereka Kabunga, Ortega Kabwe, Maria Kinyanta, Audrey Kasongo, Godwill Ilunga, Katya Muhambya, Kyandoghere Kyamakya and “Analysis of Vehicle Breakdown Conditions of Motorcycle Food Delivery Riders with Demographics and Work Characteristics” by Shabna Sayedmohammed, Nafisa Nirjhor, Najlaa Abdulaziz, Maimouna Akther Tonny, Mohamed Kharbeche. 

Alongside chairing the session, Prof. Llantos presented his research co-authored with Leonhel V. Fortin, a Master of Science in Computer Application student from the Department of Computer Application, College of Computer Studies, ÐÓ°ÉÂÛ̳-IIT. Their paper, titled “,” has been officially published in Elsevier’s Procedia Computer Science.

The paper presents a comparative analysis of three lightweight object detection models—YOLOv9-tiny, YOLOv10-nano, and YOLOv11-nano—using a dataset of over 16,000 annotated pothole images. Their research highlights the models’ potential for real-time pothole detection on resource-constrained edge devices, contributing significantly to the field of AIoT applications for smart cities and intelligent transportation systems.

“This opportunity to present and publish at ANT 2025 not only validated the significance of our research but also inspired new avenues for collaboration with global researchers and institutions,” said Prof. Llantos. “We are driven by the goal of developing smarter, safer infrastructure systems through applied AI and IoT technologies,” he added.

The study builds upon the previously developed EyeWay system, a prototype AIoT solution for real-time pothole detection and map-based visualization, specifically designed for Philippine road conditions.

Prof. Llantos’ leadership at the conference and the international publication of his team's research reflect ÐÓ°ÉÂÛ̳-IIT’s growing presence in the global research community, particularly in the emerging areas of AIoT, smart infrastructure, and sustainable transportation.

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