International Conference on Technology Innovations for Crisis Management Vol.01 [ICTICM] 2026

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Author: search.filters.author.Lokuliyana, S

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    PublicationOpen Access
    A Data-Driven Framework for Prioritizing Post-Disaster Non-Food Relief Needs: Evidence from District-Level Analysis following the ”Dithwa” disaster in Sri Lanka
    (Sri Lanka Institute of Information Technology, 2026-05-21) Lokuliyana, S; Wijesiri, P; Jayakody, A; Peiris, H
    Effective disaster response requires timely and data-driven allocation of relief resources. This study presents a statistical analysis of district-level and camp-level non-food relief requirements following the Dithwa disaster in Sri Lanka. A consolidated dataset comprising multiple districts and relief camps was analyzed using descriptive statistics, frequency analysis, cross-tabulation, and inferential statistical tests, including the Chi-square test and Kruskal–Wallis test. The results reveal that relief demand is highly heterogeneous across districts, with a small number of regions accounting for the majority of total requirements. Shelter and bedding items dominate the demand profile, followed by water, sanitation, and hygiene (WASH) supplies, indicating significant needs related to temporary living conditions and public health. Frequently requested items such as bed sheets, blankets, and sanitary packs suggest the feasibility of developing standardized core relief packages. However, statistically significant differences across districts highlight the necessity for adaptive, location-specific allocation strategies. The findings demonstrate the value of transforming operational disaster data into structured statistical insights to support evidence-based decision-making. The proposed approach contributes to improving resource prioritization and enhancing the efficiency of humanitarian response planning in disaster-prone regions.
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    PublicationOpen Access
    Smart-Camp Box: An Integrated IoT and Artificial Intelligence Framework for Safety, Communication, Learning Assistance, and Resource Optimization in Disaster Relief Camps
    (Sri Lanka Institute of Information Technology, 2026-05-21) Kashmira S S; Hansana G P; Deerasinghe A D S N S; Jayakody, A; Lokuliyana, S
    Natural disasters continue to inflict devastating consequences on communities across South Asia, with Sri Lanka ranking among the most frequently affected nations in the region. When disasters strike, temporary relief camps serve as critical shelters for displaced populations; however, existing systems fail to address three persistent operational challenges simultaneously: camp-level flood and landslide prediction, psychological and attentional readiness assessment for displaced children, and resilient communication under degraded network conditions. This paper presents the Smart Camp Box, an integrated, portable IoT-based framework that addresses all three dimensions through tightly coupled sub-systems. The first sub-system provides location-aware environmental risk monitoring using GPS/GNSS, IoT sensors, DEM integration, and a machine learning prediction model. The second introduces the Psycho-Attentional Gated Educational System (PAGES), an offline-first application for assessing and supporting displaced children's cognitive readiness. The third proposes a Semantic-Aware Adaptive Message Prioritization (SAAMP) framework for reliable MQTT communication under constrained network environments. Currently in active development, the Smart Camp Box represents a paradigm shift toward proac