From May 21 to May 23, 2026, the 12th International Conference on Geographical Information Systems
Theory, Applications and Management (GISTAM) and the 11th International Conference on Internet of
Things, Big Data and Security (IoTBDS) were held in Benidorm, Spain.

Àngel Ruiz, a PhD student, attended the IoTBDS conference to present a work-in-progress platform
designed to improve the applicability of AIoT systems using a cloud-fog-edge architecture by enhancing
the adaptability of ML models. The underlying idea is to group IoT devices into geospatial Communities
of Interest defined over Discrete Global Grid Systems, allowing devices within the same region to share
and reuse specialized models trained under comparable conditions. This approach was tested with a case
study on AVAMET temperature data by creating four geospatial regions and training region-specific GRU
models for temperature prediction. Results showed lower errors within regions than across regions,
supporting the use of geographically specialized models under heterogeneous conditions.
Leonardo Monteiro-Fialho, a PhD student, attended the GISTAM conference to present an open-source
framework to support public transport data management. The framework is conceived as a pipeline that
leverages widely adopted open-source building blocks and is orchestrated through standard cloud
deployment practices. It empowers agencies to transform raw feeds into actionable analytics, fostering
data-driven decision-making for improved service quality, resource optimization, and sustainable public
transport planning. This framework has been validated using a case study from the city of Reus, with
more than ten years of operational data (2015–2024).
Both papers will be soon available in the Conference Proceedings.