Conference Agenda

The CrossLab architecture allows for the configuration of distributed experiments by connecting the services offered by laboratory devices. The remote laboratory GOLDi will be adapted to use this new architecture. An integral component of GOLDi is WIDE which allows students to program within the context of an experiment. By redesigning WIDE to support the new underlying CrossLab architecture new features have been added like debugging and testing capabilities as well as real time collaboration.

Remote labs have gained popularity for their flexibility, accessibility, and cost-effectiveness. They come in two main types: real-time remote labs, where learners operate equipment remotely, mimicking in-person experiences, and ultra-concurrent labs, which use pre-recorded experiments to support multiple users simultaneously. While real-time labs provide hands-on interaction, they face challenges like scheduling conflicts and environmental dependencies, which ultra-concurrent labs overcome by removing logistical barriers.This paper introduces a web-based ultra-concurrent remote lab builder platform that aims turn real-time remote labs into ultra-concurrent remote labs. Our goal is to attenuate the limitations associated with real-time lab access, especially for long or condition-dependent experiments. We also present a case study focused on an existing real-time Photovoltaic (PV) Solar Remote Lab, which faced challenges when used in real-world settings, due to weather dependencies, long running experiments, and high student demand. The lab was turned into an ultra-concurrent version, enabling learners to study photovoltaic efficiency across different altitudes and conditions without requiring real-time access. The proposed platform effectively addresses limitations in existing remote lab models by providing a user-friendly solution for creating ultra-concurrent labs.

Educational remote laboratories augmented with digital twinning technologies have the potential to revolutionize learning in Electrical and Computer Engineering (ECE) and Computer Science (CS) education by bridging the gap between theoretical concepts and practical application. Traditional access to advanced laboratory equipment is often hindered by geographic and institutional limitations, reducing opportunities for hands-on experiences. By combining remote laboratories with digital twins—virtual representations of real-world systems—students can engage with immersive, interactive environments that enhance their understanding of complex engineering concepts. The REDTAIL project seeks to develop an ecosystem that leverages these tools to improve laboratory experiences, fostering deeper learning and preparing students for practical applications in engineering fields. This paper seeks to introduce REDTAIL at a high level and outline the current progress in its development.

As a result of the serious natural changes we are experiencing, the subject around ecology has gained interest, and the need for environmental preservation is driving significant efforts to reduce ecological footprints. This has resulted in a considerable trend toward the handling of eco-friendly devices that use resources in a sustainable manner. The concept of SmartEnvi, which includes SmartFlora Technology (SFT), is an innovative and complex system for the future of urban gardening and microclimates that integrates smart technologies and sustainable practices to develop optimal life care solutions and transform urban areas into green smart environments (GSEs). The integration of Linear Programming (LP), Graph Theory (GT), and Discrete-Time PID Controllers (DT-PID) should lead to enhanced plant growth and reduced resource consumption. Based on anticipated results, SmartEnvi has the potential to significantly expand smart plant care by innovatively merging technology and sustainability.

Air quality monitoring is critical for protecting public health and supporting environmental policy, particularly in urban areas of developing countries. This paper presents the design and implementation of a cost-effective M-IoT system for real-time monitoring and mapping of air quality, with a case study conducted in the micro-downtown of San Salvador, El Salvador. The system integrates portable IoT nodes equipped with MEMS and MOx sensors capable of detecting TVOCs, eCO2, and environmental parameters such as temperature and humidity. Data are collected in 30-second intervals and transmitted via GSM (2G) to a cloud-based IoT platform for processing and visualization. The system uses GIS heatmaps to provide a dynamic spatial representation of air quality across the urban landscape. The field test results revealed Good to Excellent air quality in pedestrian areas, with Moderate pollution levels near high-traffic zones. The system performed reliably throughout the test, demonstrating its potential as a scalable, low-cost solution for air quality monitoring in resource-constrained environments. Future work will focus on expanding the monitoring scope, integrating additional pollutants, and exploring advanced communication technologies to enhance system performance.