A number of workshops will complement the main conference program. Papers accepted in any of the workshops will be published in the proceedings of the event, which will be an open-access volume in the Book Series on Ambient Intelligence and Smart Environments Series (IOS Press).
13th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell 2024)
The workshop will bring together researchers from both industry and academia from various disciplines to contribute to this new edition of the International Workshop on Intelligent Environments Supporting Healthcare and Well-Being. This event previously joined forces with the International Workshop “PervaSense – Situation recognition and medical data analysis in Pervasive Health environments” and the workshop on “Smart Healthcare and Healing Environments”. Healthcare environments (within the hospital and the home) are extremely complex and challenging to manage from an IT and IS perspective, as they are required to cope with an assortment of patient conditions under various circumstances with a number of resource constraints. Pervasive healthcare technologies seek to respond to a variety of these pressures by integrating them within existing healthcare services. It is essential that intelligent pervasive healthcare solutions are developed and correctly integrated to assist health care professionals in delivering high levels of patient care. It is equally important that these pervasive solutions are used to empower patients and relatives for self-care and management of their health to provide seamless access for health care services.
- Prof. Juan Carlos Augusto, Middlesex University, London.
- Dr Anton Gradišek Institut Jožef Stefan, Slovenia
13th International Workshop on the Reliability of Intelligent Environments (WoRIE 2024)
This workshop is motivated by the need to develop higher quality Intelligent Environments (IEs) and to bridge the gap between theory and practice. Developing IEs is challenging due to the inherent unreliability of sensors, occasional instability of networks, and users challenging systems in unforeseen circumstances. The complexity arises from the fact that certain applications bear significant responsibility, especially in scenarios where they are entrusted with the well-being of humans. Consider, for instance, the growing interest in developing systems to support independent living. These systems aim to provide reassurance to elderly individuals and their families, relying on the system to address various needs, including safety concerns such as detecting falls or signs of illness. Another critical area is unmanned cars and other autonomous systems designed to undertake tasks with potential disastrous consequences if malfunctions occur. Given the complex nature of IEs, it is crucial for our community to establish appropriate standards and methodologies that inspire confidence in their development. This workshop therefore aims to serve as a forum whereby researchers and practitioners can actively discuss about how to make IEs more reliable, safer, and securer, as well as increasing user confidence in them.
- Aditya Santokhee, Middlesex University, Mauritius
- Prof. Juan Carlos Augusto, Middlesex University, London.
- Dr Carlos Rodriguez-Dominguez, University of Granada, Spain
6th International Workshop on Citizen-Centric Smart Cities Services (CCSCS 2024)
Smart Cities can be considered as a new paradigm or a concept that is emerging all over the world as a necessary and unavoidable response to the constant urban population growth and associated technical, material, social, and organizational problems, in order to improve the quality of life of their citizens, and to provide a more economic competitive, sustainable and livable city. Intelligent solutions to the referred problems, intended to control pervasive computing systems, such as citizen-aware intelligent environments, will help and contribute to the construction of a sustainable smart city, providing value-added, intelligent, adaptive, context-aware, user-centric and sustainability services. With the citizen as an active and proactive actor of the Internet of Things, reliable and definitive solutions for problematics such as smart home/smart building, smart energy, smart mobility, smart parking, smart health or citizen’s well-being, could finally emerge. The purpose of this workshop is to gather and present new and original research towards citizen-centric solutions within the ambit of intelligent environments and smart cities, capable of active context awareness, automatically changing their functioning in response to discovered context, enabling that way the improvement not only of city efficiencies, but also citizen’s quality of life.
- Fábio Silva, Polytechnic Institute of Porto, Portugal
- Ricardo Santos, Polytechnic Institute of Porto, Portugal
- Héctor Alaiz Moretón, University of Leon, Spain
- Cesar Analide, University of Minho, Portugal
4th International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET 2024)
Multimedia content, ranging from text, images, videos, to audio, obtained from users and physical devices, paves the way for a novel research avenue centered on the analysis and interpretation of multi-modal information. This research is giving place to Social Intelligent Environments as the result of a combination of IEs and online social networks (OSN) as the primary source of multimedia content. This workshop seeks mechanisms adept at extracting, fusing, and analyzing data from multiple sources based on Artificial Intelligence techniques, emphasizing the inherent data heterogeneity characteristic of OSN integrated as part of any Intelligent Environment.
- Andrés Muñoz, Universidad de Cadiz (UCA), Spain
- Andrés Bueno-Crespo, Universidad Católica de Murcia (UCAM), Spain
- Raquel Martínez-España, Universidad de Murcia (UM), Spain
- Fernando Terroso, Universidad Católica de Murcia (UCAM), Spain
1st International Workshop on Intelligent Environments for a Sustainable Agriculture (AGRO 2024)
The workshop is closely aligned with the overarching theme of IE2024, and is dedicated to exploring Intelligent Environments in the agri-food sector. The program is designed to address the data- and knowledge-driven challenges associated with the transition to sustainable agriculture and the enhancement of already existing sustainable agricultural systems. The workshop will explore the varieties of cutting-edge AI methods. These include explainable AI methods for building decision trees, rule-based models, etc., as well as less interpretable ones such as deep neural networks, support vector machines, and random forests. The workshop will provide opportunities to demonstrate their practical applications in extracting valuable knowledge from data and text, and will give a chance to discuss how they can be employed in autonomous technical systems for various precision agricultural topics (e.g., weed control, fertilisation, irrigation, harvesting, etc.). In addition, the workshop will also allow participants to show how AI results can be used in the development of decision models and advanced decision support systems. In particular, this could include their use in assessing and managing agricultural sustainable production or in improving supply chain sustainability. Improvements in end-user interaction with the smart agricultural environment could also be presented.
- Dr. Marko Debeljak, Jožef Stefan Institute
- Dr. Bojan Blažica, Jožef Stefan Institute
1st International Workshop on AI for Climate Resilient Smart City Infrastructures and Services (AI-CRSC 2024)
This workshop is centered around the innovative integration of Artificial Intelligence (AI) in developing climate resilient smart city infrastructures and services. As urban areas worldwide grapple with the challenges posed by climate change, there is an increasing urgency to reimagine city infrastructures – from transportation systems to energy grids – to be more adaptable, efficient, and sustainable. AI offers transformative potential in this realm, enabling smarter decision-making, predictive analytics, and enhanced operational efficiencies.Participants will delve into topics such as computer vision enabled smart city applications, AI-driven climate modeling, sustainable urban planning, and smart transportation systems and intelligent Virtual Twin. The workshop will also explore how AI can bolster city infrastructures against climate-induced extremes, like heatwaves, floods, and storms, ensuring continuity of essential services. Case studies showcasing successful AI integration in various global cities will be examined, providing practical insights and lessons learned. The workshop aims to foster a collaborative environment where city planners, policymakers, engineers, AI researchers, and environmental scientists can converge to discuss and develop solutions that are not only technologically advanced but also socially responsible and environmentally sound. Our goal is to pave the way for truly intelligent smart cities that are also resilient and responsive to the evolving climate landscape.
- Dr. Faiyaz Doctor, University of Essex, UK
- Dr. Charalampos Karyotis, Interactive Coventry Ltd, UK
- Dr. Rahat Iqbal, Dubai University (please verify affiliation), UAE
1st International Workshop on Intelligent Teaching and Learning Environments (WITLE 2024)
This workshop on Intelligent Teaching and Learning Environments workshop is designed to explore the state of the art of educational technology, with a particular focus on intelligent systems. Whether you are an educator eager to enhance your classroom strategies through such systems, or a technical professional looking to apply AI in the context of education, this workshop should offer you a dynamic exploration of the latest developments in and future of teaching and learning. This event will offer researchers, practitioners and other stakeholders a forum to share ideas, insights and experiences, as well as to explore multidisciplinary research advances within the context of an intelligent learning environment. Relevant topics for papers include, but are not restricted to “smart” buildings or classrooms, Virtual, Extensible or Mixed Reality environments, mobile or web-based teaching and learning systems that can interact with students and/or teachers, intelligent systems that support the learning of practical skills, such as in laboratories or workshops, “smart” assessment systems, approaches to building a more comprehensive intelligent campus infrastructure, or the effect of Large Language Models on education and assessment.
- Prof. Raúl Herrera-Acuña, Universidad de Tarapacá, Arica, Chile
- Dr. Zalihe Yarkiner, Cyprus International University, Nicosia, Cyprus
- Dr. Gordon Hunter, Kingston University, UK