Workshops will complement the main conferenceprogram of the Intelligent Environments 2025d. Papers accepted in any of the workshops will be published open access in the Book Series on Ambient Intelligence and Smart Environments (IOS Press).
The IE2025 workshops will be held on the first two days, June 23 and 24, 2025. Depending on the number of participants, half-day, full-day, and even two-day workshops are possible.
QUITE – Quantum, IoT, and Technologies for Secure Environments
This workshop will explore the intersection of Quantum Computing, the Internet of Things (IoT), and Computer Vision within Intelligent Environments (IE). As IoT devices and computer vision systems become more integrated into physical spaces, new security challenges arise, especially with the advent of quantum computing, which threatens traditional cryptographic methods. The workshop will discuss the implementation of Post-Quantum Cryptography (PQC) to secure resource-constrained IoT devices and delve into the potential of quantum computing to enhance computer vision tasks such as pattern recognition and image processing. This discussion is crucial for shaping the future of technology, setting the stage for a secure and intelligent future.
Organizer:
Chiara Pero, University of Salerno, Italy
Jin Li, Guangzhou University, China
Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
Carmen Bisogni, University of Salerno, Italy
Aniello Castiglione, University of Salerno, Italy
WITLE – Workshop on Intelligent Teaching and Learning Environments
This workshop on Intelligent Teaching and Learning Environments is not just a seminar, but an interactive exploration of 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 engage in lively discussions and 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.
Organizer:
Gordon J.A. Hunter, Kingston University, UK
Raúl Herrera Acuña, Universidad de Tarapacá, Chile
Zalihe Yarkiner, Cyprus International University, Cyprus
WISHWell – Workshop on Intelligent Environments Supporting Healthcare and Well-being
The workshop is dedicated to the crucial topic of Intelligent Environments Supporting Healthcare and Well-being. It will bring together researchers from various industry and academic disciplines to contribute to this new edition of the International Workshop. 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, whether in hospitals or homes, are highly complex and challenging to manage from an IT and IS perspective. They must cope with various patient conditions under diverse circumstances and with several resource constraints. Pervasive healthcare technologies aim to respond to these challenges by integrating them into existing healthcare services. The development and correct integration of intelligent, pervasive healthcare solutions are crucial to assisting healthcare professionals in delivering high levels of patient care. Equally important is the use of these pervasive solutions to empower patients and relatives to self-care and manage their health, providing seamless access to healthcare services.
Organizer:
Juan Carlos Augusto, Middlesex University, UK
Anton Gradišek, Jožef Stefan Institute, Slovenia
WORIE- Workshop on the Reliability of Intelligent Environments
Intelligent Environments (IE) is rising as one of the technical fields with the highest potential to impact daily human life soon. A complex juxtaposition of complex technical fields achieves developments in this area. Software is related to the architecture of a building, sensors, a network for data transportation, and different levels of users. Many of these elements are error-prone; software is notoriously difficult, and even companies like NASA, Microsoft, Intel, and BMW, which can afford powerful teams of experienced development teams, have paid lives, economic losses, and reputation missing to detect software bugs within their products. Sensors are often unreliable; networks are sometimes unstable, and users can put systems to the test in circumstances that were not initially foreseen. Developing this type of system is, therefore, complex, given that some applications will be given the tremendous responsibility to take care of humans. Think, for example, how much interest there is in developing systems to support independent living. These systems are intended to give peace of mind to older adults and their relatives, trusting that the system will be able to do many things for them, including safety-related issues like detecting whether the house’s occupant has fallen or is unwell in some way. Other examples are uncrewed cars and other autonomous systems that are supposed to perform tasks for us, which can have disastrous consequences if something goes wrong. Given the current state of the art, our community should develop appropriate standards and specific methodologies to ensure we do our best to deliver safe systems. Given the specific blend of components in our development area, we cannot just transfer developments to other areas (although they should be considered to inform the process). This event will unite developers and researchers to focus on all aspects of the development process that can make intelligent environments and related systems safer and more secure and provide methodologies to increase confidence in these developments.
Organizer:
Juan Carlos Augusto, Middlesex University, UK
Adityarajsingh Santokhee, Middlesex University Mauritius
ALLEGET – Workshop on Artificial intelligence and machine learning for Emerging Topics
Multimedia content, ranging from text, images, and videos to audio, obtained from users and physical devices, paves the way for a novel research avenue centered on analyzing and interpreting multi-modal information. This research gives place to Social Intelligent Environments by combining IEs and online social networks (OSN) as the primary multimedia content source. 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 into any intelligent environment.
This workshop is dedicated to developing intelligent solutions for social media processing that consider such inherent heterogeneity. By creating mechanisms capable of extracting knowledge from multimedia data posted by users on online social media platforms or the fusion of different types of data coming from these feeds, we can inspire and enable practical applications in the field of social media analysis.
Organizer:
Andrés Muñoz Ortega, Universidad de Cádiz, Spain
WISSA – 1st Workshop on Intelligent Systems for Smart Agriculture
The upcoming Workshop on Intelligent Systems for Smart Agriculture aims to bring together researchers, scientists, and engineers to address critical challenges in agriculture, environmental protection, and sustainable development. The conference will focus on integrating intelligent systems and AI technologies to enhance productivity and environmental stewardship across diverse natural, urban, and human-modified environments.
As agriculture grapples with escalating pressures from climate change and environmental degradation, the need for advanced data collection and management strategies has never been more pressing. However, there is a beacon of hope in the form of intelligent systems. These systems offer cost-effective, real-time solutions, enabling more detailed and timely assessments of environmental media (e.g., soils, water, and waste). They are crucial for managing heterogeneous and rapidly changing conditions in agricultural and environmental processes, aligning with the philosophy of the United Nations Sustainable Development Goals (UN-SDGs).
A key theme of this workshop will be deploying AI “at the edge,” addressing challenges related to communication limitations, energy efficiency, and adapting AI models to low-capacity processors. Participants will explore applications of these innovations in various fields, such as precision agriculture, culture management, monitoring of pollution and other contaminants, livestock and pests, and transformation processes of bioresources.
The workshop is not just a gathering, but a platform for inspiring interdisciplinary collaboration. It will feature discussions from fields including engineering, agriculture, environmental, and computer science. Attendees will engage in debates on the latest advances and challenges, and dedicated sessions will promote open discussions on the future directions of intelligent systems to address global environmental and agricultural challenges. Your participation is crucial in shaping the future of intelligent systems.
Organizer:
Gordon J.A. Hunter, Kingston University, UK
Luiz Angelo Steffen, Universityé de Reims, France
Raúl Parada Medina. Centre Tecnològic de Telecomunicacions de Catalunya, Spain
Anton Gradišek, Jožef Stefan Institute, Slovenia
Raquel Martinez España, Universidad de Murcia, Spain
Stefano Chessa, University of Pisa, Italy
Andrés Muñoz Ortega, Universidad de Cádiz, Spain
DiDiT 2025 – 2nd International Workshop on Distributed Digital Twins
A digital twin (DT) is a virtual representation of a physical object, system, or process (including cities and even ecosystems) synchronized with the real-world entity it replicates. It uses Internet of Things (IoT) technologies, such as sensors and actuators. Through the application of digital technologies, such as AI, data analytics, and computer simulations, a DT application can be used to experiment, simulate, analyze, adapt, and optimize the behavior, performance, and maintenance of the real-world counterpart, including its interaction with other objects or systems. However, large industrial systems often consist of complex, distributed, interconnected elements and sub-systems. Real-time representation of the complexity of such interconnections poses many scientific and industrial challenges.
This workshop is a testament to the power of collaboration between academia and industry. It provides a unique platform to explore the topic of distributed digital twins and to collectively identify and address the challenges of distributed ecosystems within large-scale cyber-physical systems. By fostering innovation and progress in the field, this collaborative effort can lead to significant advancements.
Organizer:
Dear Dilek Dustegor, University of Groningen, Nederland
CLEAR-AI- Workshop title Compliance, Legal, and Ethical Aspects of AI Regulation
Artificial intelligence (AI) ‘s rapid advancement has opened many transformative possibilities across numerous sectors. However, this rapid advancement also raises several profound legal and ethical questions. As AI systems are integrated into decision-making processes, concerns over accountability, transparency, bias, privacy, and the impact on human rights intensify. Addressing these challenges is urgent and requires robust regulatory frameworks to ensure that AI technologies are deployed in ways that protect individual rights, promote fairness, and mitigate risks associated with their growing influence on society.
The legal governance of AI represents a current and ongoing topic of discussion and debate, with various national and international frameworks being proposed to address the ethical, social, and legal challenges posed by AI technologies. The EU’s AI Act and the General Data Protection Regulation (GDPR) significantly provide European regulatory oversight. They set out basic rules that AI systems must comply with, including references to basic principles such as accountability, transparency, and fairness. The AI Act is designed to mitigate the risks associated with high-risk AI systems, safeguard human rights, and establish benchmarks for responsible AI innovation. The global and cross-border nature of AI further necessitates the examination of additional frameworks beyond Europe, including standards emerging from international organizations and non-EU countries, such as the OECD AI Principles, U.S. initiatives like the Algorithmic Accountability Act, and various sector-specific regulations.
This workshop serves as an interdisciplinary platform, connecting legal, ethical, and technical discussions to navigate the complexities of AI governance. Technical experts will gain insight into regulatory impacts on AI development, while legal professionals and researchers will better understand AI systems’ technical constraints and capabilities. Overall, the workshop aims to offer a comprehensive platform for researchers, academia, industry, and experts to discuss AI’s legal and ethical implications, focusing on how current regulations like the AI Act address these issues.
Organizer:
Gizem Gültekin-Varkonyi, University of Szeged, Hungary
Sabire Sanem Yılmaz’s, Sant’Anna School of Advanced Studies, Italy
Gordon J.A. Hunter, Kingston University, UK
Anastasia Nefeli Vidaki, Vrije University Brussel, Belgium
Anton Gradišek, Jožef Stefan Institute, Slovenia
Norbert Tribl, University of Szeged, Hungary