Intelligent Environments (IE) are physical spaces where digital technologies are seamlessly embedded to support users and their contexts. These environments aim to enhance human experience, improve resource management, and promote environmental and situational awareness. 
 
As in previous editions of the Intelligent Environments conference, workshops will complement the main conference program by offering focused discussions on emerging and specialized topics.
 

The IE2026 workshops will take place on the first two days of the conference, June 15 and 16, 2026. Depending on the number of participants, workshops may be organized as half-day, full-day, or even two-day events.

Workshops: 

● ALLEGET– Workshop on Artificial intelligence and machine learning for Emerging Topics 
● CSAISCE– Cybernetic Systems: Applications to Inclusive Smart Cities Environments 
● DiDiT – International Workshop on Distributed Digital Twins 
● EDL-IE – Embedded Deep Learning for Real-Time Intelligent Environments 
● WISHWell – Workshop on Intelligent Environments Supporting Healthcare and Well-being 
● WORIE – Workshop on the Reliability of Intelligent Environments 

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.

Organizers:
Andrés Muñoz Ortega, Universidad de Cádiz (UCA), Spain 
Raquel Martínez-España, Universidad de Murcia (UM), Spain 
Fernando Terroso, Universidad Politécnica de Cartagena (UPCT), Spain 
Andrés Bueno-Crespo, Universidad Católica de Murcia (UCAM), Spain

Website: 
http://www.alleget.site/

CSAISCE – Cybernetic Systems: Applications to Inclusive Smart Cities Environments 

As urbanization accelerates, creating inclusive cities becomes imperative. This workshop explores how sensor systems can facilitate the design of smart cities that cater to all residents, especially vulnerable groups. By integrating accessibility, mobility, and real-time data analytics, it will be discussed how intelligent environments can be leveraged to promote equity and well-being in urban settings.

This workshop aligns with the conference’s goals by focusing on how sensor systems can enhance urban environments to be more inclusive and supportive of all residents and will address the following topics: .
(1) Smart Mobility Systems for All;
(2) Inclusive Urban Infrastructure;
(3) Data-Driven Personalization for Vulnerable Groups;
(4) Addressing the Digital Divide: Equity in Smart Cities;
(5) Cross-Disciplinary Collaboration for Inclusive Design.

Organizers:
Ivan Miguel Pires, Instituto de Telecomunicações & Universidade de Aveiro, Portugal
Fernando J. Velez, Instituto de Telecomunicações & Universidade da Beira Interior, Portugal

Website: 
to be announced

DiDiT – 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 does so by using 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, analyses, 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 and interconnected elements and sub-systems. Real-time representation of the complexity of such interconnections poses many scientific and industrial challenges. 

This workshop provides a discussion platform for academia and industry to investigate the topic of distributed digital twins, shed light on the issues and challenges and propose solutions for the problems of distributed ecosystems in large-scale cyber-physical systems.

Organizers:
Victoria Degeler – University of Amsterdam, Netherlands
Dilek Dustegor – University of Groningen, Netherlands
Heerko Groefsema – University of Groningen, Netherlands
Elena Lazovik – TNO (Netherlands Organisation for Applied Scientific Research), Netherlands

Website: 
to be announced

EDL-IE – Embedded Deep Learning for Real-Time Intelligent Environments 

The deployment of intelligent environments requires AI systems that are not only accurate but also efficient, reliable, and capable of operating under strict resource constraints. Deep learning has proven transformative in perception and decision-making tasks, yet running such models in real-time on embedded and edge devices remains a significant challenge.

This workshop aims to bring together researchers and practitioners to present advances in lightweight architectures, multimodal sensing, explainability, and privacy-preserving AI designed for real-world intelligent environments. The focus will be on bridging the gap between algorithmic innovation and practical deployment in domains such as smart homes, healthcare, transportation, and pervasive monitoring.

Organizers:
Luigi Celona, University of Milano-Bicocca, Italy 
Asterios Leonidis, FORTH, Greece and University of Crete, Greece 
Jalil Piran, Sejong University, South Korea

Website: 
https://sites.google.com/unimib.it/edl-ie2026

WISHWell – Workshop on Intelligent Environments Supporting Healthcare and Well-being 

The workshop will bring together researchers from both industry and academia from the 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. 

Organizers:
Juan Carlos Augusto, Middlesex University, UK
Anton Gradišek, Institut Jožef Stefan, Slovenia

Website: 
to be announced

WoRIE – Workshop on the Reliability of Intelligent Environments 

Intelligent Environments (IE) bring together software, sensors, communication networks, and diverse user needs to create systems that can transform everyday life. However, each component carries vulnerabilities: software is notoriously complex, sensors can fail, networks may be unreliable, and users often place systems under conditions that were never anticipated. These challenges are amplified by the fact that many IE applications directly affect human well-being—for instance, independent living systems that detect health emergencies or autonomous vehicles where even minor errors can have catastrophic outcomes. To mitigate these risks, the research and development community must establish rigorous, domain-specific standards and methodologies that extend beyond lessons learned from other fields.

This event aims to unite developers and researchers to confront these challenges, share innovative practices, and build greater trust and confidence in intelligent environments.

Organizers: 
Aditya Santokhee, Middlesex University, Mauritius Branch 
Juan Carlos Augusto, Middlesex University, U.K. 
Carlos Rodriguez-Dominguez, University of Granada, Spain

Website: 
to be announced