Call For Papers

Download CFP

Important Dates

June 15th, 2023

Abstract submission.

July 15th, 2023
July 25th, 2023 (extended)

Paper submission.

September 15th, 2023


September 25th, 2023

Camera ready version.

November 28th to November 30th, 2023

Conference dates.

Track Topics

Smart Environmentss

  • Design principles and guidelines
  • Using Digital Twins for smarter environments
  • Data capture and intelligent sensing at the edge
  • Generation of Synthetic data
  • Collection, cleansing, processing, distribution and storage of data
  • Application of machine learning and artificial intelligence
  • Adaptive monitoring and alerting
  • Activity recognition and behavioral analysis
  • Interventions and applications for Connected Health
  • Decision support for increasing quality of life
  • Evaluation of Living Labs and Smart Homes
  • Cross-industry development towards Industry 5.0
  • Robotic integration in Smart Environments
  • Sustainable Smart Environments
Track Smart

Human-Computer Interaction

  • Natural User Interface
  • Human-Centric Interfaces for AmI environments
  • Multimodal Interface
  • Context-dependent Systems
  • Novel input devices
  • Human-Ambient Interaction
  • Mobile or Affective Interfaces
  • Ubiquitous and ambient displays
  • User experience in Ambient Computing
  • Interaction with smart objects
  • HCI and Artificial Intelligence
  • Human Factors in HCI

AmI for health & (A3L) (Ambient, Active & Assisted Living)

  • The latest developments in ambient intelligence and applications in healthcare.
  • Wearable and portable devices for health monitoring and promoting wellbeing
  • The role of AI and machine learning in promoting A3L
  • Robotics and human-robot interacion for providing support in ambient assisted living environments
  • Privacy, security, and ethical considerations in ambient active and assisted living
  • Smart homes and ambient intelligence for supporting independent living
  • User-centered design and user experience in health environments
  • Data analytics and big data in ambient assisted living research and practice
  • Evaluation and validation of ambient assisted living systems and applications
  • Ambient assisted living and aging in place
  • Ambient assisted living and chronic disease management
  • Active aging and healthy living.
  • Business models and commercialization of ambient assisted living products and services
  • Synthetic data in medical and health research
  • Improving healthcare using medical digital twin technology
  • Responsible AI in Healthcare
  • Digital interventions for depression, mental health issues and quality of life improvement
  • Empowerment and digitalization in healthcare
  • Sustainable smart healthcare and co-creation processes
  • Knowledge management for health: context, cognition, behaviour, and user modelling
  • Education, training, and e-Learning systems in Health domains

Internet of EveryThing (IoT + People + Processes) and Sensors

  • IoE (IoT included) enabling technologies, techniques and methods.
  • IoE application and services.
  • Current and future trends in IoE.
  • IoE societal impacts and Ethical implications of IoE.
  • Security, privacy and trust in IoE.
  • IoE interoperability, integration and performance.
  • IoE experimental results and deployment scenarios.
  • Human factors in IoE.
  • AI for the embedded IoT/IoE and Edge computing.
  • Sensor circuits and devices design, integration and combination.
  • Scalable IoT architectures, protocols and algorithms of sensor networks.
  • Energy Efficiency and Sustainability, resource allocation, quality of service (QoS) and fault tolerance in Sensor Networks.
  • Applications of hybrid sensor networks.
  • Innovative real-world sensor deployments and applications.
  • Sensor and actuator technologies in ambient assisted living contexts.

Data Science

  • Modeling, visualization, personalization, and recommendation in Data Science
  • Mining and/or integration from multi-sourced or multi-modal data, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data
  • Knowledge discovery and pattern recognition through machine learning, statistical learning methods, deep analytics, and deep learning
  • Data science for specific AmI and Ubiquitous computing application domains, such as scientific, healthcare, business, entertainment, government, and agriculture
  • Using massive data to support decision-making in AmI environments
  • Efficiency, scalability, security, and privacy issues in data science
  • Envisioning a field of data science and analytics in AmI and Ubiquitous Computing.
  • Lessons learned in data science and analytics of AmI and Ubiquitous Computing

Paper Submission

UCAmI invites high quality contributions describing significant, original and unpublished results for submission in the following categories:

Long papers

Max. 12 pages

Intended to allow presentation of academic research results of high quality. Submissions must contain an original contribution and may not have already been published in another forum, nor be subject to review for other conferences or publications. Contributions should include unpublished results of research, case studies or experiences that provide new evidence about the research or application regarding to the main topics. Articles accepted in this category will be published in the proceedings of the event. Long papers must not exceed 12 pages (including figures and appendices).

Short papers

Max. 6 pages

Intended to allow presentation of ongoing studies with partial (however, significant) results. Submissions must contain an original contribution and may not have already been published in another forum, nor be subject to review for other conferences or publications. Articles accepted in this category will be published in the proceedings of the event. Short papers must not exceed 6 pages (including figures and appendices).

Please ensure that your papers are formatted correctly and are within the specified page limits. Author information and templates are available in Information for LNNS Authors web, or downloading the templates here for Latex and Word. All papers should be written in English.

Submission Procedure

All submissions should be made by the CMT de Microsoft platform and must follow the LNNS (Lecture Notes in Networks and Systems) Formatting Guidelines. Details of the paper submission process will be announced soon through the website of the conference. You can submit your paper through the following: