Workshop Description

In the era of healthcare digitalization, the integration of smart technologies plays a crucial role in transforming patient care significantly. This workshop seeks to unite experts, researchers, and professionals across various disciplines to explore the latest innovations in smart health solutions. By fostering discussions, sharing insights, and encouraging collaboration, the workshop serves as a unique platform at the forefront of smart health technologies. The primary goals are to advance the field, contribute to the development of more effective and secure solutions, and address ethical considerations.

MOBILE & WEARABLE TECHNOLOGIES

Investigation of new smart health applications based on mobile and wearable technologies.

AI FOR HEALTHCARE

Novel techniques to optimize Artificial Intelligence models for digital health solutions.

DIGITAL PHENOTYPING

Iidentification of patterns, trends, and potential indicators related to mental and physical health.

The first International workshop on Digital and Mobile Smart Health Systems (DM-SMARTHEALTH 2024) will be held in conjunction with the 10th International Conference on Smart Computing (SMARTCOMP 2024) 29th June - 2nd July, 2024 in Osaka, Japan.

Workshop papers will be included and indexed in the IEEE digital libraries (Xplore).

For additional information, read the Call for Papers or visit the SMARTCOMP 2024 website.

Call for Papers

As the healthcare landscape undergoes a digital transformation, integrating smart technologies plays a pivotal role in revolutionizing patient care. This workshop aims to bring together experts, researchers, and professionals from different research fields to delve into the latest advancements in smart health solutions, addressing critical topics that span from context-aware behavioral models, smart healthcare applications based on mobile and wearable technologies, digital phenotyping, novel techniques to optimize and develop more robust and reliable Artificial Intelligence models for digital health solutions, up to ethical challenges and privacy/security issues. This workshop provides a unique platform for participants to engage in discussions, share insights, and collaborate on the forefront of smart health technologies. By exploring these diverse topics, we aim to advance the field, ultimately contributing to the development of more effective, secure, and ethical smart health solutions

Relevant topics include but are not limited to:

  • Context-aware behavioral modeling techniques
  • Innovative approaches for collecting, labeling, and validating multimodal health and behavioral data
  • Novel smart health applications for early diagnosis, remote monitoring, and decision support systems based on wearable and mobile technologies
  • Middleware solutions for smart health and care systems
  • Decentralized architectures for mobile health solutions
  • Federated, Distributed, and Personalized learning solutions for privacy-preserving smart health
  • AI optimization techniques for smart and mobile health systems
  • Digital phenotyping: identification of novel digital biomarkers from IoT and commercial smart/wearable devices
  • Human-computer interaction solutions to support smart health applications
  • Social interaction analysis from personal mobile devices and social media
  • Synthetic data generation to support faster development of novel and robust AI solutions for digital healthcare
  • Causal AI for healthcare and precision medicine
  • Novel explainable AI approaches to improve trustworthiness in digital healthcare systems
  • Security, privacy, and ethical challenges in smart health applications

Papers including new datasets and clinical/on-the-field validations will be highly appreciated.

Submission and Registration

Authors are invited to submit technical or theoretical papers for presentation at the workshop, describing original, previously unpublished work, which is not currently under review by another workshop, conference, or journal. Papers should present novel perspectives within the general scope of the workshop. Accepted workshop papers will be included and indexed in the IEEE digital libraries (Xplore).

Papers may be no more than 6 pages in length. Authors can purchase one additional page for the camera-ready version. Papers above the page limits will not be considered for review or publication. All papers must be typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found on the IEEE website.

Submission must be made via EDAS using the following link: https://edas.info/N32036.

It is a requirement that all the authors listed in the submitted paper are also listed in EDAS. The author section of EDAS will be locked after the workshop submission deadline to ensure that conflict of interest can be properly enforced during the review process. If the list of authors differs between the paper and EDAS, the paper may not be reviewed. Each accepted workshop paper requires a full SMARTCOMP registration (no registration is available for workshops only) and in-person presentation. Papers that are not presented at the workshop will not be published in the proceedings.

IMPORTANT DATES

  • Paper submissions: March 31, 2024
  • Paper notification: April 30, 2024
  • Camera ready deadline: May 10, 2024

Program

TBA

Organization

General Co-Chairs

Mattia G. Campana

Dr. Mattia G. Campana
National Research Council of Italy, Italy

Nikil Dutt

Prof. Nikil Dutt
University of California, USA

Techincal Program Committee

Tristan Braud

Dr. Tristan Braud
HKUST, Hong Kong

Gabriele Civitarese

Dr. Gabriele Civitarese
University of Milan, Italy

Marco Colussi

Marco Colussi
University of Milan, Italy

Franca Delmastro

Dr. Franca Delmastro
National Research Council of Italy, Italy

Kyoungwoo Lee

Prof. Kyoungwoo Lee
Yonsei University, Korea

Pasi Liljeberg

Prof. Pasi Liljeberg
University of Turku, Finland

Cecilia Mascolo

Prof. Cecilia Mascolo
University of Cambridge,UK

Miroslav Pajic

Prof. Miroslav Pajic
Duke University, USA

Oleg Sokolsky

Prof. Oleg Sokolsky
University of Pennsylvania, USA

Publicity Chairs

Flavio Di Martino

Dr. Flavio Di Martino
National Research Council of Italy, Italy

Contacts

For further information or questions concerning the workshop, please contact the workshop organizers.

Email: dm-smarthealth@iit.cnr.it