1st Workshop on Artificial Intelligence and Internet of Things for Digital Health (AIIOT4DH)

1st Workshop on
Artificial Intelligence and Internet of Things
for Digital Health (AIIOT4DH)

 in conjunction with the

IEEE/ACM Conference on Connected Health Applications,
Systems, and Engineering Technologies
IEEE/ACM CHASE 2021

https://conferences.computer.org/chase2021/index.html

December 16 – 17, 2021 Washington D.C., USA

Artificial Intelligence (AI) and the Internet of Things (IoT) are hot and well-established technologies now, and integrating them is becoming a common practice. The implementation of innovative solutions in healthcare is nowadays fundamental, AI and IoT are therefore strong drivers of the digital transformation. Combining AI and IoT will improve operational effectiveness and efficiency in the Digital Health domain. Specifically, new AI and IoT solutions can fully support medical staff, patients, and inventory tracking, chronic disease management, drug management, emergency room wait time reduction, remote health control. 

In this workshop, we are interested in receiving submissions related to innovative research, technical use cases, and project demonstrators covering one or more of the following main topics (not limited to):

  • AI and IoT for medical diagnostics
  • AI and IoT for wearable computing systems
  • AI and IoT for chronic disease management
  • AI and IoT for emergency room logistics
  • AI and IoT for privacy and trust in healthcare
  • AI and IoT for pandemic management
  • AI and IoT for health safety at work
  • Applications of smart environments for healthcare organization management

Technical Sponsors

Submission Instructions

Only electronic submissions in PDF will be accepted. Submitted regular papers must be written in English. Submitted regular paper should be no longer than 8 pages, and submitted short paper should be no longer than 5 pages. The submitted paper should be in standard IEEE conference format.

Please submit your paper through this link.

Best papers will be selected and invited to be submitted here: https://www.computer.org/digital-library/journals/tb/call-for-papers-special-issue-on-deep-learning-empowered-big-data-analytics-in-biomedical-applications-and-digital-healthcare

Paper Submission Terms and Conditions:

  • Authors must declare that the submission is original and has not been submitted to other venues or under consideration by other venues.
  • Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to CHASE’21 for review, and in the final camera-ready manuscript if accepted.
  • If the paper is accepted, at least one of the authors must register at full rate and present it in person at the conference. Only accepted, paid and presented papers will be published in the conference proceedings or Smart Health Journal.

Important Dates

Paper Submission: 31 August 2021, 11:59:59pm AoE (Extended Hard Deadline)
Acceptance Notification: 26 September 2021
Camera-ready Submission: 10 October 2021

Organizing Committee

General Chair
Giancarlo Fortino, University of Calabria and Sensyscal S.r.l. (Italy)

General co-Chair
Carmen Poon, GMed IT Ltd. (HK)

Program co-chairs
Raffaele Gravina, University of Calabria (Italy)
Christos Verikoukis, Telecommunications Technological Centre of Catalonia (Spain)
Wei Chen, Fudan University (China)
Joel Rodrigues, Federal University of Piauí, (Brazil)

Publication chair
Antonio Guerrieri, ICAR-CNR (Italy)

Publicity Chairs
Laura Verde, Università degli Studi della Campania “Luigi Vanvitelli” (Italy)
Xiaokang Zhou, Shiga University (Japan)

International Program Committee
Federico Alvarez, Universidad Politécnica de Madrid (Spain)
Serge Autexier, DFKI Bremen (Germany)
Mario Alessandro Bochicchio, University of Salento (Italy)
Anca Bocur, Philips Research (The Netherlands)
Pierangela Bruno, University of Calabria (Italy)
Francesco Calimeri, University of Calabria (Italy)
Michael Cooke, Maynooth University (Ireland)
Giuseppe De Pietro, ICAR-CNR (Italy)
Silvia Del-Din, Newcastle University (UK)
Daniela Giordano, University of Catania (Italy)
Antonella Guzzo, University of Calabria (Italy)
Matti Hamalainen, University of Oulu (Finland)
Mohammad Mehedi Hassan, King Saud University (KSA)
Mirjana Ivanovic, University of Novi Sad (Serbia)
Konstantinos Lampropoulos, University of Patras (Greece)
Wenfeng Li, Wuhan University of Technology (China)
Ye Li, SIAT (China)
Valeria Loscri, INRIA (France)
Mac MacLachlan, Maynooth University (Ireland)
Marco Manso, EDGE (Portugal)
Ladislau Matekovits, Politecnico of Turin (Italy)
Carolina Migliorelli Falcone, Eurecat (Spain)
Stavroula Mougiakakou, University of Bern (Switzerland)
Lorenzo Mucchi, University of Firenze (Italy)
Carlos Palau, Universitat Politecnica de Valencia (Spain)
Ildiko Peter, The University of Medicine, Pharmacy, Science, and Technology of Târgu Mures (Romania)
Barbara Re, University of Camarino (Italy)
Giovanna Sannino, ICAR-CNR (Italy)
Emiliano Schena, Campus Biomedico di Roma (Italy)
Vicente Traver Salcedo, Universitat Politecnica de Valencia (Spain)
Eloisa Vargiu, Cetaqua (Spain)
Eugenio Vocaturo, University of Calabria (Italy)
Nicholas Vretos, Centre for Research & Technology – Hellas (Greece)
Franco Zambonelli, University of Modena and Reggio Emilia (Italy)
Ester Zumpano, University of Calabria (Italy)