The emergence of Intelligent Environments has been increasingly stimulated by the evolution and integration of areas in computing, such as the Internet of Things (IoT), Big Data, and Machine Learning. In this sense, considering the availability of large amounts of data and the interest in human-centered technologies, studies on technologies aimed at data analysis, personalization, and behavior become strategic. Decentralization of data processing, moving it closer to the data source or end user, is becoming more prevalent, improving efficiency, and reducing latency, which is crucial for real-time applications and the IoT. We can also mention improvements and trends in the use of Blockchain and Decentralized Technologies, which in addition to cryptocurrencies, are being explored for various applications, including smart contracts, identity management, and supply chains that make use of Security and Advanced Cybernetics.

Therefore, the workshop aims to evaluate, discuss, and present contributions to technological innovations and trends that can be applied based on traditional computing or future innovations that aim to outline the field of computing in the business, industrial, and academic context.

We intend to receive contributions of articles that describe innovative research and applications around the topics listed below. Articles that present overviews of current trends and advances involving the context of intelligent computing will be especially welcome. In this sense, we highlight the possibility of receiving articles approaching discussions of challenges and opportunities in the design, implementation, and management of these intelligent systems based on tests and simulations with concrete results. We will also encourage the submission of articles with showcases of innovative applications, case studies on technologies related to future computing and works promoting collaboration and knowledge exchange between researchers, industry experts, computing professionals, and other interested parties.


List of topics of interest:

  • Ambient intelligence
  • AI for Security
  • AI and Cyber physical defense
  • Blockchain
  • Behaviors technologies
  • Context-aware Computing
  • Context Histories
  • Communication protocols and applications
  • Data security in smart cities
  • Data privacy and trust cryptographic algorithms.
  • Human-centered technologies
  • Internet of Things
  • Management data privacy and trust in cloud computing
  • Mobile and Ubiquitous Learning
  • Smart Environments
  • Ubiquitous Computing


Paper submission and formatting guidelines

All papers must follow the formatting rules of CISTI’24 and be written in Portuguese, Spanish or English. A MSWord template is available at .

A double-blind peer review process will be followed to evaluate the submitted papers. This means that submissions should not include any information that allows for the identification of the authors, including e-mail, affiliation, or references to previous publications of the authors. This information should only be made available in the final version of paper, upon acceptance for presentation and publication. Should the authors need to include one or more references to previous work, this should appear in the bibliography section as “Self-Reference”, and be later replaced by the original reference, upon acceptance of the paper.

Papers should be submitted in PDF. However, the final version submitted after acceptance for publication should in MSWord format.

Papers can be submitted at,


Important Dates

  • Paper submission deadline: March 3, 2024
  • Acceptance notification: April 11, 2024
  • Camera-Ready papers and conference registration: April 21, 2024
  • Conference: June 25 to 28, 2024


Organizing Committee:

  • Valderi Leithardt, ISEL - Lisbon School of Engineering, Portugal
  • Jorge Luis Victória Barbosa, Unisinos - University of Vale do Rio dos Sinos, Brazil
  • Juan Francisco De Paz Santana, USAL - University of Salamanca, Spain


Program Committee:

Alexandre Cardoso, Federal University of Uberlândia, Brazil

Álvaro Lozano Murciego, University of Salamanca, Spain

Anita M. da Rocha Fernandes, University of Vale do Itajaí, Brazil

Anubis Rossetto, Federal Institute of Sul-rio-grandense, Brazil

Cesar Zeferino, University of Vale do Itajaí, Brazil

Claudio Fernando Resin Geyer, Federal University of Rio Grande do Sul, Brazil

Cristiano André da Costa, University of Vale do Rio dos Sinos, Brazil

Daniel H. De La Iglesia, University of Salamanca, Spain

Débora Nice Ferrari Barbosa, FEEVALE University, Brazil

Diego Manuel Jiménez Bravo, University of Salamanca, Spain

Fabricio Bortoluzzi, Noroff University College, Norway

Gabriel Villarrubia González, University of Salamanca, Spain

Humberto Moura , Federal Institute of Education, Brazil

João Elison da Rosa Tavares, University of Vale do Rio dos Sinos, Brazil

Jose Simão, ISEL-Lisbon School of Engineering, Portugal

Julio Cesar Santos dos Anjos, Federal University of Ceará, Brazil

Luis Augusto Silva, University of Salamanca, Spain

Luiz Henrique Andrade Correia, Federal University of Lavras, Brazil

Mario Vestias, ISEL-Lisbon School of Engineering, Portugal

Nuno Datia, ISEL-Lisbon School of Engineering, Portugal

Paul Crocker, University of Beira Interior, Portugal

Paulo Jorge Simões Coelho, Polytechnic Institute of Leiria, Portugal

Pedro Albuquerque Santos, ISEL-Lisbon School of Engineering, Portugal

Rafael Kunst, University of Vale do Rio dos Sinos, Brazil

Raúl García Ovejero, University of Salamanca, Spain

Rodrigo da Rose Righi, University of Vale do Rio dos Sinos, Brazil

Rogério Pereira dos Santos, University Lusófona Lisboa, Portugal

Rui Duarte, ISEL-Lisbon School of Engineering, Portugal

Stéfano Frizzo Stefenon, University of Udine, Italy

Wemerson D. Parreira, Pontifical University of Campinas, Brazil



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