Call for Papers

21st International Conference on Distributed Computing and Artificial Intelligence (DCAI'24)

The 21st International Conference on Distributed Computing and Artificial Intelligence 2024 is an annual forum that will bring together ideas, projects and knowledge associated with distributed computing and artificial intelligence, and their application in different areas. This meeting will be held in University of Salamanca (Spain) within PAAMS'24, from 26th-28th June, 2024.

Nowadays, most computing systems, ranging from personal laptops/computers to cluster/grid/cloud computing systems, are capable of parallel and distributed computing. Distributed computing performs an increasingly important role in modern signal/data processing, information fusion and electronics engineering (e.g., electronic commerce, mobile communications and wireless devices). Particularly, applying artificial intelligence in distributed environments is becoming an element of high added value and economic potential. Research on Intelligent Distributed Systems has matured over the last decade and many effective applications are now being deployed. Artificial intelligence is changing our society. Its application in distributed environments, such as the Internet, electronic commerce, mobile communications, wireless devices, distributed computing, is becoming more widespread, and is becoming an element of high added value and economic potential, in both industry and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both academic and business backgrounds is essential to facilitating the development of systems that meet the demands of today's society. Technology transfer in this field is still a challenge and for that reason this type of contributions will be given special consideration at this symposium.


The topics of interest include, but are not limited to:

  • Intelligent Environments
  • Distributed Algorithms
  • Distributed Databases
  • Computer GRID
  • Cloud Computing
  • Edge Computing
  • Fog Computing
  • Multimedia and Distributed Animation Systems
  • Distributed Operating Systems
  • Real Time Systems
  • E-commerce and Electronic Business
  • Distributed Applications ICTs: trade, medicine, industry, the Internet, etc.
  • Implementation of AI Bioinformatics
  • Implementation of AI Biotechnology
  • Implementation of AI in the Development of Mobile Devices
  • Distributed Architectures
  • Multiagent Systems
  • High-performance Distributed Systems
  • Languages, Compilers, Planning, Load Balancing
  • Mobile and Wireless Systems
  • Security in Computer Systems
  • Software Engineering and Formal Methods
  • Distributed Intelligent Information Systems
  • Robotics and Control
  • Internet of Things (IoT)
  • Industrial Internet of Things (IIot)
  • Model Based Reasoning
  • Case Based Reasoning
  • Non-Monotonic Reasoning
  • Planning and Scheduling Tasks
  • Qualitative Reasoning
  • Reasoning Under Uncertainty
  • Temporal and Spatial Reasoning
  • Other Reasoning Models
  • Data Analysis and Big Data Techniques
  • Evolutionary Computation
  • Neural Networks
  • Reinforcement Learning
  • Other Learning Models
  • Applications of AI (TTIA)
  • Logic
  • Decision-Making Support System
  • Fintech or Financial Technology
  • Intelligent Interaction
  • Knowledge Management
  • Knowledge Representation

The aim of the Doctoral Consortium is to provide a framework as part of which students can present their ongoing research work and meet other students and researchers and obtain feedback on lines of research for the future.

The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.

All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim of providing detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.

The submissions should identify:

  • Problem statement
  • Related work
  • Hypothesis
  • Proposal
  • Preliminary Results and/or Evaluation Plan
  • Reflections


All papers must be formatted according to the LNNS template, with a maximum length of 10 pages (6 pages for Doctoral Consortia), including figures and references:


All proposed papers must be submitted in electronic form (PDF format) using the DCAI conference management system.

Review process

DCAI welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity.

The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the conference.


Accepted papers will be included in DCAI Proceedings. At least one of the authors will be required to register and attend the symposium, where they will present the paper, this will allow for its inclusion in conference proceedings. All the accepted papers will be published by Lecture Notes in Networks and Systems series of Springer Verlag.


Special Issues

Authors of selected papers from DCAI will be invited to submit an extended and improved version to special issues in different journals:

Extended versions of selected papers will be published in the International Journal of Interactive Multimedia and Artificial Intelligence (ISSN: 1989 - 1660, JCR (2022): 3,6 (Q3))

Special Issue on the Journal Sensors: “Internet of Things (IoT) and Cloud Computing Technologies for Smart Cities and Rural Areas: Sensing and Information Management Technologies” published in MDPI Sensors Journal (ISSN: 1424-8220, JCR (2022): 3.9 (Q1))

Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue "Advanced Architectures for Hybrid Edge Analytics Models on Adaptive Smart Areas" published in MDPI Electronics Journal (ISSN: 2079-9292, JCR (2022): 2.9 (Q2))

Special Issue on the Journal Future Internet: “Deep Learning in Recommender Systems” published in MDPI Future Internet Journal (ISSN: 1999-5903, JCR (2022): 3.4)

Authors of selected papers from DCAI and Co-located Events will be invited to submit an extended and improved version to a Special Issue published in ADCAIJ (ISSN: 2255-2863, JCR (2022): 1.4, JCI (2022): 0.09 (Q4)) indexed in DOAJ, ProQuest, Scholar, WorldCat, Dialnet, Sherpa ROMEO, Dulcinea, UlrichWeb, Emerging Sources Citation Index of Thomson Reuters, BASE y Academic Journals Database.

To Be Updated

General deadlines

  • Deadline (Maintrack and Special Sessions)

    15th March, 2024

  • Deadline (Doctoral Consortium)

    22nd March, 2024

  • Notification of acceptance

    26th April, 2024

  • Camera-Ready papers

    17th May, 2024

  • Conference Celebration

    26th-28th June, 2024

Advisory board

Kenji Matsui

Kenji Matsui, Osaka Institute of Technology (Japan)


Yuncheng Dong

Yuncheng Dong, Sichuan University (China)

Francisco Herrera

Francisco Herrera, University of Granada (Spain)

Tan Yigitcanlar

Tan Yigitcanlar, Queensland University of Technology (Australia)

Tiancheng Li

Tiancheng Li, Northwestern Polytechnical University (China)

Program committee

Ravikumar CV

Ravikumar CV, Vellore Institute of Technology University (India)

Pawel Sitek

Pawel Sitek, Kielce University of Technology (Poland)

Nasro Min Allah

Nasro Min Allah, Imam Abdulrahman Bin Faisal University (KSA) (Saudi Arabia)

Special Sessions Chairs

Rashid Mehmood

Rashid Mehmood, King Abdulaziz University (Saudi Arabia)

Goreti Marreiros

Goreti Marreiros, ISEP/GECAD (Portugal)

Organizing committee

Sascha Ossowski

Sascha Ossowski, King Juan Carlos University (Spain)

Sara Rodríguez

Sara Rodríguez, University of Salamanca (Spain)

DCAI conference