Guimarães (Portugal) - Hybrid

12th-14th July, 2023

5th International Congress on Blockchain and Applications

Guimarães (Portugal) | 12th-14th July, 2023 | blockchain-congress.net

The 5th International Congress on Blockchain and Applications 2023 will be held in Guimarães from 12th to 14th of July, 2023. This annual congress will reunite blockchain and artificial intelligence (AI) researchers, who will share ideas, projects, lectures, and advances associated with those technologies and their application domains. This meeting will be co-located with that of PAAMS’23.

Among the scientific community, blockchain and AI are seen as a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and AI should be used together. Combining blockchain mechanisms and artificial intelligence is still a particularly challenging task.

The BLOCKCHAIN’23 congress is devoted to promoting the investigation of cutting-edge blockchain technology, to exploring the latest ideas, innovations, guidelines, theories, models, technologies, applications and tools of blockchain and AI for the industry, and to identifying critical issues and challenges that researchers and practitioners must deal with in future research. We want to offer researchers and practitioners the opportunity to work on promising lines of research and to publish their developments in this area.


The proceedings of the previous edition are available:

https://link.springer.com/conference/blockchain

Springer

Special Issues

The Scientific Committee of the co-located conferences in collaboration with the guest editors will select the best papers from those presented in the conferences to be considered for publication in the following Special Issues:

ADCAIJ
Authors of selected papers from SSCt2023 will be invited to submit an extended and improved version to a Special Issue published in ADCAIJ (ISSN: 2255-2863, JCI (2021): 0,05(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 Completed

BLOCKCHAIN'22 awards

BEST PAPER

"SmartTwin: A blockchain-based software framework for Digital Twins using IoT" by Miguel Pincheira, Massimo Vecchio and Fabio Antonelli

BEST PAPER APPLICATION

"Are you what you claim to be? Attribute Validation with IOTA for Multi Authority CP-ABE" by Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga and Aitor Urbieta

2022 Smart Cities MDPI Best papers

MDPI Smart Cities

MDPI Smart Cities Best Speaker Award

Rim Abdallah for his presentation “Assessing Blockchain challenges in the maritime sector.”


MDPI Smart Cities Best Student Speaker Award

Karisma Karisma for his presentation “Blockchain Adoption in the Energy Sector: A Comprehensive Regulatory Readiness Assessment Framework to Assess the Regulatory Readiness Levels of Countries.”

2022 Electronics MDPI Best papers

MDPI Electronics

"Nature-inspired algorithms and individual decision-making" by Juan Manuel Sánchez-Cartas and Inés Pérez-Sancristóbal


"Real-time algorithm recommendation using meta-learning" by Guilherme Palumbo, Miguel Guimarães, Davide Carneiro, Paulo Novais, and Victor Alves


"A Flexible Agent Architecture in SPADE" by Javier Palanca, Jaime A. Rincon, Carlos Carrascosa, Vicente Julian, and Andres Terrasa


"A Hybrid Model to Classify Physical Activity Profiles" by Vítor Crista, Diogo Martinho, Jorge Meira, João Carneiro, Juan Corchado and Goreti Marreiros

2022 Systems MDPI Best Papers

systems

First Award: "The use of corporate architecture in planning and automation of production processes" by Zbigniew Juzoń, Jarosław Wikarek, and Paweł Sitek


Second Award: "Data Synchronization in Distributed Simulation of Multi-Agent Systems" by Paul Breugnot, Bénédicte Herrmann, Christophe Lang, and Laurent Philippe


Third Award: "The case for Somalia and Sudan debt relief. Insights from the evolution of HIPC countries using machine learning methods" by Tony Persico