Open access peer-reviewed Edited Volume

Blockchain Potential in AI

Tiago M. Fernández-Caramés

University of A Coruña

Tiago M. Fernández-Caramés works since 2016 as an Assistant Professor in the area of Electronic Technology at the University of A Coruña (UDC) (Spain), he has contributed to more than 40 papers for conferences, to 40 articles for JCR-indexed journals, and to two book chapters, within his current research fields.

Co-editor:

Paula Fraga-Lamas

University of A Coruña

Dr. Fraga-Lamas has over 60 contributions in indexed international journals, conferences, and book chapters, and 4 patents, she has also been participating in over 30 research projects funded by the regional and national government as well as R&D contracts with private companies.

Covering

Blockchain Artificial Intelligence Machine Learning Deep Learning Distributed Ledger Technologies Smart Contract Industry 4.0 Internet of Things Industrial IoT Bayesian Networks Data Privacy Decentralized Applications

Register your interest in contributing to this book

Collaborate with our community and contribute your knowledge.

About the book

In the last years, blockchain and distributed ledger technologies (DLTs) have evolved significantly with the objective of providing secure communications, data privacy, cyber-attack resilience and easy deployment/maintenance in multiple fields. Such an evolution, together with the advances in smart contracts, can play a relevant role in the future of decentralized applications. Moreover, Artificial Intelligence (AI) and its different sub-disciplines (e.g., Machine Learning, Deep Learning, Bayesian networks) can enhance blockchains and DLTs in order to provide advanced features like autonomous decision-support systems or intelligent blockchain-enabled services. Furthermore, AI-based applications can benefit from blockchains and DLTs thanks to their ability to allow for accessing trustworthy shared data in insecure environments like the Internet. In this complex scenario, this book looks for shedding light on the potential of the joint use of blockchain and AI, both from a theoretical and a practical point of view, in order to guide the next generation of researchers and developers of AI-enabled blockchain/DLT-based applications.

Publishing process

Book initiated and editor appointed

Date completed: November 6th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: December 4th 2020

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Register for the book

Approved chapters written in full and submitted

Deadline for full chapters: February 2nd 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 23rd 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 22nd 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Tiago M. Fernández-Caramés

University of A Coruña

Tiago M. Fernández-Caramés (Senior Member, IEEE) has worked since 2016 as an Assistant Professor in the area of Electronic Technology at the University of A Coruña (UDC) (Spain), where he obtained his MSc degree and PhD degrees in Computer Science in 2005 and 2011. Since 2005 he has worked in the Department of Computer Engineering at UDC: from 2005 to 2009 through different predoctoral scholarships and between 2007 and 2016 as Interim Professor. His current research interests include IoT/IIoT systems, RFID, wireless sensor networks, augmented reality, embedded systems and blockchain, as well as the different technologies involved in the Industry 4.0 paradigm. In such fields, he has contributed to 40 papers for conferences, to 35 articles for JCR-indexed journals and to two book chapters. Due to his expertise in the previously mentioned fields, he has acted as peer-reviewer and guest editor for different top-rank journals, and as project reviewer for national research bodies from Austria, Croatia, Latvia and Argentina.

View profile

Book chapters authored 2

Books edited 0

Introducing your Author Service Manager

Ms. Sandra Maljavac

As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact.

Ask a question
creativecommons
alpsp
cope
stm
ithenticate
crossref
doi
oaspa

Book will be abstracted and indexed in

googlescholar
worldcat
base
az
openaire