Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers.

The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep (and machine) learning, big data and blockchain.

All papers accepted for this conference are to be published by Springer in the Advances in Intelligent Systems and Computing series . The proceedings (books) of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.

DEEP-BDB 2020 is co-located with the FiCloud 2021 and MobiWis 2021 conferences.

With Support of:

                                 

Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers.

The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to):

Markus Aleksy, ABB, Germany

Irfan Awan, University of Bradford, UK
Salima Benbernou, Paris Descartes University, France

Flora Amoto, University of Naples "Federico II", Italy
Francesco Piccialli, University of Naples "Federico II", Italy

Muhammad Younas, Oxford Brookes University, UK

Satish Narayana, University of Tartu, Estonia

Filipe Portela, University of Minho Portugal, Portugal

Mourad Ouziri, Paris Descartes University, France

Submission of Camera Ready Version:

Submissions of CAMERA-READY versions must strictly adhere to the Springer guidelines. See Formatting instructions and stylesheets.

Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 to 10 pages.

Submissions must include the following MATERIAL:

1. PDF version of your camera-ready paper
2. Signed Contributor Agreemen Form
   • Each corresponding author should print the form, enter the title of the chapter as well as the names of the authors at the top of the form and sign it. Important: details of the chapter authors (sequence, names, name and affiliation of corresponding author) given in the Contributor Agreement should be complete, final and correspond to the details given in the manuscript. As this is a legal document, we cannot accept changes at a later stage and ask for your understanding in this matter.
3. All the source files of your submission (including text and figures); also MS Word copy (if using MS Word)
4. The material in points 1-3 packed as a .zip file should be emailed to:
   Deep-BDB Camera Ready Copy

Registrations for the conference/workshop is done online through EasyConferences. Participants may pay instantly using their credit card (VISA/MASTERCARD), or they may choose to pay through the bank. A one-stop-shop software is used for the whole registration process. The whole process is easy to use, secure, and can be completed in a few minutes.

Deadline for early registration: 15 June 2021

Registration Steps

• Create an "easyconferences" account through www.easyconferences.org
• Activate your account by clicking on the activation link sent into your email account
• Log into Your Account and create your registration order form
• Settle securely your order through the online credit card payment method

Note: If you already have an "easyconferences" account then Click here to register.

Important Information

• Please, login into your "easyconferences" account to check the registration fee
• Authors and Delegate Fee is inclusive of participation of the online conference.
• Authors with more than one paper can register first paper with full fee and each addtional paper with reduced fee.
• One registration is required for every accepted paper unless.
• Presenting authors may cancel their registration up to the 15th June 2021. A EUR 50 administrative charge will apply.
• Other participants may cancel their registration until the 1st August 2021. A EUR 50 administrative charge will apply.
• Registration fees are non-refundable for all cancellations after the above deadlines.
• Reimbursement will not be granted for unattended events.

For inquiries including online registration and invoicing, please contact:

The 7th International Symposium on Intercloud and IoT

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The 3rd International Symposium on Social Networks and Applications

The 4th International Workshop on Cyber Security

High quality papers will be considered for publication in the following special issue. Authors are invited to submit extended versions of the papers that must contain significant amount of new material such as new experiments, results, and related work. All papers submitted to the special issue will be reviewed by multiple reviewers.

Special Issue on: Cloud, IoT and Data Science
Information Systems Frontiers, Springer

Impact Factor = 3.630 (2019)
Five year impact factor = 4.016 (2019)

Advance Program 2021

Time Zone: British Summer Time (BST)

World Time Zones: Link

Deep-BDB 2021 - Link to Online Proceedings (Springer)