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The 2nd International Conference on
Deep Learning, Big Data and Blockchain

DEEP-BDB 2020

24-26 August 2020, Rome, Italy

Springer, AISC

DEEP-BDB 2020

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.

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

With Support of:

                                 

CALL FOR PAPERS

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):

Deep/Machine learning based models
Statistical models and learning
Data analysis, insights and hidden pattern
Data analysis and decision making
Data wrangling, munching and cleaning
Data integration and fusion
Data visualization
Data and information quality
Security threat detection
Visualizing security threats
Enhancing privacy and trust
Data mining; Information extraction;
Sentiment analysis
Data classification and clustering
Knowledge acquisition and learning
Clustering, classification and regression
Supervised and unsupervised learning
Blockain security and trust
Blockchain data management
Data & application reliability
Blockchain and data distribution
Blockain and finacial transactions
Blockchain and Bitcoin applications
Blockain and NoSQL databases
Protocols for blockchain
Cryptography, Cryptocurrency
Fraud detection and prevention
Blockchain and Internet of Things
Scalability of blockchains
Application areas:
Finance, business and retail
Intelligent transportation
Healthcare and clinical decision support
Bioinformatics and biomedical informatics
Computer vision
Human activity recognition
Cybersecurity
Natural language processing
Recommender systems
Social media and networks

IMPORTANT DATES

Submission Deadline 12 March 2020
Authors Notification 20 May 2020
Final Manuscript Due 15 June 2020

ORGANIZING COMMITTEE

General Co-Chairs

Markus Aleksy, ABB, Germany

Program Co-Chairs

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

Local Organising Co-Chairs

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

Publication Chair

Muhammad Younas, Oxford Brookes University, UK

Journal Special Issue Coordinator

Satish Narayana, University of Tartu, Estonia

Workshop Coordinator

Filipe Portela, University of Minho Portugal, Portugal

Publicity Chair

Mourad Ouziri, Paris Descartes University, France

PROGRAM COMMITTEE

Abdelhakim Hafid, University of Montreal, Canada
Abdelmounaam Rezgui, Illinois State University, USA
Ahmad Javaid, The University of Toledo, Spain
Ahmed Zouinkhi, National Engineering School of Gabes, Tunisia
Aida Kamisalic, University of Maribor, Slovenia
Allaoua Chaoui, University Mentouri Constantine, Algeria
Amin Beheshti, Macquarie University, Australia
Armin Lawi, Hasanuddin University, Indonesia
Angelika Kedzierska-Szczepaniak, University of Gdansk, Poland
Antonio Dourado, University of Coimbra, Portugal
Athena Vakali, Aristotle University of Thessaloniki, Greece
Ayman Alahmar, Lakehead University, Canada
Bruno Veloso, INESC Technology and Science, Porto, Portugal
Daniele Apiletti, Polytechnic University of Turin, Italy
Dhanya Jothimani, Ryerson University, Canada
Domenico Talia, University of Calabria, Italy
Emad Mohammed, University of Calgary, Canada
Fahimeh Farahnakian, University of Turku, Finlnad
Fanny Klett, German Workforce ADL Partnership Laboratory, Germany
George Pallis, University of Cyprus, Cyprus
Giovanna Castellano, University of Bari, Italy
Giuseppe Di Modica, University of Catania, Italy
Hiroaki Higaki, Tokyo Denki University, Japan
Imen Khamassi, University of Tunis, Tunisia
Jims Marchang, Sheffield Hallam University, UK
Jorge Bernardino, Polytechnic Institute of Coimbra - ISEC, Portugal
Joshua Ellul, University of Malta, Malta
Kazuaki Tanaka, Kyushu Institute of Technology, Japan
Khouloud Boukadi, University of Sfax-Tunisia, Tunisia
Lei Zhang, East China Normal University, China
Mahardhika Pratama, Nanyang Technology University, Singapore
Marc Jansen, University of Applied Sciences Ruhr West, Germany
Mohamed Boukhebouze, CETIC Research Center, Belgium
Mourad Khayati, University of Fribourg, Switzerland
Muhammad Rizwan Asghar, The University of Auckland, Newzealand
Mu-Yen Chen, National Taichung University of Science and Technology, Taiwan
Nizar Bouguila, Concordia University, Canada
Orazio Tomarchio, University of Catania, Italy
Pino Caballero-Gil, DEIOC, University of La Laguna, Spain
Rabiah Ahmad, Universiti Teknikal Malaysia, Malaysia
Rachid Benlamri, Lakehead University, Canada
Radwa El Shawi, University of Tartu, Estonia
Rafael Santos, Brazilian National Institute for Space Research, Brazil
Ridha Hamila, Qatar University, Qatar
Sebastian Link, The University of Auckland, New Zealand
Santanu Pal, Universität des Saarlandes, Germany
Serap Sahin, Izmir Institute of Technology, Turkey
Sotiris Kotsiantis, University of Patras, Greece
Sung-Bae Cho, Yonsei University, Korea
Stephane Bressan, National University of Singapore, Singapore
Tomoyuki Uchida, Hiroshima City University, Japan
Yacine Atif, Skövde University, Sweden
Yuansong Qiao, Athlone Institute of Technology, Ireland

Paper Submission

Papers must be written in English. Full papers should be limited to 12 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's format. See Information for Authors of Springer Proceedings .

All papers accepted for this conference are peer-reviewed and are to be published by Springer in the Advances in Intelligent Systems and Computing series .

Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceeding

In order to submit your paper click on the link to EasyChair submission system: Submission Link

Note: To submit a paper you need to have an EasyChair account. Follow the link EasyChair Signup to create EasyChair account, if needed.

REGISTRATION

Registrations for the conference and workshops are done online. Participants may pay instantly using their credit cards or they may choose to pay through the bank transfer.

Details of the registration will be published.

WORKSHOPS

MobiApps 2020

The 7th International Workshop on Mobile Applications


AWMA 2020

The 7th International Symposium on Advanced Web and Mobile Applications


SoNet 2020

The 2nd International Symposium on Social Networks and Applications


CSW 2020

The 4th International Workshop on Cyber Security

JOURNAL SPECIAL ISSUES

Selected high quality papers will be considered for publication in the following special issues of international journals subject to expansion of work, review and revision as necessary:

Details are to be published.

CONFERENCE PROGRAM

The conference program is planned to include:

Details of the program will be published later.

VENUE AND TRAVEL INFORMATION



The conference will be held at NH Roma Villa Carpegna hotel. The hotel is situated near the Vatican City State, St Peter's Basilica with direct connection to other neighborhoods as Trastevere and other monuments. See Roma Tourism.

Information about reaching the NH Roma Villa Carpegna Hotel can be found at:
Travel to NH Roma Villa Carpegna

Address:

NH Roma Villa Carpegna
Via Pio IV, 6
00165, Rome, Italy
Tel.: +39 06 393731
Email: nhvillacarpegna@nh-hotels.com

Airports

Rome is well connected to the major cities with direct flights from most major international airports. There are two main airports in Rome:
Leonardo da Vinci International Airport (also called Fiumicino Airport) is the main airport, which is located around 26 km from the city centre of Rome.

Ciampino-G. B. Pastine International Airport is another airport in Rome. Follow Ciampino-G. B. Pastine International Airport to find more information about the aiport.

Trains

Rome has high-speed trains for travelling to/from other main cities in Italy as well as Europe.
Rome Termini Station is the main station for the public transport network. It is located in the center of Rome and has connections to buses, tram and metro (subway) networks of the city. There are several international trains that arrive to Rome Termini Station.


Visa Information

Italy is one of the Schengen visa countries. Visa information can be found at: Visa for Italy

For details that apply specifically to your country of residence, please contact the nearest Consulate or Embassy of Italy.



CONTACT

City of Rome

Conference Venue

Email: Conference Secretary