[hpc-announce] IIoTBDSC 2021, Oct 15-17 (submission due on Sep 15) and collaborating journals

Victor Chang vic1e09 at soton.ac.uk
Thu Sep 2 00:15:57 CDT 2021

Dear colleagues,

We have the 2nd International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC 2021) between October 15-17, 2021. Due to COVID-19 pandemic worldwide and concerns for the safety of international travels, IIoTBDSC 2021 will be an online delivery. The website is http://iiotbdsc.com/2021/ . We seek high-quality and unpublished papers. Selected authors will be invited to competitive journals. Deadline for CFP is 15 September. If you still need a little of time, you can write to iiotbdscconference at 126.com .

Submission: https://easychair.org/conferences/?conf=iiotbdsc2021 . Please consider submission. Details of CFP are at the end of this email. Many thanks in advance.

Thanks and regards,

http://iiotbdsc.com/2021/ and http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=136759&copyownerid=58766

The 2nd International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC 2021)

Conference Date: October 15-17, 2021

Venue: Macao, Special Administration Region (SAR) of China (Due to COVID-19 pandemic and concerns for the safety of international travels, IIoTBDSC 2021 will be an online delivery.)

Submission: https://easychair.org/conferences/?conf=iiotbdsc2021 due on August 15, 2021 (If you have any questions, please write to iiotbdscconference at 126.com.)

About IIoTBDSC2021

We live in an interconnected world that different smart devices and people are connected together. The advancement of high-tech services and reliability, efficiency, speed and accuracy of services have become crucial and popular in many aspects. The key elements include the Industrial Internet of Things, Big Data and Supply Chain.

The Industrial Internet of Things (IIoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data and process information collaboratively in the service of individuals or organizations.

Big Data (BD) has core values of volume, velocity, variety and veracity. Supply Chain requires the modern advancement and support from IIoT and Big Data, to make all services efficient, fast, accurate and reliable. These three can combine and work together to produce greater impacts and contributions as follows. First, the issues surrounding IIoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IIoT produces. Often machine learning and other advanced techniques, models and tools, and issues of security and trust are related. The maturity of IoT technologies can grow and become part of our everyday lives.

Second, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it. Forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis. Third, suppliers can know the updates on their stocks and demands. Manufacturers and transport companies know the workloads, destination and resource distributions. Finally, customers can know the real-time updates of the delivery of their goods. Investors can better decisions on their goods, resources, sales and management. Supply chain can reach a greater sustainable ecosystem with the help of IIoT and Big Data.

This conference brings the experts, practitioners, scientists and decision-makers from academia and industry together. Our aim is to foster a strong, lively and well-connected international research community. We welcome innovative ideas, concepts, services, techniques, research outputs and business practices.

Conference History

IIoTBDSC2020(The 1st session of IIoTBDSC2020) was successfully held on September 15-17, 2020 online, and all of the accepted papers will be published in conference proceedings by International Conference Proceeding Series, which will
be further submitted to eg. ISI Proceedings (ISTP/CPCI), EI Compendex, DBLP, SCOPUS, Google Scholar for indexing.
More information on publication of IIoTBDSC2020, please hit the link: https://www.springer.com/gp/book/9789813361409.

For more information on IIoTBDSC2020 please click the link: http://www.iiotbdsc.com/2020/ . More information on conference history is included in Conf Info--Conference History of this website.

Publication and Index Proceeding

All papers, both invited and contributed, will be reviewed by at least 3 experts from the committees. After a careful reviewing process before the final decision and detailed presentation at the conference, all the accepted papers will be submitted to EI, Scopus, CPCI indexed proceeding from a top publisher.


Some of the best papers of IIoTBDSC2021 will have the chances to be recommended to SCI / EI journals for publishing,

In such case, the papers must be significantly changed after improvement and expanding - usually, at least 30% changes are requested.


· Software Architecture and Middleware
· Context-Awareness and Location-Awareness
· Performance Evaluation and Modeling
· Networking and Communication Protocols
· Machine to Machine Communications
· Energy Efficiency
· Software Engineering for IoT and IoE
· Machine Learning and Deep Learning Approaches Data Analytics
· Technological Focus for Smart Environments
· Smart City Examples and Case Studies
· Architecture for Secure and Interactive IoT
· Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
· Sensor Networks, Remote Diagnosis and Development
· 5G, NVF, SDN and APIs for IoT
· Transportation Management Traffic Theory, Modeling and Simulation
· Social Implications for IoT Intelligent
· Systems for IoT and Services Computing
· Resilient and Secure IoT with real-world solutions


· Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value
· Modeling, Experiments, Sharing Technologies & Platforms
· Analytics, Intelligence and Knowledge Engineering
· Data Center Enabled Technologies
· Networking and Social Networks
· Data Management for Large Data
· Software Frameworks (MapReduce, Spark Etc) and Simulations
· Social Science and Implications for Big Data
· Smart City and Transportation
· Education and Learning
· Business, Finance and Management
· Social Networks Analysis, Media and eGovernment
· Risk Modeling, Simulation, Legal Challenges
· Case Studies of Real Adoption
· Biomedical Experiments and Simulations
· Healthcare Services and Health Informatics
· Security, Privacy, Trust and Risk


· Strategic supply chain management
· Sustainable supply chain management
· Green supply chain management
· Global supply chain management
· Lean/ flexible/ agile supply chain
· Supply chain risk management
· Supply chain management in an uncertain environment
· Supply chain cooperation and integration
· Supply chain project management
· Business logistics/ Logistics hubs
· Transportation/ distribution management
· Human resource management in supply chain
· Economics and financial management
· Marketing and Supply/ demand management
· Manufacturing or service systems design/ analysis
· Case studies of manufacturing/ service industries (including Automotive, Food, Tourism, Petroleum, Healthcare,

Insurance and Banking, military supply chain, etc.)


· Optimization and decision making: methods and algorithms
· Inventory control, production planning and scheduling
· Artificial Intelligence and Expert System
· The role of information technology in supply chain management and decision making
· Big data and data mining in logistics and supply chain management
· Blockchain in logistics and supply chain management
· Internet of Things (IoT) in logistics and supply chain management
· Quality and productivity control and management of the supply chain manufacturing/ service processes
· Operations management and research
· Analysis of successful supply chain practices
· Supply chain 4.0 and Logistics 4.0


· Integration of high-tech and services (in any of AI, IoT, Big Data, Blockchain etc)
· Latest development in Blockchain
· Latest development mobile payment technologies with AI, IoT, Big Data and Blockchain
· 5G/6G and Fog/Edge Computing with AI, IoT, Big Data and Blockchain
· Facial recognition
· Emerging and Future Business Models, Operations, Case Studies and Recommendations
· Industry 4.0 and 5.0

Collaborating journals
We will work with a number of high quality and indexed journals (SCI, SSCI, EI, ESCI, ABS, Scopus) including:

1. Sustainability MDPI (WOS SCI Q2) https://www.mdpi.com/journal/sustainability/special_issues/fintech_ma

2. Computers & Electrical Engineering (WOS SCI Q1) https://www.journals.elsevier.com/computers-and-electrical-engineering/call-for-papers/artificial-intelligence-and-machine-learning-in-industry-40

3. Journal of Global Information Management (JGIM, EI, WOS SSCI Q2) https://www.igi-global.com/calls-for-papers-special/journal-global-information-management/1070

4. International Journal of Business and Systems Research (Scopus, ABS 1) https://www.inderscience.com/jhome.php?jcode=ijbsr

5. IJOCI (papers on Scopus) https://www.igi-global.com/journal/international-journal-organizational-collective-intelligence/1140

6. Microprocessors and Microsystems (M&M, WOS SCI Q3) https://www.journals.elsevier.com/microprocessors-and-microsystems/call-for-papers/system-and-device-architectures

7. Journal of Grid Computing (JoGC, WOS SCI Q1) https://www.springer.com/journal/10723

8. Enterprise Information Systems EIS (WOS SCI Q2, ABS 2) https://www.tandfonline.com/toc/teis20/current

9.International Journal of Engineering Business Management (ESCI), SAGE https://journals.sagepub.com/home/enb/

For details, please visit http://iiotbdsc.com/2021/ and http://www.wikicfp.com/cfp/servlet/event.updcfp?eventid=136759 . Many thanks in advance.

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