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IIoTBDSC 2020 : The First International Conference on Industrial IoT Big Data and Supply Chain (IIoTBDSC)

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Link: http://iiotbdsc.com/
 
When Sep 15, 2020 - Sep 17, 2020
Where Macao, SAR of China
Submission Deadline Jul 15, 2020
Notification Due Aug 1, 2020
Final Version Due Aug 8, 2020
Categories    industrial internet of things   big data   supply chain
 

Call For Papers

The First International Conference on Industrial IoT Big Data and Supply Chain (IIoTBDSC) http://iiotbdsc.com/

Conference Date: September 15-17, 2020
Venue: Macao, Special Administration Region (SAR) of China
Submission: https://easychair.org/conferences/?conf=iiotbdsc20200


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.

We are fully aware of COVID-19 and always take the highest level of risk and event management. Macao has only 45 infected cases (checked on May 12, 2020). It does not have local infected cases for weeks and has only few cases imported abroad. Therefore, Macao is relatively safer than in other regions. We fully understand the current situations. In case that some participants are unable to come to Macao, we welcome online presentations via Zoom. Details will be given after registration in August. Many thanks for your support and participation!


Publication and Index

All papers, both invited and contributed, will be reviewed by three experts from the committees. After a careful reviewing process, all accepted papers of IIoTBDSC2020 will be published in conference proceedings by International Conference Proceeding Series, it will be submitted to ISI Proceedings (ISTP/CPCI), EI Compendex, DBLP, SCOPUS, Google Scholar for indexing.


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

IEEE Transactions on Industrial Informatics (top JCR SCI Q1) http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics

Applied Sciences MDPI (JCR SCI Q1) https://www.mdpi.com/journal/applsci

Sustainability MDPI (JCR SCI Q2) https://www.mdpi.com/journal/sustainability

Expert Systems Wiley (JCR Q2, ABS 2, CCF-C) https://onlinelibrary.wiley.com/journal/14680394

Multimedia Tools and Applications (JCR SCI Q2, CCF-C) https://www.springer.com/journal/11042

Technological Forecasting and Social Change (SSCI Q1, ABS 3, ABDC A): https://www.journals.elsevier.com/technological-forecasting-and-social-change

Journal of Enterprise Information Management (SSCI Q1, ABS 2, ABDC A): https://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=jeim

Security and Communication Networks (JCR SCI Q2, CCF-C), https://www.hindawi.com/journals/scn/si/342608/

EURASIP Journal on Wireless Communications and Networking (JCR SCI Q2), https://jwcn-eurasipjournals.springeropen.com/human-centered-computing

Journal of Medical Imaging and Health Informatics (JCR SCI Q4) http://www.aspbs.com/jmihi/SIAIbyTsaiSB.pdf

Symmetry (JCR SCI Q1) https://www.mdpi.com/journal/symmetry

Sensors (JCR SCI Q1) https://www.mdpi.com/journal/sensors/special_issues/AMLTMIoMTSA

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

Information Discovery and Delivery (IDD), ESCI (ABDC C and will be SCI or SSCI) https://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=IDD

Library Hi Tech (LHT), SSCI Q1 https://www.emeraldgrouppublishing.com/lht.htm

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


Call for Papers

AREA 1: INDUSTRIAL INTERNET OF THINGS (IIOT) FUNDAMENTALS AND APPLICATIONS
· 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


AREA 2: BIG DATA RESEARCH AND MULTI-DISCIPLINE SERVICES
· 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


AREA 3: SUPPLY CHAIN FUNDAMENTALS
· 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.)


AREA 4: ADVANCED SUPPLY CHAIN AND IIOT-BD INTEGRATION


· 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


AREA 5: EMERGING AREAS

· 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

Keynote Speakers

Prof. Dr. Peter KACSUK, School of Computer Science of the University of Westminster, UK

Prof. Witold Pedrycz, University of Alberta, Canada


Organizing Committee

Conference Chair

Prof. Victor Chang, Teesside University, United Kingdom

Program Chairs

Dr.Simon James Fong,University of Macau, China

Prof. Xilong Qu, Hunan University of Finance and Economics, Changsha, China

Prof. Hong Yu, Chongqing University of Posts and Telecommunications, China

Publication Chairs

Dr Muthu Ramachandran, Leeds Beckett University, UK

Prof. Víctor Méndez Muñoz, Universitat Oberta de Catalunya (UOC), Spain

Prof Yongxin Zhu, University of Chinese Academy of Sciences, Shanghai, China

Publicity Chairs

Lianyong Qi, Qufu Normal University, China

Dr. Gang Sun, University of Electronic Science and Technology of China, China

Dr. Iwan Syarif, Surabaya State Electronics Polytechnic, Indonesia


Program Committee Members

1) Internet of Things, Big Data, Computer Science and Supply Chain (technical):

Chung-Sheng Li, PwC Labs, United States

Gary Wills, University of Southampton, United Kingdom

Rahat Iqbal, Coventry University, United Kingdom

Muthu Ramachandran, Leeds Beckett University, United Kingdom

P. Vijayakumar, Anna University, India

Anna Kobusinska, Poznan University of Technology, Poland

Reinhold Behringer, Knorr Bremse GmbH, Germany

Hongji Yang, Leicester University, United Kingdom

Nik Bessis, Edge Hill University, United Kingdom

K. Chandrasekaran, National Institute of Technology Karnataka, India

Gang Sun, University of Electronic Science and Technology of China, China

Zhongjin Li, Hangzhou Dianzi University, China

Binbin Huang, Hangzhou Dianzi University, China

Víctor Méndez Muñoz, University of Oberta de Catalunya, Spain

Debiao He, Wuhan University, China

Jian Shen, Nanjing University of Information Science and Technology, China

Weiwei Lin, South China University of Technology, China

Steven Guan, Xi'an Jiaotong-Liverpool University, China

Simon Fong, Macau University, China

Rajinder Sandhu, Jaypee University of Information technology, India

Harleen Kaur, Jamia Hamdard University, India

Yongxin Zhu, Chinese Academy of Sciences, China

Ching-Hsien (Robert) Hsu, Asia University, Taiwan, Republic of China

Maria Lee, Shih-Chien University, Taiwan, Republic of China

Bonghee Hong, Pusan National University, Republic of Korea

Jidong Ge, Nanjing University, China

Darren Chong, Singapore Government, Singapore

Kuo-Ming Chao, Coventry University, United Kingdom

Zhili Sun, University of Surrey, United Kingdom

Luozhi Zhang, Beihang University, China

Alamgir Hossein, Teesside University, United Kingdom

Chong-Geng Ma, Chongqing University of Posts and Telecommunications, China

Qinghua Zhang, Chongqing University of Posts and Telecommunications, China

Hua Cao, Chongqing University of Posts and Telecommunications, China

Seingheng Hul, Institute of Technology of Cambodia, Cambodia

Nguyen Thanh Tung, Thuyloi University Hanoi, Vietnam

Widodo Budiharto, Binus University, Jakarta, Indonesia

Nor Azah Yusof, Universiti Putra Malaysia, Serdang, Selangor, Malaysia

Fan Zhang, IBM and MIT, United States

Mohamed Abdel-Basset, Zagazig University, Egypt

Thar Baker, Liverpool John Moores University, United Kingdom

Lianyong Qi, Qufu Normal University, China

Cong Liu, Shangdong University of Technology, China


2) Business Informatics and Supply Chain (business):

Mitra Arami, PARDIS Ltd, London, United Kingdom

Amin Hosseinian-Far, University of Northampton, United Kingdom

Patricia Baudier, Ecole de Management Normandie, France

Li Zhou, University of Greenwich, United Kingdom

Ying Xie, Anglia Ruskin University, United Kingdom

Chang (Andy) Xiong, Xi'an Jiaotong-Liverpool University, China

Faisal Fayyaz Qureshi, Express communication services limited, United Kingdom

Kun Tian, University of East Anglia, United Kingdom

Raul Franco Valverde, Concordia University, Canada

Marcos Lima, Skema Business School, France

Fang-Mei Tseng (Grace), Yuan Ze University, Taiwan, Republic of China

Yulin Yao, Yulin Yao Consulting, United Kingdom

Wu He, Old Dominion University, United States

Yan Li, Nanyang Technological University, Singapore

Lujie Chen, Xi’an Jiaotong-Liverpool University, China

Dickson Chiu, University of Hong Kong, HK, China

Ben Shaw-Ching Liu, Quinnipiac University, United States

Sherriff Ting Kwong Luk, Emlyon Business School, France

Tung-lung Steven Chang, Long Island University, United States

Lin Wang, Tianjin University, China

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