About This Event

Full Name: 2022 The 5th International Conference on Big Data and Smart Computing (ICBDSC 2022)--EI Compendex, Scopus

Date: January 21-23, 2022

Location: Yokohama, Japan 

Website: www.icbdsc.org

Sponsor: Ambient Intelligence Research Center of Keio university and Institute of mobility culture research center of Keio university as well as Cross-ministerial Strategic Innovation Promotion Program(SIP)

Proceedings

Submitted papers will be Peer-Reviewed (Double Blind) and the accepted ones will be collected in the conference proceedings submit to be indexed in Ei Compendex, Scopus, IET etc. major databases.

History

• ICBDSC 2021 - 
  • Yokohama, Japan(online) | January 16-18, 2021
• ICBDSC 2020 - 
  • Sydney, Australia | January 12-15, 2020
  • ICBDSC 2020 papers already indexed by Ei Compendex and Scopus
• ICBDSC 2019 - 
  • Bali, Indonesia | January 10-13, 2019
  • ICBDSC 2019 papers already indexed by Ei Compendex and Scopus
• ICBDSC 2018 -
  • Casablanca, Morocco | January 4-6, 2018
  • ICBDSC 2018 papers already indexed by Ei Compendex and Scopus

Topic

1. Big Data Infrastructure
   • *Cloud/Grid/Stream Computing for Big Data
   • *High Performance/Parallel Computing Platforms for Big Data
   • *Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
   • *Energy-efficient Computing for Big Data
   • *Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
   • *Software Techniques and Architectures in Cloud/Grid/Stream Computing
   • *Big Data Open Platforms
   • *New Programming Models for Big Data beyond 
   • *Hadoop/MapReduce, STORM
   • *Software Systems to Support Big Data Computing
2. Big Data Management
   • *Advanced database and Web Applications
   • *Novel Data Model and Databases for Emerging Hardware
   • *Data Preservation
   • *Data Provenance
   • *Interfaces to Database Systems and Analytics Software Systems
   • *Data Protection, Integrity and Privacy Standards and Policies
   • *Information Integration and Heterogeneous and Multi-structured Data Integration
   • *Data management for Mobile and Pervasive Computing
   • *Data Management in the Social Web
   • *Crowdsourcing
   • *Spatiotemporal and Stream Data Management
   • *Scientific Data Management
   • *Workflow Optimization
   • *Database Management Challenges: Architecture, Storage, User Interfaces
3. Big Data Search and Mining
   • *Social Web Search and Mining
   • *Web Search
   • *Algorithms and Systems for Big Data Search
   • *Distributed, and Peer-to-peer Search
   • *Big Data Search Architectures, Scalability and Efficiency
   • *Data Acquisition, Integration, Cleaning, and Best Practices
   • *Visualization Analytics for Big Data
   • *Computational Modeling and Data Integration
   • *Large-scale Recommendation Systems and Social Media Systems
   • *Cloud/Grid/Stream Data Mining- Big Velocity Data
   • *Link and Graph Mining
   • *Semantic-based Data Mining and Data Pre-processing
   • *Mobility and Big Data
   • *Multimedia and Multi-structured Data- Big Variety Data
4. Big Data Security & Privacy
   
   • *Intrusion Detection for Gigabit Networks
   • *Anomaly and APT Detection in Very Large Scale Systems
   • *High Performance Cryptography
   • *Visualizing Large Scale Security Data
   • *Threat Detection using Big Data Analytics
   • *Privacy Threats of Big Data
   • *Privacy Preserving Big Data Collection/Analytics
   • *HCI Challenges for Big Data Security & Privacy
   • *User Studies for any of the above
   • *Sociological Aspects of Big Data Privacy
5. Big Data Applications
   • *Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, *Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
   • *Big Data Analytics in Small Business Enterprises (SMEs),
   • *Big Data Analytics in Government, Public Sector and Society in General
   • *Real-life Case Studies of Value Creation through Big Data Analytics
   • *Big Data as a Service
   • *Big Data Industry Standards
   • *Experiences with Big Data Project Deployments
6. Big Data Foundations
   • *Novel Theoretical Models for Big Data
   • *New Computational Models for Big Data
   • *Data and Information Quality for Big Data
   • *New Data Standards
7. Real-Time Big Data Analytics
   
   • *Techniques and Algorithms for Real-Time Big Data Analytics
   • *Applications and Evaluation of Real-Time Big Data Systems
8. Big Data / Smart Cities
   • *Big Data for Improving Resilient Infrastructures
   • *Big Data Applications such as Healthcare and Transportation
9. Smart computing concepts, models and algorithms
   • *Future Smart Computing Paradigms
   • *Models of Smart Environments
   • *Algorithms for Smart Computing
10. Smart Computing Systems
    • *Security, Privacy, and Economics in Smart Environments
    • *Cyber-physical System Platforms for Smart Environments
    • *Middleware Platforms for Smart Environments
    • *Mobile and Ubiquitous Platforms for Smart Environments
11. Smart Computing Applications
    • *Smart Precision Agriculture
    • *Smart Transportation
    • *Smart FinTech
    • *Smart Food-Energy-Water Nexus
    • *Smart Health
    • *Smart Communities
    • *Smart Human Environments, Entertainment, and Social Activities
    • *Smart Energy Management and Analytics
    • For more topics, please visit our website: www.icbdsc.org

Committee (ICBDSC)

• Conference Chairs
  • Yonghui Li, IEEE Fellow, University of Sydney, Australia
  • Hiroaki Nishi, Keio University, Japan
• Program Chairs
  • T.Ohtsuki, Keio University, Japan (IEEE Senior Member and IEICE Fellow)
  • Suhuai Luo, University of Newcastle Australia, Australia
• Program Co-chairs
  • Xiangjian (Sean) He, University of Technology Sydney (UTS), Australia(IEEE Senior Member)
  • Ke Qin, University of Science and Technology of China, China

For more committee members, please visit the website: www.icbdsc.org

Contact Us:

• Name：Nana Liu
• Email: icbdsc@vip.163.com
• Tel: +86-132-9869-9999
• Website：www.icbdsc.org