2022 The 5th International Conference on Big Data and Smart Computing (ICBDSC 2022)

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: [email protected]
Tel: +86-132-9869-9999
Website：www.icbdsc.org