BDIOT 2018 - 2018 2nd International Conference on Big Data and Internet of Things (BDIOT 2018)--Ei Compendex and Scopus

2018 2nd International Conference on Big Data and Internet of Things (BDIOT 2018)
October 24-26, 2018
North China University of Technology, Beijing, China
Official website: http://www.bdiot.org/
The Conference will be held in North China University of Technology, Beijing, China during October 24-26, 2018.
The main purpose of BDIOT2018 is to provide an international platform for presenting and publishing the latest scientific research outcomes related to the topics of Big Data and Internet of Things.
Publication
All submissions will be peer reviewed 2-3 reviewers, and the accepted papers after registration will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
Submission
BDIOT 2018 is now accepting manuscript submissions.
Please submit your full paper to us:bdiot2017-AT-yeah.net
Call for Paper
Topics of interest for submission include, but are not limited to:
BIG DATA RESEARCH
Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
Modeling, Experiments, Sharing Technologies & Platforms
SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
Analytics, Intelligence and Knowledge Engineering
Data Center Enabled Technologies
Sensor, Wireless Technologies, APIs
Networking and Social Networks
Data Management for Large Data
Security, Privacy and Risk
Software Frameworks (MapReduce, Spark etc) and Simulations
Modern Architecture
Volume, Velocity, Variety, Veracity and Value
Social Science and Implications for Big Data
Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
Big Data Algorithm, Methodology, Business Models and Challenges
Wireless Systems and Applications
New Service Models
Software Engineering for Big Data Analytics
Smart City and Transportation
Education and Learning
Business, Finance and Management
Large-scale Information Systems and Applications
Energy, Environment and Natural Science Applications
Social Networks Analysis, Media and e-Government
Proofs-of-concepts and Large-scale Experiments
Risk Modeling, Simulation, Legal Challenges
Open data: Issues, Services and Solutions
Earth Science Simulation and Processing
GPUs and Visualization
Case Studies of Real Adoption
Biomedical Experiments and Simulations
Healthcare Services and Health Informatics
Cancer and Tumor Studies with Big Data
DNA Sequencing, Organ Simulations and Processing
Volume, Velocity, Variety and Veracity
HCI and Gaming
INTERNET OF THINGS (IOT)
Network Design and Architecture
Software Architecture and Middleware
Mobile Services
Data and Knowledge Management
Context-awareness and Location-awareness
Security, Privacy and Trust
Performance Evaluation and Modeling
Networking and Communication Protocols
Machine to Machine Communications
Intelligent Systems for IOT and Services Computing
Energy Efficiency
Social Implications for IOT
Future of IOT and Big Data
Technological focus for Smart Environments
Next Generation Networks
Smart City Examples and Case Studies
Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
Architecture for secure and interactive IOT
Intelligent Infrastructure and Guidance Systems
Traffic Theory, Modeling and Simulation
Sensor Networks, Remote Diagnosis and Development
Transportation Management
Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
3D printing
Artificial Intelligence
Biotechnology
Communication
Data Processing
Electronic Technologies for in-vehicle
Internet of Things
Mode-to-Mode Systems
Nanotechnology
Sensors
Transport Safety and Mobility
Vehicle-to-Infrastructure
Vehicle-to-Vehicle
More topics about BDIOT2018,please see the website.
Contact us
---
Ms. Jasmine Nieh
Email: bdiot2017-AT-yeah.net
Tel: +86-13419999996