ACM - 2017 International Conference on Big Data and Internet of Thing (BDIOT 2017)

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