Contributed papers are solicited describing original works in Computing, Big Data, and Internet of Things. Topics and technical areas of interest include but are not limited to the following:

Computing:	Big Data:	Internet of Things:
Activity-based computing	Foundational Models for Big Data	Computational Science and Engineering
Ambient computing	Algorithms and Programming Techniques for Big Data Processing	Deep learning
Artificial and Computational Intelligence	Big Data Analytics and Metrics	Signal processing
Big data-oriented computing	Representation Formats for Multimedia Big Data	Information extraction
Cloud Computing	Cloud Computing Techniques for Big Data	Natural language reasoning
Cognitive computing	Big Data as a Service	Sensors Data Management, IoT Mining, and Analytics
Data intensive computing	Big Data Open Platforms	Ultra-low power IoT Technologies and Embedded Systems Architectures
Dependable computing	Big Data in Mobile and Pervasive Computing	Resource identification, discovery, and profiling in heterogeneous IoT
DNA (genetic) computing	Big Data Persistence and Preservation	Wearables, Body Sensor Networks, Smart Portable Devices
Parallel computing	Big Data Quality and Provenance Control	Design Space Exploration Techniques for IoT Devices and Systems
Embedded computing	Management Issues of Social Network Big Data	Security, Privacy, and Trust for IoT
Fog-computing	Models and Languages for Big Data Protection	IoT Interactions
High-performance computing	Privacy Preserving Big Data Analytics	Internet of Things Architecture
Human-centered computing	Big Data Encryption	Interoperability of IoT Systems
Intelligent computation	Algorithms and Systems for Big Data Search	Overcoming siloization of IoT systems
Macro- and micro-computing	Distributed, and Peer-to-peer Search	Social Acceptance of IoT Systems
Mobile computing	Big Data Economics	Tampering protection and detection in IoT systems
Sensor-based computing	Big Data for Business Model Innovation	Web Technologies for the IoT
Network Computing	Big Data in Business Performance Management