Conference Description:

oTBDS 2019 will be held in conjunction with COMPLEXIS 2019 and CLOSER 2019.
Registration to IoTBDS allows free access to the COMPLEXIS and CLOSER conferences (as a non-speaker).


Upcoming Deadlines

Regular Paper Submission: December 10, 2018
Regular Paper Authors Notification: February 7, 2019
Regular Paper Camera Ready and Registration : February 21, 2019

The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis.

Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.

Conference Areas
1 . Big Data Research
2 . Emerging Services and Analytics
3 . Internet of Things (IoT) Fundamentals
4 . Internet of Things (IoT) Applications
5 . Big Data for Multi-discipline Services
6 . Security, Privacy and Trust
7 . IoT Technologies

Conference Chair

Victor Chang, Xi'an Jiaotong-Liverpool University, China
PROGRAM CO-CHAIRS

Muthu Ramachandran, Leeds Beckett University, United Kingdom
Gary Wills, University of Southampton, United Kingdom
Víctor Méndez Muñoz, Mind the Byte & Universitat Autònoma de Barcelona, UAB, Spain
SCIENTIFIC ADVISORY BOARD

Schahram Dustdar, Vienna University of Technology, Austria
Hamido Fujita, Iwate Prefectural University, Japan
Chung-Sheng Li, Accenture, United States


SCOPE
The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis.

Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.

CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. BIG DATA RESEARCH
2. EMERGING SERVICES AND ANALYTICS
3. INTERNET OF THINGS (IOT) FUNDAMENTALS
4. INTERNET OF THINGS (IOT) APPLICATIONS
5. BIG DATA FOR MULTI-DISCIPLINE SERVICES
6. SECURITY, PRIVACY AND TRUST
7. IOT TECHNOLOGIES

AREA 1: 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

AREA 2: EMERGING SERVICES AND ANALYTICS
Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
Big Data Algorithm, Methodology, Business Models and Challenges
Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts
Financial Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
Education as a Service (EaaS) including e-Learning and Educational Applications
Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data
Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization
System Design and Architecture
Mobile APIs, Apps, Systems and Prototype
Gaming as a Service (GaaS)
Framework (conceptual, logical or software)
Analytics as a Service (AaaS) for any Types of Analytics
Electronic, Logic, Robotic and Electrical Infrastructure, Platforms and Applications
Energy-saving and Green IT Systems or Applications
Middleware and Agents for IoT and Big Data, Grid and Cluster Computing
Integration as a Service (data; service; business; federated IoT and Big Data)
Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
Tenant Application Development including Customization, Verification, Simulation, and testing on SaaS and Analytics
IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms
Social Networks and Analytics
User Evaluations and Case Studies
IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants
Wireless Systems and Applications
e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
Data as a Service and Decision as a Service
IoT Services and Applications
New Service Models
Software Engineering for Big Data Analytics
SOA based approaches to IoT BD
Social informatics, challenges and recommendations for IoT
Any emerging services

AREA 3: INTERNET OF THINGS (IOT) FUNDAMENTALS
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

AREA 4: INTERNET OF THINGS (IOT) APPLICATIONS
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

AREA 5: BIG DATA FOR MULTI-DISCIPLINE SERVICES
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

AREA 6: SECURITY, PRIVACY AND TRUST
Algorithms, software engineering and development
System design and implementation
Testing (software engineering; penetration; product development)
Encryption (all aspects)
Firewall, access control, identity management
Experiments of using security solutions and proof-of-concepts
Large-scale simulations in the Cloud, Big Data and Internet of Things
Intrusion and detection techniques
Social engineering and ethical hacking: techniques and case studies
Software engineering for security modeling, business process modeling and analytics
Trust and privacy
Location-based privacy
Data security, data recovery, disaster recovery
Adoption challenges and recommendation
Information systems related issues
Conceptual frameworks and models
Emerging issues and recommendations for organizational security
E-Commerce and online banking
Social network analysis, emerging issues in social networks
Education and e-Learning
Surveys and their quantitative analysis
Architecture (technical or organizational)
Case Studies

AREA 7: IOT TECHNOLOGIES
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

Please contact the event manager Marilyn ([email protected] ) below for:
- Multiple participant discounts
- Price quotations or visa invitation letters
- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)
- Event sponsorships