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IoTBD 2016 : The International Conference on Internet of Things and Big Data – IoTBD 2016

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Link: http://www.iotbd.org
 
When Apr 23, 2016 - Apr 25, 2016
Where Rome, Italy
Submission Deadline Oct 28, 2015
Notification Due Oct 28, 2015
Final Version Due Oct 28, 2015
Categories    wireless communication   cloud computing   big data analytics   machine learning algorithms
 

Call For Papers

Conference name:
The International Conference on Internet of Things and Big Data – IoTBD 2016

Venue:
Rome, Italy

Event date:
23-25 April, 2016

Regular Papers
Paper Submission: Tue 05 Jan 2016
Author Notification: Fri 05 Feb 2016
Camera Ready and Registration: Fri 19 Feb 2016

Position Papers
Paper Submission: Mon 8 Feb 2016
Author Notification: Fri 24 Feb 2016
Camera Ready and Registration: Fri 04 Mar 2016


Workshops
Workshop Proposal: November 9, 2015

Doctoral Consortium
Paper Submission: February 16, 2016
Authors Notification: February 24, 2016
Camera Ready and Registration: March 4, 2016

Special Sessions
Special Session Proposal: November 18, 2015

Tutorials, Demos and Panel Proposals
December 14, 2015



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. INTERNET OF THINGS (IOT)
2. INTERNET OF THINGS (IOT) SMART CITY AND INTELLIGENT SYSTEMS
3. BIG DATA RESEARCH
4. BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
5. EMERGING SERVICES AND ANALYTICS

AREA 1: 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
AREA 2: INTERNET OF THINGS (IOT) SMART CITY AND INTELLIGENT SYSTEMS
• 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 3: 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 4: BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
• 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
• Health Informatics
• Cancer and Tumor Studies with Big Data
• DNA Sequencing
• Brain, Heart and Organ Simulations and Processing
• Volume, Velocity, Variety and Veracity for Biological Science
AREA 5: 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 the Cloud
• Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for Cloud
• 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 Cloud, Grid and Cluster Computing
• Integration as a Service (data; service; business; federated clouds)
• 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
• Any emerging services

KEYNOTE LECTURES
Ling Liu, Georgia Institute of Technology, United States
Peter Sloot, University of Amsterdam, Complexity Institute Singapore, ITMO St. Petersburg, Singapore, Russia, Netherlands
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IoTBD CONFERENCE CHAIR
Victor Chang, Leeds Beckett University, United Kingdom

PROGRAM CO-CHAIRS
Muthu Ramachandran, Leeds Beckett University, United Kingdom
Gary Wills, University of Southampton, United Kingdom
Robert Walters, University of Southampton, United Kingdom
Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain

PROGRAM COMMITTEE
http://www.iotbd.org/ProgramCommittee.aspx

IoTBD Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel.: +351 265 520 184
Fax: +44 203 014 8813
e-mail: iotbd.secretariat@insticc.org
Web: http://www.iotbd.org

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