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m (VINCI' 2017 Call for Paper - Paper submission deadline extended to 9 April)
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VINCI 2017 Call for Paper
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Conference name:
 +
The International Conference on Internet of Things and Big Data – IoTBD 2016
  
Paper submission deadline extended to 9 April 2017
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Venue:
 +
Rome, Italy
  
The 10th International Symposium on Visual Information Communication and Interaction
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Event date:
 +
23-25 April, 2016
 +
Regular Papers
 +
Paper Submission: October 28, 2015
 +
Authors Notification: January 28, 2016
 +
Camera Ready and Registration: February 12, 2016
  
Bangkok, Thailand, 14-16 August 2017         
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Position Papers
                                                   
+
Paper Submission: January 5, 2016
vinci-conf.org
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Authors Notification: February 5, 2016
 +
Camera Ready and Registration: February 19, 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
  
Visual communication through graphical or sign languages has long been conducted among human beings of different backgrounds or cultures, and in recent decades between human and machine. In today's digital world, visual information is typically encoded with various metaphors commonly used in daily life to facilitate rapid comprehension and easy analysis during the communication process. Visual information communication generally encompasses information visualization, graphical user-interfaces, visual analytics, and visual languages. Visual information is increasingly being used to facilitate human-human communication through the Internet and mobile devices.
+
Tutorials, Demos and Panel Proposals
 +
December 14, 2015
  
 +
Scope:
 +
Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly and intelligently through advanced algorithms, techniques, models and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics and machine learning algorithms.
  
The Symposium on Visual Information Communication and Interaction (VINCI) (vinci-conf.org) is the premier international forum for researchers and industrial practitioners to discuss the state-of-the-art in visual communication theories, designs, and applications. The 10th International Symposium on Visual Information Communication and Interaction (VINCI'17) will be held during 14-16 August 2017, in Bangkok, Thailand.
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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
  
Papers can be submitted as full papers, short papers and posters. All accepted papers will be published by ACM Press and made available in the ACM Digital Library (EI indexed). Authors of a number of selected full papers of high quality will be invited to submit revised versions of their works to a special issue of the Journal of Visual Languages and Computing (Elsevier, SCI indexed). In addition, revised versions of selected best papers in art and design will be invited for subsequent publication in a special issue of Leonardo (MIT Press, AHCI indexed).
+
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
  
1. SCOPES AND TOPICS
+
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
  
We solicit original, unpublished research papers that focus on all aspects of visual information communication and interaction, either via images, computer graphics, animations, virtual reality, web, or other media. Research papers may address cognitive and design aspects, underlying theories, taxonomies, implementation work, tool support, and case studies. Topics of interest include but are not limited to the following:
+
IoTBD CONFERENCE CHAIR
 +
Victor Chang, Leeds Beckett University, United Kingdom
  
Cognitive aspects of visual information comprehension
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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
  
Empirical studies of novel visual metaphor
+
PROGRAM COMMITTEE
 +
http://www.iotbd.org/ProgramCommittee.aspx
  
Visual interaction through multimodality
+
IoTBD Secretariat
 
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Address: Av. D. Manuel I, 27A, 2º esq.  
Visual approaches for knowledge discovery
+
2910-595 Setúbal - Portugal
 
+
Tel.: +351 265 520 184
Computational aesthetics
+
Fax: +44 203 014 8813
 
+
e-mail: iotbd.secretariat@insticc.org
Visual analytics
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Web: http://www.iotbd.org
 
 
Graph drawing and (multivariate) network visualization
 
 
 
Information visualization
 
 
 
Graphical user interface design
 
 
 
Aesthetics in visual communication
 
 
 
Influence of visual arts and design
 
 
 
Visual modeling languages and UML
 
 
 
Visual communication metaphors
 
 
 
Visual programming languages
 
 
 
Visualization on mobile devices
 
 
 
Applications like SoftVis, BioVis, GeoVis, ...
 
 
 
Sketching
 
 
 
Human-computer interaction
 
 
 
 
 
2. PAPER SUBMISSION
 
 
 
 
 
Submissions that address research and development, as well as experience reports and tool demonstrations on the above and other related topics are strongly encouraged. Papers can be submitted as full papers, short papers and posters. Each submitted symposium paper will be peer-reviewed by at least three International Program Committee members. All accepted papers and posters will appear in the proceedings of VINCI 2017 published by ACM Press and made available in the ACM Digital Library (EI indexed). Moreover, authors of a number of selected full papers of high quality will be invited to prepare revised versions of their work for submission to a special issue of the Journal of Visual Languages and Computing (Elsevier; SCI indexed). In addition, it is planned that revised versions of selected best papers in art and design will be invited for the subsequent publication in a special issue of Leonardo (MIT Press; AHCI indexed).
 
 
 
Research papers and experience reports of up to eight (8), short papers of up tofour (4), and tool demonstrations or posters of up to two (2) ACM double-column pages should be submitted through easychair.org. The review process will be single-blind. We appreciate the submission of videos or other supplemental material. Please provide a URL at the end of the submitted paper to enable the reviewers the download of your additional material. Detailed information on the electronic submission can be found at the end of this page.
 
 
 
 
 
3. KEYNOTE SPEECH
 
 
 
Keynote speech 1
 
 
 
Learning through Overcoming Inconsistencies, Prof. Du Zhang,
 
(Macau University of Science and Technology)
 
 
 
 
 
Du Zhang is Professor and Dean of the Faculty of Information Technology, Macau University of Science and Technology, Macau, China. He received his Ph.D. and M.S. degrees, both in computer science, from the University of Illinois and Nanjing University, China, respectively. Previously he was a Professor and Chair of the Computer Science Department at California State University, Sacramento. He has research affiliations with numerous universities in the USA, UK, Hong Kong, China, Czech Republic, and Mexico.
 
 
 
Professor Zhang's current research interests include machine learning (inconsistency-induced perpetual learning), knowledge-based systems, big data analytics, and software engineering. He has over 200 publications in these and other areas. He has served in various roles on numerous international conferences, and is editor or editorial board member for several journals in the areas of artificial intelligence, software engineering and knowledge engineering, big data, and applied mathematics. Professor Zhang is a senior member of both the IEEE and ACM, a board member of the Society of Information Reuse and Integration, and a member of Upsilon Pi Epsilon and Phi Beta Delta.
 
 
 
 
 
Keynote speech 2
 
 
 
Michael CohenSpatial Media and Visualization, Prof. Michael Cohen
 
(University of Aizu, Japan)
 
 
 
Michael Cohen received an Sc.B. in EE from Brown University (Providence, Rhode Island) in 1980, M.S. in CS from the University of Washington (Seattle) in 1988, and Ph.D. in EECS from Northwestern University (Evanston, Illinois) in 1991. He has worked at the Air Force Geophysics Lab (Hanscom Field, Massachusetts), Weizmann Institute (Rehovot; Israel), Teradyne (Boston, Massachusetts), BBN (Cambridge, Massachusetts and Stuttgart; Germany), Bellcore (Morristown and Red Bank, New Jersey), the Human Interface Technology Lab (Seattle, Washington), and the Audio Media Research Group at the NTT Human Interface Lab (Musashino and Yokosuka; Japan). He is currently a Professor in the Human Interface Lab at the University of Aizu (Aizu-Wakamatsu, Japan).
 
 
 
He has research interests in user interfaces for telecommunications, groupware and CSCW (computer-supported collaborative work), stereotelephonics, digital typography and electronic publishing, hypermedia, ubicomp (ubiquitous computing) and virtual reality. Besides teaching various undergraduate courses including Information Theory, he co-teaches graduate-level courses in Acoustic Modeling, and Computer Music.
 
 
 
He is a member of the ACM, IEEE, 3D-Forum, TUG (TeX Users Group), and VRSJ (Virtual Reality Society of Japan).
 
 
 
 
 
 
 
4. WORKSHOPS AND TUTORIALS
 
 
 
 
 
VINCI'17 is also soliciting proposals for full-day or half-day workshops and tutorials on topics that address areas of interest to the community. Proposals should not be longer than a maximum of 2 pages. In particular, workshop proposals should include:
 
 
 
The title and a brief description of the specific issues that the workshop will address, the reasons why the workshop is of interest in these times, and the main research areas involved.
 
 
 
Contact information of the workshop chairs, their competence in the proposed topic(s) and previous experience in chairing scientific events.
 
 
 
A tentative list of program committee members.
 
 
 
Intended length (half or full day) and a draft of the Call for Papers.
 
 
 
It is expected that the workshop organizers will setup an own workshop web page as soon as the workshop proposal has been accepted.
 
 
 
Tutorials usually attract a broad range of audiences, including professionals, researchers, students, or practitioners, who wish to enhance their knowledge in the specific tutorial topic. Tutorials offer a unique opportunity to disseminate in-depth information on specific topics in visual information communication and interaction. Tutorial proposals should include short biographies of the proposers, a draft of the tutorial content, intended length, and evidence of the possibility of attracting audience to the tutorial.
 
 
 
It is possible to extend the symposium by one day in case many workshops or tutorials are proposed and accepted. Detailed information on the submission of workshop and tutorial proposals can be found at the end of this page.
 
 
 
 
 
5. SPECIAL SESSIONS AND PANELS
 
 
 
 
 
We also invite special session and panel proposals for VINCI'17. Proposals for special sessions and panels should include the title, aim and scope, the names and affiliations of the organizers together with a short biography. A list of potential contributors or panel members would be surely helpful too. The proposers are expected to have a good publication track record and excellent standing in the proposed area.
 
 
 
Papers submitted to special sessions should be done through the VINCI'17 EasyChair submission system. The paper types are identical to those of regular submissions. It is the responsibility of the special session organizers to make sure that papers submitted to their special session clearly indicate the name of the special session the paper belongs to. All papers submitted to special sessions will be subject to the same peer-review procedure as the regular papers (however chaired by the special session organizers) and will appear in the VINCI'17 conference proceedings as well. The symposium chairs reserve the right to move accepted papers for a special session into a regular session in case the special session has finally less than four papers. In this case, the special session will be cancelled.
 
 
 
 
 
6. IMPORTANT DATES
 
 
 
 
 
Workshop/Tutorial/Special Session/Panel proposals due: still open
 
 
 
Workshop/Tutorial/Special Session/Panel decision and notification: within one week after submission
 
 
 
Paper submission deadline: April 09, 2017 (23:59 PST)
 
 
 
Notification of decision: May 01, 2017
 
 
 
Camera-ready copy due: June 01, 2017
 
 
 
 
 
7. ORGANIZATION
 
 
 
 
 
General Chair
 
 
 
Robert P. Biuk-Aghai, University of Macau, Macau
 
 
 
Program Chairs
 
 
 
Shigeo Takahashi, University of Aizu, Japan
 
 
 
Jie Li, Tianjin University, China
 
 
 
Local Chair
 
 
 
Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand
 
 
 
Finance Chair
 
 
 
Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
 
 
 
Publicity Chair
 
 
 
Yi-Na Li Texas A&M University, USA
 
 
 
 
 
 
 
8. PROGRAM COMMITTEE
 
 
 
 
 
Benjamin Bach, Harvard University
 
 
 
Rita Borgo, King's College London
 
 
 
Paolo Bottoni, Sapienza University of Rome
 
 
 
Paul Bourke, University of New South Wales
 
 
 
Stephen Brooks, Dalhousie University
 
 
 
Michael Burch, University of Stuttgart
 
 
 
Vetria Byrd, Purdue University
 
 
 
Daniel Cernea, AGT International
 
 
 
Wei Chen, Zhejiang University
 
 
 
Gennaro Costagliola, Università di Salerno
 
 
 
Achim Ebert, University of Kaiserslautern
 
 
 
Mai Elshehaly, Virginia Tech
 
 
 
Vittorio Fuccella, Università di Salerno
 
 
 
Liang Gou, Visa Research
 
 
 
Denis Gracanin, Virginia Tech
 
 
 
Jiquan Han, Huawei Technologies
 
 
 
Jiangen He, Drexel University
 
 
 
Masahito Hirakawa, Shimane University
 
 
 
Seok-Hee Hong, University of Sydney
 
 
 
Xiaodi Huang, Charles Sturt University
 
 
 
Weidong Huang, University of Tasmania
 
 
 
Takayuki Itoh, Ochanomizu University
 
 
 
Andreas Kerren, Linnaeus University
 
 
 
Karsten Klein, University of Konstanz
 
 
 
Jun Kong, North Dakota State University
 
 
 
Robert S. Laramee, Swansea University
 
 
 
Yina Li, Nankai University
 
 
 
Zhanping Liu, Kentucky State University
 
 
 
Zhipeng Liu, Huawei Technologies
 
 
 
Aidong Lu, UNC Charlotte
 
 
 
Kresimir Matkovic, VRVis Research Center
 
 
 
John McGhee, UNSW Australia
 
 
 
Kazuo Misue, University of Tsukuba
 
 
 
Chris Muelder, University of California at Davis
 
 
 
Quang Vinh Nguyen, University of Western Sydney
 
 
 
Patrick Pang, The University of Melbourne
 
 
 
Margit Pohl, Vienna University of Technology
 
 
 
Francois Poulet, IRISA
 
 
 
Martin R?hlig, University of Rostock
 
 
 
Raimondo Schettini, Università degli Studi di Milano-Bicocca
 
 
 
Kamran Sedig, The University of Western Ontario
 
 
 
Guanglei Song, Twitter
 
 
 
Arcot Sowmya, University of New South Wales
 
 
 
Changming Sun, CSIRO
 
 
 
Ioannis G. Tollis, University of Crete
 
 
 
Cagatay Turkay, City University London
 
 
 
Gualtiero Volpe, DIBRIS-University of Genova
 
 
 
Sai-Keung Wong, The National Chiao Tung University
 
 
 
Hsiang-Yun Wu, Keio University
 
 
 
Jie Wu, Tongji University
 
 
 
Yingcai Wu, Zhejiang University
 
 
 
Yu-Bin Yang, Nanjing University
 
 
 
Kang Zhang, University of Texas at Dallas
 
 
 
Ye Zhao, Kent State University
 
 
 
Jianlong Zhou, CSIRO
 
 
 
Hong Zhou, Shenzhen University
 

Revision as of 15:51, 20 July 2017

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: October 28, 2015 Authors Notification: January 28, 2016 Camera Ready and Registration: February 12, 2016

Position Papers Paper Submission: January 5, 2016 Authors Notification: February 5, 2016 Camera Ready and Registration: February 19, 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

Scope: Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly and intelligently through advanced algorithms, techniques, models and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics and machine learning algorithms.

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

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