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Special Session
Special Session on
Recent Advancement in IoT, Big Data and Security - RAIBS 2016

23 - 25 April, 2016 - Rome, Italy

Within the International Conference on Internet of Things and Big Data - IoTBD 2016


CO-CHAIRS

Victor Chang
Aston Business School, Aston University
United Kingdom
https://scholar.google.com/citations?hl=en&user=IqIYZ14AAAAJ&view_op=list_works&sortby=pubdate
 
Brief Bio
Prof. Victor Chang is a Professor of Business Analytics at Operations and Information Management, Aston Business School, Aston University, UK, since mid-May 2022. He was previously a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, since September 2019. He was previously a Senior Associate Professor, Director of Ph.D. and Director of MRes at International Business School Suzhou, Xi’an Jiaotong-Liverpool University, China. He was also a very active contributing key member at the Research Institute of Big Data Analytics, XJTLU. Before that, he worked as a Senior Lecturer at Leeds Beckett University, UK. Within 4 years, Prof Chang completed Ph.D. (CS, Southampton) and PGCe rt (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won 2001 full Scholarship, a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European award: Best Project in Research, 2016-2018 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017-2022 INSTICC Service Awards, Talent Award Suzhou 2019, Top 2% Scientist 2019-2022, Highly Cited Researcher 2021, Outstanding Reviewer of several Elsevier journals 2018-2019 and Outstanding Editor of FGCS (stepped down). He is the Associate Editor of IEEE TII, JGIM, Expert Systems and IJBSR and an Editor of Information Fusion, Scientific Report and IDD journals. He is the Editor-in-Chief of IJOCI and OJBD journals, and holds important or lead guest editor roles in several prestigious journals. Prof Chang was involved in different projects worth more than £14 million in Europe and Asia. He has published 3 books as sole author and the editor of 2 books on Cloud Computing and related technologies. He gave 48 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientists and experts in IoT/Data Science/Cloud/Security/AI/IS, as he has the experience to develop 10 different services for multiple disciplines. He is the founding conference chair for IoTBDS, COMPLEXIS and FEMIB to build up and foster active research communities globally with positive impacts.
Chung-Sheng Li (honorary)
Independent Researcher
United States

 
Brief Bio
Chung-Sheng Li is currently the director of the Commercial Systems Department, PI for the IBM Research Cloud Initiatives, and the executive sponsor of the Security 2.0 strategic initiative. He has been with IBM T.J. Watson Research Center since May 1990. His research interests include cloud computing, security and compliance, digital library and multimedia databases, knowledge discovery and data mining, and data center networking. He has authored or coauthored more than 130 journal and conference papers and received the best paper award from IEEE Transactions on Multimedia in 2003. He is both a member of IBM Academy of Technology and a Fellow of the IEEE. He received BSEE from National Taiwan University, Taiwan, R.O.C., in 1984, and the MS and PhD degrees in electrical engineering and computer science from the University of California, Berkeley, in 1989 and 1991, respectively.
Gary Graham
University of Leeds
United Kingdom

 
Brief Bio
Graham is an Associate Professor of Operations and Supply Chain Management and a co-director of the Cities themed Design and Production Group. He is a visiting research scholar at The Massachusetts Institute of Technology’s Centre for Transport and Logistics. He founded and co-ordinates the Smart Cities and Economic Resilience Network (a membership of 60 international scholars, manufacturers, supply chain managers and community workers (http://www.fccrnet.org/)). His work focuses on smart city manufacturing, productivity, localization, smaller companies and democratising the means of production. He has research collaboration on “Distributed Manufacturing” and “Industry 4.0” with the Institute for Manufacturing, University of Cambridge.
Rashid Mehmood
King Abdul Aziz University
Saudi Arabia

 
Brief Bio
Rashid Mehmood is the Research Professor of Big Data Systems and the Director of Research, Training, and Consultancy at the High Performance Computing Centre, King Abdulaziz University, Saudi Arabia. He has gained qualifications and academic work experience from universities in the UK including Swansea, Cambridge, Birmingham, and Oxford. Rashid has over 20 years of research experience in computational modelling and simulation systems coupled with his expertise in high performance computing. His broad research aim is to develop multi-disciplinary science and technology to enable a better quality of life and Smart Economy with a focus on real-time intelligence and dynamic system management. He has published over 150 research papers including 4 edited books.
Patrick Hennelly
Institute for Manufacturing, University of Cambridge
United Kingdom

 
Brief Bio
Patrick is a research assistant at the Institute for Manufacturing, Cambridge University. Patrick Hennelly's PhD focuses on relationship formation in the UK offshore wind, UK Steel and UK Textile industries. His research interests lie in the areas of supply chain management, distributed manufacturing and smart city production systems. He is part of the Future Cities and Community Resilience network. He has reviewed for journals such as SCM: an international Journal, Production Planning and Control, Technological Forecasting and Social Change. He has presented conference papers at Cambridge’s Annual International Manufacturing Symposium and the annual European Decision Science Institute Conference.
Robert Walters
University of Southampton
United Kingdom

 
Brief Bio
Robert John Walters is an Emeritus Fellow of Department of Electronics and Computer Science at the University of Southampton. His research interests include middleware, distributed computing, hypermedia and graphical formal modelling language. He is supervising PhD students specializing in Cloud Computing.

SCOPE

This special session is looking for modern advances in Big Data, Internet of Things and Complex Information Systems. Any papers fall under the scope of the calls for papers in both IoTBD 2016 and COMPLEXIS 2016, are welcome to submit. We welcome authors who have made improvement in their existing work to submit to our workshop.

Topics
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
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
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
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
Any emerging services

IMPORTANT DATES

Paper Submission: February 29, 2016 (expired)
Authors Notification: March 7, 2016 (expired)
Camera Ready and Registration: March 11, 2016 (expired)

SPECIAL SESSION PROGRAM COMMITTEE

Available soon.

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library

SECRETARIAT CONTACTS

IoTBD Special Sessions - RAIBS 2016
e-mail: iotbd.secretariat@insticc.org
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