PRIMORIS      Contacts      FAQs      INSTICC Portal
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


Victor Chang
Xi'an Jiaotong-Liverpool University
Brief Bio
Victor Chang is an Associate Professor (Reader) in Information Management and Information Systems of International Business School Suzhou, Xi'an Jiaotong Liverpool University, China. He's also a Director of PhD Program. He was previously a Senior Lecturer in the School of Computing, Creative Technologies at Leeds Beckett University, UK. He’s a Visiting Researcher at the University of Southampton, UK and an Honorary Associate Professor at the University of Liverpool, UK. He is an expert on Cloud Computing and Big Data in both academia and industry with extensive experience in related areas since 1998. He completed a PGCert (Higher Education) and PhD (Computer Science) within four years while working full-time. He has over 100 peer-reviewed published papers. He won £20,000 funding in 2001 and £81,000 funding in 2009. He was involved in part of the £6.5 million project in 2004, part of the £5.6 million project in 2006 and part of a £300,000 project in 2013. He won a 2011 European Identity Award in Cloud Migration, since his work is making contributions. He has won 2016 European Identity and Cloud Award on the best project in research, involved with more than 20 collaborators worth more than $10 millions in valuation. He was selected to present his research in the House of Commons in 2011 and won the best paper in 2012 and 2015. He has demonstrated Storage as a Service, Health Informatics as a Service, Financial Software as a Service, Education as a Service, Big Data Processing as a Service, Integration as a Service, Security as a Service, Social Network as a Service, Data Visualization as a Service (Weather Science) and Consulting as Service in Cloud Computing and Big Data services in both of his practitioner and academic experience. His proposed frameworks have been adopted by several organizations. He is the founding chair of international workshops in Emerging Software as a Service and Analytics and Enterprise Security. He is the founding chair of IoTBDS and COMPLEXIS which have become popular in research communities. He is an Editor-in-Chief (EIC) in International Journal of Organizational and Collective Intelligence and a founding EIC in Open Journal of Big Data. He is the Editor of a highly prestigious journal, Future Generation Computer Systems (FGCS). He is a reviewer of numerous well-known journals and had published three books on Cloud Computing which are available on Amazon website. He is a keynote speaker for CLOSER 2015/WEBIST2015/ICTforAgeingWell 2015 and has received positive support. Dr. Victor has given or will give 10 international keynotes since the end of Year 2016. He has won the Outstanding Young Scientist of Year 2017 this February.
Chung-Sheng Li (honorary)
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 ( 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 is the Research Professor of Big Data Systems and the Director for 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 Huddersfield, Swansea, Cambridge, Birmingham and Oxford. Rashid has almost 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 better quality of life and Smart Economy with a focus on real-time intelligence and dynamic system management. He has published over 100 research papers including 4 edited books. He has organised and chaired international conferences and workshops in his areas of expertise including EuropeComm 2009 and Nets4Cars 2010 - 2013. He has led and contributed to academia-industry collaborative projects funded by EPSRC, EU, UK regional funds, and Technology Strategy Board UK with value over £50 million. He is a founding member of the Future Cities and Community Resilience (FCCR) Network. He is a member of ACM, OSA, Senior Member IEEE and former Vice-Chairman of IET Wales SW Network.
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 Assistant Professor in Computer Science at the University of Southampton. His research interests include middleware, distributed computing, hypermedia and graphical formal modelling language. He is supervising a few PhD students specializing in Cloud Computing.


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.

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


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


Available soon.


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.


After thorough reviewing by the special session program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.
SCITEPRESS is a member of CrossRef ( 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


IoTBD Special Sessions - RAIBS 2016