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IoTforeHealth 2018 - Workshop on Big Data Analytics and IoT for Smarter Hea...

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Vila Galé Santa Cruz

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Workshop on Big Data Analytics and IoT for Smarter Healthcare - IoTforeHealth 2018

19 - 21 March, 2018 - Funchal, Madeira, Portugal

In conjunction with the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS 2018


SCOPE

In recent years, the Internet of Things (IoT) and Big Data have grown at an exponential pace.
When coupled with the rise of wearable devices, the market is now ripe for use of miniature, wearable biosensors to personalize eHealth and mHealth services. These types of services will significantly increase availability and accessibility of health information, and allow patients to personalize and tailor how their health is managed and maintained. This innovation is not without its drawbacks. Many challenges related to consistency, safety, and reliability remain. In order to succeed in this technology, multidisciplinary research is needed, in addition to collaboration between academia and industry. This workshop will bring researchers and industrial partners together to examine the synergies of signal, data, and information processing.
Together, they will make important strides in the smart healthcare sector and work toward making eHealth accessible for all.



Topics of Interest

This workshop will invite academia and industry to submit high-quality, original research on novel advances in (but not limited to) the following:
  • 1. Use of IOT in medical and healthcare applications
  • 2. Novel signal processing methods for wearable and implantable biosensors
  • 3. Big-data analytics in healthcare and wearable devices
  • 4. Machine learning, scalable machine learning, and deep learning algorithms for IoT
  • 5. Novel devices, circuits, and architectural support for healthcare-aware IoT
  • 6. Cloud-based eHealth solutions
  • 7. Fog computing/edge clouds for healthcare and cloud resource allocation and monitoring
  • 8. Privacy and security tactics for large-scale analytics
  • 9. Case studies of successful eHealth systems (telemedicine applications, health management applications, etc.)



IMPORTANT DATES

Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018




CO-CHAIRS


Farshad Firouzi
IMEC/Katholieke Univ. Leuven
Germany
Brief Bio
is a senior researcher and program manager at MSG Systems AG, Germany working in the fields of statistics, machine learning, neuromorphic computing, IoT, Big Data, and eHealth. Prior to joining MSG Systems, he was senior scientist at KU Leuven, KIT, SRC, and SI LAB. Dr. Firouzi is the author of more than 40 journals and conference papers. He has served as reviewer (e.g. IEEE Transactions on VLSI, IEEE Transactions on Circuits and System, ACM Transactions on Design Automation of Electronic Systems, Elsevier Microelectronics Reliability, Elsevier Microelectronics, etc.), managing guest editor (e.g. TVLSI, FGCS, TCAD), Program Chair (e.g., Complexis) and program committee member in several conferences (e.g. ICCAD, ATS, etc.).


Bahar Farahani
Pirouzan Group
Iran, Islamic Republic of
Brief Bio
Dr. Bahar Farahani is CEO and co-founder of Pirouzan, Inc., a top-leading company that delivers IoT-aware eHealth products and services — ranging from innovative connected medical devices; to cloud-based software for medical record-keeping, smart screening, disease prediction, e-prescription and Big Data analysis; to top-quality hospitals and clinics. She has also served as an advisor and consultant to various companies/organization including Iran Khodro Industrial Group, Dadeh Pardazi Iran, and Islamic Republic News Agency. Moreover, she has served as a guest editor in various journals such as Elsevier FGCS, IEEE TVLSI and IEEE TCAD.


Victor Chang
Xi'an Jiaotong-Liverpool University
China
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.




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



KEYNOTE SPEAKERS

Tobias Hoellwarth, EuroCloud Europe, Austria
Péter Kacsuk, MTA SZTAKI, Hungary




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Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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