The BDIOT 2022 topics include but are not limited to the following. Authors are encouraged to submit unpublished original research works. Topics of interest for submission include, but are not limited to:

Topic area 1: BIG DATA RESEARCH 

    » Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value
    » Modeling, Experiments, Sharing Technologies & Platforms
    » Analytics, Intelligence and Knowledge Engineering
    » Data Center Enabled Technologies
    » Networking and Social Networks
    » Data Management for Large Data
    » Software Frameworks (MapReduce, Spark Etc) and Simulations
    » Social Science and Implications for Big Data
    » Cloud and grid computing for Big Data
    » Data Mining and Machine Learning
    » Intelligence Artificial and data sciences
    » Information and knowledge management
    » Cloud computing and service data analysis
    » Data warehouses, cloud architectures
    » Big Data Analytics in Government, Public Sector and Society in General

Topic area 2: INTERNET OF THINGS (IOT) FUNDAMENTALS & APPLICATIONS 

    » Software Architecture and Middleware
    » Recommender Systems, Smart Devices and Location-Awareness
    » Performance Evaluation and Modeling
    » Networking and Communication Protocols
    » Machine to Machine Communications
    » Energy Efficiency
    » Software Engineering for IoT and IoE
    » Machine Learning and Deep Learning Approaches Data Analytics
    » Technological Focus for Smart Environments
    » Smart City Examples and Case Studies
    » Architecture for Secure and Interactive IoT
    » Social Implications and Ethics for IoT Intelligence
    » Systems for IoT and Services Computing
    » Sensor Networks, Remote Diagnosis and Development
    » Transportation Management Traffic Theory, Modeling and Simulation
    » Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
    » IoT privacy and security concerns tests, certification, and labelling
    » IoT security of smart sustainable cities
    » 6G-enabled IoT

Topic area 3: BIG DATA FOR MULTI-DISCIPLINE SERVICES 

    » Smart City and Transportation
    » Blockchain
    » Education and Learning
    » Business, Finance and Management
    » Case Studies of Real Adoption
    » Biomedical Experiments and Simulations
    » Social Networks Analysis, Media and eGovernment
    » Risk Modeling and Analysis, Simulations of Economic Impacts of the Pandemic
    » Healthcare Services, Health Informatics and Biological Research of the Pandemic

Topic area 4: EMERGING SERVICES AND ANALYTICS 

    » Health Informatics as a Service (HIaaS) forAny 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 Applications for Risk, Pricing, Disaster Analysis and Predictive Modeling
    » Education as a Service (EaaS) Including eLearning, Tele-educational and Tele-research Applications
    » Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
    » Analytics as a Service (AaaS) for Any Types of Analytics
    » Scheduling, Service Science, Performance Evaluation and Load Balance for SaaS and Analytics
    » eGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data
    » IoT Services and Applications
    » Transport Safety and Mobility
    » IoT in Autonomous and e-vehicles
    » 3D Printing and Nanotechnology and/or Biotechnology
    » New Service Models and Emerging Services