I-SMAC 2020 - 4th Scopus-Indexed IEEE International Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud) (I-SMAC 2020)

IoT platform architecture
IoT analytics
Privacy preserving IoT data mining
IoT and big data integrity and confidentiality
Data and knowledge as a services
Security and privacy applications
Real-time and stream processing techniques and algorithms
Batch processing engine and techniques
Real-life case studies of value creation through advanced data analytic
Proactive/predictive and advanced machine learning model
Simplified and distributed data processing techniques
Ubiquitous machine learning
Smart home and independent living
Fog and Egde computing of healthcare data
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
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
Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
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
Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT
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
Integration as a Service (data; service; business; federated IoT)
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
Wireless Systems and Applications
e-Government, e-Commerce, e-Science and Creative Technologies for IoT