1.      Computer Applications in Science and Engineering

• Computational earth and atmospheric sciences
• Computational materials science and engineering
• Computational astrophysics
• Computational chemistry and physics
• Computational fluid dynamics
• Computation and data enabled social science
• Computational design
• Computer Science
• Bioinformatics and computational biology
• Applications, Business and Social Issues

2.      Information Technology

• Management Information Systems
• Database and Data Management
• Distributed Computer System
• Computer Networks and Communication
• Information Storage
• Operating System
• Information Technology for Biomedicine and Smart Health
• Reliability, Security, Privacy and Trust
• Web Technology

3.      Measurement Technologies

• Advances in Instrumentation and Measurement
• Data Acquisition Systems
• Signal Processing
• Measurement and Instrumentation for Industrial Applications
• Measurement Software
• Measurement, Instrumentation, and Methodologies for Medical, Biomedical, and Healthcare Systems
• Non-invasive Measurement

4.      Modeling and Simulation

• Systems Modeling
• Statistical and Probabilistic Modelling
• Numerical Methods
• Mathematical Modelling
• Multi-Paradigm Modelling
• Environmental Modelling
• Biomedical Modelling
• Time series and system modeling

5.      Software Design and Development

• System Software and Software Engineering
• Creating software architectures
• Platforms, Design and Code
• Identity & access control for web applications
• Building software for the .NET platform
• Microservices in practice.

6.      Simulation Tools

• Simulation methods: discrete, parallel and distributed, time synchronization, load balancing and migration, model partitioning, hybrid, interoperation, multi-resolution and multi-scale.
• Simulation techniques: service-oriented, agent-based, web-based, component-based, symbiotic.
• Simulation software: environments, tools, libraries, and frameworks.
• Simulation performance: GPU-based, in the cloud, scalability.Modeling formalisms: DEVS, Petri Nets, process algebras, state charts, and others.
• Simulation packages: Modelica, ns-2/3, OPNET, Qualnet, OMNET++.

7.     Formal Methods

• Formal methods in interdisciplinary frameworks
• Formal methods in practice: Industrial applications
• Tools for formal methods: automated verification and model-checking, tools integration, environments, and experimental validation.
• Formal methods in software and systems engineering.

8.     Networking and Internet of Things

• Future Internet
• Social Computing and Social Network
• Web Technologies

9.     Artificial Intelligence