CiCOM 2021 will provide an opportunity to exchange innovative research on Computational Intelligence and Communications. Computational Intelligence makes use of biologically and linguistically motivated computational paradigms including neural networks, fuzzy logic systems, and evolutionary computation, as well as social reasoning, artificial life, ambient intelligence, deep learning, and the likes. New technologies in communications bring new application paradigms for healthcare, transportation, education, agriculture, and social networks. With the arrival of 5G and 6G networks technologies, we need to address new research challenges, including the tight integration of machine intelligence, efficient and reliable networking, interoperability, scalability and security.

Track topics include, but are not limited to:

Track 1: Computational Intelligence in Automation, Control, and Intelligent Transportation System

Intelligent Decision Making and Support
Adaptive and Optimal Control
Model-Predictive Control
Fuzzy Systems and Control
Fuzzy Neural Systems and Control
Hybrid Intelligent Control
Object recognitions, traffic sign detection and recognition
Multimodal intelligent transport systems & services
Vehicle communications and connectivity
Driver and traveller support systems
Simulation and forecasting models
Driver assistance and automation systems
Driver state detection and monitoring

Track 2: Computational Intelligence on Big Data, Internet of Things, and Smart Cities

Efficient algorithms on processing and analysis of big data
Extracting and understanding from distributed, diverse and large-scale data resources
Visualisation of big data and visual data analytics
Human-computer interaction and collaboration in big data
Classification, Clustering, Regression
Data mining from nonstationary and drifting environments
Novel Architecture and Protocols of AI Integrated with IoT
Security, Privacy, Access Control, & Trust Frameworks of IoT
Resource Management Techniques of Using AI for IoT
Control Schemes in IoT Smart Data Storage in IoT

Track 3: Computational Intelligence on Wireless Communication Systems and Cyber Security

Machine Learning for Networks
Unmanned Aerial Vehicles
Wireless Sensor Networks
Network Virtualization
Software Defined Networks | Blockchain and its security
Waveforms and Radio Access Technologies
Software Defined Radio
Visible Light Communication (VLC)
Radio Access Networks
Intrusion/malware detection, prediction, and classification
Sensor network security, web security, wireless and 4G, 5G media security
Self-awareness, auto-defensiveness, self-reconfiguration, and self-healing networking paradigm
Modelling adversarial behaviour for threat detection
Cloud and virtualization security

Track 4: Computational Intelligence on Human/Brain-omputer Interfaces & Image and Pattern Recognition

Signal processing for Brain-Computer Interface (BCI)
BCI Feature Extraction, Pattern Recognition, and Multiple modalities for BCI
Invasive and non-invasive BCIs.
Online and offline BCI applications
Advances on Human-Computer Interfaces
Feature ranking and weighting
Feature selection, extraction, construction, and reduction
Feature analysis on high-dimensional and large-scale data
Evolutionary computation for feature analysis
Information theory, statistics, mathematical modelling, etc., for feature analysis
Feature analysis in classification, clustering, regression, image analysis, and other tasks
Real-world applications of computational intelligence for feature analysis