Due to the safety concerns and travel restrictions caused by COVID-19, EAI CICOM 2022 will take place online in a live stream.
Participants will still be able to enjoy unique interactive benefits – learn more.
We are pleased to invite you to submit your paper
Participate online and join the conference
from wherever you are!
Get the same full publication and indexing, enjoy EAI’s fair evaluation and recognition, present your paper to a global audience, and experience virtual meetings live as well as
on-demand from the safety and comfort of your home.
Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience.
Paper Submission is now open for the 3rd edition of EAI CICom 2022! Check out the Call for Papers.Take a look back at the previous edition of EAI CICom here.EAI CICom 2022 supports revolutionary EAI Community Review, find out more here.Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.Get real feedback on your presentation from other registrants via EAI Compass.
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
In this year’s CICom, we are soliciting original contributions on computational intelligence and
communications whose applications are beneficial to the concerned entity in particular, and to the
society in general. In other words, we are soliciting contributions on ethical use of computational
intelligence and communications. We are particularly interested in new solutions that detect and
stop the propagation of fake news, prevent malware, stop hacking, detect facial recognition for
surveillance purposes, and the likes. Other works related to this theme are welcome.
Computational intelligence is a computer science field by which a computer can learn a specific
task from data or experimental observation. It addresses complex real-world problems in which
mathematical or traditional modelling are not the preferred solution given that (i) the involved
computational process might be too complex for mathematical reasoning; (ii) it might contain some
uncertainties during the process, or (iii) by nature, the computational process is a randomly
determined one (heuristic). EAI International Conference on Computational Intelligence and
Communications (CICom 2021) provides solutions to various problems of this nature.
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
• Expert and Decision Support Systems
• System Identification and Learning
• Fault Detection and Diagnosis
• Complex System Modelling
• Fuzzy Neural Systems and Control
• Hybrid Intelligent Control
• Advanced transportation information, communication and management systems
• Object recognitions such as pedestrian detection, traffic sign detection and recognition
• Multimodal intelligent transport systems and services
• Vehicle communications and connectivity
• Personalized driver and traveller support systems
• Simulation and forecasting models
• Driver assistance and automation systems
• Driver state detection and monitoring
• Ethical Computational Intelligence in Automation, Control, and Intelligent Transportation
Track 2: Computational Intelligence on Big Data, Internet of Things, and Smart Cities
• Efficient algorithms on reading, processing and analysis of big data
• Integration of multi-modal, multi-fidelity, and structured and unstructured 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
• Feature learning and feature engineering
• Data mining from nonstationary and drifting environments
• Novel Architecture and Protocols of AI Integrated with IoT
• Security, Privacy, Access Control, and Trust Frameworks of IoT
• Resource Management Techniques of Using AI for IoT
• Control Schemes in IoT
• Smart Data Storage in IoT
• Ethical Computational Intelligence on Big Data, Internet of Things, and Smart Cities
Track 3: Computational Intelligence on Wireless Communication Systems and Cyber Security
• Machine Learning for Networks
• V2X Communications
• Unmanned Aerial Vehicles
• Wireless Sensor Networks
• Low Power Wireless Area Networks
• Network Virtualization
• Quality of Service (QoS)
• Resources Management
• Embedded systems
• Software Defined Networks
• Waveforms and Radio Access Technologies
• Software Defined Radio
• Visible Light Communication (VLC)
• Radio Interference Management
• Radio Access Networks
• Intrusion/malware detection, prediction, classification, and response
• 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 insider and outsider threat detection
• Cloud and virtualization security
• Block-chain security
• Ethical Computational Intelligence on Wireless Communication Systems and Cyber Security
Track 4: Computational Intelligence on Human-Machine Interfaces and Recognition
• Signal processing for Brain-Computer Interface (BCI)
• BCI Feature Extraction, 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
• Neural networks for feature analysis
• Fuzzy logic for feature analysis
• Hybrid evolutionary computation and machine learning
• 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
• Ethical Computational Intelligence on Human-Machine Interfaces, and Image and Recognition
All registered papers will be submitted for publishing by Springer/EAI SICC series as the edited book and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
Authors of selected papers will be invited to submit an extended version to:
All accepted authors are eligible to submit an extended version in a fast track of:
Additional publication opportunities:
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.