EAI CICom 2022 will be held as a fully-fledged online conference.

In 2021, EAI successfully launched an online conference format to ensure the safety, comfort and quality of experience for attendees and a successful course of the events, all while retaining fully live interaction, publication and indexing. Due to the unrelenting global pandemic, this will also be the case in 2022.

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. Learn more about EAI’s online conferences.

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Scope

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.

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General Chair
- Manolo Dulva Hina
ECE Paris School of Engineering, France

Technical Program Committee Chairs
- Manolo Dulva Hina
ECE Paris School of Engineering, France
- Amar Ramdane-Cherif
University of Versailles – Paris Saclay, France
- Seyedali Mirjalili
Torrens University, Australia
- Jaouhar Fattahi
Université Laval, Canada
- Piotr Kuwalek
Poznan University of Technology, Poland
- Yassine Meraihi
Université de Boumerdes, Algeria

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Publication

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:

EAI Endorsed Transactions on Scalable Information Systems (Open Access) – indexed in ESCI, Ei Compendex & Scopus
EAI Endorsed Transactions on Mobile Communications and Applications (Open Access)
Additional publication opportunities:

EAI/Springer Innovations in Communications and Computing Book Series

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Topics

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
• Blockchains
• 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 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
• 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 Pattern
Recognition

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This event is organized by EAI (www.eai.eu).

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower global research and innovation, and to promote cooperation between European and International ICT communities.