Call For Work-in-Progress Short Papers

Is your research a Work-In-Progress? You still have an opportunity to showcase your exciting preliminary results in the CICom Conference.

Scope

We encourage practitioners, researchers and especially PhD students to showcase their research questions, goals, methods and results in the Works-in-Progress Short Papers Track. This unique track provides an excellent opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, fostering discussions and collaborations among colleagues.

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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

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

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

Track 4: Computational Intelligence on Human/Brain-Computer 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

Publication

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Additional publication opportunities:

Paper submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Important dates

Full Paper Submission deadline
1 June 2021  15 July 2021 (extended)
Notification deadline
30 June 2021  30 July 2021 (extended)
Camera-ready deadline
15 July 2021   1 October 2021 (extended)

Start of Conference
18 November 2021
End of Conference
19 November 2021