Call for Posters and Demos

The 9th EAI International Conference on Advanced Hybrid Information Processing, EAI ADHIP 2025, invites Posters proposals that address innovative and important topics related to the application of pervasive technologies in the field of information processing theory and technology innovation.

This session aims at reporting on the progress of ongoing research and insights into the lessons learned from current information processing projects in a face-to-face, hands-on, and more informal setting. We invite a wide range of topics and types of work, including evaluations, methodologies, technological innovations, and design in the area of advanced methods in big hybrid data processing. We encourage the authors to use the Posters and Demos venue as a way to open up discussions with the ADHIP community about their early work in progress and develop the work for future collaborations. Representatives from industry, including established companies and startups, are warmly welcome to showcase products and services that are related to the topics of the conference.

  1. Human-computer interaction and artificial intelligence
    The Combination of Neural Networks and Fuzzy Logic (Neuro-Fuzzy Systems)
    Convergence of evolutionary algorithms and machine learning
    Multi-Agent Systems
    Hybrid optimization algorithm
    Combination of deep learning and traditional machine learning
    Integration of reinforcement learning with supervised/unsupervised learning
    Study on interpretability of mixed models
    Combination of small sample learning and transfer learning
    Multimodal interaction (voice, gesture, visual)
    Emotional computing and intelligent interaction
    Brain-computer interface and hybrid control
    Hybrid interaction in virtual reality and augmented reality 
  2. Multi-source information fusion and signal processing
    Sensor data fusion
    Cross-modal information fusion (e.g. image and text)
    Uncertainty processing and confidence evaluation
    Distributed information fusion
    Audio and video signal processing
    Biomedical signal processing
    Communication signal processing
    Hybrid filter design
    Hybrid clustering algorithm
    Mixed classification model
    Anomaly detection and pattern recognition
    Large-scale data mining
  3. Modeling and decision optimization
    Multi-objective optimization
    Hybrid heuristic algorithm
    Intelligent decision support system
    Real-time optimization and dynamic decision making
    Hybrid encryption algorithm
    Multilevel intrusion detection system
    Blockchain and Information security
    Hybrid network defense strategy
    The combination of quantum computing and classical computing
    Biologically inspired algorithms (e.g. genetic algorithms, ant colony algorithms)
    Hybrid cloud and edge computing
    High-performance hybrid computing architecture

Accepted and presented posters and demos will be submitted for publication by Springer and made available through SpringerLink Digital Library. Posters will be published as a part of the EAI ADHIP 2025 Conference Proceedings in a non-indexed Annex section.

Poster and demo submissions should be a maximum of 4 pages including references, figures, tables, and appendix.
The deadline for the submissions is  June 30, 2025.

Please note that a shorter version of already published work is not suitable for this session. Authors willing to present a poster or a demo will submit a short paper, maximum of 4 pages in total (including references, figures, tables, appendixes etc.) describing their poster or demo. We expect most works to include a short introduction, a description of the employed methods and, if applicable, results.
Poster and demo papers must be formattedusing the Springer LNICST Authors’ Kit.
Instructions and templates are available from:
Please make sure that your paper adheres to the format as specified in the instructions and templates.
When uploading the camera-ready copy of your paper, please be sure to upload both:
  • a PDF copy of your paper formatted according to the above templates, and
  • an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.
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