Conference:  2026 IEEE International Conference on Big Data

Special Session:  Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications

Submission Deadline:  Oct. 30, 2026

URL:  https://bigdataieee.org/BigData2026/calls/special-tuai/

Scope

Artificial Intelligence (AI) has evolved rapidly, impacting various fields from healthcare to autonomous systems. However, as AI models become increasingly complex, understanding their decision-making processes is crucial for trust, fairness and applicability in practice. This special session aims to explore cutting-edge advancements in Explainable AI (XAI), Federated Learning, Trustworthy AI, Light-Weighted Edge computing, and Multimodal Large Language Models (LLMs), with a focus on time-series analysis, sensor fusion, generative models, and cyber-physical systems. Topics are as follows, but not limited to:

 XAI in Advanced Time Series and Visual Analysis

XAI for Collaborative Sensor Fusion

Federated Learning in Generative Models and Graph Neural Networks

Sustainable and Trustworthy AI Solutions for Safety-Critical Cyber-Physical Systems

LLM/VLM Theoretical and Applicable Developments

Real-Time Anomaly Detection on Edge Devices

Federated Learning with Heterogeneous Edge Nodes

This project is partially supported by the European Union’s HORIZON TMA MSCA Doctoral Networks, HORIZON-MSCA-2023-DN-01, grant number: 101168344

Important Dates

Electronic submission of full papers: Oct. 30, 2026

Notification of paper acceptance: Nov. 10, 2026

Camera-ready of accepted papers: Nov. 14, 2026

Conference: Dec 14-17, 2026

Organizers

Rafal Cupek, Silesian University of Technology, Poland

Dariusz Mrozek, Silesian University of Technology, Poland

Jerry Chun-Wei Lin, Silesian University of Technology, Poland

Submission Address

https://wi-lab.com/cyberchair/2026/bigdata26/scripts/ws_submit.php?subarea=SP