At IFIS, we aim to make machines reason and decide under profound uncertainty—not just to process data, but to understand the nature of belief, conflict, and ignorance embedded in the physical and abstract world. We explore the frontiers of information fusion and uncertainty quantification, blending classical Evidence Theory (Dempster-Shafer) with the mathematical elegance of Fuzzy Sets, Random Permutation Sets, and even Quantum Theory.
Our philosophy is holistic: we believe that intelligent systems must be as deeply rooted in fundamental theories of uncertainty as they are in real-world utility. We let applications inform theory, and theoretical rigor guide applications. This dual lens is what makes our work both principled and impactful. We are driven by curiosity and a commitment to open, rigorous, and transformative science.
Our research spans:
- Uncertainty Theory & Information Fusion: Developing novel frameworks (Dempster-Shafer Theory, D-Numbers, Random Permutation Sets) and entropy measures (Belief Entropy, Deng Entropy) to model and fuse conflicting, uncertain, and incomplete information.
- Quantum Information Processing: Exploring novel computational paradigms, including quantum circuits and quantum mass functions, to handle belief functions, model uncertainty, and accelerate information fusion.
- Fuzzy Systems: Developing fuzzy models for complex decision-making, pattern recognition, and control systems.
- Time Series Analysis: Developing new models for complex forecasting and pattern recognition.
- Complex Network Analysis: Identifying influential nodes, assessing network vulnerability, and modeling information flow using evidential and entropy-based approaches.
- Intelligent Decision & Risk Analysis: Applying our theoretical models to high-stakes applications, including multi-criteria decision making (MCDM), fault diagnosis, clustering (Evidential C-Means), and risk assessment (FMEA).
Highlights
Our Publications
We actively publish at the top venues of computer science, including TPAMI, TKDE, TSMC, TFS, etc.
Our Research
We publish in a variety of areas that cross-feed each other, including: evidence theory, information theory, non-linear dynamic, quantum computing, information fusion, time series analysis, and complex system modeling.
Our Team
We are a fortunate to be in a world-class team composed of individuals from diverse backgrounds, ethnicities with distinct skillsets.