Topics of interest

• Theory and Representation: Probability theory, Bayesian inference, fuzzy sets and fuzzy logic, Dempster-Shafer theory, belief functions, logic-based fusion and preference aggregation, random sets, point processes, finite set statistics, analytic combinatorics, topic modeling.

• Algorithms: Registration, detection,localization and signal processing, automatic target recognition and classification, nonlinear filtering, tracking and data association, automated situation assessment, prediction, pattern and behavioral analysis,distributed fusion process and sensor resource management distributed fusion, process and sensor resource management.

• Solution Paradigms: Sequential inference, data mining, graph analysis, machine learning,ontology.

• Data Specific Processing and Fusion: Image and video, radar, passive sensors; soft data sources.

• Modeling, simulation and evaluation:  Target and sensor modeling, benchmarks, testbeds, fusion performance modeling and evaluation.

• Applications: Aided fusion, sensor networks, persistent surveillance, defense and intelligence, security, robotics, transportation and logistics, manufacturing, economics and financial, environmental monitoring, medical care, bioinformatics.