John L. Crassidis photo

Professor and Associate Director, Center for Multisource Information Fusion

Mechanical and Aerospace Engineering

University at Buffalo

1007 Furnas Hall

Buffalo, NY 14260

716-645-2593 ext 2262


Dr. John L. Crassidis


Research Interests:

Data/Information fusion; Optimal nonlinear estimation, Robust vehicle tracking and navigation; Situational awareness

Summary of Recent Relevant Research:

Dr. Crassidis’s research involves the development of generalized multiple-model adaptive estimation (GMMAE) strategies that are used to provide significant convergence rate improvements of system model parameter and state identification, as well as enhanced probabilistic assignments of outcomes. Specific extreme event applications involve the use of GMMAE to provide risk assessment tools for situational refinement using both sensor and contextual data inputs. As Associate Director of the Center for Multisource Information Fusion (CMIF), Dr. Crassidis is responsible for level-1 fusion applications, which involve observation-to-track association, continuous state estimation (e.g. kinematics) and discrete state estimation (e.g. target type and ID) and prediction. Currently, a consortium between the University at Buffalo through CMIF, Texas A&M University and Virginia Tech is being conceived with the ultimate goal of mitigating disaster response coordination through the use of robotic sensors and uninhabited air vehicles in conjunction with state-of-the-art data fusion techniques.

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