论文信息 - Probabilistic identification and discrimination of deep space objects via astrometric and photometric data fusion

Probabilistic identification and discrimination of deep space objects via astrometric and photometric data fusion

• Awarded highly prestigious postdoctoral position at Los Alamos National Laboratory. • Expert in uncertainty quantification, stochastic systems, data assimilation, and nonlinear estimation and control theory. • Teaching and graduate student mentoring experience. • Excellent graduate and postdoctoral career, over 6 peer review journal papers and 35 conference papers. description Using new advanced estimation techniques for nonlinear and non-Gaussian effects in stochastic dy-namical systems.

Richard Linares | R. Linares

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