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Resume (English only)
Academic Achievements
Developed the Generalized Optimal Sub-Pattern Assignment (GOSPA) metric for evaluating multi-target filtering algorithms, penalizing localization errors, missed targets, and false targets
Introduced the Trajectory GOSPA (T-GOSPA) metric for multi-target tracking evaluation, incorporating track switch penalties
Extended GOSPA to graphs (Graph GOSPA) to measure discrepancies between graphs of different sizes, accounting for node and edge errors
Made significant contributions to Poisson Multi-Bernoulli Mixture (PMBM) filters—closed-form, fully Bayesian multi-target tracking algorithms with efficient hypothesis management
Developed multiple variants of PMBM filters: for point targets, extended targets, coexisting targets, detection-based models, and continuous-discrete dynamics
Promoted Poisson Multi-Bernoulli (PMB) approximations for computational efficiency
Published influential papers in venues such as IEEE Transactions on Signal Processing