Personal profile
兰剑，国家级高层次人才特聘教授、某计划重点项目技术首席专家、教育部自动化教指委委员；主要研究方向为多源信息融合及智能信息处理，包括多传感器目标检测、识别、定位与跟踪等，应用领域包括防空、反导、自动驾驶、低空监管等；提出序贯混合式融合、不相关转换滤波、条件联合决策与估计等理论与技术；在IEEE汇刊等顶级刊物及会议上发表论文100余篇；主持国家级及其他项目40余项；获得国家级和省部级奖励10余项。
1. The National Natural Science Foundation of China (Grant No. U23B2035, Key Program), principal investigator (PI), 2024~2027 (Research topic: Marine target detection, recognition, and tracking).
2. The National Natural Science Foundation of China (Grant No. 62273269, General Program), PI, 2023~2026 (Research topic: Nonlinear filtering using multiple conversion of measurements for target tracking).
3. The National Natural Science Foundation of China (Grant No. U1809202, Key Program), PI, 2019~2022 (Research topic: Underwater target detection, classification, localization, and tracking).
4. The National Natural Science Foundation of China (Grant No. 61573020, General Program), PI, 2016~2019 (Research topic: Nonlinear estimation in target tracking).
5. The National Natural Science Foundation of China (Grant No. 61203120, Youth Program), PI, 2013~2015 (Research topic: Maneuvering extended object tracking).
6. National Key Basic Research Strengthen Foundation of China (Grant No. 2022-JCJQZD-016-01), PI, 2022~2025.
7. A subproject of the GF973 Program of China, PI, 2015~2016.
8. The Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20110201120007), PI, 2012~2014 (Research topic: Multiple-model approach to maneuvering extended object tracking).
9. The Aeronautical Science Foundation of China (Grant No. 2011XX), PI, 2011~2013.
10. The Fundamental Research Funds for the Central Universities of China (Grant No. xjj2012075), PI, 2012~2014 (Research topic: Estimation of the state and extension of extended objects).
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