赵世杰
基本信息：
姓名：赵世杰
籍贯：山东五莲
出生年月：1987.12
政治面貌：中共党员
个人邮箱：zhaoshijie@lntu.edu.cn
科研简历：
赵世杰，博士，副教授，博士生导师，辽宁省“百千万人才工程”人选，学校青年教师提升计划“拔尖人才”，CCF计算机应用专委会执行委员。目前主要从事水下导航与定位、数据解析延拓与航迹规划、智能优化与机器学习等方向的科研工作。担任 IEEE T SYST MAN CY-S 、IEEE-CAA J AUTOMATIC 、INT J APPL EARTH OBS 、IEEE SENS J 、J FIELD ROBOT、ISA TRANSACTIONS、ENG APPL ARTIF INTEL、ARTIF INTELL REV等SCI期刊评审专家。主持国家、省部级科研课题5项，参与国家自然基金、国家重点研发项目等科研课题。以第一作者/通讯作者在IEEE Internet of Things Journal、IEEE Trans. on Instrumentation and Measurement、IEEE Sensors Journal、Engineering Applications of Artificial Intelligence等期刊发表SCI学术论文20余篇(其中ESI热点/高被引论文3篇、SCI Top论文7篇)。获得辽宁省科技进步一等奖、英国伦敦国际发明铂金奖等科技奖励。指导本科生\研究生获学科竞赛国家级奖项20余项。
研究方向：
1）水下导航与智能定位
2）水下重力/地磁场解析延拓及智能航迹规划
3）智能优化与机器学习及其应用
代表性论文
1. Zhao Shijie, Dou Zhiyuan, Zhu Huizhong, Zheng Wei, Shen Yifan. ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation[J]. IEEE Internet of Things Journal, 2025. (SCI, 中科院一区Top, IF=8.2) DOI: 10.1109/JIOT.2025.3527761.
2. Zhao Shijie, Zheng Wei, Li Zhaowei, Zhu Huizhong, Xu aigong. Improving matching efficiency and out-of-domain positioning reliability of underwater gravity matching navigation based on a novel domain-center adaptive-transfer matching method[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-11. (SCI, 中科院二区 Top, IF=5.6) DOI: 10.1109/TIM.2023.3235452.
3. Zhao Shijie, Zheng Wei, Li Zhaowei, Zhu Huizhong, Xu aigong. Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method[J]. IEEE Sensors Journal, 2023, 23(10): 10758-10766. (SCI, 中科院二区, IF=4.3) DOI: 10.1109/JSEN.2023.3265307.
4. Zhao Shijie, Zheng Wei, Li Zhaowei, Zhu Huizhong, Xu aigong. A novel cross-line adaptive domain matching algorithm for underwater gravity aided navigation[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 1-5. (SCI, 中科院三区, IF=4.0) DOI: 10.1109/LGRS.2023.3274356.
5. Zhao Shijie, Zheng Wei, Li Zhaowei, Zhu Huizhong, Xu aigong. Improving matching efficiency and out-of-domain reliability of underwater gravity matching navigation based on a novel soft-margin local semicircular-domain re-searching model[J]. Remote Sensing, 2022, 14(9): 2129. (SCI, 中科院二区, IF=4.2) DOI: 10.3390/rs14092129.
6. Zhao Shijie, Zheng Wei, Li Zhaowei, Xu aigong, Zhu Huizhong. Improving matching accuracy of underwater gravity matching navigation based on iterative optimal annulus point method with a novel grid topology[J]. Remote Sensing, 2021, 13(22): 4616. (SCI, 中科院二区, IF=4.2) DOI: 10.3390/rs13224616.
7. Zhao Shijie, Zhang Tianran, Ma Shilin, Chen Miao. Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications[J]. Engineering Applications of Artificial Intelligence, 2022, 114: 105075. (ESI热点/高被引论文, SCI, 中科院二区 Top, IF=7.5,) DOI: 10.1016/j.engappai.2022.105075.
8. Zhao Shijie, Zhang Tianran, Ma Shilin, Wang Mengchen. Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems[J]. Applied Intelligence, 2023, 53(10): 11833-11860. (ESI热点/高被引论文, SCI, 中科院二区, IF=3.4) DOI: 10.1007/s10489-022-03994-3.
9. Zhao Shijie, Zhang Tianran, Cai Liang, Yang Ronghua. Tria ngulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications[J]. Expert Systems with Applications, 2024, 238: 121744. (ESI热点论文, SCI, 中科院一区Top, IF=7.5,) DOI: 10.1016/j.eswa.2023.121744.
10. Zhao Shijie, Ma Shilin, Zhang Tianran, Chen Miao. VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for muti-and many-objective optimization algorithm[J]. Expert Systems with Applications, 2025, 259: 125300. (SCI, 中科院一区Top, IF=7.5) DOI: 10.1016/j.eswa.2024.125300.
11. Zhao Shijie, Wang Mengchen, Ma Shilin, Cui Qianqian. A feature selection method via relevant-redundant weight[J]. Expert Systems with Applications, 2022, 207: 117923. (SCI, 中科院一区Top, IF=7.5) DOI: 10.1016/j.eswa.2022.117923.
12. Zhao Shijie, Wang Mengchen, Ma Shilin, Cui Qianqian. A dynamic support ratio of selected feature-based information for feature selection[J]. Engineering Applications of Artificial Intelligence, 2023, 124: 106544. (SCI, 中科院二区Top, IF=7.5) DOI: 10.1016/j.engappai.2023.106544.
