吃瓜视频

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姜强强
作者: 来自: 更新时间:2025-11-14


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姓名

姜强强


系/所:

物流管理系/交通运输与物流研究所

职务:

专任教师

职称:

讲师

电话:


电子邮件:

[email protected]

通讯地址:

吃瓜视频 梅山校区王明康乐雪芳海运楼1322室



研究领域


智能交通与智慧航运、调度优化、深度强化学习、边缘智能、低空技术




个人简介

姜强强,男,工学博士,讲师。主要从事AI技术(计算智能、深度强化学习、大语言模型)在无人机辅助港航运输场景下的应用(调度、规划与决策)研究。近年来在IEEE Trans. on Aerospace and Electronic Systems、IEEE Trans. on Geoscience and Remote Sensing、IEEE Internet of Things Journal、International Journal of Production Research等国际期刊、会议上发表学术论文10余篇,参与国家重点研发计划课题、广东省自然科学基金面上项目、军科委基础加强计划子课题。

一、教育经历

2022.03-2025.09,哈尔滨工业大学,航空宇航科学与技术,博士

2023.09-2025.08,香港理工大学,博士联合培养

2018.09-2020.06,浙江大学,软件工程,硕士

2014.09-2018.06,江苏科技大学,软件工程,学士

二、工作经历

2025.11–至今,吃瓜视频 ,吃瓜视频 ,讲师


科研项目

1.国家重点研发计划课题:空间环境影响卫星行为的机理及其卫星大脑的智能化体系架构研究,参与,2022.12–2027.11.

2.广东省自然科学基金面上项目:面向高复杂度在轨处理任务的星载异构资源智能协同计算模型,参与,2022.01–2024.12.

3.军科委基础加强计划子课题:XX计算加速样机集成研究,参与,2022.03–2023.03.


代表性论文和专著

[1] Q. Jiang, L. Zheng, H. Liu, Y. Zhou, Q. Kong*, Y. Zhang, B. Chen*. Efficient On-Orbit Remote Sensing Imagery Processing via Satellite Edge Computing Resource Scheduling Optimization, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 1-19. (SCI, 中科院一区 TOP)

[2] Q. Jiang, P. Han*, X. Xin, K. Chen. Deep Reinforcement Learning and Edge Computing for Multisatellite On-Orbit Task Scheduling, IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(5): 14143-14159. (SCI, JCR Q1)

[3] Q. Jiang, H. Wang, Y. Zhang, Q, Kong, B. Chen*. On-Orbit Remote Sensing Image Processing Complex Task Scheduling Model Based on Heterogeneous Multiprocessor, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-18. (SCI, 中科院一区 TOP)

[4] Q. Jiang, X. Xin, T. Zhang, K. Chen*. Energy-Efficient Task Scheduling and Resource Allocation in Edge Heterogeneous Computing Systems Using Multi-Objective Optimization, IEEE Internet of Things Journal, 2025, 12(17): 36747-36764. (SCI, 中科院一区 TOP)

[5] Q. Jiang, X. Xin, L. Yao, B. Chen*. METSM: Multiobjective energy-efficient task scheduling model and method for an edge heterogeneous multiprocessor system, Future Generation Computer Systems, 2024, 152: 207-223. (SCI, JCR Q1)

[6] X. Xin, Q. Jiang*, S. Li, S. Gong, K. Chen. Energy-efficient scheduling for a permutation flow shop with variable transportation time using an improved discrete whale swarm optimization, Journal of Cleaner Production, 2021, 293: 126121. (SCI, 中科院一区 TOP)

[7] X. Xin, Q. Jiang*, C. Li, S. Li, K. Chen. Permutation flow shop energy-efficient scheduling with a position-based learning effect, International Journal of Production Research, 2021, 61(2): 382–409. (SCI, JCR Q1)

[8] Q. Jiang, Y. Guo*, Z. Yang, Z. Wang, X. Zhou. Improving the performance of whale optimization algorithm through OpenCL-based FPGA accelerator, Complexity, 2020, 1: 8810759. (SCI, JCR Q2)

[9] Q. Jiang, Y. Guo, Z. Yang*, X. Zhou. A parallel whale optimization algorithm and its implementation on FPGA, 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2020. (EI国际会议)

[10] L. Zheng, Q. Jiang, Y. Zhang, B. Chen*. Deep Reinforcement Learning for Joint Observation and On-Orbit Computation Scheduling in Agile Satellite Constellations. Aerospace. 2025; 12(10): 914. (SCI, JCR Q2)

[11] H. Zhao, Y. Zhang, Q. Jiang, X. Wei, S. Li, B. Chen*. Software-Defined Satellite Observation: A Fast Method Based on Virtual Resource Pools, Remote Sensing. 2023, 15(22): 5388. (SCI, JCR Q1)



软件版权登记及专利


一、软著

1.基于Bot Framework及LUIS的校园社团服务软件,2017(登记号:2017SR372026)

二、专利

1.面向旋转摆扫超宽幅卫星的异构任务调度方法及装置,2024(已授权,专利号:ZL202111599786.X)

2.一种面向旋转摆扫超宽幅卫星的在轨异构计算方法,2021(实质审查,专利号:CN202111618999.2)

3.面向海上无人设备的深度强化学习任务调度方法及装置,2022(实质审查,专利号:CN202210880692.8)

4.一种面向海上无人设备的高能效异构多核调度方法及装置,2022(实质审查,专利号:CN202210879082.6)



获奖与荣誉

1.Imagine Cup微软创新杯中国区二等奖,2016

2.中国大学生计算机设计大赛二等奖、三等奖,2017

3.江苏科技大学优秀共产党员,2018

4.浙江大学优秀研究生干部,2019

5.浙江大学优秀毕业研究生,2020



学术兼职


IEEE Transactions on Aerospace and Electronic Systems》、《Computers & Operations Research》、《Journal of Cleaner Production》、《Scientific Reports》、《The Journal of Supercomputing》、《Soft Computing》等SCI期刊审稿人