王永华,博士(后),副教授、高级工程师,IEEE Senior member。2009年博士毕业于中山大学通信与信息系统专业,同年进入广东工业大学自动化学院工作。2013.10-2016.10为华南理工大学和中国电子科技集团公司第七研究所联合培养博士后。2019.9-2020.3香港城市大学访问学者。
目前主要研究方向为信号处理、机器学习、智能测控。主持国家自然科学基金面上项目、中央财政支持地方高校改革发展专项资金项目、中国博士后科学基金特别资助项目、中国博士后科学基金面上项目、广东省自然科学基金、广东省科技计划项目等科研项目十余项。主持教育部产学合作协同育人项目四项、广东省 “质量工程”建设项目两项、省研究生教改项目两项、省教改项目一项。在国内外期刊和会议发表论文60余篇,获得授权专利30余项,转让8项。
被评为2022年度校级优秀研究生导师。课题组研究生就业良好,近年来就业单位包括华为、腾讯、汇川技术、海康威视、工商银行、广州银行等,部分学生读博深造。
曾指导本科生获得过世界机器人大赛格斗机器人大赛冠军和二等奖、广东省电子设计竞赛一等奖、全国虚拟仪器大赛(广东省赛区)一等奖等多项科技竞赛奖励。
欢迎在数学、控制理论、信号处理或算法等方面有良好基础的学生,欢迎做事认真、喜欢思考、主动性强、有团队精神的学生加入团队!优先欢迎有意攻读博士学位的学生!
部分科研项目
1. 国家自然科学基金面上项目、61971147,基于信息几何的多维频谱感知和融合方法研究,2020.1-2023.12,主持。
2. 广东省自然科学基金-面上项目,2023A1515011888 ,无人集群系统多域频谱感知和融合方法研究,2023.1-2025.12,主持。
3. 中国博士后科学基金会,特别资助项目,2015T80920,***网络动态频谱分配研究(保密项目),2015.6至2016.10,主持。
4. 中国博士后科学基金会,面上项目,2014M552529,****无线网络自组织和动态频谱接入研究(保密项目),2014.5至2016.10,主持。
5. 广东省科技计划项目、基于物联网和云计算的药品冷链物流电子监管关键技术与产业化、2013 -2015,合作主持。
6. 广州市科技计划项目、201200000026、输变电设备物联网可视化智能监测系统、2012-2014、主持。
部分论文
1. Ningkang Liao, Yongwei Zhang, Yonghua Wang*, and Yang Liu, "Deep Denoising and Clustering-Based Cooperative Spectrum Sensing for Non-Orthogonal Multiple Access,"in IEEE Transactions on Cognitive Communications and Networking,vol. 10, no. 5, pp. 1831-1842, Oct. 2024, doi: 10.1109/TCCN.2024.3427133.
2.Yonghua Wang; Zhihai Tang; Aiwen Huang; Hong Zhang; Le Chang* and Jianping Pan, "Placement of UAV-Mounted Edge Servers for Internet of Vehicles," in IEEE Transactions on Vehicular Technology, vol. 73, no. 7, pp. 10587-10601, July 2024, doi: 10.1109/TVT.2024.3368407.
3. Yonghua Wang; Zheliang Zhang; Yongwei Zhang; Mingming Liang and Derong Liu*, "A Novel Online Adaptive Dynamic Programming Algorithm With Adjustable Convergence Rate," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 3, pp. 1371-1384, March 2024, doi: 10.1109/TCSI.2023.3346029.
4.Guanghai Xu; Yonghua Wang*; Bingfeng Zheng and Jiawen Li, "Deep Semi-Supervised Learning-based Spectrum Sensing at Low SNR," in IEEE Communications Letters, doi: 10.1109/LCOMM.2024.3468299.
5. Ningkang Liao; Yongwei Zhang and Yonghua Wang*, "A Spectrum Sensing Method Based on Fusion Features and Online Learning in Time-Varying Environments," in IEEE Systems Journal, vol. 17, no. 3, pp. 4833-4842, Sept. 2023, doi: 10.1109/JSYST.2023.3266225.
6. Shuwan Ma; Yonghua Wang*; Jinxuan Ren; Ming Yin, "A Cooperative Spectrum Sensing Method Based on Soft Low-Rank Subspace Clustering," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 9, pp. 3954-3958, Sept. 2022, doi: 10.1109/TCSII.2022.3174342.
7. Yongwei Zhang; Shunchao Zhang; Yonghua Wang*; Jiawei Zhuang and Pin Wan, "Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing," in IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 1, pp. 47-56, March 2022, doi: 10.1109/TCCN.2021.3089686.
8. Shunchao Zhang; Yonghua Wang*; Yongwei Zhang; Pin Wan and Jiawei Zhuang, "Riemannian Distance-Based Fast K-Medoids Clustering Algorithm for Cooperative Spectrum Sensing," in IEEE Systems Journal, vol. 16, no. 1, pp. 880-890, March 2022, doi: 10.1109/JSYST.2021.3056547.
9. Shunchao Zhang; Yonghua Wang*; Yongwei Zhang; Pin Wan and Jiawei Zhuang. "A Novel Clustering Algorithm Based on Information Geometry for Cooperative Spectrum Sensing," in IEEE Systems Journal, vol. 15, no. 2, pp. 3121-3130, June 2021, doi: 10.1109/JSYST.2020.3001407.
10. Yonghua Wang; Xueyang Li; Pin Wan and Ruiyu Shao, "Intelligent Dynamic Spectrum Access Using Deep Reinforcement Learning for VANETs," in IEEE Sensors Journal, vol. 21, no. 14, pp. 15554-15563, 15 July15, 2021, doi: 10.1109/JSEN.2021.3056463.
Name of Research Group:智能计算与智能控制团队
Description of Research Group:所在的团队成员有刘德荣教授、彭世国教授、万频教授等。