冯振华

基本信息

冯振华，教授、博导，多模态机器智能实验室负责人
IEEE高级会员、英国高等教育学会会士

2016-2024年任职于英国萨里大学计算机视觉、语音和信号处理中心（Centre for Vision,Speech and Signal Processing，CVSSP）和计算机科学与电子工程学院。先后担任研究员（2016-2019）、高级研究员（2019-2020）、讲师/助理教授（2020-2023）、高级讲师/副教授（2023-2024）、本科计算机专业负责人（BSc Computer Science Programme Lead，2022-2024）等职位。

研究方向

计算机视觉，模式识别，机器学习，多模态内容生成，生物特征识别，AI4S等

招生专业

1. 博士研究生：软件工程
2. 学术型研究生：计算机科学与技术
3. 专业型研究生：人工智能、计算机技术

学术任职

- 2022-今，IEEE Trans. on Neural Networks and Learning Systems，副主编

- 2020-今，Complex & Intelligent Systems，副主编

- 2025-今，IEEE Trans. on Games，客座副主编

- 2026，国际模式识别会议International Conference on Pattern Recognition（ICPR），领域主席（Area Chair）

- 2023，International Journal of Computer Vision（IJCV），客座副主编

- 2022，英国机器视觉会议British Machine Vision Conference（BMVC），程序委员会主席

- 2021-2025，英国机器视觉会议British Machine Vision Conference（BMVC），领域主席（Area Chair）

- 2022-2024，ACM SIGGRAPH European Conference on Visual Media Production（CVMP），领域主席（Area Chair）

- 2020，人工智能国际顶级会议International Joint Conference on Artificial Intelligence（IJCAI），程序委员会高级成员

- 2018，IEEE FG Workshop on Dense 3D Reconstruction of 2D Face Images in the Wild，学术研讨会主席

学术成果和获奖

- 在计算机视觉、模式识别和机器学习等领域发表高水平论文150余篇，其中包括TPAMI, IJCV, CVPR, ICCV, ACL, AAAI, IEEE-TIP, IEEE-TIFS, IEEE-TMM等。谷歌学术引用6900余次，H指数为37（https://scholar.google.com/citations?user=Y6KtijIAAAAJ）

- 主持国家级科研课题两项，负责英国Innovate KTP项目两项，参与EPSRC Programme Grant、欧盟FP7、国家自然科学基金等科研课题多项

- 2017年，获欧洲生物特征识别协会“欧洲生物特征识别工业奖”

- 2024年，获国际模式识别会议International Conference on Pattern Recognition（ICPR）“最佳科学论文奖”

- 2025年，获江南大学研究生教学成果特等奖

- 2025年，获Springer Nature“杰出编辑贡献奖”

- 2018年，获国际学术会议The 10th International Conference on Articulated Motion and Deformable Objects（AMDO）“最佳商业应用论文奖”

- 2022年，获第五届中国模式识别和计算机视觉会议（PRCV）“最佳学生论文奖”

- 2021年，获第三十三届上海市优秀发明选拔赛“优秀发明银奖”

- 2022年，获英国萨里大学计算机科学与电子工程学院“年度杰出青年教师奖（Early Career Teacher of the Year Award）”

- 2017年，获英国萨里大学电子工程系“杰出研究奖”

- 2018年，获英国萨里大学计算机视觉、语音和信号处理中心（Centre for Vision,Speech and Signal Processing，CVSSP）颁发的“Bill Christmas杰出研究奖”

- 2015年，研究论文被选为国际信号处理研究领域著名期刊IEEE Signal Processing Letter的封面论文

- 2015年，研究论文被国际图像处理会议（IEEE International Conference on Image Processing, ICIP）评选为“Best 10% Paper”

联系方式：fengzhenhua@jiangnan.edu.cn

Curriculum Vitae – Zhenhua Feng

Professor of Computer Vision and Machine Learning, IEEE Senior Member, FHEA
Email:fengzhenhua@jiangnan.edu.cn
School of Artificial Intelligence and Computer Science, Jiangnan University
1800 Lihu Avenue, Wuxi, Jiangsu, P. R. China
Postcode: 214122

Zhenhua Feng is Professor of Computer Vision and Machine Learning at the School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China. He is also Senior Member of IEEE and Fellow of the Higher Education Academy (UK). Before joining the Jiangnan University, he was Research Fellow (2016-2019), Senior Research Fellow (2019-2020), Lecturer (2020-2023) and Senior Lecturer (2023-2024) at the Centre for Vision, Speech and Signal Processing (CVSSP) and the School of Computer Science and Electronic Engineering, University of Surrey, UK. He also served as the Programme Lead of the BSc Computer Science programme (2022-2024) at the University of Surrey.

His research interests include computer vision, machine learning, pattern recognition, image processing, etc. He has published more than 150 papers in top-tier journals and conferences, such as IEEE-TPAMI, IJCV, IEEE-TIP, IEEE-TMM, CVPR, ICCV, AAAI, IJCAI, ACL, etc. His publications have been cited more than 6900 times with an H-index of 37 (Google Scholar). He received the “European Biometric Industry Award” from the European Association of Biometrics (EAB) in 2017.

He currently serves as Associate Editor for IEEE Trans. on Neural Networks and Learning Systems and Complex & Intelligent Systems, and Guest Editor for IEEE Trans. on Games. He also served as the Guest Editor for the International Journal of Computer Vision (IJCV) in 2023, Programme Chair for the British Machine Vision Conference (BMVC) 2022, Area Chair for BMVC 2021/22/23/24/25, Area Chair for the International Conference on Pattern Recognition (ICPR) 2026, Area Chair for ACM SIGGRAPH European Conference on Visual Media Production (CVMP) 2022/23/24, Senior Programme Committee Member for the International Joint Conference on Artificial Intelligence (IJCAI) 2021, etc.