基本信息
浏览量:53
职业迁徙
个人简介
I received my Master degree in 2005 and Ph.D. in 2013 (Advisor: Prof. Bart De Moor), both in Electrical Engineering, from the KU Leuven, Belgium.
I am currently a Post-doctoral Research Fellow at the University of Hong Kong. (Host: Dr. N. Wong)
My current research involves the development of innovative tensor methods and their application on high-dimensional data problems in signal processing, machine learning and control. For example, I have developed and implemented an algorithm that uses Tensor Networks (TN) to estimate the coefficients of a multiple-input-multiple-output (MIMO) Volterra model from measured data. This algorithm is able to estimate 10 million coefficients in about 1 second on a standard desktop computer, whereas the identified model is able to predict future data with a relative error of 5%. Other developed tensor algorithms are a Tensor Network Kalman filter, a polynomial classifier for the classification of images, and various tensor decomposition algorithms with applications in image processing and nonlinear block-structured system identification. All my implementations are released as open source and can therefore be freely downloaded, used and modified. Furthermore, I also have a strong passion for education and the popularisation of science and engineering.
I am currently a Post-doctoral Research Fellow at the University of Hong Kong. (Host: Dr. N. Wong)
My current research involves the development of innovative tensor methods and their application on high-dimensional data problems in signal processing, machine learning and control. For example, I have developed and implemented an algorithm that uses Tensor Networks (TN) to estimate the coefficients of a multiple-input-multiple-output (MIMO) Volterra model from measured data. This algorithm is able to estimate 10 million coefficients in about 1 second on a standard desktop computer, whereas the identified model is able to predict future data with a relative error of 5%. Other developed tensor algorithms are a Tensor Network Kalman filter, a polynomial classifier for the classification of images, and various tensor decomposition algorithms with applications in image processing and nonlinear block-structured system identification. All my implementations are released as open source and can therefore be freely downloaded, used and modified. Furthermore, I also have a strong passion for education and the popularisation of science and engineering.
研究兴趣
论文共 3 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
IFAC-PapersOnLineno. 2 (2023): 7282-7287
引用0浏览0引用
0
0
IFAC-PapersOnLineno. 2 (2023): 7294-7299
引用0浏览0引用
0
0
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn