Introduction & Research Demos
The ISPLab pursues frontier and original research in our specialization area with current research interests in:
High-performance digital filter design; fuzzy and deep neural network design; discrete Gabor transform; evolutionary and multi-objective optimization algorithms.
The ISPLab accepts Ph.D. students, and M.A.Sc. students under the supervision of Dr. H. K. Kwan. We offer the needed financially support to a highly qualified and motivated graduate applicant with a suitable academic background and a strong interest to complete a Ph.D. (or M.A.Sc.) research in our area of specialization. Our Ph.D. and M.A.Sc. students are regular full-time students in the Department of Electrical and Computer Engineering of the Faculty of Engineering and are admitted under the normal University of Windsor's graduate admission procedures.
Our research is supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC).
B. Research Demos
Demo 1: Huabin Wang, Rui Cheng, Jian Zhou, Liang Tao, Hon Keung Kwan, "Multistage model for robust face alignment using deep neural networks," preprint arXiv:2002.01075, 2020.
© Copyright 2020
University of Windsor
Demo 2: Jian Zhou, Yuting Hu, Hailun Lian, Huabin Wang, Liang Tao, Hon Keung Kwan, "Multimodal voice conversion under adverse environment using a deep convolutional neural network," IEEE Access, volume 7, pages 170878 - 170887, 26 November 2019, DOI: 10.1109/ACCESS.2019.2955982