PUN, Simon
Associate Professor
PhD (University of Southern California, U.S.A)
MEng (University of Tsukuba, Japan)
BEng (The Chinese University of Hong Kong, Hong Kong)
Professor Simon Pun graduated from The Chinese University of Hong Kong in 1996 with a Bachelor's degree in Electronic Engineering. Supported by scholarships from the Japanese government and the Sir Edward Youde Memorial Fund of the Hong Kong government, he obtained his Master’s degree in Engineering from the University of Tsukuba, Japan, in 1999 and his Ph.D. from the University of Southern California, USA, in 2006. After completing his Ph.D., Professor Pun conducted postdoctoral research at Princeton University and then spent several years conducting cutting-edge research in signal processing and machine learning at Mitsubishi Electric Research Laboratories (MERL) in the USA and Huawei (US) in the USA. In 2015, he joined the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen.
Professor Pun has published over 130 academic papers in areas such as satellite remote sensing, satellite communications, and wireless communications. His book, Multi-Carrier Techniques for Broadband Wireless Communications, was published by Imperial College Press in 2007 and has since been collected by more than 1,200 renowned libraries worldwide, including the National Library of China and the MIT Library. Professor Pun served as an associate editor for the prestigious journal IEEE Transactions on Wireless Communications from 2010 to 2013. In 2023, he was invited by Elsevier to act as guest editor for a book in the Earth Observation series, with a focus on Data Fusion and Classification Based on Multimodal Data. In addition, he served as a guest editor for special issues on the latest applications of machine learning in remote sensing for notable journals such as Remote Sensing and APSIPA Transactions on Signal and Information Processing.
In recent years, Professor Pun has been recognized with honors such as the Pengcheng Scholar Award, and the 2016 Shenzhen Outstanding Teacher Award. In 2023, his paper on change detection in remote sensing was selected by the Shenzhen Association for Science and Technology as one of the Third Shenzhen Excellent Science and Technology Academic Papers. Dr. Pun also serves as the associate/acting college master for Harmonia College (2020-) and the director of the Nobel Class (2018-) at CUHK(SZ). He was the Assistant Dean (Student Affairs) of the School of Science and Engineering from 2016 to 2019.
- M.O. Pun, M. Morelli and C.-C. Kuo, Multi-Carrier Techniques For Broadband Wireless Communications: A Signal Processing Perspectives, Imperial College Press, U.K. 2007.
- X. Ma, Q. Wu, X. Zhao, X. Zhang, M.O. Pun and B. Huang, "SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, August 2024.
- Q. Wu, X. Ma, J. Sui and M.O. Pun, "DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, June 2024.
- J. Sui, Y. Ma, W. Yang, X. Zhang, M.O. Pun and J. Liu, "Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-14, June 2024.
- Y. Wen, X. Ma, X. Zhang and M.O. Pun, "GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature-Guided DDPM," IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, March 2024.
- X. Ma, X. Zhang, M.O. Pun and M. Liu, "A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation”, IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-15, March 2024.
- X. Zhang, W. Yu, M.O. Pun and W. Shi, "Cross-domain landslide mapping from remote sensing images using prototype-guided domain-aware progressive representation learning”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 197, pp. 1-17, March 2023.
- X. Ma, X. Zhang, Z. Wang and M.O. Pun, "Unsupervised domain adaptation augmented by mutually boosted attention for semantic segmentation of VHR Remote Sensing Images”, IEEE Trans. on Geoscience and Remote Sensing, vol. 61, pp. 1-15, Feb. 2023.