Jen-Tzung Chien received his Ph.D. degree in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan, in 1997. He is now with the Department of Electrical and Computer Engineering and the Department of Computer Science, National Chiao Tung University, Hsinchu. His research interests include machine learning, deep learning, speech recognition, blind source separation, face recognition, and information retrieval. Dr. Chien served as the Associate Editor of the IEEE Signal Processing Letters in 2008-2011 and the Tutorial Speaker for the ICASSP in 2012, the INTERSPEECH in 2013, the APSIPA in 2013, the ISCSLP in 2014, the ICASSP in 2015, the INTERSPEECH in 2016, and the ICASSP in 2017. He has published extensively, including the book "Bayesian Speech and Language Processing", Cambridge University Press, 2015. He is currently serving as an elected member of the IEEE Machine Learning for Signal Processing Technical Committee. He is the general co-chair of the IEEE International Workshop on Machine Learning for Signal Processing in 2017.

Honors and Awards

o 2016 IEEE Fellow
o 2018 IET Fellow 
o 2021 AdvanceHE Principal Fellow
o 2022 AAIA Fellow

Professional Experience

o 國立陽明交通大學電機工程學系 教授 (2009.08 ~ present)
o 國立交通大學電信工程學系教授 (1999.08 ~2001.07)
o 國立交通大學電信工程學系副教授 (1990.02 ~1994.07)

• 機器學習
• 深度學習
• 語音處理
• 自然語言處理
• 電腦視覺

• C. H. Yang, M. C. Lee, C. H. Lin and T. S. Lee, “Learning-Aided Beam Domain Fingerprinting Indoor Localization with Multiple Antenna Systems,” submitted to IEEE Trans. Wireless Communications.
• S. X. Yu, M. C. Lee, Z. T. Liao, Y. H. Tsai, and T. S. Lee, “Joint Hybrid Precoder and Combiner Design for MIMO-OFDM Systems with Dynamic-Connected Architecture and Low-Resolution Phase Shifters,” submitted to IEEE Trans. Vehicular Technology.
• J. H. Kim, M. C. Lee and T. S. Lee, “Generalized UAV Deployment for UAV-Assisted Cellular Networks,” submitted to IEEE Trans. Wireless Communications.
• Y. C. Lin, T. S. Lee and D. Zhi. “A Scalable Deep Learning Framework for Dynamic CSI Feedback with Variable Antenna Port Numbers," submitted to IEEE Trans. Wireless Communications.

• Y. C. Lin, T. S. Lee and Z. Ding, “Training-free Cost-efficient Compression for Massive MIMO Channel State Information,” submitted to 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, Dec. 2023.
• Y. W. Chen, M. J. Tsai, H. S. Lu, K. T. Feng, T. S. Lee and J. C. Lan, “Efficient TIS Sensitivity Measurement with Machine Learning Approach and 5G Dataset,” submitted to 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Canada, Sept. 2023.
• S. X. Yu, M. C. Lee and T. S. Lee, “Joint Hybrid Precoder and RIS Design for RIS-Aided MIMO-OFDM Systems,” submitted to 2023 IEEE Conference on Communications 2023, Kuala Lumpur, Malaysia, Dec. 2023.

• T. S. Lee, M. C. Lee and C. H. Lin, “Wireless Communications and Sensing: Fundamentals, Machine Learning Approaches and Vehicular Applications, CRC Press, 2023.
• L. L. Yang, K. T. Feng, S. H. Wu, and T. S. Lee, Resource Allocation in OFDMA Systems, to be published in 2023.
• T. S. Lee, M. C. Lee, S. Q. Zhan and C. C. Wu, 3GPP New Radio (NR) for 5G Mobile Communications: Principles and Practices, Taipei: Chuan Hwa, ISBN 978-986-503-940-0, November 2021 (in Chinese).

•  Beam Domain Localization System and Method,” R.O.C. patent I802358 (2023).
•  Quality of Experience Optimization System and Method”, U.S. patent 11,570,063B2 (2023).