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Hongbin Li received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, in 1991 and 1994, respectively, and the Ph.D. degree from the University of Florida, Gainesville, FL, in 1999, all in electrical engineering.
From July 1996 to May 1999, he was a Research Assistant in the Department of Electrical and Computer Engineering at the University of Florida. Since July 1999, he has been with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, where he is a Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2003, 2004 and 2009. His general research interests include statistical signal processing, wireless communications, and radars.
Dr. Li received the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology, the Outstanding Paper Award from the IEEE AFICON Conference in 2011, the Harvey N. Davis Teaching Award in 2003 and the Jess H. Davis Memorial Award for excellence in research in 2001 from Stevens Institute of Technology, and the Sigma Xi Graduate Research Award from the University of Florida in 1999. He has been a member of the IEEE SPS Signal Processing Theory and Methods (2011 to now) Technical Committee (TC) and the IEEE SPS Sensor Array and Multichannel TC (2006--2012). He is an Associate Editor for Signal Processing (Elsevier), and served on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, and IEEE Transactions on Signal Processing. He was a Guest Editor for EURASIP Journal on Applied Signal Processing. He has been involved in various conference organization activities, including serving as a General Co-Chair for the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Hoboken, NJ, June 17-20, 2012.
From July 1996 to May 1999, he was a Research Assistant in the Department of Electrical and Computer Engineering at the University of Florida. Since July 1999, he has been with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, where he is a Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2003, 2004 and 2009. His general research interests include statistical signal processing, wireless communications, and radars.
Dr. Li received the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology, the Outstanding Paper Award from the IEEE AFICON Conference in 2011, the Harvey N. Davis Teaching Award in 2003 and the Jess H. Davis Memorial Award for excellence in research in 2001 from Stevens Institute of Technology, and the Sigma Xi Graduate Research Award from the University of Florida in 1999. He has been a member of the IEEE SPS Signal Processing Theory and Methods (2011 to now) Technical Committee (TC) and the IEEE SPS Sensor Array and Multichannel TC (2006--2012). He is an Associate Editor for Signal Processing (Elsevier), and served on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, and IEEE Transactions on Signal Processing. He was a Guest Editor for EURASIP Journal on Applied Signal Processing. He has been involved in various conference organization activities, including serving as a General Co-Chair for the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Hoboken, NJ, June 17-20, 2012.
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.8501-8505, (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.8506-8510, (2024)
IEEE Transactions on Signal Processingno. 99 (2024): 1-17
CoRR (2024)
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Yifan Liang,Hongbin Li
2024 58th Annual Conference on Information Sciences and Systems (CISS)pp.1-6, (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.9826-9830, (2024)
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.5170-5174, (2024)
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 11 (2023): 8679-8692
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