Invited Speakers 特邀嘉宾
Assoc. Prof. Junjie Shi
Harbin Engineering University, China
Bio:
Junjie Shi received
his B.E. degree in Electronic and Information
Engineering and Ph.D. degree in Underwater Acoustic
Engineering of Harbin Engineering University in 2005
and 2011 respectively. From 2011, he started his
work in Harbin Engineering University, with the
research interests including the acoustic field
calculation and analysis, the underwater acoustic
signal processing and underwater target detection
and classification in the very low frequency. During
Jan. 2016 and Jan. 2017, he worked as a Visiting
Scholar cooperating with Stan E. Dosso in University
of Victoria, Canada. Until now, he has won a first
and a second prizes for technology invention in his
research field, and published more than 20 papers in
The Journal of the Acoustical Society of America,
Applied Acoustics, IET Radar, Sonar & Navigation,
Acta Physics Sinica etc.
Assoc. Prof. Chenghu Cao
Xi'an University of Posts and Telecommunications, China
Bio: Chenghu Cao,
Associate professor. He has been graduated from
Xidian University and finally obtains a doctoral
degree. And he is working in Xi'an University of
Posts and Telecommunications now. The applicant has
previously engaged in research work on radar target
parameter estimation, radar weak target detection
and tracking, collaborative radar network detection,
and integrated sensing and communication. He has
presided over a key project of the Shaanxi
Provincial Department of Science and
Technology-Qinchuangyuan Industrial Innovation
Cluster Area "Four Chains" Integration Project, as
well as a youth project from the same department,
along with serving local special projects from the
Shaanxi Provincial Department of Education and
interdisciplinary projects at Xi'an University of
Posts and Telecommunications. As the first author,
he has published more 25 academic journal papers in
renowned domestic and international journals such as
IEEE Transactions on Aerospace and Electronic
Systems, IEEE Transactions on Vehicular Technology,
Signal Processing, and Digital Signal Processing.