Prof. Minqing Wang
Northwestern Polytechnical University, China
Biography: In July 1989, Prof. Minqing Zhang, was recommended to study and work in Northwestern Polytechnical University. He was selected into the New Century Talent Program of the Ministry of Education. He is a member of the Provincial Metrology and Inspection and Testing Professional Committee, etc. He is also an editorial board member of IJAS, etc. He has won honors such as "Third National 100 Excellent Doctoral Dissertation", "New Century Outstanding Talents of the Ministry of Education", "Baosteel Education Fund Award", "Shaanxi Youth Science and Technology Award", and 3 provincial and ministerial science and technology progress awards. He has presided over and undertaken more than 50 scientific research projects such as national funds, special funds of the Ministry of Education, and civil aircraft pre-research. He has published "New MS-DOS Practical Technology Encyclopedia", "Basic Noise and Vibration Control Technology" and "Theory and Methods of Dynamic Mechanical Parameter Measurement of Materials in Extreme Environments", etc., and has been authorized with more than 30 invention patents. He has trained more than 60 doctoral and master students. His main research directions: intelligent robots and key technologies, acoustic information analysis and control, automated testing and control, earthquake rapid warning and prediction technology, acoustic system engineering theory and application.
Prof. Liang Yu
Northwestern Polytechnical University, China
Biography:
Prof. Liang Yu has published nearly 200 papers in the field of "Acoustic Perception and Intelligent Information Processing of Mechanical Equipment", including more than 70 papers as the first/corresponding author in international authoritative SCI journals such as MSSP, JSV, and TIM. He has won 2 provincial and ministerial awards (the first prize of Shanghai Science and Technology Invention, the second prize of China Machinery Industry Science and Technology Award for Scientific and Technological Progress), 3 awards from the college and department, 7 conference outstanding paper awards, 1 outstanding reviewer award, and edited and published 2 special issue collections. He is committed to promoting the research direction of "Acoustic Perception and Intelligent Information Processing of Mechanical Equipment", developing advanced acoustic measurement, fault diagnosis and intelligent signal processing methods for mechanical equipment, and forming a series of representative theories and methods. The research areas mainly involve: 1. Vibration and acoustics of aviation mechanical equipment; 2. Material testing and diagnosis technology under multi-field coupling service conditions; 3. Mechanical equipment fault diagnosis: multi-physics field measurement, digital twin; 4. Advanced instruments and testing technology; 5. Artificial intelligence and signal processing.
Assoc. Prof. Pan Gao
Shanghai Maritime University, China
Biography:
Dr. Gao Pan is an Associate Professor in Ocean Engineering at Shanghai Maritime University and the vice director of Research Center of Ocean Engineering and Technology. His work includes the structural analysis of offshore pipelines and cables, and the interaction between offshore structures and soil. Past research projects have included predictions of the mechanical behavior of bonded offshore hose, responses of risers to internal solitary wave, anchor-soil-pipeline interaction, the punch-through potential of jack-up spudcans in stiff-over-soft soils, and jetting effects on the spudcan extraction. He has been in charge of one NSFC program, one national key laboratory open program and more than 10 other projects. He also participated in 3 National programs and several other projects. He is the reviewer of several international journals including Ocean Engineering, Ships and Offshore Structures and Journal of Marine Science and Engineering.
Prof. Haiqiang Niu
The Institute of Acoustics of the Chinese Academy of Sciences, China
Biography:
Dr. Haiqlang Niu is now a full Professor at the State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences. He serves as an associate editor for the Journal of the Acoustical Society of America (JASA) and as a guest editor for the Journal of Marine Science and Engineering (JMSE). He is also a member of the Young Scientist Committee for several journals, including Chinese Physics Letters, Chinese Physics B, Acta Physica Sinica, Physics, and Acta Acustica. Additionally, he is a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences. He received his Bachelor’s degree from Ocean University of China in 2009 and Ph.D. degree in Acoustics from the Institute of Acoustics, Chinese Academy of Sciences in 2014. From 2015 to 2017, he was a postdoctoral researcher at the Scripps Institution of Oceanography, University of California San Diego. He was an associate professor in 2018 and then a full professor in 2021. His research interests include machine learning in ocean acoustics, sparse Bayesian learning in acoustical signal processing, geoacoustic inversion, and ocean acoustical tomography. Dr. Niu has authored over 70 research papers including 16 peer-reviewed JASA papers. One of his papers on machine learning has garnered over 200 citations. He was invited to give presentations at the annual meetings of the Acoustical Society of America four times.
Assoc.Prof. Xiaolei Li
The Ocean University of China, China
Biography:
Dr. Xiaolei Li is currently an associate professor and master's supervisor of Ocean Technology College of Ocean University of China, an outstanding young scientist of Shandong Acoustical Society, and a director of Shandong Acoustical Society. He received his Bachelor of Science degree from Ocean University of China in 2013 and his Doctor of Science degree from Ocean University of China in 2019. In 2019, he joined Ocean University of China to engage in Marine acoustics research. The current research direction is environmental adaptive detection, mainly focusing on the passive detection of underwater targets, and is committed to combining deep learning methods and physics knowledge to solve passive detection problems in complex Marine environments. At present, he has published more than 40 academic papers, including 13 papers as the first author and corresponding author in JASA, IEEE Transitions on Signal Processing, Ocean Engineering and other international authoritative journals. He was invited to give conference reports and special invited reports at the Underwater Acoustics Branch of the Acoustical Society of China, the National Acoustics Conference, and the International Conference on Information Processing of Marine Science and Technology (ICIPOST) for many times. He has won the Excellent Paper Award of the Acoustical Society of China Youth Forum and the Best paper Award of ICIPOST.