Assoc. Prof. Kezhi Mao
Nanyang Technological University, Singapore
Mao Kezhi obtained his BEng, MEng and PhD from Jinan
University, Northeastern University, and University of
Sheffield in 1989, 1992 and 1998 respectively. He is now an
Associate Professor at School of Electrical and Electronic
Engineering, Nanyang Technological University, Singapore.
His research covers a couple of subfields of artificial
intelligence (AI), including machine learning, computer
vision, natural language processing, and information fusion.
Over the past 25 years, he has developed novel algorithms
and frameworks to address various issues in the field of
artificial intelligence. He has published over hundred
research papers on top journals and conferences, which have
received 10000+ citations (Google Scholar).
As a strong advocate of translational research, he has
collaborated with government agencies and hospitals and
developed a couple of prototypes of AI systems for image
processing and natural language processing. He served as
consultant for a number of companies such as Deloitte &
Touche, ST Engineering, Zhuyi Technologies, and Rakuten
Group etc, advising on R&D of AI and machine learning.
He now serves as Member of Editorial Board of Neural
Networks, Academic Editor of Computational Intelligence and
Neuroscience, and General Chair, General Co-Chair, Invited
Panelist, and Invited Speaker of a number of international
conferences.
Speech Title "Depth Estimation from Single Images:
Techniques, Challenges, and Applications"
Abstract: Depth estimation is a fundamental problem in
computer vision with numerous applications, including
robotics and navigation, augmented reality and medical
imaging etc. Traditionally, depth estimation relies on
stereo vision or depth sensors, which can be expensive or
impractical in many scenarios. Recent advances in deep
learning and computer vision have significantly improved the
accuracy and feasibility of monocular depth estimation. This
talk will provide a comprehensive overview of the latest
techniques, challenges, and applications of depth estimation
from single images. In addition, the current limitations and
future directions will be discussed.
Prof.
Zhichao Zhang
Nanjing University of Information Science and Technology,
China
Zhichao Zhang is with the School of Mathematics and
Statistics, Nanjing University of Information Science and
Technology, Nanjing, Jiangsu, China, where he is currently a
Full Professor and a Doctoral Supervisor. He has published
more than 60 journal articles in IEEE TRANSACTIONS ON
INFORMATION THEORY, IEEE TRANSACTIONS ON SIGNAL PROCESSING,
IEEE SIGNAL PROCESSING LETTERS, IEEE COMMUNICATIONS LETTERS,
Signal Processing, and Journal of Fourier Analysis and
Applications. His current research interests include
Mathematical Theories, Methods, and Applications in Signal
and Information Processing. He was the Director of China
Society for Computational Mathematics, the Managing Director
of Jiangsu Mathematical Society, the Vice President of the
Jiangsu Society for Computational Mathematics, the Director
of the Jiangsu Society for Industrial and Applied
Mathematics, the Deputy Director of the Center for Applied
Mathematics of Jiangsu Province, and the Executive Deputy
Director of the Jiangsu International Joint Laboratory on
System Modeling and Data Analysis. He served as the Youth
Editorial Board Member of Electronics and Signal Processing,
and the Conference Program Co-Chair, Area Chair, Technical
Committee Member and Session Chair for many international
conferences, such as the APSIPA ASC, ICICSP, ICSPS, ICOSP,
and SPML. He was listed among world’s top 2% scientists
recognized by Stanford University in 2021, 2022 and 2023.
Prof.
Xing-Peng Mao
Harbin Institute of Technology, China
XINGPENG MAO received the B.S. degree in radio electronics
from Northeast Normal University, China, in 1993, and the
M.S. and Ph.D. degrees in communication and information
system from the Harbin Institute of Technology (HIT), China,
in 1999 and 2004, respectively.
He is currently a Professor with HIT. His research interests
include array signal processing, communication and radar
system design, and the theory on advanced radar systems.
Assoc.
Prof. Xin He
Xin He received the Ph.D. degree in EEE from The University of Hong Kong, Hong Kong, in 2015. From 2015 to 2017, he was a Research Fellow with the Department of EEE, Nanyang Technological University, Singapore. From 2017 to 2018, he was a Research Assistant Professor with the Southern University of Science and Technology, Shenzhen, China. From 2019 to 2021, he was with Shenzhen University, Shenzhen, China. He is currently an Associate Professor with Shantou University, Shantou, China. His research interests include optimization and statistics for communication beamforming and radar waveform design.