Invited Speakers
2022 7th International Conference on
Intelligent Information Technology (ICIIT 2022) aims to gather professors, researchers, scholars and industrial pioneers all
over the world. ICIIT is the premier forum for the presentation and exchange of
past experiences and new advances and research results in the field of
theoretical and industrial experience. The conference welcomes contributions
which promote the exchange of ideas and rational discourse between educators and
researchers all over the world. We aim to building an idea-trading platform for
the purpose of encouraging researcher participating in this event. ICIIT 2022 is welcome qualified persons to delivery a speech in the
related fields. If you are interested, please send a
brief CV with photo to the conference email box:
iciit@cbees.net.
Prof. Xingbo Wang
Foshan University, China
Dr. & Prof. Xingbo Wang got his Master and
Doctor’s degrees at National University of Defense Technology (NUDT) of China.
Since 1994, he had worked at NUDT on CAD/CAM/CNC technologies till 2010. Since
2010, he has been a professor in Foshan University with research interests in
intelligent manufacturing system and computer applications. Prof. Wang is now in
charge of Guangdong Engineering Center of Information Security for Intelligent
Manufacturing System, where a lot of cryptography problems have to be dealt with
the elementary number theory. He then set up a new method to study odd integers
by means of perfect full binary tree and derived out many new properties of the
odd integers, including genetic property that makes it easier to factorize an
odd integer. Now Prof. Wang is devoting himself to developing a fast algorithm
to integer factorization and intending to solve the hard problem of integer
factorization.
Speech Title: "Progress in Applying
Valuated Binary Tree to Factorize Big Integers"
Abstract: Finding new methods to solve
the hard problem of integer factorization has gone on for tens of
years in cryptography but better methods are still in need. Even in
the era of quantum computing, conventional approaches are necessary
as a part of science researches. The method derived from valuated
binary tree, which was raised in 2016, has revealed rigorous power
in studying odd integers. This paper overviews the method from its
origination to its achievements so as to make people know the method
well. Four characteristics of symmetric property, genetic property,
boundary property and connection property are introduced with their
main traits. Achievements are exhibited briefly in integer
factorization of both general purpose and special purpose. The paper
shows that, the new method might be rigorous and prosperous in the
future.
Assoc. Prof. Xiaolong Li
University of Electronic Science and
Technology of China,
China
Xiaolong Li was
born in Jiangxi, China. He received the B.S. and the Ph.D. degrees
from the University of Electronic Science and Technology of China
(UESTC), Chengdu, China, in 2011 and 2017, respectively. Since 2017,
he has been a Faculty at the School of Information and Communication
Engineering, UESTC. From 2018 to 2019, he was a Visiting Researcher
with the Department of Electrical and Computer Engineering, National
University of Singapore, Singapore. He is currently an Associate
Professor at UESTC. His research interests include radar moving
target detection, weak signal parameter estimation, and MIMO radar
signal processing and radar imaging, with an emphasis on coherent
integration technique for high speed maneuvering target detection.
He was the recipient of the Prize for Excellent Ph.D. degree
dissertation of the Chinese Institute of Electronics in 2017. In
2020, he was selected in the Young Talents Program of the China
Association for Science and Technology. He was the Section Chair of
the 2019 ICCAIS, 2020 IET International Radar Conference, and 2021
CIE International Conference on Radar. He is the Guest Editor of the
Journal of Radars and frequently a Reviewer of IEEE TSP, IEEE TGRS,
IEEE GRSL, SP, DSP, and many international conferences.
Speech Title: "Signal Integration
Processing Method for Radar High Speed Moving Target Detection"
Abstract: With the development of
science technology, more and more moving objects with high speed
appear in the radar detection filed. These moving targets are often
with fast flight velocity, long attack range and strong stealth
ability, which bring great challenges to modern radar signal
processing field. How to improve the radar detection ability for the
high-speed moving targets also attracts much attentions in the
recent years. It is well-known that the signal-to-noise ratio (SNR)
of radar returns and detection performance could be enhanced
significantly via long-time signal integration of different sampling
pulses. However, because of the target’s high velocity and
maneuverability, some issues, such as range migration and Doppler
spread, should be addressed within the l signal integration
processing. Otherwise, the integration performance of traditional
moving target detection (MTD) algorithm will be severely degraded.
In this presentation, we will analyze the problems of high-speed
target coherent integration processing and establish the
corresponding target echo signal model. At the same time, we will
introduce the research progress of our group in signal coherent
integration processing area.
