Invited Speakers 特邀嘉宾
The invited speaker list is in attendance confirmation time order. | 特邀报告名单按确认参会的时间先后顺序排列。
Prof.
Boon-Chong Seet
Auckland University of Technology, New Zealand
Bio: Boon-Chong Seet received
his B.Eng, M.Eng, and Ph.D degrees from Nanyang
Technological University, Singapore, in 1999, 2001,
and 2005, respectively. Upon graduation, he joined
the Singapore-Massachusetts Institute of Technology
Alliance (SMA) Programme as a Research Fellow at the
National University of Singapore. Since 2007, he is
with the Auckland University of Technology, where he
is currently a full professor and heads the
Department of Electrical & Electronic Engineering
(EEE). He co-founded the IEEE Vehicular Technology
Society (VTS) New Zealand North (NZN) Chapter where
he had served as Vice-Chair and presently as Chair.
He is also honoured to be serving the wider VTS
communities around the world through the IEEE VTS
Distinguished Lecturers (DL) programme. His research
activities span the fields of info-communication
technologies (ICT), with a focus on sensing,
computing, and communication technologies for smart
systems. He is the author of over 190 publications
with a Scopus H-index of 29 and Google H-index of
36. He has supervised over 10 PhD students to
completion as primary supervisor.
Prof. Yunfei Chen
Durham University, UK
Bio: I received my
B.Eng. degree and M.Eng. degree from the Department
of Electronics Engineering at Shanghai Jiaotong
University, Shanghai, China, in 1998 and 2001,
respectively.
I received my Ph.D. degree from the Department of
Electrical and Computer Engineering at the
University of Alberta in 2006. I then worked as a
postdoctoral fellow in the iCORE Wireless
Communications Laboratory at the same department.
From 2007 to 2022, I worked as an Assistant
Professor, an Associate Professor and then a Reader
in the School of Engineering at the University of
Warwick. Currently, I am working as a Professor of
Signal Processing and Communications in the
Department of Engineering at the University of
Durham.
Prof. Lei Cheng
Zhejiang University, China
Bio: Lei Cheng is currently ZJU Young Professor with the
College of Information Science and Electronic
Engineering, Zhejiang University, Hangzhou, China.
He received the B.Eng. degree from Zhejiang
University in 2013, and the Ph.D. degree from The
University of Hong Kong in 2018. He was a Research
Scientist in Shenzhen Research Institute of Big
Data, The Chinese University of Hong Kong, Shenzhen,
from 2018 to 2021. He is the author of the book
“Bayesian Tensor Decomposition for Signal Processing
and Machine Learning”, Springer, 2023. He was a
Tutorial Speaker in IEEE ICASSP 2023, Invited
Speaker in ASA 2024 and IEEE COA 2014. He is now
Associate Editor for Elsevier Signal Processing
and Young Editor for Acta Acustica.
Prof. Wen-Qin Wang
University of Electronic Science and Technology of China, China
Bio: Wen-Qin Wang
(M’08–SM’16) received the B.E. degree in electrical
engineering from Shandong University, Shandong,
China, in 2002, and the M.E. and Ph.D. degrees in
information and communication engineering from the
University of Electronic Science and Technology of
China (UESTC), Chengdu, China, in 2005 and 2010,
respectively. From March 2005 to 2007, he was with
the National Key Laboratory of Microwave Imaging
Technology, Chinese Academy of Sciences, Beijing,
China. Since September 2007, he has been with the
School of Information and Communication Engineering,
UESTC, where he is currently a Professor and
Director. From June 2011 to May 2012, he was a
Visiting Scholar with Stevens Institute of
Technology, Hoboken, NJ, USA. From December 2012 to
December 2013, he was a Hong Kong Scholar with the
City University of Hong Kong, Hong Kong. From
January 2014 to January 2016, he was a Marie Curie
Fellow with the Imperial College London, U.K. His
research interests span the area of array signal
processing and circuit systems for radar,
communications, and microwave remote sensing.
Prof. Lixia Xiao
Huazhong University of Science and Technology, China
Bio: Lixia Xiao is
currently a Professor in the School of Cyber Science
and Engineering, Huazhong University of Science and
Technology, Wuhan, P. R. China. She received the
B.E., M.E., and Ph.D. degrees from the UESTC in
2010, 2013, and 2017, respectively. From 2016 to
2017, she was a visiting student with the School of
Electronics and Computer Science, University of
Southampton. From 2018 to 2020, she has been a
research fellow with the Department of Electrical
Electronic Engineering, University of Surrey. Her
research interests mainly focus on physical layer
transmission techniques, including waveform design,
multi-antenna technique design, multiple access
design etc. She has authored or co-authored more
than 100 technical papers. She is served as
associate editor of some technical journals in
communications, including IEEE Network, IEEE
Internet of Things Journal, Digital Communications
and Networks,China Communications, etc.
Prof. Shisheng Guo
University of Electronic Science and Technology of China, China
Bio: Shisheng Guo received the Ph.D. degree
in signal and information processing from the
University of Electronic Science and Technology of
China (UESTC), Chengdu, China, in 2019. He is
currently a Research Fellow with the School of
Information and Communication Engineering, UESTC.
His research interests include through-the-wall
radar, millimeter wave radar, and NLOS target
detection for radar. He is a Member of IEEE, a
Session Co-chair of ICAUS 2021, 2019 ICCAIS, PIERS
2024, ICAUS 2024, etc.
Prof.
Jun Liu,
Chengdu University of Information
Technology, China
Bio: Jun Liu received the Ph.D. degree in control science
and engineering from the University of Electronic
Science and Technology of China(UESTC), Chengdu,
China, in 2018. He is currently a Professor with the
School of Automation, Chengdu University of
Information Technology (CUIT), Chengdu, China. In
2014, he worked with the University of California at
San Diego (UCSD), San Diego, CA, USA, as a Visiting
Scholar. From 2020 to 2021, he worked with the Hong
Kong Polytechnic University (PolyU), Hong Kong SAR,
China, as a Postdoctoral Fellow. He has authored or
coauthored more than 60 articles in various journals
and conference proceedings, and has won several
provincial and ministerial awards. He has served as
the Sichuan chairman in China of the 5th, 6th and
7th Asian International Conference on Artificial
Intelligence Technology (2021-2023ACAIT), member of
the academic committee of the 7th IEEE International
Conference on Data Science and Systems (IEEE
DSS-2021), member of the technical procedure
committee and co-chairman of the organization
committee of the 14th, 15th and 16th International
Conference on Signal Processing Systems
(2022-2025ICSPS), member of the organization
committee of the 2nd International Conference on
Robotics, Artificial Intelligence and Intelligent
Control (2023RAIIC), member of the procedure
committee of the 30th International Conference on
Neural Information Processing (ICONIP2023), etc. He
has served as served as a special reviewer of IEEE
Transactions on Industrial Information, IEEE
Transactions on Neural Networks and Learning
Systems, IEEE Transactions on Cybernetics, ISA
Transactions, Neurocomputing, Journal of the
Franklin Institute, Journal of Engineering Science
(CJE), Journal of Intelligent Systems and other
journals, as well as editorial board members of some
journals. He has served as a commentator of
Mathematic Reviews in the United States. His
research interests include coordinated control of
multi-agent systems, machine learning, new computing
and its applications, artificial intelligence and
robots.
Assoc. Prof. Ke Xu
Shanghai Jiao Tong University, China
Bio: Ke Xu received the Ph.D. degree from
Shanghai Jiao Tong University in 2019. He is
currently an Associate Professor with the School of
Computer Science, Shanghai Jiao Tong University. His
research focuses on multimedia content understanding
and AI security, particularly in abnormal behavior
recognition, gait recognition, and adversarial
attack/defense technologies. Dr. Xu has led over 10
research projects, including the National Natural
Science Foundation of China (NSFC) General Program
and Youth Program. He has published 50 papers in
journals and conferences such as IEEE TIFS, TMM, and
TCSVT, and holds 14 authorized invention patents.
Dr. Xu is an IEEE Member, a Senior Member of CSIG
(China Society of Image and Graphics), and a
Technical Committee Member for Digital Media
Forensics and Security. He has served as the session
chair and TC Member of the ICSPS international
conference. He has authored a book titled
"Principles and Application Practice of Digital
Media Forensics", and taught graduate courses such
as "Multimedia Content Security".
Assoc. Prof. Guobing Qian
Southwest University, China
Bio: Guobing Qian is a Senior Member of both the IEEE and
the Chinese Institute of Electronics. He received
the Ph.D. degree in signal and information
processing from the University of Electronic Science
and Technology of China in December, 2015.
Currently, he serves as an Associate Professor at
the College of Electronic and Information
Engineering, Southwest University. His primary
research interests encompass adaptive filtering and
adaptive signal processing.
He has been invited to serve as a Guest Editor for
special issues in SCI-indexed journals, including
Electronics and Symmetry. Since 2022, he has
consecutively served as the Co-Chair of the Program
Committee for the International Conference on
Digital Signal Processing (ICDSP) from its 6th to
9th sessions. Furthermore, he has been appointed as
the Co-Chair of Publications for the 6th
International Conference on Electronic Engineering
and Informatics (EEI) in 2024.
Assoc. Prof. Fang Yang
Wuhan University of Science and Technology, China
Bio: Dr. Fang Yang is an associate professor at Wuhan
University of Science and Technology and a recipient
of the Hubei Province "Chutian Young Scholar" title,
with primary research interests in multi-modal
remote sensing image fusion and geodesic methods.
Her work focuses on advancing techniques for
denoising, image registration, and change detection,
aiming to improve the analysis and interpretation of
remote sensing data. Dr. Yang is the principal
investigator of a National Natural Science
Foundation Youth Project and has been involved in
several other National Natural Science Foundation
projects. With over 30 publications in international
journals and conferences, her research contributes
to the development of innovative methodologies for
remote sensing applications. Through her work, she
seeks to integrate cutting-edge mathematical models
and computational methods to address key challenges
in image processing.
Assoc. Prof. Weixia Zhang
Shanghai Jiao Tong University, China
Bio: Weixia Zhang is an Associate Research
Scientist at the Artificial Intelligence Institute
of Shanghai Jiao Tong University. He received his
Ph.D. from Wuhan University in 2018. From 2018 to
2022, he conducted postdoctoral research at Shanghai
Jiao Tong University, and from 2022 to 2023, he
served as an Assistant Researcher at the same
institution. His current research interests include
image/video quality assessment, perceptual
optimization, and computational photography. He has
published over 30 academic papers in top-tier
international journals and conferences such as
TPAMI, TIP, CVPR, and NeurIPS. He has been supported
by both the Young Scientists Fund and General
Program of the National Natural Science Foundation
of China.
Assoc. Prof. Zipeng Li
Northwestern Polytechnical University, China
Bio: Zipeng Li is an Associate Professor and Master’s
Supervisor at the School of Marine Science and
Technology, Northwestern Polytechnical University
(NPU). He holds a Ph.D. degree and has been engaged
in long-term research on signal processing theory
and underwater acoustic signal processing
technologies. His work focuses on strong-noise
non-stationary signal processing, weak signal
feature extraction, and deep learning-based
underwater target classification.
Li began his academic journey in 2010 at Xi’an
Jiaotong University (XJTU), where he studied in the
School of Mechanical Engineering. He graduated with
a double bachelor’s degree in 2014 and was directly
admitted to a Ph.D. program. From 2017 to 2019, he
conducted joint Ph.D. training at the University of
Toronto, Canada, under the supervision of Prof.
Viliam Makis, a renowned expert in operations
research and signal processing. He obtained his
Ph.D. in Mechanical Engineering from XJTU in 2020.
His primary research directions include:
•Signal processing theories and innovative methodologies
•Active/passive sonar underwater detection
•Underwater acoustic target classification and recognition
Research interests encompass:
•Novel adaptive signal processing methods applied to
acoustic/vibration signals
•Extraction of extremely weak features from high-noise
non-stationary signals
•Deep learning-driven underwater target classification techniques
Assoc. Prof. Xiaoying Song
Wuhan University of Science and Technology, China
Bio: Xiaoying Song received the B.S. degree in electronic
science and technology and the Ph.D. degree in
microelectronics and solid-state electronics from
Wuhan University, Wuhan, China, in 2012 and 2017,
respectively. Since July 2017, she has joined the
School of Information Science and Engineering at
Wuhan University of Science and Technology, Wuhan,
where she was recognized as a Chutian Scholar of
Hubei Province. Her research interests include graph
signal processing, graph learning, and their
applications in brain network analysis，as well as
QSAR/QSPR model learning of compounds.
Assoc. Prof. Guchong Li
Northwestern Polytechnical University, China
Bio: Guchong Li received the B.S. degree in electrical
engineering and Ph.D degree in information and
communication engineering from the University of
Electronic Science and Technology of China (UESTC),
Chengdu, China, in 2016 and 2021, respectively. From
October 2018 to October 2020, he was a Visiting
Student at the University of Florence, Italy. From
July 2021 to July 2023, he was a Postdoctoral Fellow
with the Department of Electronic Engineering,
Tsinghua University, Beijing, China. He is currently
an Associate Professor with Northwestern
Polytechnical University. His current research
interests include random finite set, target
tracking, and multi-sensor data fusion.
Assoc. Prof. Hui Tang
Wuhan University of Science and Technology, China
Bio: Hui Tang received the B.E. degree in electrical and
electronic engineering and the Ph.D. degree in radio
physics from Wuhan University, China, in 2011 and
2016, respectively. She was a visiting Ph.D. student
at Arizona State University, USA, from September
2014 to August 2016. She is currently an Associate
Professor at Wuhan University of Science and
Technology. Her research interests include machine
learning, graph neural networks, and radar signal
processing.
Assoc. Prof. Wei
Wang
National University of Defense Technology, China
Bio: Wang Wei received the M.S. degree in information and
communication engineering from National University
of Defense Technology, China, and the Ph.D. degree
in geoinformatics from KTH Royal Institute of
Technology, Sweden, in 2013, and 2018, respectively.
He is currently an associate professor with
Automatic Target Recognition (ATR) National Key
Laboratory, National University of Defense
Technology. His research interests include
SAR/PolSAR image processing, automation target
recognition, target characteristics and data
engineering. He has published more than 60 journal
and conference articles, and obtained two
provincial-level scientific research awards. He was
recognized as Young Talent of Hunan Province in
2023. He is an editorial board member of Aero
Weaponry, and acts as a guest editor of Electronics.
He is also a reviewer of high-level international
journals, such as IEEE Transactions on Geoscience
and Remote Sensing, IEEE Transactions on Intelligent
Transportation Systems, and Pattern Recognition.
Assoc. Prof. Xiaosi Tan
Southeast University, China
Assoc. Prof. Lingzhi Zhu
Nanjing University of Aeronautics and Astronautics, China
Bio: Lingzhi Zhu, received his bachelor's degree in electronic information engineering and doctoral degree in information and communication engineering from Nanjing University of Science and Technology in June 2016 and June 2021, respectively. From July 2021 to February 2024, he engaged in scientific research at the postdoctoral mobile station of electronic science and technology of Nanjing University of Science and Technology. In February 2024, he joined the School of Electronic Information Engineering and the Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education of Nanjing University of Aeronautics and Astronautics and became an associate professor and a master's supervisor. His is also the member of the National Key Laboratory of Microwave Photonics Technology. His main research directions include short-range high-speed target detection, micro-Doppler effect of radar targets, human activity and life monitoring, electronic countermeasures, sonar imaging, etc. During past five years, he has presided over 10 national and provincial and ministerial projects including National Natural Science Foundation of China, National Natural Science Foundation of Jiangsu Province and etc. He was named an Outstanding Postdoctoral Fellow in Jiangsu Province in 2022 and has published nearly 40 SCI-indexed papers on IEEE TGRS, TAES, TIM, TRS, IOT, etc. Besides, he has applied for 13 national invention patents and published 1 academic monograph.
Assoc. Prof. Xu Chen
Harbin Engineering University, China
Bio: Xu Chen received the M.S. degree from Northeastern University (NEU), Shenyang, China, in 2020 and the Ph.D. degree from National University of Defense Technology (NUDT), Changsha, China, in 2024. He is currently an Associate Professor at College of Information and Communication Engineering, Harbin Engineering University (HEU), Harbin, China. His research interests include millimeter-wave radar imaging, MIMO array signal processing, and radar electronic countermeasure technology. As a key team member, he has participated in multiple projects, such as the National Key R&D Program, the National Natural Science Foundation, and the National Defense Technology Plan. To date, he has authored over ten SCI-indexed journal papers (one of which ranks in the top 1% of ESI highly cited papers for 2023). He is a long-term reviewer for high-level SCI journals such as IEEE Transactions on Instrumentation and Measurement (TIM), IEEE Transactions on Computational Imaging (TCI), IEEE Transactions on Microwave Theory and Techniques (TMTT). In 2025, he received the Outstanding Reviewer Award from IEEE TIM, a top journal in the field of instrumentation and measurement.
Assoc. Prof. Wen Mi
University of Electronic Science and Technology of China, China
Bio: Wen Mi, Associate Professor at the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC). In July 2006, he graduated from the National Base Class for Mathematics Talent Training at the School of Mathematics, Sichuan University, earning a Bachelor of Science degree. From 2006 to 2012, he studied under the supervision of Professor Tao Qian at the University of Macau, pursuing his Master's and Ph.D. degrees, with a focus on complex analysis, harmonic analysis, and their applications. After obtaining his Ph.D. in 2012, he joined the School of Mathematical Sciences at UESTC, where he has been working ever since. From August 2016 to August 2017, he visited Professor Weixiang Zheng at Western Sydney University, Australia, as a visiting scholar for one year.
His primary research interests include complex approximation theory, system identification, model order reduction, control theory, and signal processing. To date, he has published over 30 papers in renowned journals such as Automatica, IEEE Transactions on Automatic Control, Systems & Control Letters, IET Control Theory And Applications, Nonlinear Dynamics, and Asian Journal of Control.
Assoc. Prof. Yongjun Zhang
Guizhou University, China
Bio: Zhang Yongjun (IEEE Member), PhD, Master's Supervisor/Associate Professor, Visiting Scholar at Cardiff University, UK, Executive Dean of the Artificial Intelligence Research Institute of Guizhou University, Director of Guizhou Provincial Remote Sensing Big Data Innovation Center. Council Member of the National Computer Education Research Association of Institutions of Higher Learning, Level 2 Innovation Method Instructor in Guizhou Province, Member of the Chinese Association of Artificial Intelligence, Member of the Expert Consultation Committee of the China Security Protection Industry Association, He has published over 50 research papers in computer vision at top computer conferences/journals such as CVPR, ACCV, and IEEE Transactions, and has applied for 15 invention patents. His research focuses on intelligent video analysis and image processing, including binocular stereo matching, object detection and recognition, image enhancement, remote sensing image processing, and engineering applications,etc.
Assoc. Prof. Hua ChenNingbo University, China
Bio: Hua Chen received the M.Eng. degree and Ph.D. degree in Information and Communication Engineering from Tianjin University, Tianjin, China, in 2013 and 2017, respectively. From Apr. 2025, he is a one-year visiting scholar at the Department of Electrical and Electronics Engineering, Nanyang Technological University, Singapore. He is now as an Associate Professor in Faculty of Electrical Engineering and Computer Science, Ningbo University, China. His research interests include array signal processing, MIMO radar and RIS-aided Localization. He is currently an Associate Editor for IEEE Signal Processing Letters and Circuits, Systems, and Signal Processing.
Assoc. Prof.
Weijian Liu
Wuhan Electronic Information Institute, China
Bio: Liu Weijian is an associate professor at
the Wuhan Electronic Information Institute. He has
been engaged in research related to radar target
detection for a long time. He has published more
than 100 SCI papers as the first author and
corresponding author. Among them, there are 2 ESI
hot papers and 2 ESI highly cited papers. He has
also published 2 monographs. He has been in charge
of 3 projects funded by the National Natural Science
Foundation of China, as well as several provincial
and ministerial-level projects. He serves as an
editorial board member or associate editor of
several journals such as IEEE Trans. Aerosp.
Electron. Syst., Signal Process., and Digit. Signal
Process.. He has won 4 provincial-ministerial-level
science and technology awards and has been listed in
the top 2% of the world's top scientists for five
consecutive years.
Assoc. Prof. Chaoqun Yang
Southeast University, China
Bio: Chaoqun Yang is currently an associate professor with Southeast University. He received the B.s. degree in marine technology
from Xiamen University, Xiamen, China, in 2014 and the Ph.D. degree in information science and electronic engineering from Zhejiang University,
Hangzhou, China, in 2019. His research interest concentrates on the field of multi-target tracking, radar signal processing, cyber security, and
information fusion. He has published more than 50 related papers in the above fields. He was the session chair of Fusion 2025, IEEE/CIC ICCC2024,
ICAUS2024 and ICSPS 2024. He received the best paper award of Chinese Conference on Information Fusion 2025 and ICAUS2024.
Assoc. Prof. Yue Zhao
Xidian University, China
Bio: Dr. Yue Zhao obtained his Ph.D. from the School of Telecommunications Engineering, Xidian University, Xi'an, China in 2020. He is now an associate professor at
Xidian University. From 2018 to 2019, he was a visiting scholar at the University of Waterloo’s Broadband Communications Research Group.
His research interests cover wireless network localization and signal processing for communications. Dr. Zhao has served as the session chair of the
Young Scientist Forum of UCOM 2024 and as a TPC member for IEEE INFOCOM, GLOBECOM, VTC, etc. He has won the Best Paper Award in the China Communications Journal and
over five Best Paper Awards at international conferences.
Assoc. Prof. Huizhang Yang
Nanjing University of Science and Technology, China
Bio: Huizhang Yang is an associate professor at Nanjing University of Science and Technology. His research interests include radar imaging theory and methodologies, interference suppression techniques, radar interferometry, target detection algorithms, radiation source localization, and polarization radar systems. Over the past five years, he has published 28 peer-reviewed papers, including 11 first-author articles in top IEEE Transactions journals. He has hosted or participated in more than 10 research projects funded by the National Natural Science Foundation of China (NSFC), Equipment Development Department, and 173 projects. His representative contributions include: proposing the concept and methods of image-domain interference suppression for synthetic aperture radar (SAR), developing foundational algorithms such as DRPCA, 2D-SPECAN, BSF, and Robust BSF; establishing the Lambda-1 detector which enables adaptive interference detection in eigenvalue domains; developing innovative SAR operational modes for ground emitter source localization. Some of his works have been adopted in the data processing systems and pre-research projects by several international and Chinese institutions. His work on the Lambda-1 detector received the 2024 IEEE ICSIDP Best Paper Award. His research has received publication funding from the "14th Five-Year Plan" National Key Publishing Project and the 2024 National Publishing Fund. He currently serves as a guest editor for the Journal of Radars and an associated editor for Modern Radar.
University of Surrey, UK
Bio: Dr. Kouchaki is senior lecture at University of Surrey and Honorary Senior Lecturer at Imperial College London. She currently leading research and teaching at the University of Surrey’s Centre for Vision, Speech and Signal Processing (CVSSP), in collaboration with the UK Dementia Research Institute. She has extensive expertise in developing digital biomarkers and applied machine learning to analyse real healthcare data. She has a track record of creating novel machine learning models for various healthcare applications, including compact language models and representation learning for Electronic Healthcare Records, and transformer-based and representation learning for in-home data. Previously, she was a postdoctoral researcher at the University of Oxford’s Institute of Biomedical Engineering, where they served as senior ML researcher for the Gates Foundation- and Wellcome Trust-funded 100,000 Genomes Project for Tuberculosis, predicting antibiotic resistance in pathogens. Earlier, at the University of Manchester, they contributed to the EU Horizon 2020 Virogenesis project, applying signal/image processing and unsupervised learning to DNA sequencing. They hold a PhD in Computer Science from Surrey (2015), developing multi-way source separation techniques for biomedical signals. Their interdisciplinary work bridges AI, genomics, and clinical translation.
Assoc. Prof. Lisha Zhong Southwest Medical University, China
Bio: Dr. Lisha Zhong is an Associate Professor at the College of Medical Information and Engineering, Southwest Medical University, China. She received her B.S. and M.S. degrees in Biomedical Engineering from Chongqing University, Chongqing, China, in 2008 and 2011, respectively, and earned her Ph.D. degree in Communication and Information Engineering from the Chongqing University of Posts and Telecommunications in 2023.
Dr. Zhong has long been engaged in teaching and research in Biomedical Engineering, with research interests spanning biomedical signal processing, brain science and epilepsy, medical image processing, and knowledge graphs. She has led 3 provincial and ministerial-level research projects and 6 department-level projects, and participated in more than 10 national and provincial projects. Over the past five years, she has published over 30 academic papers, including 10 SCI-indexed articles as first or corresponding author. She holds 3 authorized invention patents and 2 software copyrights, and her work has been recognized with the Third Prize of the Science and Technology Progress Award by the Chinese Association of Medical Education.
Dr. Zhong is also committed to integrating artificial intelligence into education. As the course leader, she developed the nation’s first knowledge-graph-based AI-enabled Medical Image Processing course, which has been recognized as a High-Level Course in Sichuan Province.
Assoc. Prof. Yang Zeng National University of Defense Technology, China
Bio: Dr. Yang Zeng received his B.S. degree in 2011 from National University of Defense Technology (NUDT), China and Ph.D. degree in 2017 from Queen Mary University of London, UK. He is currently an Associate Professor with School of Electronic Science and Engineering, NUDT. His research interests include THz time-domain spectroscopy systems, quasi-optic measurements, terahertz radar systems and signal processing. He has been P.I. and C.I. of over 10 research projects funded by National Natural Science Foundation of China, National High-tech R&D Program of China, National Program on Key Basic Research Project, etc. His research activity is documented in over 30 published papers. He was awarded the first prize of Military Science and Technology Progress Award and the second prize of Electronic Science and Technology Progress Award by the China Electronics Society.
Assoc. Prof. Chang Liu Dongguan University of Technology, China
Bio: Chang Liu, D.Eng, Associate Professor, he received the Ph. D. degree in the School of Electronic Engineering, UESTC, Chengdu, P. R. China in 2012. From 2012 to 2014, he was with Huawei Technologies Company Ltd., Chengdu, China, as a radio frequency algorithm engineer, working on the anti-interference technologies at intermediate and radio frequencies. Since 2014, He has been with School of Electronic Engineering, Dongguan University of Technology, Dongguan, China, where he became an Associate Professor in 2019. His current research interests include adaptive signal processing, array signal processing and interference cancellation in the fields of audio and radio frequency.
Asst.
Prof. Ran DuanThe Hong Kong Polytechnic University, Hong Kong, China
Bio: Ran Duan received a B.S. degree in Communication Engineering from the School of Information Engineering, Southwest University of Science and Technology in 2013 and a Master's degree in Computer Vision and Robotics from the University of Burgundy, France (European VIBOT program) in 2015. From 2015 to 2017, he worked as a research associate at Nanyang Technological University (NTU), Singapore. In 2022, he earned his Ph.D. degree from the Department of Aeronautical and Aviation Engineering (AAE) at the Hong Kong Polytechnic University. He is currently a Research Assistant Professor in the Department of Land Surveying and Geo-Informatics at the Hong Kong Polytechnic University. His recent research interests mainly include visual positioning and navigation of unmanned aerial vehicles (UAVs), visual odometry, VSLAM, target Technical Symposiaing, etc. He has authored several top conference and journal papers in the field of intelligent robots and smart vision, including IROS, ICRA, EAAI, IEEE TMECH, IEEE TIM, IEEE JSTARS etc. He has supported or participated in a number of scientific research projects funded by the Dijon Agricultural Sciences Institute in France, Strasbourg University Hospital in France, Singapore Technologies Engineering Limited, and other institutions. Dr. Duan has long served as a reviewer for the conferences IROS and ICRA in the field of intelligent robots. He won the third place in the autonomous drone racing competition at the 2019 IROS conference and became one of the committee members of the Remote Sensing Surveying and Mapping for Deep Space Exploration, Chinese Society for Geodesy Photogrammetry and Cartography in 2022.
Asst. Prof Yang YangShanghai Jiao Tong University, China
Bio: Yang Yang is an Assistant Research Fellow at the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University. Her primary research focuses on underwater target detection and identification, including reverberation interference suppression for bottom and buried targets, characteristic testing, feature extraction, and recognition of small underwater targets, as well as target feature parameter estimation in channel-coupled environments. She also explores AI-based prediction of underwater targets' physical properties. Dr. Yang has led or participated in multiple research projects, such as the National Natural Science Foundation Key Program and Youth Program, China Postdoctoral Science Foundation, HaiChuang Fund, and projects supported by the State Key Laboratory of Acoustics. Additionally, she has undertaken several defense-related research initiatives and collaborative projects with shipbuilding research institutes. Her work has resulted in dozens of publications in leading domestic and international journals.
Lecturer Zuo LuoChang’an University, China
Bio: Dr. Zuo Luo is currently a Lecturer at Chang’an University. He received his Ph.D. in Signal and Information Processing from Xidian University in 2022, under the supervision of Prof. Jun Wang. His research focuses on BeiDou and internet satellite signal analysis, passive radar system design, and weak target detection. In 2023, Dr. Luo joined Xidian University as a Postdoctoral Researcher, working with Prof. Congsi Wang.
He has actively participated in several national-level research projects, including the National Natural Science Foundation of China (NSFC) - Youth Program and the Guangdong Natural Science Foundation - General Program (2025). As a prolific researcher, Dr. Luo has published over 10 first-author/corresponding-author papers in prestigious international journals such as IEEE TAES, IEEE TGRS, DSP, and IET RSN.