Invited Speakers
Prof.
Wei Fang
Nanjing University of Information Science & Technology,
China
Wei Fang is currently a Professor of Computer Science at the
NanJing University of Information Science &Technology in
China. He was a Visiting scholar of University of Florida,
USA. Dr. Fang is a Senior Member of China Computer Society,
a member of IEEE, a member of ACM, a member of Jiangsu
Artificial Intelligence Society, and is also a Science and
Technology Consulting Expert of Jiangsu Province, a member
of Artificial Intelligence Professional Committee of
Shanghai Meteorological Society. He is the founding Director
of Institute of Artificial Intelligence and Meteorological
Big Data. He organized several conferences. He is a guest
editor and editorial board member for several SCI journals.
Prof. Zhenbo Li
China Agricultural University, China
Zhenbo Li, professor, doctoral supervisor, vice dean of
College of Information and Electrical Engineering, China
Agricultural University. His main research direction is
computer vision and smart agriculture. He has presided over
8 national research projects such as National Natural
Science Foundation of China and National Key Research and
Development Program, 8 provincial and ministerial level
research projects. He has published more than 90 high-level
papers in academic journals and top academic
conferences(T-IP、ICCV、ECCV etc.) , obtained more than 40
national invention patents, more than 60 software
copyrights, and won 4 provincial and ministerial science and
technology awards.
Assoc.
Prof. Guangyu Gao
Beijing Institute of Technology, China
Guangyu Gao is an Associate Professor at the School of
Computer Science and Technology, and served as the Deputy
Director of the Institute of Data Science and Knowledge
Engineering, at the Beijing Institute of Technology. He is
also the secretary of the Secretariat of the China
Engineering Education Accreditation Association (CEEAA), and
the former Assistant Director of the Deputy Department of
the Economic and Information Commission of Shunyi District,
Beijing. He received his Ph.D. from the Beijing University
of Posts and Telecommunications (BUPT) in 2013, and spent
about one year at the National University of Singapore as a
Joint-Ph.D. student from 2012 to 2013. He was awarded the
IBM Visiting Scholarship in 2016, and the IBM Faculty Awards
in 2016, 2017, and 2019.
His current research interests include Computer Vision, Deep
Learning, and Multimedia Analysis. In recent years, he
published more than 30 high-level academic papers (such as
TPAMI, TCSVT, TMM, NeurIPS, CVPR, ACMMM, etc.) as well as a
series of national invention patents. As the Principal
Investigator, he is also undertaking 3 National Natural
Science Funds, 4 University-Industry Collaborative Education
Programs, and a number of School-Enterprise cooperation
projects (with IBM, Taobao, etc.). He has successively won
the Honorable Mention Award (second place) of the VisDrone
Competition in IEEE ICCV-2019 (CCF-A), and the Nominate
Video Award of the IEEE UIC-2015 Video Competition.
Assoc. Prof. Dong Liang
Nanjing University of Aeronautics and Astronautics, China
Prof. Dong Liang received the B.S. degree in
Telecommunication Engineering and the M.S. degree in
Circuits and Systems from Lanzhou University, China, in 2008
and 2011, respectively. In 2015, he received Ph.D. at the
research direction of System Information Science, the
Graduate School of Information Science and Technology ,
Hokkaido University, Japan. He is currently an associate
professor with the College of Computer Science and
Technology, Nanjing University of Aeronautics and
Astronautics. His research interests include model
communication in pattern recognition and intelligent
systems, optomechatronic and imaging systems. He was awarded
the Best Student Paper Award from International Symposium on
Optomechatronic Technology (ISOT) in 2013. He was awarded
the Excellence Research Award from Hokkaido University in
2013. He has published several research papers including in
Pattern Recognition, IEEE TIP/TNNLS/TGRS/TCSVT, and AAAI. He
is an Organizing Committee member of the 2021 China
Symposium on Machine Learning and Applications (MLA’21). He
is a Program Committee member of the China Conference of
Biometrics 2015-2022 (CCBR’15-22). He serves as a guest
editor of MDPI Sensors. He has served as a reviewer for
numerous international academic journals and conferences
such as IEEE TIP/TNNLS/TGRS/TCSVT/TITS/JSTARS, and
AAAI/IJCAI/ICML/ICPR/ICIP/ICASSP.
Assoc.
Prof. Bo Li
Nanchang Hangkong University, China
Bo Li received the Ph.D. degree in 2008 in computational
mathematics, Dalian University of Technology (DUT), Dalian,
China. Now he is the professor in the School of Mathematics
and Information Science of Nanchang Hangkong University. His
current research interests include the areas of image
processing and computer graphics. He has published more than
40 research papers in international journals (including IEEE
TIP, IEEE TVCG, IEEE TMM) and conferences.
Assoc. Prof. Hong Wu
University of Electronic Science and Technology of China, China
Dr. Hong Wu is an Associate Professor of Computer Science at
University of Electronic Science and Technology of China
(UESTC). He received his Ph.D. in pattern recognition and
intelligent system from the National Laboratory of Pattern
Recognition (NLPR) at the Institute of Automation (IA),
Chinese Academy of Sciences (CAS), in 2004, and got his B.S.
in Computer Science from the University of Science and
Technology of China (USTC) in 1993. In May 2004, he joined
NEC Labs China as an associate researcher undertaking
research on web mining. In May 2006, he joined the
University of Electronic Science and Technology of China
(UESTC) as an associate professor. His current research
interests are computer vision, pattern recognition and data
mining.
Assoc.
Prof. Xiaoli Zhang
Jilin University, China
Xiaoli Zhang is an associate professor in the Jilin
University, China, where he is leading the research in the
areas of multimodal image processing and deep learning in
computer vision applications. He has published more than 60
research papers in international journals (including IEEE
TIP, Bioinformatics, information sciences) and conferences.
He is a senior member of CCF, member of CSIG and IEEE.
Assoc. Prof. Jin Wang
Beijing University of Technology, China
Jin Wang is an Associate Professor with the Beijing Key
Laboratory of Multimedia and Intelligent Software
Technology, Faculty of Information Technology, Beijing
University of Technology. He is also a researcher from
Beijing Institute of Artificial Intelligence. He is an
IEEE/ACM/CCF Member. His research areas include digital
image processing, image/video coding, computer vision, and
artificial intelligence. He authored more than 30
publications in journals and conferences, such as IEEE TIP,
IEEE TMM, IEEE TCSVT, ACM MM, IEEE INFOCOM, IEEE DCC, and
IEEE ICME. He holds more than 6 national invention patents.
He has hosted more than 7 scientific research projects
supported by National Natural Science Foundation and Beijing
Municipal Natural Science Foundation, etc. He serves as a
session chair of ACM MM 2021, a Technical Program Committee
(TPC) member for ACM MM 2022, and a Program Committee (PC)
member for AAAI 2022.
Assoc. Prof. András Horváth
Peter Pazmany Catholic Universtiy, Hungary
András Horváth is an Associate Professor at the Faculty of
Information Technology and Bionics at Peter Pazmany Catholic
University. His research is mostly focused on computer
vision and artificial intelligence, especially on the
efficient implementation of modern machine learning
algorithms with emerging devices. He took part in the
DARPA-UPSIDE (Unconventional Processing of Signals for
Intelligent Data Exploitation) project between 2012 and 2018
in a consortium with Intel, MIT, which aimed the development
of an object recognition pipeline with oscillatory based
computing, implemented on emerging devices (e.g.:
spin-torque and resonant body oscillators) and was involved
in multiple international research grants sponsored by the
European Union and ONR.
He is author or co-author of more than 50 publications which
appeared in various international journals. He is an active
Reviewer for various peer reviewed journal papers. (e.g.:
IEEE Transaction on Signal Processing , IEEE Transactions on
Circuits and System, etc.). He is a member of the IEEE
Circuits and System and the IEEE Computational Intelligence
Societies and the secretary of the Cellular Nanoscale
Networks and Array Computing Technical Committee.
Assoc. Prof. Ruiheng Zhang
Beijing Institute of Technology, China
Ruiheng Zhang received the B.E. degree in 2014 from Beijing
Institute of Technology, China, and the Dual-Ph.D. degree
from University of Technology Sydney, Australia and Beijing
Institute of Technology, China. He is currently an Associate
Professor in Beijing Institute of Technology. He is the
author of more than 30 research papers and one book,
including Remote Sensing of Environment, IEEE TMM, ISPRS,
Pattern Recognition, ICLR, IJCAI and so on. He is involved
as a member of the Editorial Board of Frontiers in Robotics
and AI, Artificial Intelligence and Applications. He has
served as Co-Chair of IMASBD 2022, TPC of ICDIP 2022, VSIP
2022 and ICIVIS 2022. He is also a Reviewer for the ICLR,
ACM MM, IJCAI, DICTA, IEEE TMM, IEEE TGRS, IEEE JSTARS,
Pattern Recongition, Neurocomputing, Remote Sensing, Applied
Science, Sensors, Electronics. His current research
interests include deep learning, object understanding, and
multi-modal remote sensing.
Assoc. Prof. Jingjing Zhang
China University of Geosciences (Wuhan), China
Jingjing Zhang received his B.S. degree in 2007 from China
University of Geosciences, Wuhan, China. He obtained his
Ph.D. degree in 2014 from the University of Chinese Academy
of Sciences, China. From 2014 to now, he worked in the
School of Automation, China University of Geosciences,
Wuhan, China. He worked as a postdoctoral in the School of
Energy and Power Engineering, Huazhong University of Science
and Technology, from 2015 to 2017. He also worked as a
visiting scholar at KU Leuven, Belgium, from 2017 to 2018.
His research interests include augmented reality,
computational photography, and infrared small target
tracking.
Assoc. Prof. Ying Li
Nanjing Normal University, China
Ying Li is currently an Associate Professor in the School of
Computer and Electronic Information / School of Artificial
Intelligence, Nanjing Normal University (NNU). She received
her Ph.D. degree from Dalian University of Technology (DUT)
in 2019, advised by Prof. Xiangwei Kong. She was a visiting
scholar at University of Texas at San Antonio, supervised by
Prof. Qi Tian from Dec 2015 to Dec 2017. She worked as an
intern in the Computer Vision group at the Noah’s Ark Lab of
Huawei from Aug 2018 to May 2019. Her research interests are
computer vision and pattern recognition. She is an Associate
Editor (AE) of Pattern Recognition.
Assoc. Prof. M. Hassaballah
South Valley University, Egypt
M. Hassaballah received the B.Sc. degree in Mathematics in
1997, the M.Sc. degree in Computer Science in 2003 all from
South Valley University, Egypt and the Doctor of Engineering
(D.Eng.) in Computer Science from Ehime University, Japan in
2011. He was a visiting scholar with the Department of
Computer & Communication Science, Wakayama University, Japan
in 2013 and GREAH laboratory, Le Havre Normandie University,
France in 2019. He is currently Associate Professor of
Computer Science at the Department of Computer Science,
College of Computer Engineering and Sciences, Prince Sattam
Bin Abdulaziz University, AlKharj, Saudi Arabia. He also is
a full Professor of Computer Science at the Department of
Computer Science, Faculty of Computers and Information,
South Valley University, Egypt. He serves as a reviewer for
several Journals such as IEEE Transactions on Image
Processing, IEEE Transactions on Circuits and Systems for
Video Technology, IEEE Transactions on Industrial
Informatics, IEEE Transactions on Fuzzy Systems,
Neurocomputing, Pattern Recognition, Pattern Recognition
Letters, IET Image Processing, IET Computer Vision, IET
Biometrics, Journal of Real-Time Image Processing, The
Computer Journal, Journal of Electronic Imaging, and Optical
Engineering. He has published 5 books and over 65 research
papers in refereed international journals and conferences.
He is an Editorial Board member of Pattern Analysis and
Applications, Real-Time Image Processing, IET Image
Processing and Wireless Communications and Mobile Computing
Journals. His research interests include human-centered
artificial intelligence, machine learning, computer vision,
biometrics, image processing, feature extraction, object
detection/recognition, and data hiding.
Assoc. Prof. Dakshina Ranjan Kisku
National Institute of Technology Durgapur, India
Dakshina Ranjan Kisku is currently an Associate Professor in
the Department of Computer Science and Engineering at
National Institute of Technology Durgapur, India. He
received his BCSE, MCSE and Ph.D. (Engineering) degrees in
Computer Science and Engineering from Jadavpur University,
India. Dr. Kisku is an active researcher in the area of
biometrics, image processing, computer vision and machine
learning. He was a Researcher in the Computer Vision Lab at
the University of Sassari, Italy from March 2006 to March
2007. Prior to that, he was a Project Associate in
Biometrics and Computer Vision Lab at Indian Institute of
Technology Kanpur, India. He was a Postdoctoral Scientist in
the Signal Processing Laboratory at Bahcesehir University,
Turkey in 2012. Prior to joining NIT Durgapur, he was
working as a faculty member for several years at Asansol
Engineering College, India and Dr. B. C. Roy Engineering
College, India. Dr. Kisku has more than 120 scientific
publications to his credit published in refereed
conferences, journals and edited books. He has co-authored
and edited three books on biometrics and homeland security,
and one book on medical biometrics. He has filed two patents
in the area of Healthcare Informatics for publication. He is
a recipient of IEI Young Engineers Award, IEI Excellence
Award, Outstanding Scientist Award, Outstanding Reviewers
Awards, IEEE Travel Award, IAPR Endorsement Scholarship,
MIUR Research Fellowship, TUBITAK PDF Fellowship,
Visvesvaraya Fellowship and many other accolades. Dr. Kisku
is a Fellow of RSPH, UK and Senior Member of IEEE (USA). He
regularly serves as a member of technical committee for many
conferences and also reviewer for many refereed journals,
conferences and books.
Assoc. Prof. Chunzhi Li
Huzhou University, China
Chunzhi Li received the M.Sc. and Ph.D. degrees respectively
in the Department of Computer Science from Wuyi University,
Jiangmen, China and in the Department of Computer Science
and Technology, East China Normal University, Shanghai,
China, in 2007 and 2014. She is currently an associate
professor with the Department of School of Information
Engineering, Huzhou University, Huzhou City, Zhejiang
Province, China, also a visiting scholar with the College of
computer science and technology, Zhejiang University,
Zhejiang Province, China. She has been a visiting associate
professor in 2019-2020 with the Department of Electrical and
Electronic Engineering, the University of Hong Kong, Hong
Kong. Her main research area is Remote Sensing Image
Processing and has published more than 20 papers on “remote
sensing” in the excellent journals, such as IEEE
TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
Assoc. Prof. Yukinobu Miyamoto
Kobe Gakuin University, Japan
MIYAMOTO Yukinobu received the B.E., M.E. and Ph.D. degrees
in computer science from Kobe University. He had studied
artificial intelligence, especially machine learning,
pattern recognition and evolutionary computation. He is
currently an Associate Professor at Faculty of Business
Administration, Kobe Gakuin University. He is concurrently a
Professor at Division of Information Systems, Graduate
School of Information Technology, Kobe Institute of
Computing. He is also a Professional Engineer in Information
Engineering (P.E.), and a Certified Information Technology
Professional (CITP).
Assoc.
Prof. Indrarini Dyah Irawati
Telkom University, Indonesia
Indrarini Dyah Irawati, obtained B.E and M.E degree in
Electrical Engineering at Telkom University, Bandung,
Indonesia and doctoral degree in the School of Electrical
and Information Engineering, Institute of Technology
Bandung. She joined School of Applied Science, Telkom
University as an Instructor (2007-2013), Assistant Professor
(2014-2018), Associate Professor (2019-present).
Her main research interests are in the areas of compressive
sensing, watermarking, signal processing, computer network,
and IoT.
She is currently a member of the Association for Computing
Machinery (ACM), the International Association of Engineers
(IAENG), and IEEE. She has published more than 25 research
papers-mostly the top ranked journal Scopus Indexed by IEEE,
Springer, Elsevier, and 20 Conference papers-mostly the top
ranked international conference, 3 books, 1 book chapter, 15
Intellectual property rights, and 1 patent.