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.