Prof. Xudong Jiang
Nanyang Technological University, Singapore
Prof. Xudong Jiang received the B.Sc. and M.Sc. degree from the University of Electronic Science and Technology of China, in 1983 and 1986, respectively, and received the Ph.D. degree from Helmut Schmidt University Hamburg, Germany in 1997, all in electrical and electronic engineering. From 1986 to 1993, he worked as Lecturer at the University of Electronic Science and Technology of China where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. He was a recipient of the German Konrad-Adenauer Foundation young scientist scholarship. From 1993 to 1997, he was with Helmut Schmidt University Hamburg, Germany as scientific assistant. From 1998 to 2004, He worked with the Institute for Infocomm Research, A*Star, Singapore, as Senior Research Fellow, Lead Scientist and appointed as the Head of Biometrics Laboratory where he developed a fingerprint verification algorithm that achieved the fastest and the second most accurate fingerprint verification in the International Fingerprint Verification Competition (FVC2000). He joined Nanyang Technological University, Singapore as a faculty member in 2004 and served as the Director of the Centre for Information Security from 2005 to 2011. Currently, Dr Jiang is a tenured Associate Professor in School of Electrical and Electronic Engineering, Nanyang Technological University. Dr Jiang has published over hundred research papers in international refereed journals and conferences, some of which are well cited on Web of Science. He is also an inventor of 7 patents (3 US patents), some of which were commercialized. Dr Jiang is a senior member of IEEE and has been serving as Editorial Board Member,Guest Editor and Reviewer of multiple international journals, and serving as Program Committee Chair, Keynote Speaker and Session Chair of multiple international conferences. His research interest includes pattern recognition, computer vision, machine learning, image analysis, signal/image processing, machine learning and biometrics.
Prof. Yulin Wang
Wuhan University, China
Prof. Yulin Wang is a full professor and PhD supervisor in International School of Software, Wuhan University, China. He got PhD degree in 2005 in Queen Mary, University of London, UK. Before that, he has worked in high-tech industry for more than ten years. He has involved many key projects, and hold 8 patents. He got his master and bachelor degree in 1990 and 1987 respectively from Xi-Dian University, and Huazhong University of Science and Technology(HUST), both in China. His research interests include digital rights management, digital watermarking, multimedia and network security, and signal processing. In recently 10 years, Prof. Wang has published as first author 3 books, 40 conference papers and 45 journal papers, including in IEEE Transactions and IEE proceedings and Elsevier Journals. Prof. Wang served as editor-in-chief for International Journal of Advances in Multimedia in 2010. He served as reviewer for many journals, including IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Elsevier Journal of Information Sciences. He served as reviewer for many research funds, including National High Technology Research and Development Program of China (‘863’ project). Prof. Wang was the external PhD adviser of Dublin City University, Ireland during 2008-2010. He was the keynote speakers in many international conferences. He bas been listed in Marcus ‘who’s who in the world’ since 2008.
Assoc. Prof. Yanhui Guo, University of Illinois at Springfield, USA
Yanhui Guo received his B. S. degree in Automatic Control from Zhengzhou University, China, M.S. degree in Pattern Recognition and Intelligence System from Harbin Institute of Technology, China, and a Ph.D. degree in the Department of Computer Science, Utah State University, USA. He was a research fellow in the Department of Radiology at the University of Michigan and an assistant professor at St. Thomas University. Dr. Guo is currently an associated professor in the Department of Computer Science at the University of Illinois at Springfield. Dr. Guo has published more than 100 journal papers and 30 conference papers, completed more than 10 grant-funded research projects, and worked as an associate editor of different international journals, reviewers for top journals and conferences. His research area includes computer vision, machine learning, big data analytics, and computer-aided detection/diagnosis.
Prof. Zhao Zhang, Hefei University of Technology, China
Zhao Zhang is a Full Professor at the School of Computer and Information, Hefei University of Technology, China. He received the PhD degree from the City University of Hong Kong in 2013. His research interests include Multimedia, Machine Learning and Computer Vision. He has authored/co-authored over 80 technical papers published at prestigious journals and conferences, including 37 IEEE/ACM Transactions regular papers, with Google Scholar citations over 3,100 times and H-index 33. I am servingrved as an Associate Editor (AE) of IEEE Transactions on Image Processing (IEEE TIP), Pattern Recognition (PR) and Neural Networks (NN); also served as a Managing Guest Editor (MGE) for Journal of Visual Communication and Image Representation (JVCI), Image and Vision Computing (IVC). Besides, he has been acting as a SPC member/Area Chair of ACM MM, AAAI, IJCAI, SDM and BMVC. He is now a Senior Member of the IEEE and CCF.
Assoc. Prof. Andras Horvath, Peter Pazmany Catholic Universtiy, Hungary
András Horváth is an Associate Professor at the Faculty of Information Technology and Bionics at Peter Pazmany 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, and 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. 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 all 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 100 scientific articles 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 2 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.
Dr. Lianly Rompis, Universitas Katolik De La Salle Manado, North Sulawesi, Indonesia
received her Bachelor degree of Electrical
Engineering in 1999 from Universitas Sam Ratulangi
Manado Indonesia and Master degree of Information
Technology Studies in 2011 from University of
Wollongong New South Wales Australia. She works as a
Senior Lecturer in Faculty of Engineering,
Electrical Engineering Study Program, Universitas
Katolik De La Salle Manado, North
Sulawesi-Indonesia. Currently she is also joining as
a staff in the Research and Community Service
Department of her university. Lianly is a senior
member of IEEE and has several experiences as a
reviewer and committee of local and national
conferences. Her research interests are digital
system and information technology services,
including image processing.
In this symposium, she will gladly share her experience related to image processing from her perspectives as a lecturer. In daily communication through social media, you will basically need good techniques and tools to capture images on computer‘s or other digital devices’ screen directly using a smartphone or digital camera. You will learn how to get a clear and smooth image instead of darker and distortion image.
Assoc. Prof Jian Dong, Tianjin University of Technology and Education, China
Jian Dong received his B.S. degree in mechanical and electrical engineering from Northeast Forestry University, China, M.S. degree in the Department of computer Science from Kitami Institute of Techonology, Japan, and a Ph.D degree in Medical Engineering from Kitami Institute of Techonology, Japan. He was a research fellow in the Department of Systematic Information at the University of Tsukuba, Japan. Dr. Dong is currently an associated professor in the Department of automation and electrical engineering, Tianjin University of Technology and Education. In 2019, he was selected into the talent plan of Tianjin distinguished professors (young scholars); In 2020, he was approved as the third level candidate of Tianjin 131 innovative talent training project. Dr. Dong’s research scope mainly include medical image processing (especially the area of reconstruction of medical CT image), medical device development, and pattern recognition. He published more than 30 papers in his research area and has been awarded scientific research awards several times.