ICSIP 2018 Keynote Speakers


Fellow of IEEE and IAPR, Prof. David Zhang, Chinese University of Hong Kong (Shenzhen), China

David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He is a Chair Professor since 2005 at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. Afterwards, he has moved to Chinese University of Hong Kong (Shenzhen), China. He also serves as Visiting Chair Professor in Tsinghua University, and Adjunct Professor in Peking University, Shanghai Jiao Tong University, HIT, and the University of Waterloo. He is Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Founder and and Series Editor, Springer International Series on Biometrics (KISB); Organizer, the 1st International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions and so on. So far, he has published over 10 monographs, 400 international journal papers and 35 patents from USA/Japan/HK/China. According to Google Scholar, his papers have got over 34,500 citations and H-index is 86. He was selected as a highly cited researcher in Engineering by Thomson Reuters in 2014 and in 2015, respectively. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.


Fellow of IEEE, Prof. Zhou Wang, University of Waterloo, Canada

Zhou Wang is a University Research Chair and Professor in the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research interests include image and video processing and coding; visual quality assessment and optimization; computational vision and pattern analysis; multimedia communications; and biomedical signal processing. He has more than 200 publications in these fields with over 40,000 citations (Google Scholar).

Dr. Wang is a Fellow of Canadian Academy of Engineering and a Fellow of IEEE. He is a recipient of 2017 Faculty of Engineering Research Excellence Award at University of Waterloo, 2016 IEEE Signal Processing Society Sustained Impact Paper Award, 2015 Primetime Engineering Emmy Award, 2014 NSERC E.W.R. Steacie Memorial Fellowship Award, 2013 IEEE Signal Processing Magazine Best Paper Award, and 2009 IEEE Signal Processing Society Best Paper Award. He serves as a Senior Area Editor of IEEE Transactions on Image Processing (2015-present), and an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (2016-present). Previously, he served as a member of IEEE Multimedia Signal Processing Technical Committee (2013-2015), an Associate Editor of IEEE Transactions on Image Processing (2009-2014), Pattern Recognition (2006-present) and IEEE Signal Processing Letters (2006-2010), and a Guest Editor of IEEE Journal of Selected Topics in Signal Processing (2013-2014 and 2007-2009).


Fellow of IEEE, Prof. Kot Chichung, Alex, Nanyang Technological University, Singapore

Prof. Kot has been with the Nanyang Technological University (NTU), Singapore since 1991. He headed the Division of Information Engineering at the School of Electrical and Electronic Engineering (EEE) for eight years. The Division¡¯s focuses are on signal processing for image, video, speech and audio. He was the Vice Dean Research and Associate Chair (Research) for the School of EEE for three years, overseeing the research activities for the School with over 200 faculty members. He is currently Professor and the Associate Dean (Graduate Studies) for the College of Engineering (COE) and Director of ROSE Lab [Rapid(Rich) Object SEearch Lab) with Peking University, Tencent and Inspur]. He has published extensively with over 200 technical papers in the areas of signal processing for communication, biometrics recognition, data-hiding, authentication and image forensics for digital media. He has two USA and one Singapore patents granted.

Dr. Kot served as Associate Editor for the IEEE Transactions on Signal Processing from 2000 to 2003, IEEE Transactions on Multimedia from 2008 to now, IEEE Transactions on Circuits and Systems for Video Technology from 2000 to 2005; IEEE Transactions on Circuits and Systems Part II from 2004 to 2006; IEEE Transactions on Circuits and Systems Part I from 2005 to 2007, IEEE Transactions on Image Processing, the Signal Processing Magazine, IEEE Signal Processing Letters, and the Senior Editorial Board of IEEE Journal of Special Topics in Signal Processing. He also served as Guest Editor for the Special Issues for the IEEE Transactions on CSVT and JASP. He was a member of the IEEE Transactions on Multimedia Steering Committee and a member of the IEEE SPS Image and Multi-dimensional DSP and IEEE SPS Information, Forensics and Security Technical Committees. Currently, he is in, the Editorial Board member for the EURASIP Journal of Advanced Signal Processing, and the IEEE Transactions on Information Forensics and Security.

He is a member of the IEEE CAS Visual Signal Processing and Communication Technical Committees. He has served the IEEE in various capacities such as the General Co-Chair for the 2004 IEEE International Conference on Image Processing (ICIP) and area/track chairs for several IEEE flagship conferences. He also served as the IEEE Signal Processing Society Distinguished Lecturer Program Coordinator and the Chapters Chair for IEEE Signal Processing Chapters worldwide. He received the Best Teacher of The Year Award at NTU, the Microsoft MSRA Award and as a co-author for the ICPR2008 Best Biometrics Student Paper Award in Florida, USA, the IWDW2010 Best Paper Award in Seoul, Korea and the ISCAS2010 Finalist for the Best Student Paper Award in Paris, France, the IEEE WIFS Best Student Paper Silver Award, the IEEE ICCT 2011 Best Paper Award and the ICECC 2012 Best Paper Award. He was elected as the IEEE CAS Distinguished Lecturer in 2005. He is now a Vice President in the Signal Processing Society, an IEEE Signal Processing Society Distinguished Lecturer, a Fellow of the Academy of Engineering, Singapore, a Fellow of IEEE and a Fellow of IES.


Prof. Jimmy Liu, Ningbo Institute of Industrial Technology, Chinese Academic of Science, China&Principle Scientist (Adj), Singapore National Eye Research Institute, Singapore

Speech Title: Ocular Imaging Research and AI

Abstract: In the talk, Jimmy will update the ocular imaging research work in the past years. He will share his AI-based image processing work on various ocular imaging modalities on the following 4 areas: ocular disease screening, robot assisted eye micro-surgery, ocular biometrics, as well as ocular medical informatics using genome study. He will introduce the current issues, technologies and approaches in this inter-disciplinary research area.

Biography: Prof. Jimmy Liu Jiang joined Chinese Academy of Sciencesin March 2016 through the China¡°Thousand Talent Program¡±. He graduated from the University of Science and Technology of China with a computer engineering bachelor degree, and obtained his Master and Ph.D degrees from the National University of Singapore majoring in Computer Science.Jimmy is currently holding the position of an Honorary Professor in Dundee University and is an adjunct principle research scientist in the Singapore National Eye Research Institute. Jimmy has served many years in IEEE EMBS (Engineering in Medicine and Biology Society) society, and was the 2014 chairman of the IEEE EMBS society of Singapore. 

Jimmy has spent 27 years in Singapore before 2016. Jimmy established the Intelligent Medical Imaging Program (iMED), which was once  the largest ocular imaging research team in the world, in A*STAR (Agency for Science, Technology and Research) Singapore.

Ever since joining the Chinese Academy of Sciences, he put in much time and effort helping to establish a new institute focusing on biomedical Engineering in Ningbo with support from government and Chinese Academy of Sciences.  In June 2016, he established an international joint lab ¡°Sino-US Eye-Brain joint research lab¡± with North Carolina University United States to conduct eye and brain diseases diagnosis research; in August 2016, he established a joint lab with Electronics University of China to conduct big medical image data analytics. In Feb 2017, he signed a MOU with Singapore Eye Research Institute to jointly conduct ocular imaging research, and in April 2017, he signed an agreement with Singapore National Health Group in Ningbo to jointly conduct medical technology research as well as explore translational and clinical research in China and Singapore. Recently, in May 2017, Jimmy established a new joint laboratory with world leading ophthalmological equipment manufacture TOPCON Inc. in China focusing on new areas such as advanced ocular medical equipment manufacturing and Artificial Intelligence based Chinese ¡°big¡± medical image and data research.


ICSIP 2018 Plenary Speaker


Prof. Akinori Ito, Tohoku University, Japan

Akinori Ito was born in Yamagata, Japan on 1963. He received B.E., M.E., and Ph.D. degrees from Tohoku University, Sendai, Japan, on 1986, 1988 and 1991, respectively. Since 1991, he has worked with Research Center for Information Sciences and Education Center for Information Processing, Tohoku University. He was with the Faculty of Engineering, Yamagata University, from 1995 to 2002. From 1998 to 1999, he worked with the College of Engineering, Boston University, MA, USA, as a Visiting Scholar. He is now a Professor of the Graduate School of Engineering, Tohoku University. He is engaged in speech signal processing, human machine communication, music signal processing and speech-based language learning system. He is a member of the Acoustical Society of Japan, the Information Processing Society of Japan, IEICE, and the IEEE. He was a vice-president of the Acoustical Society of Japan from 2013 to 2014, a chair of IEEE Signal Processing Society Sendai Chapter from 2013 to 2016, and the editor-in-chief of the Acoustical Science and Technology from 2015 to 2016.


Previous Keynote Speakers


Fellow of IEEE ,Dean, Prof. M J T Smith, Purdue University, USA

Speech Title: Voice Conversion and Modification

Abstract: Digital speech technology continues to have an increasing presence in society, impacting hundreds of millions of people. Common examples include text-to-speech systems, GPS devices, cell phones, automated response systems, and many more.  This talk presents some high performance approaches to speech modification and voice conversation that expand application functionality by enabling speaker identity to be modified. In particular, a voice conversion algorithm based on a Gaussian Mixture Model (GMM) is employed. Instead of employing the Expectation Maximization (EM) algorithm to determine the parameters of the GMM, we us a neural network, which helps improve the accuracy of the estimation and in turn reduces distortion in the converted speech. Flexibility to control pitch, cadence, and time scale are achieved using a sinusoidal model for synthesis.


Bio: Mark J. T. Smith received his B.S. degree from the Massachusetts Institute of Technology and his M.S. and Ph.D. degrees from the Georgia Institute of Technology, all in electrical engineering. He joined the electrical engineering faculty at Georgia Tech in 1984 and later served as the executive assistant to the president of the institute from 1997-2001. In January 2003, he joined the faculty at Purdue University as head of the School of Electrical and Computer Engineering. Presently, he serves as Dean of the Graduate School and holds the Michael & Katherine Birck endowed professorship.

Dr. Smith is a fellow of the IEEE and a former IEEE Distinguished Lecturer in Signal Processing.  He has authored many papers in the areas of speech and image processing, filter banks, and wavelets and is the co-author of two introductory books titled, Introduction to Digital Signal Processing and Digital Filtering. He is also co-editor of the book, Wavelets and Subband Transforms: Design and Applications, and the co-author of the textbook, A Study Guide for Digital Image Processing.

In addition to professional service, teaching, and research, Dr. Smith's past includes athletic training and competition in the sport of fencing. He was National Champion of the United States in 1981 and 1983 and a two-time member of the U.S. Olympic Team in 1980 and 1984.


IEEE and IET Fellows, Prof. Chin-Chen Chang, Feng Chia University, Taiwan

Speech Title: Information Hiding Techniques Using Magic Matrix

Abstract: Steganography is the science of secret message delivery using cover media. A digital image is a flexible medium used to carry a secret message because the slight modification of a cover image is hard to distinguish by human eyes. 
In this talk, I will introduce four methods: Information Hiding Based on an Image Compression  Method, Kim et al.'s Method,  Zhang and Wang’s Method and Sudoku Solutions Based Method. A selected Sudoku solution is used to guide cover pixels’ modification in order to imply secret data. Because the number of possible Sudoku solutions is very large, this method is  securer than Kim et al.’s Method and Zhang and Wang’s Method. From the experimental results, the visual quality of stego images produced by the Sudoku method is high.  Also, in this talk, I am going to  point out some optimization problems related to this research area. 

Biography: Professor C.C. Chang was born in Taichung, Taiwan on Nov. 12th, 1954. He obtained his Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005.

Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan.Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 1,100 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.


Prof. Alexander Balinsky, Cardiff University, UK

Speech Title: Unusual Change Detection and Mining Unstructured Data

Abstract: In this talk we review and present a novel approach to data mining based on the Gestalt theory in Computer Vision and human perception. We also explain mathematical background of "a contrario" detection theory in data mining and image processing. Several new applications of image processing for text mining and data segmentations will be presented. Relations between "a contrario" modelling and deep learning will be discussed.”


Biography: Prof. Alexander Balinsky received his PhD degree in Mathematical Physics from the Landau Institute of Theoretical Physics in 1990 and was Research Fellow in the Department of Mathematics at The Technion-Israel Institute of Technology from 1993 till 1997. He joined Cardiff University in 1997.He is a Professor in the Cardiff School of Mathematics and WIMCS (Wales Institute of Mathematical and Computational Sciences) Chair in Mathematical Physics. His current research interests lie in the areas of spectral theory, stability of matter, image processing and machine learning. He has participated in EU TMR network on Partial Differential Equations and Quantum Mechanics (1996-2001).He was PI on three years grant from United State-Israel Binational Science Foundation (1996-1999),on three years EPSRC Research Grant 2003-2006.He was founding member of Cardiff Communication Research Center. In 2007-2011 he had joint with Hewlett-Packard EPSRC CASE award,and from October 2011 joint with Hewlett-Packard 50%-50% PhD Scholarship. He also did consultancy work for Reuters, London on athematical models for Internet Security.