Prof. Jenq-Neng Hwang, IEEE Fellow
University of Washington, USA
received his bachelor’s and master’s degrees, both in electrical
engineering, from the National Taiwan University, Taipei,
Taiwan, in 1981 and 1983 respectively. He received his Ph.D.
from the University of Southern California in 1988. In 1989,
Hwang joined UW EE, becoming a full professor in 1999. He served
as the Associate Chair for Research from 2003-2005 and again
from 2011-2015. Hwang is currently the Associate Chair for
Global Affairs and International Development. He has written
more than 300 journal articles, conference papers and book
chapters in the areas of multimedia signal processing and
multimedia system integration and networking. He is the author
of the textbook “Multimedia Networking: from Theory to
Practice.” Hwang has a close working relationship with industry
on multimedia signal processing and multimedia networking.
Dr. Hwang received the 1995 IEEE Signal Processing Society's Best Journal Paper Award. He is a founding member of Multimedia Signal Processing Technical Committee of IEEE Signal Processing Society and was the Society's representative to IEEE Neural Network Council from 1996 to 2000. He is currently an advisory member of Multimedia Technical Committee (MMTC) of IEEE Communication Society and also a member of Multimedia Signal Processing (MMSP) and Internet of Things (IoT) of IEEE Signal Processing Society. He served as an associate editor for IEEE T-SP, T-NN, T-CSVT, IEEE T-IP, and IEEE Signal Processing Magazine, as well as an Editor for JISE, ETRI, JSPS, and IJDMB. He was the Program Co-Chair of ICASSP 1998 and ISCAS 2009, and is the Program Co-Chair for ICME 2016. Dr. Hwang is a fellow of IEEE since 2001.
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. Chin-Chen Chang, IEEE and IET Fellow
Feng Chia University, Taiwan
Chin-Chen Chang obtained his Ph.D. degree in computer
engineering from National Chiao Tung University. His 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
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. And since his early years of career development, he consecutively won Institute of Information & Computing Machinery Medal of Honor, Outstanding Youth Award of Taiwan, Outstanding Talent in Information Sciences of Taiwan, AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan, Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, Top Cited Paper Award of Pattern Recognition Letters, and so on. 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 hundreds 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. Jamshid Dehmeshki
Kingston University, United Kingdom
Dehmeshki is a full-time Professor of Medical Image Analysis in
the Faculty of science, engineering and computing at Kingston
University, UK, where he is a director of a recent established
laboratory/Center, QMIC (Quantitative Medical Imaging
lab/Centre). QMIC is collaboration between Kingston University
(KU) and the University Hospital of Lausanne (CHUV). The primary
purpose of QMIL is to research and develop novel medical image
analysis algorithms and software and to validate their
effectiveness in a clinical environment. In this capacity, he is
also the Founder of Mediar (www.mediar.co.uk) - a sole trader
company involves in developing state-of-the-art medical image
and data analysis software. He is currently main supervisor
(director of study) of thirteen Postgraduate students. He has
published more than 140 scientific research papers, five book
chapters, and holds thirteen patents.
His long-term research focuses on computer-aided detection (CAD) and Measurement (CAM) of lesions in medical images. CAD research aims at discovering the fundamental perception processes of human vision in the image-based diagnosis of lesions, and developing mathematical/computational models that describes them. His most recent research has concentrated on detecting, measuring and quantifying the vascular diseases using CT angiography.
In addition to research activities, He has got depth knowledge of product development life cycle. Over last five years of working at Mediar, He designed the detailed architecture of several image processing libraries for direct integration into third party products/workstations and a variety of image processing algorithms to build a robust general image processing library for rapid product development. he has also developed a series of functionality for image analysis including a family of CAD and CAM libraries to automatically detect quantify and characterise a region of interest within human body. In addition to IP library, he has developed a medical imaging platform with sophisticated GUI using .NET and WPF. The platform were used to integrate all CAD system technology.
Over five years of working at Medicsight Plc as CTO (2001-2006), he was instrumental in the designing and development of three families of state-of-the-art medical imaging software products, namely, Colon CAR (Computer Assisted Reader), Heart Screen and Lung CAR, which received FDA approval and CE marking. He led the delivery of five major medical software products with FDA approval and CE marking. He designed and patented the architecture for image processing products with features that achieved FDA 510(K) compliance.
Prof. Yuri Rzhanov
University of New Hampshire, United States
with a Ph.D. in Physics and Mathematics from the Russian Academy
of Sciences, is a Research Professor in the Center for Coastal
and Ocean Mapping. He completed his thesis on nonlinear
phenomena in solid state semiconductors in 1983. Since joining
the center in 2000, he has worked on a number of signal
processing problems, including construction of large-scale
mosaics from underwater imagery, automatic segmentation of
acoustic backscatter mosaics, accurate measurements of
underwater objects from stereo imagery.
His research interests include development of algorithms and their implementation in software for 3D reconstruction of underwater scenes, automatic detection and abundance estimation of various marine species from imagery acquired from ROVs, AUVs, towed and handheld cameras.