Prof. Jenq-Neng Hwang, IEEE Fellow
University of Washington, USA
Jenq-Neng Hwang
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
Professor
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
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. 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.
Plenary Speakers
Prof. Jamshid Dehmeshki
Kingston University, United Kingdom
Jamshid
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
Quantitatively accurate 3D underwater scene reconstruction from imagery: challenges and solutions
Yuri Rzhanov,
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.