Keynote Speakers & Plenary Speaker
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.
Title: Image Authentication and Tamper Localization
Abstract: Image authentication can be used in many fields, including e-government, e-commerce, national security, news pictures, court evidence, medical image, engineering design, and so on. Since some content-preserving manipulations, such as JPEG compression, contrast enhancement, and brightness adjustment, are often acceptable—or even desired—in practical application, an authentication method needs to be able to distinguish them from malicious tampering, such as removal, addition, and modification of objects. Therefore, the traditional hash-based authentication is not suitable for the application. As for the semi-fragile watermarking technique, it meets the requirements of the above application at the expense of severely damaging image fidelity. In this talk, we propose a hybrid authentication technique based on what we call fragile hash value. The technique can blindly detect and localize malicious tampering, while maintaining reasonable tolerance to conventional content-preserving manipulations. The hash value is derived from the relative difference between each pair of the selected DCT coefficient in a central block and its counterpart which is estimated by the DC values of the center block and its adjacent blocks. In order to maintain the relative difference relationship when the image undergoes legitimate processing, we make a pre-compensation for the coefficients. Finally, we point out the direction using deep leaning technique for image authentication.
Franklin Bien, Ulsan National Institute of Science and Technology, Korea
Professor Franklin Bien received the B.S. degree from Yonsei University in 1997.
He received his M.S. and Ph.D. degrees from the Georgia Institute of Technology at Atlanta, GA in 2000 and 2006 respectively. Dr. Bien’s heritage roots from Dr. Joy Laskar. This also means Dr. Bien’s heritage roots from a Nobel laureate and the father of ‘transistor’, Dr. John Bardeen as you can see from the ‘People’ tab.
Prior to joining UNIST in 2009, Dr. Franklin Bien was with Staccato Communications, San Diego, CA as a Senior IC Design Engineer working on analog/mixed-signal IC and RF front-end blocks for Ultra-Wideband (UWB) products such as Wireless-USB.
Before working at Staccato, Dr. Bien was with Agilent Technologies and Quellan Inc., developing transceiver ICs for enterprise segments that improve the speed and reach of communication channels in consumer, broadcast, enterprise and computing markets.
In the early stage of his career including the Ph.D. work, Dr. Bien’s research interests included signal integrity improvement with alternate modulation schemes, cross-talk noise cancellation, and equalization techniques for 10+Gb/sec broadband communication applications. Dr. Bien’s research and design experiences includes CMOS RF front-end circuits for UWB wireless communications, adaptive circuits for wireless power transfer (WPT) applications, and electronics design for future automobiles and electric vehicles. For more, please visit http://bicdl.unist.ac.kr/UNIST_ECE_Franklin_Bien/Home.html.
Title: Control Loop enabled Full RF Glucose Sensing Technology
Abstract: Diabetes affect more than 425 Million patients worldwide responsible for over 5 Million annual death. Diabetes patients must monitor their glucose levels in order to have proper medical treatment including insulin injection and others. Unlike the commonly known Type 2 diabetes, there is a Type 1 diabetes whose pancreas doesn’t function properly. This affects more than 50 Million patients world wide, and they must monitor their glucose levels more often, at least every hour. As a result, conventional pricking method to monitor the glucose levels can be cumbersome and painful for the Type 1 diabetic patients. In order to enhance the quality of life for Type 1 diabetic patients, an alternative way to the pricking method has emerged: the Continuous Glucose Monitoring (CGM) systems. The CGM in the market today uses an enzyme based sensors that need to be replace every week resulting in very high cost for the patients while causing skin rash problems. In this talk, we present a Control loop enabled fully electromagnetically sensing CGM technology that excludes any enzyme based electro-chemical based sensors.
Reinhard Klette, Auckland University of Technology, New Zealand
Prof. Reinhard Klette (Auckland University of Technology, Fellow of the Royal Society of New Zealand, Quancheng Friendship Award, Helmholtz Fellow) made significant contributions to two major areas, digital geometry and computer vision. He is the director of the Centre for Robotics & Vision (CeRV).
Professor Klette has been working in the area of computer vision for more than 30 years. In 2003 he published with the late Professor Azriel Rosenfeld of University of Maryland, USA, the first comprehensive monography on digital geometry (published by Morgan Kaufmann, San Francisco). He has become internationally renouned for his work in vision-based driver assistance since 2006, with important contributions on performance evaluation and improvements of correspondence algorithms (for stereo matching and optical flow) on realworld video data, supporting, for example, 3D scene reconstruction from a mobile platform.
In 2008 he co-authored (with two of his former PhD students) a research monograph on panoramic vision (with Wiley, UK), in 2011 a research monograph (also co-authered with a former PhD student) on shortest paths in Euclidean spaces (with Springer, UK), and in 2017 a research monograph (also co-authered with a former PhD student) on vision-based driver assistance (with Springer, The Netherlands). His book entitled “Concise Computer Vision” has been published by Springer, London (UK), on 5 January 2014. In August 2018, the number of downloads of e-copies of this book, or parts of it, from Springer’s website surpassed the 61,000 mark. This is an exceptional high number for any computer science textbook published by Springer.
Since 1995, Professor Klette has been invited as a keynote or plenary speaker to international conferences worldwide. Between April 2011 and October 2013 he has been the founding Editorin- Chief of the Journal of Control Engineering and Technology (JCET). He was an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) between 2001 and 2008, which is a top-ranked journal in all engineering and computer science disciplines. He is a life-time honorary steering committee member of the biennial conferences on Computer Analysis of Images and Patterns, taking place in Europe, and a steering committee member of the Pacific- Rim Symposium on Image and Video Technology.
Professor Klette supervised already 30 PhD students to the successful completion of their PhD program.
Title: Large-scale 3D Roadside Modelling with Road Geometry Analysis: Digital Roads New Zealand
Abstract: Latest developments in camera technology and
computer vision, as well as in computer and communication technologies,
contribute to improving safety on roads by the development of new key
technologies, such as autonomous driving or driver-assistance systems.
These new technologies need to be tested extensively and purposefully, and supported by environment or infrastructure models or integrated sensors. The paper reports about a project ``Digital Roads New Zealand’’, undertaken by DLR Berlin (an institute of the German Aerospace Centre), AUT (Auckland University of Technology, New Zealand), and N3T, a company at Whangarei, New Zealand. Novel sensor technologies, including stereo vision and odometry, have been used for recording, modelling and analysing a very large test site.
It is demonstrated how those data can be used for detecting changes in road geometry, such as various forms of road surface distress. An important novelty of the shown solution is the scale of the project (i.e. size of the digitised area using car-mounted sensors) together with the achieved very high accuracy in road-geometry analysis. - This talk is joint work with DLR Berlin, N3T Whangarei, and Amita Dhiman and Hsiang-Jen Chien at AUT.