Keynote Speakers

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.

Invited Speakers

Dr. Lianly Rompis
Universitas Katolik De La Salle Manado, North Sulawesi-Indonesia

Lianly Rompis 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.

Speech abstract: In learning and education, picture or image has a quite important role to convey information and build communication. It can be created manually by hand drawing or designed electronically using computer and digital devices. Some pictures or images also can be taken using digital cameras or smartphones. In daily communication through social media, it often happens that people need to capture or screenshoot images from computer or smartphone screen. With image capture or image screenshoot applications, the problem will be easily solved and people can get clear pictures for data exchange, message forwarding, proof of transactions, and brief information. Problem that usually occurs is capturing the images directly on the computer screen or other digital devices screen using our smartphone or digital camera. Mostly we didn’t have time to record or take screenshoot of an image on the computer and digital screen then send the image to our smartphone gallery. We need a faster image transfer, so we use smartphone or digital camera to take photo and capture the image. As a result, we get a darker and distortion image. My research is trying to solve this problem and find a proper procedure to create a clear and smooth image which can bring accurate information and facilitate better communication without compromising security policies and people's rights.
The research methodology is studying, making observations and conducting experiments using image processing parameters and screen characteristics. The outcome gives promising innovations for future works.