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JLi 

Prof. Dr Jonathan Li, P.Eng., IEEE Senior Member

Xiamen University, China

 

MarineSAR: Tracking Marine Oil Spills by RADARSAT

Ocean pollution caused by oil-spills is currently considered a significant environmental hazard. Synthetic aperture radar (SAR) carried by Earth observing satellites have proven to be a powerful tool for monitoring oil-spills in marine waters. This talk will provide a comprehensive overview of currently available satellite SAR sensors and SAR image analysis approaches to oil-spill monitoring with a focus on dark-spot detection. Dark-spot detection is a fundamental step in computerized marine oil-spill detection systems. Automated detection of dark-spots using SAR imagery is a very challenging task, primarily due to the presence of multiplicative noise known as speckle. This talk will present a novel two–phase automated segmentation approach, namely the total variation optimization segmentation (TVOS), in which, spatial, intensity, and gradient differences are used to effectively remove the speckles while preserving the boundaries of oil areas. The quantitative assessment of the dark-spot detection results obtained using both synthetic and real COSMO-SkyMed SAR images demonstrated that the TVOS method consistently reached a kappa value near 1 throughout all the noise levels, indicating good matches with the reference data. Also, the proposed dark-spot detection approach presents better segmentation results and takes less computing time.


BIOGRAPHY

Dr. Jonathan Li is a Professor and Dean of the School of Information Science and Engineering, Xiamen University, China. He is also a Professor of Geomatics and Director of the Geospatial Technology and Remote Sensing (GeoSTARS) Lab in the Faculty of Environment, University of Waterloo, Canada. He received his Ph.D. degree in Geomatics Engineering from the University of Cape Town, South Africa. Prof. Li has his current research focused on use of RADARSAT images for monitoring coastal and marine waters and use of mobile laser scanning point clouds for 3D surface modeling of critical infrastructure. He has published extensively in leading remote sensing journals. Prof. Li has received several prestigious awards, including Talbert Abrams Award, ESRI Best Paper Award and MDA Best Paper Award. He is also Adjunct Professor of York University in Canada and Guest Professor of Peking University and Wuhan University and several other top-ranked universities in China. Dr. Li is currently Chair of the Inter-commission working group V/I on Land-based Mobile Mapping Systems of the International Society for Photogrammetry and Remote Sensing (ISPRS) (2008-2012), Vice Chair of the Commission on Mapping from Remote Sensor Imagery of the International Cartographic Association (ICA) (2011-2015), Vice Chair of the Commission IV Hydrographyog the International Federation of Surveyors (FIG) (2011-2014). He has been the remote sensing Editor of GEOMATICA and SENSORS since 2007.

 

MLeucker

Prof. Dr Martin Leucker

Technical University of Munich

 

Energy Informatics


Informatics is the discipline that deals with the notion, storage, and processing of all that can be considered as information. Within the last decades, informatics has developed sophisticated modelling, analysis, and optimization techniques for a diverse set of phenomena found in the domain of processing information but also found in physical domains. Energy informatics is a relatively new field of informatics. It deals with the application of the methods and tools developed in informatics to all aspects and domains that deal with energy in a broad sense. As is the case for other fields such as bio informatics or legal informatics, it is expected that the systematic application of informatics for energy aspects will advance this field considerably. In this presentation, we will give an introduction to the field of energy informatics. We will discuss the characteristics of energy informatics, both by looking at different applications and working out their challenges as well as by looking at different fields of computer science and how they can contribute to solving the challenges in energy informatics.


BIOGRAPHY

Prof. Leuker is a renowned expert in the fields of software engineering and computer science. He is currently working at the Technical University in Munich and is a highly sought after speaker at international conferences.Widely published, Prof. Leuker's research interests lie in software engineering, formal methods, theoretical computer science, verification, model learning and informatics

 

HWang

Prof. Dr Hanzi Wang, IEEE Senior Member

Xiamen University, China


Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers


Robust statistical methods play a vital role in many activities in computer vision research. When engaged in the applications in a computer vision context, it is important to recognize that it is almost unavoidable that data are contaminated by noise and outliers (due to faulty feature extraction, segmentation errors, etc) and it is also likely that the data will include multiple structures. Thus, it has been widely acknowledged that all algorithms in computer vision should be robust for accurate estimation. To fit a model to noisy data (with a large number of outliers and multiple structures) is still a major and challenging task within the computer vision communities. In this talk, I will introduce some of my recent work on robust statistics and its various applications, including line fitting, circle fitting, range image segmentation, homography estimation and two-view based motion segmentation, etc.

 

BIOGRAPHY

Hanzi Wang is currently a Distinguished Professor and a “Min Jiang Scholar” at Xiamen University (XMU), China. He is a director of the center for Pattern Analysis and Machine Intelligence and the Computer Vision Laboratory at XMU. He has been an Adjunct Professor at the University of Adelaide, Australia since 2010. He was a Senior Research Fellow (2008-2010) at the University of Adelaide, Australia; an Assistant Research Scientist (2007-2008) and a Postdoctoral Fellow (2006-2007) at the Johns Hopkins University; and a Research Fellow at Monash University, Australia (2004-2006). He received the Ph.D. degree in Computer Vision from Monash University, Australia where he was awarded the Douglas Lampard Electrical Engineering Research Prize and Medal for the best PhD thesis. His research interests are concentrated on computer vision and pattern recognition including visual tracking, robust statistics, model fitting, object detection, video segmentation, and related fields. He has published more than 50 papers in major international journals and conferences including the IEEE TPAMI, IJCV, IEEE TMI, ICCV, CVPR, ECCV, NIPS, MICCAI, etc. He is an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and he was a Guest Editor of Pattern Recognition Letters (September 2009). He is a Senior Member of the IEEE. He has served as a reviewer for more than 20 journals and conferences.

 

LWang

Prof. Dr Lin Wang, IEEE Senior Member

Xiamen University, China


Robust Wireless Transmitting Techniques over E- HealthCare Environments

 
Recently e-healthcare is attracted much attention from research unit, universities and industry. There some important problems for us to need to solve. One of most important key points in this infrastructure is how to keep robust transmitting through modern short distance wireless communication network so that exact healthcare services are carried out.
In this talk one low complexity, low power modulation and demodulation transmitting technique, namely FM-DCSK UWB is introduced in this e-healthcare environment. We will describe and analyze the model how to implement the robust wireless transmitting through modern signal processing (STBC, MIMO, Cooperation Communications, ARQ) over indoor or WBAN. Meanwhile we will provide one new joint source and channel coding scheme to enhance the quality of wireless transmitting over AWGN, which is benefit to improve the robust transmitting over e-healthcare environments.
 

BIOGRAPHY


Dr. Lin Wang is a Professor and Associate Dean in Graduate Studies of the School of Information Science and Engineering, Xiamen University, China. He received the B.Sc. degree in Mathematics from Chongqing Normal University in 1984, M.Sc. degree in Applied Mathematics from Kunming University of Technology in 1989, and Ph.D. degree in Electronic Engineering from the University of Electronic Science and Technology of China in 2001, respectively. He was a Visiting Scholar with the Centre for Chaos and Complexity Networks, College of Science and Engineering, City University of Hong Kong in 2003. His research interests include wideband wireless communication theory (cross-layer design, network coding, UWB based on chaotic modulations), digital communication theory (source coding, channel coding, modulations) and their applications. He has published over 60 refereed journal and conference papers and owned 8 Chinese patents. He is IEEE senior member, Associate Editor of Acta Electronica Sinica (2011-2015), and Guest Associate Editor of International Journal of Bifurcations & Chaos (2010-2011).
 
 
 
 
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13th Edition of EY’s Annual Attractiveness Event

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The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

St. Julians. It is titled "Thinking without the box: disruption, technology and FDI".

 

The  students' invitation and more information can be found here

The conference programme can be found here

 

 
 
Last Updated: 11 April 2012

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