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Prof. Mohd Zaid Bin Abdullah
Universiti Sains Malaysia, Malaysia
Prof. M. Z. Abdullah graduated from Universiti Sains Malaysia (USM) with a B. App. Sc. degree in Electronic in 1986 before joining Hitachi Semiconductor as a test engineer. In 1989, he commenced an M.Sc. in Instrument Design and Application at University of Manchester Institute of Science and Technology, UK. He remained in Manchester conducting research in Electrical Impedance Tomography at the same university, and received his Ph.D. degree in 1993. He joined USM in the same year. His research interests include microwave tomography, digital imaging, and ultra wide band sensing. He has published numerous research articles in international journals and conference proceedings. One of his papers was awarded The Senior Moulton medal for the best article published by the Institute of Chemical Engineering in 2002. Presently he is director of the Collaborative Microelectronic Design Excellence Centre (CEDEC), Universiti Sains Malaysia.
Speech Title: "Tomgraphic Imaging with Ultra-Wide Band (UWB) Sensors"

Abstract: One fundamental weakness of microwave imaging is resolution. Good resolution demands a small wavelength and therefore high frequency. Higher frequencies, in the other hand, are attenuated more rapidly, and the adequate depth of penetration dictates a low frequency, no higher than 5 MHz. This is the main problem that plagues almost all microwave systems. The second weakness is small field of view resulting from the non-availability at this time of an efficient miniturised type microwave sensor with large bandwidth. This problem is particularly chronic in organ sensing where at this point and except for specialised area, this type of application requires the size of antenna to be relatively small compared to the field of view. The third drawback is related to the inherent multiple scaterring effect. This requires very complicated image reconstruction algorithm and advanced signal processing technique. Currently, most algorithms are based on the beam-forming methods such as the Delay and Sum (DAS) or its variants. The appealing features of this method lies in its simplicity and computational efficiency. However, it only produces approximate solution since the field data is lost due to the linearisation of the inversion procedures. All these problems put the microwave system at a disadvantage. The advent of ultra wide band (UWB) technology and high frequency dielectric resonator antenna (DRA) stimulated new interest in this field as its potential for new applications was recognised. This keynote addresses the development of UWB research at USM, focusing on two potential applications – breast cancer detection and through-the-wall-imaging.

Prof. Taesung Park
Seoul National University, South Korea
Prof. Taesung Park received his B.S. and M.S. degrees in Statistics from Seoul National University (SNU), Korea in 1984 and 1986, respectively and received his Ph.D. degree in Biostatistics from the University of Michigan in 1990. From Aug. 1991 to Aug. 1992, he worked as a visiting scientist at the NIH, USA. From Sep. 2002 to Aug. 2003, he was a visiting professor at the University of Pittsburgh. From Sep. 2009 to Aug. 2010, he was a visiting professor in Department of Biostatistics at the University of Washington. From Sep. 1999 to Sep. 2001, he worked as an associate professor in Department of Statistics at SNU. Since Oct. 2001 he worked as a professor and currently the Director of the Bioinformatics and Biostatistics Lab. at SNU. He served as the chair of the bioinformatics Program from Apr. 2005 to Mar. 2008, and the chair of Department of Statistics of SNU from Sep. 2007 and Aug. 2009. He has served editorial board members and associate editors for the international journals including Genetic Epidemiology, Computational Statistics and Data Analysis, Biometrical Journal, and International journal of Data Mining and Bioinformatics. His research areas include microarray data analysis, GWAS, gene-gene interaction analysis, and statistical genetics.
Prof. Francis Y. L. Chin
University of Hong Kong, Hong Kong
Prof. Francis Y. L. Chin received his B.A.Sc. degree from the University of Toronto in 1972, and his M.S., M.A. and Ph.D. degrees from Princeton University in 1974, 1975, and 1976, respectively. Prior to joining The University of Hong Kong (HKU) in 1985, he had taught at the University of Maryland, Baltimore County; the University of California, San Diego; the University of Alberta; the Chinese University of Hong Kong; and the University of Texas at Dallas. Professor Chin was the Chair of the Department of Computer Science at HKU and was the founding Head of the Department from its establishment until December 31, 1999. From 2002 until July 31, 2006, he had served as the Associate Dean of the Graduate School. From 2007 to his retirement from HKU in 2015, Prof Chin had served as an Associate Dean of the Faculty of Engineering. Professor Chin is an IEEE Fellow and his research interests include design and analysis of algorithms, machine learning, and bioinformatics including Motif-finding (Motif discovery) and De Novo genome assembly (IDBA). Professor Chin is now an Emeritus Professor of The University of Hong Kong.
Speech Title: "Metagenomic Binning of Next-Generation Sequence (NGS) Reads"

Abstract: Next-generation sequencing (NGS) technologies allow the sequencing of microbial communities directly from the environment without prior culturing. The output of environmental DNA sequencing consists of many reads from genomes of different unknown species, making the clustering together reads from the same (or similar) species (also known as binning) a crucial step. Metagenomic binning remains an important topic in Metagenomic analysis. The difficulties of the unsupervised binning methods for NGS reads are due to the following factors: (1) the lack of reference genomes; (2) uneven abundance ratio of species (especially with some extremely low-abundance species); (3) short NGS reads; and (4) a large number of species. In this talk, the possible approaches for handling these difficulties will be discussed.


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