Prof. Sung Wing Kin, Ken
National University of Singapore, Singapore
Prof. Dr. Wing-Kin Sung received both the B.Sc. and the Ph.D. degree in the Department of Computer Science from the University of Hong Kong in 1993, 1998, respectively. He is a professor in the Department of Computer Science, School of Computing, NUS. Also, he is a senior group leader in Genome Institute of Singapore. He has over 20 years experience in Algorithm and Bioinformatics research. He also teaches courses on bioinformatics for both undergraduate and postgraduate. He was conferred the 2003 FIT paper award (Japan), the 2006 National Science Award (Singapore), and the 2008 Young Researcher Award (NUS) for his research contribution in algorithm and bioinformatics.
Speech Title: "Finding Transpositions in Repeat Regions Using High-Throughput Sequencing Data"
Abstract: Structural variations (SVs) are important since they can cause diseases. They can be discovered using second generation sequencing. The performance of existing software is good enough to call them if they are in non-repeat regions. However, when the SVs are in repeat regions. The performance is bad. For example, for insertion events, existing software can call less than 10% of the enchmark insertion events. In this talk, we will check if we can improve the performance of SV calling. In particular, we focused on transpositions. When compare with existing SV callers (without database), we shows at least 3 folds improvements in sensitivity for calling transpositions in repeat regions.
Prof. Tatsuya Akutsu
Kyoto University, Japan
Tatsuya Akutsu received the B.E. and M.E. degrees in aeronautics and the D.E. degree in information engineering from the University of Tokyo, Japan, in 1984, 1986, and 1989, respectively. From 1989 to 1994, he was with Mechanical Engineering Laboratory, Japan. From 1994 to 1996, he was an Associate Professor in the Department of Computer Science at Gunma University, Japan. From 1996 to 2001, he was an Associate Professor in Human Genome Center, Institute of Medical Science, University of Tokyo, Japan. Since 2001, he has been a Professor in Bioinformatics Center, Institute for Chemical Research, Kyoto University. His research interests include bioinformatics, discrete algorithms, and complex networks. He is an associate editor of BMC Bioinformatics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Speech Title: "Integration and Analysis of Heterogeneous Biological Data via Convolutional Neural Networks and Matrix Factorization"
Abstract: Integrating heterogeneous data is becoming an important topic in bioinformatics. Here we present three of our approaches to heterogeneous data analysis. The first one is based on convolutional neural networks. In this method, protein interaction network data were integrated with transcriptome data by embedding the network structure into image data via spectral clustering. The developed spectral-convolutional neural network based method was applied to classification of lung cancer. The second one is also based on convolutional neural networks. In this case, gene correlation and distance data were integrated with transcriptome data by embedding the distance data into image data via multidimensional scaling, and the resulting method was applied to classification of cancer subtypes. The third one is an application of an existing matrix tri-factorization technique. In this work, relations between proteases, protein targets, genes, pathways and domains were integrated via matrix tri-factorization for prediction of protease-target relations.
Prof. Kuo-Sheng Cheng
National Cheng Kung University, Taiwan
Prof. Kuo-Sheng Cheng received his B.Sc, M.Sc, and Ph.D degrees from Department of Electrical Engineering, National Cheng Kung University, Tainan, TAIWAN. He also received his M.Sc degree from Department of Biomedical Engineering, Rensselaer Polytechnic Institute, USA. Currently, he is a professor with the Department of Biomedical Engineering, National Cheng Kung University. He also is the Director of Department of Maintenance and Engineering, National Cheng Kung University Hospital and the Director of Engineering and Technology Promotion Center, which is financial supported by Ministry of Science and Technology, TAIWAN. He was the past President of the Biomedical Engineering Society of TAIWAN. His research interests includes medical image processing, electrical impedance imaging and biomedical instrumentation.
Speech Title: "Medical Applications and Future Trends of Bioimpedance Technology"
Abstract: Bioimpedance technology is one of the simple and easy methods to characterize property of the biological materials and physiological functions. It is a technique that applies the electrical voltage or current and measures the resulting current or voltage using single or multiple frequencies through electrodes. Based on these electrical application and measurement, the bioimpedance may then be obtained for tissues characterization such as body composition estimation, cancel differentiation, etc, as well as physiological functions analysis such as impedance cardiography, bioimpedance myography, etc. In addition, it may be further applied as electrical impedance tomography for producing the imaging to reveal the electrical properties of different tissues within body. Basing on these physiological functions or tissue properties, the diagnosis and prognosis may be directly or indirectly made. From the aspects of medical applications, the applications of electrical impedance tomography for pulmonary function analysis, bioimpedance myography for skeletal muscle characterization, bioimpedance spectroscopy for cancer cell differentiation may be possible future directions.
Assoc. Prof. Hiroyuki KUDO
Meiji University, Japan
Prof. Dr. Hiroyuki Kudo received both the M.E. and Ph.D. degrees in the Department of Electronics and Communications from Waseda University in 1999 and 2004, respectively. He was a research officer of MEMS laboratory, Tokyo Metropolitan Industrial Technology Research Institute from 2003 to 2007. He worked at Tokyo Medical and Dental University as an assistant professor from 2005, a junior associate professor from 2007 to 2011 and an associate professor from 2011 to 2013. Currently, he has been an associate professor of Department of Electronics at Meiji University. Currently, his research interests include biomicrosystems based on enzymatic biosensors and immunosensors and for life science applications.
Speech Title: "Non-invasive Bioinstrumentation for Next Generation Medicine and Healthcare"
Abstract: Recent advances in information technologies have been expected to bring a paradigm shift in medicine and personal healthcare fields. Some biometric- or physiological information (e.g. body weight, body temperature, body fat, etc.) has already been utilized in personal health services. In contrast, it is still difficult to use biochemical information such as blood component in those services because conventional techniques for determination of biochemical information usually requires blood sampling. Therefore, non-invasive method for blood content assessment is strongly requested for next generation medicine and healthcare. Non-invasive biomonitoring usually measures contents of body fluids (saliva, sweat, tear, urine and so on), that reflects blood contents. It is necessary to simplify whole procedure from ‘sampling’ to ‘measurement’ to be anyone can easily do within a short time and reasonable cos for this purposes We have been developed new biosensors and biomicorsystems capable of personal use. In this talk, our recent status of sensing system development and possible applications will be presented.
|Prof. Wen-Lian Hsu
Academia Sinica, Taiwan
|Prof. Kenta Nakai
The University of Tokyo, Japan
|Prof. Keimei Oh
Akita Prefectual University, Japan
|Prof. Manoj R. Tarambale
Marathwada Mitra Mandal’s College of Engineering, India
|Assoc. Prof. Siew Woh Choo
Xi'an Jiatong-Liverpool University, China
|Assoc. Prof. Riichi Kajiwara
Meiji University, Japan