Prof. Bijoy K. Ghosh
Texas Tech University, USA
Bijoy received the B. Tech and M. Tech degrees in Electrical and Electronics Engg. from BITS Pilani and the Indian Institute of Technology, Kanpur, India, and the Ph.D. degree in Engineering Sciences from the Decision and Control Group of the Division of Applied Sciences, Harvard University, Cambridge, MA, in 1977, 1979 and 1983, respectively. From 1983 to 2007 Bijoy was with the Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA, where he was a Professor and Director of the Center for BioCybernetics and Intelligent Systems. Currently he is the Dick and Martha Brooks Regents Professor of Mathematics and Statistics at Texas Tech University, Lubbock, TX, USA. He received the Donald P. Eckmann award in 1988 from the American Automatic Control Council, the Japan Society for the Promotion of Sciences Invitation Fellowship in 1997. He became a Fellow of the IEEE in 2000, and a Fellow of the International Federation on Automatic Control in 2014. Currently he is the IEEE Control Systems Society Representative to the IEEE-USA's Medical Technology Policy Committee. Bijoy had held visiting positions at Tokyo Institute of Technology, Osaka University and Tokyo Denki University, Japan, University of Padova in Italy, Royal Institute of Technology and Institut Mittag-Leffler, Stockholm, Sweden, Yale University, USA, Technical University of Munich, Germany, Chinese Academy of Sciences, China and Indian Institute of Technology, Kharagpur, India. Bijoy's current research interest is in BioMechanics and Control Problems in Rehabilitation.
Prof. Yinglei Lai
The George Washington University, USA
Dr. Yinglei Lai is Professor of Statistics in the Department of Statistics at the George Washington University. His research interest is to develop statistical and computational methods in bioinformatics, computational biology and biostatistics. He received his B.S. in Information & Computation Sciences and Business Administration from the University of Science and Technology of China in 1999. Dr. Lai received his Ph.D. in Applied Mathematics (Computational Biology) from the University of Southern California in 2003. After his postdoctoral training at Yale University School of Medicine, he joined as a faculty member in the Department of Statistics at the George Washington University in 2004.
Prof. Edwin Wang
University of Calgary, Canada
Dr. Edwin Wang is Professor and AISH Chair in Cancer Genomics at the University of Calgary. He was a Senior Investigator at the National Research Council Canada and Professor at McGill University. He has a undergraduate training in Computer Science and a PhD training in Experimental Molecular Genetics (UBC, 2012). He is the member of the AACR-Cancer Systems Biology Think Tank, which consists of ~30 world leaders in the field for discussing key problems and cutting-edge directions. He is an Editor of PLoS Computational Biology, the top journal in the field of bioinformatics. He has edited the book of Cancer Systems Biology (2010), the first book of the field. His pioneering work of microRNA of singling networks opens the new research area: network biology of non-coding RNAs. His pioneering work of cancer network motifs has been featured in the college textbook, GENETICS (2014/2017) written by a Nobel Laureate, Dr. Hartwell and the father of systems biology, Dr. Hood.
Assoc. Prof. Qijun Zhao
Sichuan University, China
Qijun Zhao is currently an associate professor in the College of Computer Science at Sichuan University. He obtained his B.Sc. and M.Sc. degrees in computer science both from Shanghai Jiao Tong University, and his Ph.D. degree in computer science from the Hong Kong Polytechnic University. He worked as a post-doc research fellow in the Pattern Recognition and Image Processing lab at Michigan State University from 2010 to 2012. His research interests lie in biometrics, particularly, face perception and affective computing, with applications to intelligent video surveillance, public security, healthcare, and human-computer interactions. Dr. Zhao has published more than 50 papers in academic journals and conferences, and participated in many research projects either as principal investigators or as primary researchers. He is a reviewer for many renowned field journals and conferences. He served as a program committee co-chair in organizing the 11th Chinese Conference on Biometric Recognition (CCBR2016) and the 2018 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).
Prof. Ralf Hofestädt
Bielefeld University, Germany
Prof. Ralf Hofestädt studied Computer Science and Bioinformatics at the University of Bonn. He finished his PhD 1990 (University Bonn) and his Habilitation (Applied Computer Science and Bioinformatics) 1995 at the University of Koblenz. From 1996 to 2001, he was Professor for Applied Computer Science at the University of Magdeburg. Since 2001, he is Professor for Bioinformatics and Medical Informatics at the University Bielefeld. The research topics of the department concentrate on biomedical data management, modeling and simulation of metabolic processes, parallel computing and multimedia implementation of virtual scenarios.
Speech Title: "Medical Omics for the Detection of Comorbidity between Asthma and Hypertension"
Abstract: In general, comorbidity between two diseases will point to a causal relationship, which may be explained by the presence of common pathways or biochemical processes. Furthermore, comorbidity may be the result of non-obvious cofounder effects, e.g. life-style or environmental factors, predisposing to multiple health problems. Hypertension is observed by around 30% of the adult population and its prevalence is growing together with the age. Hypertension causes many other cardiovascular diseases, including heart failure. Asthma is a chronic respiratory disease and seems to be the result of complex interactions between genetic and environmental risk factors. Many studies report association between asthma and hypertension in different patient cohorts showing that asthmatic patients are more predisposed to hypertension. Presence of hypertension, in turn, is associated with increased frequency and severity or asthma. Considering that both asthma and hypertension have a strong genetic component, several attempts to find shared genes in order to explain comorbidity between asthma and hypertension have been made. This talk will present the genetic analysis of both diseases and the side effects of the drug treatment in practise.
Dr. Mingxiang Teng
Harvard University, USA
Dr. Mingxiang received his B.Eng. (2006), M.Eng. (2008) and Ph.D. (2012) degrees in Computer Science from Harbin Institute of Technology. He is currently a Research Fellow in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health. His research focuses on developing computational and statistical methods, tools and software to help understand genomics data, specifically, addressing the data challenges in genomics and epigenomics such as pre-processing, analysis and integration of high-throughput data.
Prof. Ming Chen
Zhejiang University, China
Ming Chen received his PhD in Bioinformatics from Bielefeld University, Germany, in 2004. Currently he is working as a full Professor in Bioinformatics at College of Life Sciences, Zhejiang University. His group research work mainly focuses on the systems biology, computational and functional analysis of non-coding RNAs, and bioinformatics research and application for life sciences. Prof. Chen is serving as an academic leader in Bioinformatics at Zhejiang University. He chairs the Bioinformatics society of Zhejiang Province, China. He is a committee member of Chinese societies for "Modeling and Simulation of Biological Systems", "Computational Systems Biology", "Functional Genomics & Systems Biology" and "Biomedical Information Technology".
Prof. Zhiwei Qiao
ShanXi University, China
Zhiwei Qiao received his PhD degree in transportation information engineering and control from Beijing Jiaotong University in 2011. He was a Postdoctoral Scholar and Visiting Professor with Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA, from August 2012 to August 2014 and from January 2017 to August 2017, respectively. He is currently a professor with School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China. His research interests include electron paramagnetic resonance imaging (EPRI), computed tomography (CT) and magnetic resonance imaging (MRI) etc. He mainly focuses on image reconstruction algorithm, signal processing and high performance computing. He has published a series of papers on CT and EPRI image reconstruction, especially two papers on Journal of Magnetic Resonance. Now, he is constructing the China-USA united lab for medical imaging, supported by Shanxi University and The University of Chicago.
Prof. Minghui Li
Soochow University, China
Dr. Minghui Li is currently a professor in School of Biology & Basic Medical Sciences at Soochow University. Dr. Li received her Ph.D. in Computational Biophysics from the State Key Laboratory of Theoretcial and Computational Chemistry at Jilin Univeristy, China in 2010. Upon completion of her Ph.D., Dr. Li spent two years as a Postdoctoral Fellow in Computational Biophysics at The State University of New York at Buffalo in the USA. Then she moved to National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH) and worked as a Postdoctoral Fellow and Research Fellow from 2012 to 2016. Dr. Li’s primary research interests are in understanding the mechanisms of molecular recognition in biological systems, identifying disease-causing/cancer driver nonsynonymous mutations and building the relationship between genotype and phenotype at the molecular and atomic level using computational biophysics-based and bioinformatics methods. She has balanced method development with the application of these powerful tools to relevant cancer related targets. She will continue her research towards developing and applying powerful computational methods and tools for understanding, identifying and predicting disease-causing nonsynonymous mutations as well as their molecular mechanism analysis of pathogenesis in collaboration with biologists.
Previous Keynote Speakers
Prof. David Zhang
Hong Kong Polytechnic University, Hong Kong
Prof. Nozomu Hamada
Universiti Teknologi Malaysia (UTM), Malaysia
Prof. Wirachman Wisnoe
Universiti Teknologi MARA (UiTM), Malaysia