Data Science is an interdisciplinary area between computing, mathematics, statistics, analytics, methods, machine learning, data processing and domain expertise. Mastering Data Science often will need to have clear understanding about the data, which methods suitable to deal with the research challenges, extract important results and explain fully and accordingly to the goals of research or business requirements. Similar methods can be applied to different disciplines if used appropriately.
This keynote presents the latest research outputs for Data Science and Analytics services including healthcare, finance, data center computing, social networks, security and weather studies. In particular, two services will be at the center of attention. First, the health informatics service allows us to understand more about tumor, genes and proteins, as well as interpret part of how our human body can function. This includes the study of malignant tumor and genes that are prone to certain types of cancers. Second, it is the financial deep learning. We can identify the correlation between the current and the past stock movement from the best matching scenarios. Various techniques and results will be discussed in details. These two real-life examples can represent one of the next generation of Data Science and Analytics Services.
His current reserach interest includes intelligent information processing, machine learning and theories in numerical modeling. He proposes the L(1/2) regulation theory, which serves as foundations for sparse microwave imaging. He also discovers and proves Xu-Roach Theom in machine learning, which solves several difficult problems in nueral networks and simulated evolutionary computation，and provides a general deduction criteria for machine learning and nonlinear analysis under Non-Euclidean fromwork. lastly, he initiates new modeling theories and methodologies based on visual cognition, and formulates series of new algorithms for clustering analysis, discriminant analysis, and latent viable analysis, which have been widely applied to science and engineering. He is owner of the National Natural Science Award of China in 2007，and winner of CSIAM Su Buchin Applied Mathematics Prize in 2008. He delivered a sectional talk at International Congress of Mathematicians (ICM 2010) upon the invitation of the congress committee.
Professor Xu currently makes several important services for government and professional societies, including Consultant Expert for National (973) Program in Key Basic Science Research and Development (Information group), Ministry of Science and Technology of China; Evaluation Committee Member for Mathematics Degree, Academic Degree Commission of the Chinese Council; Committee Member in Scientific Committee of Education Ministry of China (Mathematics and Physics Group); Vice-Director of the Teaching Guidance Committee for Mathematics and Statistics Majors, the Education Ministry of China; Director of the Teaching Guidance Committee for Mathematic Education，the Education Ministry of China; Member in the Expert Evaluation Committee for Natural Science Foundation of China (Computer Science Group), The National Committee for Natural Science Foundation of China; Vice-president of Computational Intelligence Society of China; Editor-in-chief of the Textbooks on Information and Computational Sciences, Higher Education Press of China; Co-editor of nine national and international journals.