应数学与统计学院信息与系统科学研究所的邀请，美国杜兰大学Dr. Junbo Duan于12月28日来我校进行学术交流并作学术报告。
   
        时    间：  12月28日下午4:30
        地    点：  理科楼122室
        报告题目:  Compressive sensing: theory and application in next generation sequencing data analysis

        报告摘要:
        In the last decade, compressive sensing emerged in various scientific and engineering fields. With fruitful results, it brings profound impact on our research communities. Applications can be found in machine learning, medical image processing, data mining, and many other areas. In the first part of the presentation, a brief introduction of the compressive sensing will be given, followed by the mathematical modeling, the theoretical conditions concerning the recovery of sparse signals, and the algorithms to tackle the variants and extensions based on sparse modeling. The second part of the presentation will focus on the application of compressive sensing to the emerging next generation sequencing (NGS) data analysis; examples on the detection of copy number variations from NGS for disease diagnosis will be given.  

        报告人简介:
        Dr. Junbo Duan is a postdoctoral fellow in the Department of Biomedical Engineering & Center for Bioinformatics and Genomics, Tulane University. His research interests include theory and methodology in signal processing in bioinformatics, such as inverse problems, source separation, sparse representation, non-parametric modeling and model selection criteria. 

        欢迎感兴趣的师生参加！