西安交通大学生命科学与技术学院导师教师师资介绍简介-段君博

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WELCOME & BIENVENUE - 段君博BASIC INFORMATION

段君博Junbo DUAN, Ph.D.
Associate Professor
Department of Biomedical Engineering
School of Life Science and Technology
Xi'an Jiaotong University

CONTACT INFORMATION
Address: No. 28 Xianning West Road,
Xi'an, 710049, P. R. China
Xingqing campus office :
Jiao 2 Building room 103
iharbour campus office :
18 Building room 3063
Junbo.duan#mail.xjtu.edu.cn
please replace # with AT sign

VISITORS

EDUCATION
2007.10 – 2010.11, Université Henri Poincaré,Ph.D.
Centre de Recherche en Automatique de Nancy
2004.09 – 2007.07, Xi'an Jiaotong University,M.Sc.
Department of Communication Engineering
2000.09 – 2004.07, Xi'an Jiaotong University,B.Sc.
Department of Communication Engineering

WORKING EXPERIENCES
2016.10 – present, Xi'an Jiaotong University, Associate Professor
Department of Biomedical Engineering
2013.11 – 2016.10, Xi'an Jiaotong University, Assistant Professor
Department of Biomedical Engineering 2011.02 – 2013.08, Tulane University, Post Doctorate
Department of Biomedical Engineering &Department of Biostatistics and Bioinformatics 2010.04 – 2010.10, Université Henri Poincaré, Visiting Scholar
Laboratoire de Chimie Physique etMicrobiologie pour l'Environnement 2009.09 – 2009.10, Ecole Centrale de Nantes, Visiting Scholar
Institut de Recherche en communications etCybernetique de Nantes

RESEARCH INTERESTS
Signal & image processing
Bioinformatics & biomedical engineering
Sparse modeling & compressive sensing
Optimization & matrix computation

ACADEMIC SERVICES
Reviewer of Journals: Nature Biotechnology; IEEE Transactions on BME, CBB, PDS, BHI, Access; BMC Bioinformatics, Genomics; Nucleic Acids Research; Bioinformatics; Cancer Research; Ultrasound in Obstetrics and Gynecology
Reviewer of Funding: National Natural Science Foundation of China

PUBLICATIONS - 段君博SELECTED JOURNALS
L. Zhao, H. Liu, X. Yuan, K. Gao, and J. Duan, “Comparative study of whole exome sequencing-based copy number variation detection tools”, BMC Bioinformatics, vol. 21, no. 97, pp. 1–10, 2020.
X. Yuan, M. Gao, J. Bai, and J. Duan, “SVSR: a program to simulate structural variations and generate sequencing reads for multiple platforms”, IEEE/ACM Trans. Comput. Biol. Bioinform., vol. 17, no. 3, pp. 1082–1091, 2020.
X. Yuan, J. Bai, J. Zhang, L. Yang, J. Duan, Y. Li, and M. Gao, “CONDEL: Detecting copy number variation and genotyping deletion zygosity from single tumor samples using sequence data”, IEEE/ACM Trans. Comput. Biol. Bioinform., vol. 17, no. 4, pp. 1141–1153, 2020.
J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, and M. Wan, “A parallelizable framework for segmenting piecewise signals”, IEEE Access, vol. 7, no. 1, pp. 13217–13229, 2019.
J. Duan, J. Idier, Y.-P. Wang, and M. Wan, “A joint least squares and least absolute deviation model”, IEEE Signal Processing Letters, vol. 26, no. 4, pp. 543–547, 2019.
J. Duan, H. Zhong, B. Jing, S. Zhang, and M. Wan, “Increasing axial resolution of ultrasonic imaging with a joint sparse representationmodel”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,vol. 63, no. 12, pp. 2045–2056, 2016.
J. Duan, C. Soussen, D. Brie, J. Idier, M. Wan, and Y.-P. Wang, “Generalized lasso with under-determined regularization matrices”,Signal Processing, vol. 127, no. 2016, pp. 239–246, 2016.
J. Duan, M. Wan, H.-W. Deng, and Y.-P. Wang, “A sparse model based detection of copy number variations from exome sequencingdata”, IEEE Transactions on Biomedical Engineering, vol. 68, no. 3, pp. 496–505, 2016.
C. Soussen, J. Idier,J. Duan, and D. Brie, “Homotopy based algorithms for ?0-regularized least-squares”, IEEE Transactions on Signal Processing,vol. 63, no. 13, pp. 3301–3316, 2015.
H. Cao,J. Duan, D. Lin, Y. Y. Shugart, V. Calhoun, and Y.-P. Wang, “Sparse representation based biomarker selection for schizophreniawith integrated analysis of fMRI and SNPs”, NeuroImage, vol. 102, pp. 220–228, 2014.
J. Duan, H.-W. Deng, and Y.-P. Wang, “Common copy number variation detection from multiple sequenced samples”, IEEE Transactions on Biomedical Engineering, vol. 61, no. 3, pp. 928–937, 2014.
H. Cao,J. Duan, D. Lin, V. Calhoun, and Y.-P. Wang, “Integrating fMRI and SNP data for biomarker identification for schizophreniawith a sparse representation based variable selection method”, BMC Medical Genomics, vol. 6, no. S2, pp. 1–8, 2013.
J. Duan, J.-G. Zhang, H.-W. Deng, and Y.-P. Wang, “CNV-TV: A robust method to discover copy number variation from shortsequencing reads”, BMC Bioinformatics, vol. 14, no. 150, pp. 1–12, 2013. Featured byGenetic Engineering & Biotechnology News
J. Duan, J.-G. Zhang, H.-W. Deng, and Y.-P. Wang, “Comparative studies of copy number variation detection methods for nextgeneration sequencing technologies”, Plos One, vol. 8, no. 3, pp. e59128, 2013. Featured byBiocompare
J. Duan, C. Soussen, D. Brie, J. Idier, and Y.-P. Wang, “On LARS/homotopy equivalence conditions for over-determined LASSO”,IEEE Signal Processing Letters, vol. 19, no. 12, pp. 894–897, 2012.
P. Polyakov, C. Soussen,J. Duan, J. Duval, D. Brie, and G. Francius, “Automated force volume image processing for biologicalsamples.”, PLoS One, vol. 6, no. 4, pp. e18887, 2011.
C. Soussen, J. Idier, D. Brie, andJ. Duan, “From Bernoulli-Gaussian deconvolution to sparse signal restoration”, IEEE Transactions on SignalProcessing, vol. 59, no. 10, pp. 4572–4584, 2011.

CHAPTERS
J. Duan, X. Fu, J.-G. Zhang, Y.-P. Wang, and H.-W. Deng, “The next generation sequencing and applications in clinical research”, in Application of Clinical Bioinformatics, X. Wang, C. Baumgartner, D. Shields, H.-W. Deng, and J. S. Beckmann, Eds., chapter 4, pp. 83–113. Springer, 2016.
段君博，“基于稀疏表达的超声成像及GPU并行计算”，《计算生物医学超声学》第九章，科学出版社，2019.

COURSES - 段君博本科
《数字信号处理》
如何理解DFT？如何使用STFT分析DTMF？

研究生
《医学信号数字处理技术》
如何理解LASSO？如何理解PCA？

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