Kang Li
Carnegie Mellon University NSH 4106, 5000 Forbes Avenue, Pittsburgh, PA 15213
Email: kangli@cs.cmu.edu Mobile Phone: (412) 443-2351 Web: http://www.kangli.org

Objective

    To find a full-time position in research-oriented IT companies or universities. Areas of interest include computer vision, machine learning, image/video processing, biomedical image analysis, information retrieval and data mining.


Education

    Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 09/2004--05/2009 (expected)
    --   Thesis: Large-Scale Tracking of Cell Populations in Time-Lapse Microscopy Imagery 
    --   Receipient of the MICCAI Young Scientist Award 
    --   Adviser: Prof. Takeo Kanade 
    --   GPA: 4.0/4.0 

    M.S., Electrical and Computer Engineering, University of Iowa, Iowa City, IA 08/2002--08/2004
    --   Thesis: Efficient Optimal Net Surface Detection for Image Segmentation -- From Theory to Practice 
    --   Adviser: Prof. Milan Sonka 
    --   GPA: 4.2/4.0 

    B.S., Electrical Engineering, Nanjing University, Nanjing, China 09/1998--07/2002
    --   GPA: 3.6/4.0 (Top 3%) 


Experience

    Intel/CMU Summer Fellow, Intel Research Pittsburgh, Pittsburgh, PA 06/2008--08/2008
    --   Developed algorithms for stem cell behavior recognition and motion tracking 
    --   Design and parallel implementation of numerical optimization algorithms for microscopy image preconditioning

    Research Intern, Siemens Corporate Research, Princeton, NJ 05/2007--08/2007
    --   Developed methods to detect and segment liver tumors in 3-D CT images 
    --   Contributed algorithms to OncoCare -- a software product for general lesion segmentation and measurement 
    --   Supervised by Dr. Marie-Pierre Jolly 

    Research Assistant, Carnegie Mellon University 2004--Present
    --   Developped the world's first large-scale tracking system that can simutaneously track behaviors (motion, division and death) of thousands of stem cells in expanding cell populations (C++, Java, C#) 
    --   Lead multidisciplinary research group for the Cell Image Analysis Consortium 
    --   Coauthored three funded grant proposals (PITA, NIH, and Intel) 

    Research Assistant, College of Engineering Imaging Group, University of Iowa 2002--2004
    --   Developed patent-pending algorithms for multi-dimensional image segmentation; licensed to muitiple companies, including Carl Zeiss, Inc, VIDA Diagnostics, Inc., etc. 
    --   Developed software for bone/cartilage segmentation in 3-D CT images; commercialized by Medical Imaging Applications LLC. (C++, Python, OpenGL) 
    --   Developed multidimensional image analysis software libraries/tools used by the entire group (C++, Python) 

    Research Assistant, State Key Lab of Modern Acoustics, Nanjing University 2000--2002
    --   Implemented software for a real-time ultrasound cardiac imaging system (C++, DirectX, Assembly) 
    --   Developed digital image processing courseware with plug-in support (C++, MFC) 

    Part-Time Programmer, Nanjing Fujitsu Nanda Software Technology Co., Ltd., China 2000--2001
    --   Developed and documented the video testing module of a client-server hardware diagnosis application 


Professional Skills

    --   Programming/Scripting: C/C++ (10 yrs.), MATLAB (8 yrs.), Java (5 yrs.), Python (5 yrs.), C# (4 yrs.), Perl
    --   Cross-Platform Software Development: Qt, wxWidgets, .NET Framework, STL, Boost, OpenGL, Coin, OpenCV, VTK, ITK 
    --   Parallel/Distributed/GPGPU Computing: Hadoop, Map/Reduce, Maui/Torque, OpenMP, Intel TBB, CUDA 
    --   Language: English (fluent), Mandarin Chinese (native), Cantonese


Selected Honors/Awards

    --   Biography Listed in Marquis Who's Who in America (2009 ed.) 2009 
    --   Intel/CMU Summer Fellowship 2008 
    --   MICCAI Young Scientist Award (AU $500) 2007 
    --   Doctorate Research Fellowship, Carnegie Mellon University 2004--Present 
    --   Student Travel Grant (US $500), IEEE Conf. Computer Vision and Pattern Recognition 2004 
    --   Guanghua, Huawai, and People's Scholarships, Nanjing University 1998--2002 
    --   Excellent Student, Nanjing University 1998--2002


Selected Publications

    Journal Papers
    
       --   Kang Li, Mei Chen, and Takeo Kanade. Cell population tracking and lineage construction with spatiotemporal context. Medical Image Analysis, 12(5):546--566, 2008.
       --   Kang Li, Xiaodong Wu, Danny Z. Chen, and Milan Sonka. Optimal surface segmentation in volumetric images -- a graph-theoretic approach. IEEE Trans. Pattern Anal. Machine Intell., 28(1):119--134, 2006.
       
    Refereed Conference Papers
    
       --   Kang Li, Eric D. Miller, Mei Chen, Takeo Kanade, Lee E. Weiss, and Phil G. Campbell. Computer vision tracking of stemness. In Proc. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2008. Oral Presentation.
       --   Kang Li and Marie-Pierre Jolly. Simultaneous detection of multiple elastic surfaces with application to tumor segmentation in CT images. In Proceedings of SPIE, 2008.
       --   Kang Li, Mei Chen, and Takeo Kanade. Cell population tracking and lineage construction with spatiotemporal context. In Proc. Medical Image Computing and Comp.-Assisted Intervention, 2007. MICCAI Young Scientist Award.
       --   Kang Li and Takeo Kanade. Tracking and lineage construction using multiple-model dynamics filters and spatiotemporal optimization. In Proc. Int. Workshop Microscopic Image Analysis with Applications in Biology (MIAAB), 2007. Oral Presentation.
       --   Kang Li, Eric D. Miller, Lee E. Weiss, Phil G. Campbell, and Takeo Kanade. Online tracking of migrating and proliferating cells imaged with phase-contrast microscopy. In Proc. IEEE Conf. Comp. Vision and Patt. Recog. Workshop (CVPRW), 2006. Oral Presentation.
       --   Kang Li, Steven Millington, Xiaodong Wu, Danny Z. Chen, and Milan Sonka. Simultaneous segmentation of multiple closed surfaces using optimal graph searching. In Proc. Int. Conf. Information Processing in Medical Imaging (IPMI), 2005. Oral Presentation.
       --   Kang Li, Xiaodong Wu, Danny Z. Chen, and Milan Sonka. Globally optimal segmentation of interacting surfaces with geometric constraints. In Proc. IEEE Conf. Comp. Vision and Patt. Recog. (CVPR), 2004. Student Travel Grant Award.


Patents/Invention Disclosures

    --   U.S. Patent 20070058865: System and Methods for Image Segmentation in N-Dimensional Space 
    --   Provisional Patent: Real-Time Computer-Vision-Based Tracking of Stemness


Teaching Experience

    --   Teaching Assistant: 18-798 Image and Video Processing, Carnegie Mellon University 
    --   Teaching Assistant: 18-396 Signals and Systems, Carnegie Mellon University


Professional Activities

    --   Reviewer: Medical Image Analysis, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Pattern Recognition Letters, Image and Vision Computing, ICME, MICCAI, MIAAB 
    --   Student Member, IEEE, MICCAI, and SPIE