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Zhaozheng Yin
 Z. Yin
  

 

Assistant Professor
Ph.D., Pennsylvania State University, 2009

M.S., University of Wisconsin-Madison, 2005
M.S., Tsinghua University, 2002
B.S., Tsinghua University, 1999
Personal Web-Site: http://web.mst.edu/~yinz/

Areas of Interest 

I am interested in software and computing technologies that are theoretically-sound and practically-applicable in civilian, military, healthcare and multimedia applications. To that end, I am particularly interested in perception, sensor fusion, learning methods that can make these technologies as realities. I have been working on single or multi-camera visual information processing for detecting, tracking, and recognizing objects. These research activities lead to algorithms and software capable of understanding object behaviors in biomedical and natural scene images.

Biomedical. The data explosion by recording microscopy images during high-throughput experiments makes the labor-intensive manual analysis prohibitive. I have been working on a large-scale cell tracking system for stem cell engineering and discovery. The goal is to analyze time-lapse microscope images, recover the complete individual spatiotemporal histories of all the cells that undergo migration (movement) and proliferation (division), and output a comprehensive lineage tree of cell growth that records the history of divisions, movement trajectories, and change of characteristics (such as shape and appearance).

Natural scenes. Different types of sensors such as radar and color/thermal/depth cameras allow us to measure 3D scene structures, infer the identity and location of objects, and recognize the dynamic activities and events. An active system with robotic actuators can response to the perception based on the high-level cognition. My interests in these research topics include: designing algorithms capable of analyzing object motion and segmenting the object from the scene background; creating object representations and search techniques for persistent object tracking; and developing methods to model and recognize objects.

Selected Publications

Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li and Haohan Li, “Cell-Sensitive Microscopy Imaging for Cell Image Segmentation,” the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014

Yunxiang Mao, Haohan Li, and Zhaozheng Yin, “Who Missed the Class? – Unifying Multi-face Detection, Tracking and Recognition in Videos,” IEEE International Conference on Multimedia & Expo (ICME), 2014

Zhaozheng Yin, Chenglin Wu and Genda Chen, “Concrete Crack Detection through Full-filed Displacement and Curvature Measurements by Visual Mark Tracking: A Proof-of-Concept Study,” International Journal of Structure Health Monitoring. 13(2): 245-258. February 2014.

Hang Su, Zhaozheng Yin, Seungil Huh, and Takeo Kanade, “Cell Segmentation in Phase Contrast Microscopy Images via Semi-supervised Classification over Optics-related Features.” Medical Image Analysis. 17(7): 746-765, October 2013.

Zhaozheng Yin, Takeo Kanade, and Mei Chen, “Understanding the Phase Contrast Optics to Restore Artifact-free Microscopy Images for Segmentation.” Medical Image Analysis. 16(5): 1047-1062, July 2012.

Recent Grants

National Science Foundation, “CAREER: Microscopy Image Analysis to Aid Biological Discovery: Optics, Algorithms and Community”,  $488,148, 05/2014-04/2019.

National Science Foundation, “Infrastructure to Support Integrated Research and Education in Socially Intelligent Computing at Missouri S&T”, $281,680, 06/2012-05/2015.

US Dept. of Education (DOE), “A Doctoral Program in Security and Privacy in Mobile Social Network Space”, $527,700, 09/12-08/15.

Missouri Dept. of Transportation (MODOT), “Freeway Travel Time Estimation using Existing Fixed Traffic Sensors”, $77,362, 08/13-09/14.

Mid-America Transportation Center (MATC), “Freeway Travel Time Estimation using Existing Fixed Traffic Sensors - A Computer Vision Based Vehicle Matching Approach”, $38,681, 08/2013-12/2014.

Lockheed Martin, “Developing Active Trackers for Wide-Area Persistent Surveillance”, $35,000, 04/13-10/13.

Mid-America Transportation Center (MATC), “Develop a Robotic UAV Platform for Automated Bridge Inspection”, 08/13-12/14, $30,000

Mid-America Transportation Center (MATC), “A Quadcopter with Heterogeneous Sensors for Autonomous Bridge Inspection”, $26,388, 08/12-12/13. 

University of Missouri Research Board (UMRB), “Model-driven Microscopy Image Analysis for Stem Cell Discovery”, $36,000, 06/12-12/14.

Lockheed Martin, “Accurate Object Segmentation and Detection for Wide-Area Persistent Surveillance”, $35,000, 06/2012-12/2012.

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