Zhaozheng Yin

Associate Professor and St. Clair Fellow

Computer Science Department

  • yinz@mst.edu
  • Phone: (573) 341-6266
  • 320 Computer Science Building, Missouri University of Science and Technology, Rolla, MO 65409

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.

Publications

Li, Mingzhong, and Zhaozheng Yin. “Debugging Object Tracking by a Recommender System with Correction Propagation.” IEEE Transaction on Big Data 3 (2017): 429–442.

Thandu, Srinivas, Pratool Bharti, Sriram Chellappan, and Zhaozheng Yin. “Leveraging Multi-Modal Smartphone Sensors for Ranging and Estimating the Intensity of Explosion Events.” Pervasive and Mobile Computing 40 (2017): 185–204.

Li, Haohan, Yunxiang Mao, Zhaozheng Yin, and Yingke Xu. “A Hierarchical Convolutional Neural Network for Vesicle Fusion Event Classification.” Computerized Medical Imaging and Graphics 60 (2017): 22–34.

Jiang, Wenchao, and Zhaozheng Yin. “Indoor Localization with a Signal Tree.” Multimedia Tools and Applications 76 (2017): 20317–20339.

Jiang, Wenchao, and Zhaozheng Yin. “Combining Passive Visual Cameras and Active IMU Sensors for Persistent Pedestrian Tracking.” Journal of Visual Communication and Image Representation 48 (2017).

Ferral, Nolan, Kyara Holloway, Mingzhong Li, Zhaozheng Yin, and Chen Hou. “Heterogeneous Activity Causes a Nonlinear Increase in the Group Energy Use of Ant Workers Isolated from Their Social Environment.” Insect Science (2017).

Recent Grants

National Science Foundation (NSF), CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management, $505,287, 2/2017-1/2020.

National Science Foundation(NSF), CAREER: Microscopy Image Analysis to Aid Biological Discovery: Optics, Algorithms and Community, $488,148 + $16,000 (REU Supplement), 05/2014-04/2019.

National Science Foundation(NSF), EPSCoR Year 1, 2019

National Science Foundation(NSF), EPSCoR Year 2, 2019

National Science Foundation(NSF), EPSCoR Year 1, 2019

University of Nebraska, Automated Image, 2018

National Science Foundation(NSF), 12 Sigma Tech: Lung Segmentation, $44, 215, 4/2018-3/2019 (PI)

National Science Foundation(NSF), NRI: INT: COLLAB: Manufacturing USA: Intelligent Human-Robot Collaboration for Smart Factory, $667,656, 9/18-8/22 (PI)

Research Interests:

Computer Vision, Biomedical Imaging, Machine Learning, Signal Processing, and Robotics.

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