Two Research Assistant Positions:
I am looking for two self-motivated graduate students to join my research group in Fall 2017 to work in the field of Biomedical Image Analysis, Computer Vision and Multimedia. Good programming experience and solid math background are required. A master degree with related research experience in vision, learning and biomedical imaging is a plus.

 

Current Ph.D. students

LiangHan

Liang Han

Ph.D. student, Computer Science, 09/2015 – present

M.S., School of Mathematics. Shandong University, 2014

B.S., School of Mathematics. Shandong University, 2011

Student_LHH

Haohan Li

Ph.D. student, Computer Science, 01/2016-12/2018 (Expected)

M.S., Computer Science, Missouri University of Science and Technology, 2015

B.S., South China University of Technology, 2011

 

Papers

1. Haohan Li, Yunxiang Mao, Zhaozheng Yin, and Yingke Xu, “A Hierarchical Convolutional Neural Network for Vesicle Fusion Event Classification,” Journal of Computerized Medical Imaging and Graphics. Elsevier. 2017. Accepted.

2. Haohan Li, Zhaozheng Yin and Yingke Xu, “A Deep Learning Framework for Automated Vesicle Fusion Detection,” IEEE International Symposium on Biomedical Imaging (ISBI), 2017.

3. Haohan Li, Zhaozheng Yin and Yingke Xu, “A Gaussian Mixture Model for Automated Vesicle Fusion Detection and Classification,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop on Computational Methods for Molecular Imaging (CMMI), 2015.

Student_MYY

Yunxiang Mao

Ph.D. candidate, Computer Science, 09/2012 - 05/2017 (Expected)

B.S., Electrical Engineering, University of Electronic Science and Technology of China, 2012


Papers

1. Yunxiang Mao and Zhaozheng Yin, A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images,the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

2. Yunxiang Mao, Zhaozheng Yin and Joseph M. Schober, “A Deep Convolutional Neural Network Trained on Representative Samples for Circulating Tumor Cell Detection,” IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

3. Yunxiang Mao, Zhaozheng Yin and Joseph M. Schober, “Iteratively Training Classifiers for Circulating Tumor Cell Detection,” IEEE International Symposium on Biomedical Imaging (ISBI), 2015.

4. Yunxiang Mao and Zhaozheng Yin, “Training a Scene-Specific Pedestrian Detector Using Tracklets,” IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.

5. 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.

 

Award and Honor

1. Best Poster Award in the research poster competition, Computer Science, April 2016

2. NSF I-Corps Entrepreneurial Lead, 2015.

3. ICME Doctoral Consortium participant, July 2014.

4. The Best Poster Award in the Computer Science research poster competition, April 2014.

5. The 2nd Best Poster Award in the ISC poster competition, November 2013.

 

Md. Moniruzzaman

Ph.D. student, Computer Science, 01/2017 - 12/2021 (Expected)

B.S., Electronics and Communication Engineering, Khulna University of Engineering & Technology (KUET), Bangladesh 2014

 

Current M.S. students:

Wei Luo

M.S. student, Computer Science, 09/2016 – 05/2018 (Expected)

B.S., Software Engineering, Northeast University, China, 2016

 

Graduated Ph.D. students:

student_LMZ

Mingzhong Li

First job position: Google

Ph.D., Computer Science, Missouri S&T, 09/2012 – 05/2016

B.S., South China University of Technology, 2011

Papers

1. Mingzhong Li and Zhaozheng Yin, Debugging Object Tracking by a Recommender System with Correction Propagation,IEEE Transaction on Big Data. Minor revision.

2. Nolan Ferral, 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.

3. Mingzhong Li and Zhaozheng Yin, “Cell Segmentation using Stable Extremal Regions in Multi-exposure Microscopy Images,” IEEE International Symposium on Biomedical Imaging (ISBI), 2016.

4. Mingzhong Li and Zhaozheng Yin, “Co-restoring Multimodal Microscopy Images,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015

5. Mingzhong Li and Zhaozheng Yin, “Debugging Object Tracking Results by a Recommender System with Correction Propagation,” Asian Conference on Computer Vision (ACCV) workshop on User-Centered Computer Vision (UCCV), 2014.

6. Mingzhong Li, Zhaozheng Yin, Matthew Thimgan, and Ruwen Qin, “Track Fast-moving Tiny Flies by Adaptive LBP Feature and Cascaded Data Association,” IEEE Intl. Conf. on Image Processing (ICIP), 2013.

 

Award and Honor

1. The 3rd Best Poster Award in the research poster competition, Computer Science, April 2016

2. The 3rd Best Poster Award in the Computer Science research poster competition, April 2015

3. The second Best Paper Award in the ISC graduate research symposium, April 2013

Student_JWC

Wenchao Jiang

First job position: Google

Ph.D., Computer Science, Missouri S&T, 01/2013 – 01/2017

B.S., Electronic Information Engineering, University of Electronic Science and Technology of China, 2012

 

Papers

1. Wenchao Jiang and Zhaozheng Yin, Indoor Localization with a Signal Tree,Multimedia Tools and Applications. Accepted.

2. Wenchao Jiang and Zhaozheng Yin, “Combining Passive Visual Cameras and Active IMU Sensors for Persistent Pedestrian Tracking,” Journal of Visual Communication and Image Representation. Elsevier. DOI: 10.1016/j.jvcir.2017.03.015. 2017.

3. Wenchao Jiang and Zhaozheng Yin, Seeing the Invisible in Differential Interference Contrast Microscopy Images,Medical Image Analysis (MedIA). 34: 65-81. December 2016.

4. Wenchao Jiang and Zhaozheng Yin, “Human Tracking using Wearable Sensors in the Pocket,” IEEE Global Conference on Signal & Information Processing (GlobalSIP), 2015.

5. Wenchao Jiang and Zhaozheng Yin, “Human Activity Recognition using Wearable Sensors by Deep Convolutional Neural Networks,” ACM Multimedia Conference (ACMMM), 2015.

6. Wenchao Jiang and Zhaozheng Yin, “Combining Passive Visual Cameras and Active IMU Sensors to Track Cooperative People,” the 18th International Conference on Information Fusion (FUSION), 2015.

7. Wenchao Jiang and Zhaozheng Yin, “Indoor Localization by Signal Fusion,” the 18th International Conference on Information Fusion (FUSION), 2015.

8. Wenchao Jiang and Zhaozheng Yin, “Restoring the Invisible Details in Differential Interference Contrast Microscopy Images,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.

9. Wenchao Jiang, Haohan Li, Zhaozheng Yin and Yaojan Wu, “Vehicle Reidentification in Low-Resolution Videos for Travel Time Estimation,” The Transportation Research Board (TRB) 94th Annual Meeting, 2015

 

Award and Honor

1. Young Scientist Award Runner-Up, MICCAI 2015

2. CS Academic Achievement Award, 2015

3. CS Academic Achievement Award, 2014

IMG_5412

Srinivas Thandu

First job position: Object Computing Inc.

Ph.D., Computer Science, Missouri S&T, 01/2012 – 05/2016

(Dr. Sriram Chellappan as the Co-Advisor)

 

Paper:

1. Srinivas Thandu, Pratool Bharti, Sriram Chellappan, Zhaozheng Yin, Leveraging Multi-modal Smartphone Sensors for Ranging and Estimating the Intensity of Explosion Events, Pervasive and Mobile Computing. Minor revision.

2. Srinivas Thandu, Sriram Chellappan and Zhaozheng Yin, “Ranging Explosion Events Using Smartphones,” the 11th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015.

 

Award and Honor:

1. The 2nd Best Paper Award in the Intelligent System Center graduate research symposium, Missouri S&T, April 2016

 

Graduated M.S. students:

Student_LHH

Haohan Li

M.S., Computer Science, Missouri S&T, 09/2013 – 05/2015

B.S., South China University of Technology, 2011

 

Paper

1. Haohan Li, Zhaozheng Yin and Yingke Xu, “A Gaussian Mixture Model for Automated Vesicle Fusion Detection and Classification,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop on Computational Methods for Molecular Imaging (CMMI), 2015.

 

Graduate Undergraduate students:

Student_Ben

Benjamin Ryherd

Mechanical Engineering

Undergraduate student, 2013-2015

 

Chris Seto

Computer Science

Undergraduate student, 2012-2016