Zheng Liu Ph.D. Candidate
Address: 104 South Wright Street
Urbana, Illinois, 61801, USA
E-mail: zliu86 [at] illinois [dot] edu
Resume: latest version
I am a Ph.D. student in the Radiological Instrumentation Lab at the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois at Urbana-Champaign. My doctoral research has been focused on designing novel sensor network systems for background radiation monitoring and radiation source detection. I am also interested in deep learning and the interdisciplinary research between data science and radiation detection. Please check out the Projects page for more details about my research, and the Blog where I document my hobby projects.
Education
Ph.D. Candidate in Nuclear Engineering, Aug 2014 - May 2019 (expected)
Department of Nuclear, Plasma, and Radiological Engineering, UIUC
M.S. in Statistics, Spring 2016 - May 2018
Department of Statistics, University of Illinois at Urbana-Champaign
M.S. in Nuclear Engineering, Aug 2014 - May 2016
Department of Nuclear, Plasma, and Radiological Engineering, University of Illinois at Urbana-Champaign
B.S. in Nuclear Engineering, Sep 2010 - May 2014
School of Nuclear Engineering, University of Science and Technology of China
Experiences
Worked on a cross-functional team with data scientists and engineers to develop a graph clustering product for record linkage and identity resolution.
- Worked on design, implementation, and evaluation of sensor network systems for background radiation monitoring and radiation source detection.
- Worked on object localization for automated preclinical stereotactic neurosurgery platform using convolutional neural networks and depth-camera.
- NPRE 451 - NPRE Laboratory, Spring 2015
- NPRE 446 - Radiation Interaction with Matter, Fall 2014
Publications
- Zheng Liu, and Shiva Abbaszadeh, "Double Q-Learning for Radiation Source Detection", Sensors 19.4 (2019):960. [project page][pdf]
- Zheng Liu, Shiva Abbaszadeh, and Clair J. Sullivan, "Spatial-temporal modeling of background radiation using mobile sensor network data", PLoS ONE 13.10 (2018): e0205092.[project page][pdf]
- Zheng Liu, and Clair J. Sullivan, "Prediction of weather induced background radiation fluctuation with recurrent neural networks." Radiation Physics and Chemistry (2018), ISSN 0969-806X. [project page][pdf]
- Zheng Liu, Mojtaba Taherisadr, Hemmings CH. Wu, and Shiva Abbaszadeh, “Precision Robotic-Assisted Implantation for Preclinical Stereotactic Neurosurgery.” J Appl Mech Eng, vol. 6, pp:279, (2017). [project page]
Conference presentations
- Zheng Liu, Gregory Romanchek, and Shiva Abbaszadeh. "Automated drones for radiation source searching with reinforcement learning." Symposium on Radiation Measurements and Applications (2018). [project page][pdf]
- Zheng Liu, Hemmings Wu, and Shiva Abbaszadeh. "Automated location detection of injection site for preclinical stereotactic neurosurgery through fully convolutional network." Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 1057623 (2018). [project page][pdf]
- Zheng Liu, and Clair J. Sullivan, "Prediction of weather induced background radiation fluctuation with recurrent neural networks." 10th International Topical Meeting on Industrial Radiation and Radioisotope Measurement Applications (2017) [project page]
- Zheng Liu, and Clair J. Sullivan, "Urban source detection with mobile sensor networks enhanced with machine learning algorithms", 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD), Strasbourg, (2016).[pdf]