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JIA Peng

Time:Mar 5, 2019 04:24 PM Author: Click:

Chinese Name

Jia Peng

Professional Title

Associate Professor

Degree

Doctor

Master Supervisor

Instrumentation, Control (Academic Master Degree)

Electronic Information (Optical Engineering, Control Engineering)(Professional Master Degree)

Doctoral Supervisor

Optical Engineering

Email

robinmartin20@gmail.com;jiapeng@tyut.edu.cn

Department

Instrumentation

Research Orientation:

1. Smart Optical Instrumentation

2.Application ofDeep Learning and Machine Learning in image and signal processing

Lectured CoursesOptical DesignBachelor

Personal experience:

Education Experience:

September 2004July 2008, Nanjing University of Science and Technology, Optical and electronical engineering, Undergraduate /Batcheler

September 2008July 2013, Nanjing University, Astronomy and Space Science, Postgraduate / Doctor of Engineering

Work Experience:

July 2013September 2016, Taiyuan University of Technology, School of Physics and Optoelectronic Engineering, Teacher

September 2016 — October 2018, Durham University, Department of Physics, Post-doc Researcher

November 2018 — Now, Taiyuan University of Technology, School of Physics and Optoelectronic Engineering, Teacher

Research Project

1.Jia Peng, Smart observation net for space debris (Project number: 201901D211081), Shanxi Science and Technology Department, 30,000, 2020.01-2022.12.

2.Jia Peng, Smart optical instrumentation and its application in higher education (Project number: DC19000002180), Research Project Supported by Shanxi Scholarship Council of China, 30,000, 2020.01-2022.12

3.Jia Peng, Application of interferometer in exo-planet search, Research Project Supported by Nanjing University, 250,000, 2019.11-2020.11

Scientific Achievements

Paper

1.Jia P*, Xiyu Li, Zhengyang Li, et al.Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder [J]. Monthly Notices of the Royal Astronomical Society, 2020, 480(2): 2466-2474. (IF=5.194)

2.Jia P*, Huang Y , Cai B , et al.Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features[J]. APJL 2019, 881(2) :L30. (IF=8.70)

3.Huang Y ,Peng Jia*, Cai D , et al.Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features[J]. Solar Physics, 2019, 294(9):133. (IF=2.6)

4.Jia P*, Zhao Y , Xue G , et al.Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks[J]. AJ 2019, 157(250) :1538-1881. (IF=5.497)

5.Jia P*, Osborn J, Kong L, et al. Modelling synthetic atmospheric turbulence profiles with temporal variation using Gaussian mixture model[J]. Monthly Notices of the Royal Astronomical Society, 2018, 480(2): 2466-2474. (IF=5.194)

6.Jia P*, Alastair Basden, James Osborn. Ground Layer Adaptive Optics System Modelling for the Chinese Large Optical/Infrared Telescope [J]. Monthly Notices of the Royal Astronomical Society, 2018, 479 (1): 829-843. (IF=5.194)

7.Wang W,Jia P*, Cai D, et al.Automated clustering method for point spread function classification[J]. Monthly Notices of the Royal Astronomical Society, 2018, 478(4): 5671-5682. (IF=5.194)

8.Sun R*,Jia P*. Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris[J]. Publications of the Astronomical Society of the Pacific, 2017, 129(974):044502. (IF=3.409)

9.Jia P*, Sun R , Wang W , et al. Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes[J]. Monthly Notices of the Royal Astronomical Society, 2017, 470(2):1950. (IF=5.194)

10.Peng, Jia*, Dongmei, et al.Real-time generation of atmospheric turbulence phase screen with non-uniform fast Fourier transform.[J]. Monthly Notices of the Royal Astronomical Society, 2015. (IF=5.194)

11.Peng J*, Dongmei C , Dong W , et al.Simulation of atmospheric turbulence phase screen for large telescope and optical interferometer[J]. Monthly Notices of the Royal Astronomical Society(4):4. (IF=5.194)

12.Peng J*, Dong, et al.Parallel blind deconvolution of astronomical images based on the fractal energy ratio of the image and regularization of the point spread function[J]. Experimental astronomy, 2014. (IF=1.349)

Honors and awards

2018, The Sanjin Talent of Shanxi


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