Cheng Chen

Summary

Research interests:

Artificial Intelligence Algorithms of Spectral Data Processing

Fusion in multispectral data

Education background:

Sep. 2014 - Jul. 2018      Bachelor, Communication Engineering in Xinjiang University 

Sep. 2018 - Jun. 2021        Master, Information and Communication Engineering in Xinjiang University

Publications:

Corresponding Author:

1 Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2021

2 Rapid detection of seven indexes in sheep serum based on Raman spectroscopy combined with DOSC-SPA-PLSR-DS model [J]. Spectrochimica Acta Part A, 2020,

3 Fourier transform infrared spectroscopy combined with deep learning and data enhancement for quickly diagnosing abnormal thyroid function    [J]. Photodiagnosis and Photodynamic Therapy, 2020

4 Application of PLSR in rapid detection of glucose in sheep serum [J]-- Optik, 2020

5 Discrimination of alcohol dependence based on the convolutional Neural Network [J]-- PLOS ONE, 2020

6 Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma based on Raman spectroscopy combined with multiple machine learning algorithms [J] -- Photodiagnosis and Photodynamic Therapy,2020

7 Detection of breast cancer of various clinical stages based on serum FT-IR spectroscopy combined with multiple algorithms [J] -- Photodiagnosis and Photodynamic Therapy,2020

8 Serum Raman spectroscopy combined with multiple algorithms for diagnosing thyroid dysfunction and chronic renal failure [J] -- Photodiagnosis and Photodynamic Therapy，2021

9 Classification of Multicategory Edible Fungi based on the Infrared Spectra of Caps and Stalks [J]. PLOS ONE, 2020

10 Human serum mid-infrared spectroscopy combined with machine learning algorithms for rapid detection of gliomas [J] -- Photodiagnosis and Photodynamic Therapy，2021

First Author:

1 Exploration research on the fusion of multimodal spectrum technology to improve performance of rapid diagnosis scheme for thyroid dysfunction[J]. Journal of Biophotonics, 2020

2 Raman spectroscopy combined with multiple algorithms for analysis and rapid screening of chronic renal failure[J]. Photodiagnosis and Photodynamic Therapy, 2020

3 Urine Raman spectroscopy for rapid and inexpensive diagnosis of chronic renal failure (CRF) using multiple classification algorithms[J]. Optik, 2020

4 Rapid, non-invasive screening of Keratitis based on Raman spectroscopy combined with multivariate statistical analysis [J]. Photodiagnosis and Photodynamic Therapy, 2020 (Co-first)

5 Serum Raman spectroscopy combined with a multi-feature fusion convolutional neural network diagnosing thyroid dysfunction [J]. Optik, 2020 (Co-first)

6 Research on application of classification model based on stack generalization in staging of cervical tissue pathological images [J]. IEEE ACCESS, 2021 (Co-first)

Positions

Education

Skills

Coding skill: Matlab; Python

Optical instrument sample-testing ability:
LabRAM HR Evolution Raman Spectrometer (Horiba); Portable Raman spectrometer; Infrared spectrometer

CV

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New opportunities

Open to new opportunities: Yes