Jianping Gao | Quality Control and Process Optimization | Best Researcher Award

Dr. Jianping Gao | Quality Control and Process Optimization | Best Researcher Award

Institute of Process Engineering, Chinese Academy of Sciences, China

👨‍🎓Professional Profile

Orcid Profile

👨‍🔬 Current Position

Dr. Jianping Gao is currently an engineer at the State Key Laboratory of Biochemical Engineering at the Institute of Process Engineering, Chinese Academy of Sciences. He specializes in biochemical engineering, with a focus on the development of advanced methods for collagen analysis, biological material degradation, and protein preparation technologies.

🎓 Education

Dr. Gao holds a Ph.D. in Biochemistry from the Institute of Process Engineering, Chinese Academy of Sciences (2024). He also earned his M.Sc. in Food Science (2011) and B.Sc. in Food Quality and Safety (2008) from Shandong Agricultural University.

💼 Professional Experience

Before joining the Institute of Process Engineering in 2015, Dr. Gao worked at Thermo Fisher (China), Inc. as a Mass Spectrometry Application Engineer from 2013 to 2015. His work there involved application development and technical support for mass spectrometry solutions. Since then, his research has focused on biochemical processes and food quality control methods.

🔬 Research Interests

Dr. Gao’s research covers several areas:

  1. Collagen Quality Control: Developing methods for analyzing the physicochemical properties and characteristics of collagen, with a particular focus on HPLC-MS/MS technology.
  2. Biomaterial Degradation: Investigating the degradation of collagen-based biomaterials and recombinant collagen in vivo, including materials like collagen sponges and membranes.
  3. Protein & Peptide Preparation Technologies: Focusing on large-scale preparation methods for animal and plant proteins, such as collagen, soy protein isolate, and wheat germ protein, using cutting-edge extraction and peptide preparation technologies.

🏆 Scientific Achievements

Dr. Gao has published over 40 academic papers, applied for 4 national invention patents, and won 2 provincial and ministerial-level scientific and technological awards. He has also contributed to 8 industry standards, including 1 ISO international standard, and played a role in the development of 2 standard samples. His projects include a sub-project under the National Key Research and Development Program and work funded by the Beijing Natural Science Foundation.

🛠️ Technical Skills

Dr. Gao’s technical expertise includes HPLC-MS/MS analysis, multi-stage countercurrent solid-liquid extraction, and MW homogenized peptide preparation, which are central to his research on collagen, proteins, and peptides.

👨‍🏫 Teaching & Mentorship

Dr. Gao has actively contributed to the academic community through teaching and mentoring roles at the Institute of Process Engineering, guiding students and young researchers in his specialized fields of biochemistry and biochemical engineering.

📖Top Noted Publications

Polyethylene Terephthalate Fiber Modified with Type I Collagen as a 3D Scaffold Material for Bioartificial Liver

  • Authors: Yang Li, Yang Zhang, Jianping Gao, Shuguang Liao, Guifeng Zhang
  • Journal: Applied Sciences
  • Year: 2024

Evaluating the Degradation Process of Collagen Sponge and Acellular Matrix Implants In Vivo Using the Standardized HPLC-MS/MS Method

  • Authors: Jianping Gao, Ye Ma, Zhenhu Guo, Yang Zhang, Fangyu Xing, Tianyang Zhang, Yingjun Kong, Xi Luo, Liming Xu, Guifeng Zhang
  • Journal: Separations
  • Year: 2023

Wu Shu-fei | Quality control | Women Researcher Award

Prof Dr. Wu Shu-fei | Quality control | Women Researcher Award

Prof Dr. Wu Shu-fei at Department of Statistics, Tamkang university, Taiwan

Profiles

Orcid Profile
Research Gate Profile

👩‍🔬 Academic Background

Shu-Fei Wu, Ph.D., is a Distinguished Professor in the Department of Statistics at Tamkang University, Taiwan, R.O.C. She earned her Ph.D. from the University of Georgia in Statistics, where she was mentored by Dr. Hubert J. Chen.

🎓 Education

Shu-Fei Wu, Ph.D., completed her doctoral studies in Statistics at the University of Georgia, under the mentorship of Dr. Hubert J. Chen. 📚

🔬 Professional Experience

She has managed 21 research projects funded by Taiwan’s National Science and Technology Council and has published 83 papers in SCI and EI journals. Dr. Wu is also the author of the textbook “Statistics and the Application of R Software”. She has guided two Ph.D. students and 34 graduate students to their degrees.

👩‍🎓 Student Mentorship

Under her guidance, two Ph.D. students and 34 graduate students have successfully received their degrees.

🔍 Research Interests

Her research focuses on industrial statistics, with a special emphasis on inferences related to process capability indices and lifetime performance indices.

🌍 International Contributions

Professor Wu has shared her expertise at 19 international seminars, presenting her research findings and advancing the field of statistics.

📖 Publication

Computational Analysis of the Comprehensive Lifetime Performance Index for Exponentiated Fréchet Lifetime Distribution Products with Multi-Components
    • Authors: Shu-Fei Wu; Hsueh-Chien Yeh
    • Journal: Symmetry
    • Year: 2024
The Assessment of the Overall Lifetime Performance Index of Chen Products with Multiple Components
    • Authors: Shu-Fei Wu; Yu-Lun Huang
    • Journal: Mathematics
    • Year: 2024
The Computational Testing Procedure for the Comprehensive Lifetime Performance Index of Burr XII Products in Multiple Production Lines
    • Authors: Shu-Fei Wu; Pei-Hsuan Kuo; Wen-Shuenn Deng
    • Journal: Mathematics
    • Year: 2024
Assessment of the Overall Lifetime Performance Index of Weibull Products in Multiple Production Lines
    • Authors: Shu-Fei Wu; Kuan-Yi Chiang
    • Journal: Mathematics
    • Year: 2024
The Testing Procedure for the Overall Lifetime Performance Index of Rayleigh Products in Multiple Production Lines Based on the Progressive Type I Interval Censored Sample
    • Authors: Shu-Fei Wu; Pei-Tzu Huang
    • Journal: Symmetry
    • Year: 2024
Experimental Design for Progressive Type I Interval Censoring on the Lifetime Performance Index of Chen Lifetime Distribution
    • Authors: Shu-Fei Wu; Meng-Zong Song
    • Journal: Mathematics
    • Year: 2023
One-Stage Multiple Comparisons of the Mean Lifetimes of k Treatments with the Average for Exponential Distributions under Heteroscedasticity
    • Authors: Shu-Fei Wu
    • Journal: Axioms
    • Year: 2023
Sample Size Determination for Two-Stage Multiple Comparisons for Exponential Location Parameters with the Average
    • Authors: Shu-Fei Wu
    • Journal: Mathematics
    • Year: 2023
Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
Interval Estimation for the Two-Parameter Exponential Distribution under Progressive Type II Censoring on the Bayesian Approach
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
Multiple Comparison Procedures for Exponential Mean Lifetimes Compared with Several Controls
    • Authors: Shu-Fei Wu
    • Journal: Mathematics
    • Year: 2022
Bayesian Interval Estimation for the Two-Parameter Exponential Distribution Based on the Right Type II Censored Sample
    • Authors: Shu-Fei Wu
    • Journal: Symmetry
    • Year: 2022
A Study on the Experimental Design for the Lifetime Performance Index of Rayleigh Lifetime Distribution under Progressive Type I Interval Censoring
    • Authors: Shu-Fei Wu; Tzu-Hsuan Liu; Yu-Hua Lai; Wei-Tsung Chang
    • Journal: Mathematics
    • Year: 2022
Experimental Design for the Lifetime Performance Index of Weibull Products Based on the Progressive Type I Interval Censored Sample
    • Authors: Shu-Fei Wu; Yu-Cheng Wu; Chi-Han Wu; Wei-Tsung Chang
    • Journal: Symmetry
    • Year: 2021