Faculty and Staff Profiles

Ching-Chi Yang
Asst Professor, Mathematics
Email: cyang3@memphis.edu
Office Location: 378 Dunn Hall
Profile

Dr. Ching-Chi Yang is an Assistant Professor of Mathematical Sciences at the University of Memphis. He received a doctoral degree in statistics from The Pennsylvania State University in 2019. His primary interests include response surface methodology, interval data, statistical learning, and dimensional analysis. His research projects have covered a range of topics such as using response surface methodology to design a motorcycle, determining the optimal treatment for diabetic patients, and predicting stock prices via stock research reports.

For more information, please visit the website, https://blogs.memphis.edu/chingchiyang/.



Education
  • Ph.D. Statistics - The Pennsylvania State University - 2019

Work Experience
  • Assistant Professor , Mathematics - The University of Memphis - 2019 -
  • Graduate Instructor, Research Assistant, Teaching Assistant, Statistics - The Pennsylvania State University - 2013 - 2019
  • Teaching assistant, Statistics - The University of South Florida - 2012 - 2013
Honors/Awards
  • 2018 Fall Technical Conference Student Scholarship - American Society for Quality - 2018
  • Jack and Eleanor Pettit Scholarship in Science - The Pennsylvania State University - 2016

Teaching Experience
  • MATH 7/8636 Adv. Statistical Learning II - The University of Memphis
  • MATH 7/8635 Adv. Statistical Learning I - The University of Memphis
  • MATH 7654 Inference Theory - The University of Memphis
  • MATH 4/6686 Statistical Learning II - The University of Memphis
  • MATH 4/6685 Statistical Learning I - The University of Memphis
  • MATH 4/6637 Stat Analysis/App Big Data - The University of Memphis
  • MATH 4/6636 Intro Statistical Theory - The University of Memphis
  • MATH 4/6635 Introduction to Probability Theory - The University of Memphis
  • MATH 4/6614 Probability/Statistics - The University of Memphis

Support
  • Artificial Intelligence and Machine Learning Solutions for Supply Chain Risk Management: A Data-Driven Approach - UofM Next Generation Supply Chain Technologies and Innovation Challenge - 15000 - 2024-2025

Outreach
  • Predictors for Language Development and Autism Spectrum Disorder in Infants - Edina R Bene, Tanjala Trine Gipson, David Kimbrough Oller, Ching-Chi Yang - 2024 -  
  • Open Educational Resources for Actuarial Science - Don Hong, Vajira Manathunga, Jennifer Yantz, Ching-Chi Yang - 2024 -  
  • Development of Wiper Linkage Design and Optimization Software - Tsai-Jung Chen and Ching-Chi Yang - 2024 - - Advance Materials Corporation - Taiwan
  • Analysis of the Impact of Vehicle Body Geometric Parameters on Aerodynamic Drag - Tsai-Jung Chen and Ching-Chi Yang - 2023 -  
  • Flow field model to control the furnace temperature - Tsai-Jung Chen, Ying-Ji Hong, and Ching-Chi Yang - 2021 -  
  • HIV patients’ reading ability and comprehension with medical-related instructions - Sachiko Terui, Joy Goldsmith, Lih-Yuan Deng, Xinhua Yu, and Ching-Chi Yang - 2020 - 2023 -  
  • Emotion diffusion effect of official COVID-19 posts - Haiyan Yu and Ching-Chi Yang - 2020 - 2022 -  
  • Epigenetic clock research - Zhaoming Wang, Lih-Yuan Deng, Zhenghong Li, and Ching-Chi Yang - 2020 - 2021 -  
Service
  • The University of Memphis - Recruitment Committee for Statistics/Data Science Position - 2023 - present
  • The University of Memphis - One of the founding members of the Data Science Center - 2022 - present
  • The University of Memphis - Presentations for the MATH 3410/3411 honors seminar - 2022 - present
  • The University of Memphis - Organize colloquia/seminars for the Math department - 2021 - present
  • The University of Memphis - Webmaster for the department website (MSCI) - 2020 - present
  • The University of Memphis - Area Chair of the Memphis DATA Conference - 2020 - present
  • The University of Memphis - Provided questions and Graded Masters/Ph.D. Qualifying Exams - 2019 - present
  • The University of Memphis - Graduate committee (Ph.D. and Masters) in the stat group - 2019 - present
  • The University of Memphis - Webmaster for the 6th International Conference on Design of Experiments (ICODOE) - 2023
  • The University of Memphis - Local arrangement committee for the Mid-South DATA Conference 2023 - 2023
  • The University of Memphis - Organize a panel for the Memphis DATA Conference 2022 - 2022
  • The University of Memphis - Organize seminars for the data science cluster - 2022
  • The University of Memphis - Create a news blog for the Math department - 2021 - 2022
  • The University of Memphis - Judge for the West Tennessee ASA chapter Research Symposium - 2021
  • The University of Memphis - Graduate Fair - 2019 - 2021
  • The 3rd edition of Statistical Inference by George Casella and Roger L. Berger. - Reviewer - 2023
  • ICSS 2022 (2022 INFORMS Conference on Service Science) - Program committee - 2022
  • Elsevier Computer Speech & Language journal - Reviewer - 2022
  • Stat (https://onlinelibrary.wiley.com/journal/20491573) - Reviewer - 2020
  • Journal of Statistical Computation and Simulation - Reviewer - 2020
Journal Articles

  • Yang, C. C., & Lin, D. K. J. (under revision) “Response Surface Methodology for Interval Response”. Journal of Quality Technology.

  • Deng, L. Y., Winter, B. R., Horng Shiau, J. J., Horng-Shing Lu, H., Kumar, N., & Yang, C. C. (2024). Efficient spectral tests for multiple recursive generators. Communications in Statistics-Theory and Methods, 1-16.

  • Yu, H., Yang, C. C., & Yu, P. (2023). Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients. European Journal of Operational Research, 308(3), 1355-1364. Impact Factor: 6.4

  • Terui, S., Goldsmith, J. V., Huang, J., Yang, C. C., Yu, X., Deng, L. Y., & Wicke, R. (2023). Validating the Communicating Care Needs Tool for HIV (CCNT-HIV). Journal of Health Communication, 28(12), 805-814. Impact Factor: 4.4

  • Deng, L. Y., Yang, C. C., Bowman, D., Lin, D. K., & Lu, H. H. S. (2023). Big Data Model Building Using Dimension Reduction and Sample Selection. Journal of Computational and Graphical Statistics, 1-13. Impact Factor: 3.3

  • Deng, L. Y., Winter, B. R., Shiau, J. J. H., Lu, H. H. S., Kumar, N., & Yang, C. C. (2023). Parallelizable efficient large order multiple recursive generators. Parallel Computing, 103036. Impact Factor: 0.983

  • Yu, H., Yang, C. C., Yu, P., & Liu, K. (2022). Emotion diffusion effect: Negative sentiment COVID-19 tweets of public organizations attract more responses from followers. PloS one, 17(3), e0264794. Impact Factor: 3.7

  • Hasan, M., Deng, L. Y., Sabatini, J., Bowman, D., Yang, C. C., & Hollander, J. (2022). Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. In Proceedings of the 15th International Conference on Educational Data Mining (p. 811).

  • Yang, C. C., & Lin, D. K. (2021). A note on selection of basis quantities for dimensional analysis. Quality Engineering, 33(2), 240-251. Impact Factor: 2.286

  • Pasiah, K. B., Deng, L. Y., Bowman, D., & Yang, C. C. (2021, July). Searching for Large-Order Multiple Recursive Generators. In 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. Impact Factor: 1.69

  • Deng, L. Y., Bowman, D., Yang, C. C., & Lu, H. H. S. (2021, July). Extending RC4 to construct secure random number generators. In 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. Impact Factor: 1.69

  • Mainali, S., Garzon, M., Venugopal, D., Jana, K., Yang, C. C., Kumar, N., ... & Deng, L. Y. (2021). An information-theoretic approach to dimensionality reduction in data science. International Journal of Data Science and Analytics, 12, 185-203. Impact Factor: 2.4

  • Yang, C. C., & Lin, D. K. (2019). Stochastic lead time with order crossover. Quality Technology & Quantitative Management, 16(5), 575-587. Impact Factor: 2.8

Presentations

  • "Big Data Model Building using Dimension Reduction and Sample Selection". (2024). St. Jude Children's Research Hospital, Memphis, TN.

  • "Response Surface Methodology for Interval Response". (2023). the Mississippi State University, Starkville, MS.

  • "Selection of Basis Quantities for Dimensional Analysis". (2022). the Western Tennessee Chapter of the American Statistical Association, Memphis, TN.

  • "Extending RC4 to Construct Secure Random Number Generators". (2021). Annual Modeling and Simulation Conference (ANNSIM), Fairfax, VA.

  • "Information Signals of Text and Quantitative Measures in Financial Analyst Reports". (2020). Yuanta Financial Holdings Co., Ltd., Taiwan.

  • "Response Surface Methodology in Dimensional Analysis". (2020). DAE: Design and Analysis of Experiments Conference, Knoxville, TN.


Appendix A - Teaching Experience
  • MATH 7654 - Inference Theory
  • MATH 4/6636 - Introduction to Statistical Theory
  • MATH 7/8636 - Adv. Statistical Learning II
  • MATH 4/6635 - Introduction to Probability Theory
  • MATH 7/8635 - Adv. Statistical Learning I
  • MATH 4/6686 - Statistical Learning II
  • MATH 4/6685 - Statistical Learning I
  • MATH 4/6635 - Introduction to Probability Theory
Appendix B - Student Advising/Mentoring

  • Letters of recommendation since 2019 for graduate and undergraduate students:

    • Ethan James Hawkins. Result: secures the position as the data scientist at the National Security Agency.
    • Jeffrey Black for Santa Fe Institute UCR Program. His first related job: a data scientist at St. Jude Children's Research Hospital.
    • Others related to the internal recruiting, e.g.,
      • Alexander Michael Williams for the Accelerated BS/MS Program.
      • Harrison Lee Whitworth and Nicholas Harper Pacente for Ph.D. Program

  • 2023

    • Dannie Dong (high school student) with biweekly meetings. We submitted a poster presentation “Predicting Tropical Cyclone Paths through Learning from Existing Methods” at the 2023 MAA MathFest and won an Outstanding-Posters award.
    • Doctoral committee member for
      • Allison Pavelchik Plaxco (Biostat)
      • Joseph Kipling Handwerker (Biostat)
      • Sahil Nokhwal (Computer Science)

  • 2022

    • Mustapha Kure (Master's student): Schedule biweekly meetings to advise in the preparation of his master's dissertation.
    • John McCurdy (Ph.D. student): Schedule weekly meetings to discuss research topics such as developing new random number generators and creating R-packages.
    • Mahbubul Hasan (Ph.D student): Schedule weekly meetings in early 2022 to advise his project and conference presentations.

  • 2021

    • Doctoral committee member for
      • Farnaz Solatikia (Statistics)
      • John Appiah Kubi (Statistics)
      • Kenneth Bobvah Pasiah (Statistics)
      • Zhenghong Li (Statistics)
      • Tyler Moore (Computer Science)
    • Master’s committee member, Ngan Thi Phuong Pham (Statistics)
Appendix C - Research/Scholarship/Creative Activities

  • Under preparation:

    • Yang, C.C., & Lin, D.K.J. “Response Surface Methodology via Dimensional Analysis” to be submitted to Technometrics.
    • Yang C.C. & Yu, H. “Stratified Treatment Rules with Mean Response Prediction for Rare Events in Reducing Hospital Readmission Rates of Diabetic Patients”, to be submitted.
    • Yu, H. & Yang, C.C. “Optimal Convolution Filter with Multiple Resolution Modelling”, to be submitted.
    • Chen, T. J., & Yang, C. C., “Analysis of the Impact of Vehicle Body Geometric Parameters on Aerodynamic Drag”. Under preparation.
Appendix E - Outreach

  • 2024:

    • Autism spectrum disorder in children study with David Kimbrough Oller, Edina R Bene, and Tanjala Trine Gipson (UTHSC).
    • Operation data in Hospital-related research with Haiyan Yu at the Center for Data and Decision Sciences, Chongqing University of Posts and Telecommunications.

  • 2023:

    • HIV patients’ reading ability and comprehension with medical-related instructions with Schiko Terui at the University of Georgia, Joy Goldsmith, Lih-Yuan Deng, and Xinhua Yu
    • Development of Wiper Linkage Design and Optimization Software with Tsai-Jung Chen at the National PingTung University of Science & Technology.
    • Operation data in Hospital-related research with Haiyan Yu at the Center for Data and Decision Sciences, Chongqing University of Posts and Telecommunications.

  • 2022:

    • Consultant for statistical method in obtaining the optimal wind resistance of a motorcycle with Tsai-Jung Chen at the National PingTung University of Science & Technology.
    • Operation data in Hospital related research with Haiyan Yu at Center for Data and Decision Sciences, Chongqing University of Posts and Telecommunications.
    • Random Integrated Subdata Ensemble (RISE) method is a novel approach to build a more efficient big data model such as variable selections and/or model building with Lih-Yuan Deng, Hongmei Zhang, Bernie J Daigle, and Xichen Mou.
  • 2021:
    • Epigenetic clock research with Zhaoming Wang at St. Jude Children’s Research Hospital.
    • Covid-19 related research with Haiyan Yu at Center for Data and Decision Sciences, Chongqing University of Posts and Telecommunications.
    • Consultant for statistical method in flow field model to control the furnace temperature with Tsai-Jung Chen at The National PingTung University of Science & Technology and with a potential corporation with Ying-Ji Hong at The National Cheng Kung University.
  • 2020:
    • HIV patients’ reading ability and comprehension with medical-related instructions with Schiko Terui, Joy Goldsmith, Lih-Yuan Deng, and Xinhua Yu
    • Covid-19 related research with Haiyen Yu at Center for Data and Decision Sciences, Chongqing University of Posts and Telecommunications.