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Allison Jones-Farmer

Van Andel Professor of Business Analytics & Professor & MSBA Faculty Director & Acting Chair

Information Systems & Analytics


Allison Jones-Farmer

Contact Information

Office Hours

  • TR 130-230
  • By Appointment at this link:

Links

  • [PDF]*

* Accessible version of PDF available upon request.

Profile

Academic Background

  • Ph.D. University of Alabama, Applied Statistics, 1997
  • M.S. University of Alabama, Applied Statistics, 1996
  • B.S. Birmingham-Southern College, Mathematics, 1990

Academic & Professional Experience

  • Van Andel Professor, 黑料社区 (2014-present)
  • C&E Smith Professor, Auburn University (2011-2014)
  • Associate Professor, Auburn University (2005-2013)
  • Assistant Professor, Auburn University (2002-2005)
  • Assistant Professor, University of Miami (1997-2002)

Recent Publications

  • ANDERSON鈥怌OOK, C. M., LU, L., GRAMACY, R. B., MONTGOMERY, D. C., WOODALL, W. H., JONES-FARMER, L. (2024). Publishing an applied statistics paper: Guidance and advice from editors. Quality and Reliability Engineering International, 40 (4), 1918-1934. doi:10.1002/qre.3501.
  • MEGAHED, F., CHEN, Y.-J., RIGDON, S., KRZYWINSKI, M., ALTMAN, N., JONES-FARMER, L. (2024). Comparing classifier performance with baselines. Nature Methods, 21, 546鈥548. doi:10.1038/s41592-024-02234-5.
  • COLOSIMO, B. M., MEGAHED, F., PAYNABAR, K., RANJAN, C., WOODALL, W., JONES-FARMER, L. (2024). Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics, 1鈥24. doi:10.1080/00401706.2024.2327341.
  • ZWETSLOOT, I. M., WOODALL, W. H., JONES-FARMER, L. (2024). Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering, 36 (3), 487-499. doi:10.1080/08982112.2023.2238049.
  • MEGAHED, F., CHEN, Y.-J., ZWETSLOOT, I. M., KNOTH, S., MONTGOMERY, D. C., JONES-FARMER, L. (2024). Introducing ChatSQC: Enhancing statistical quality control with augmented AI. Journal of Quality Technology, 1-24. doi:10.1080/00224065.2024.2372328.
  • MEGAHED, F., CHEN, Y.-J., FERRIS, J., KNOTH, S., JONES-FARMER, L. (2024). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering, 36 (2), 287-315. doi:10.1080/08982112.2023.2206479.
  • DALATSARA, H. A., CHEN, Y.-J., LEONARD, R., MEGAHED, F. M., JONES-FARMER, L. (2023). Explaining Predictive Models: An Experimental Study of Data Preparation and Model Choice on Predictive Performance. Big Data, 11 (3), 199 - 214. doi:https://doi.org/10.1089/big.2021.0067.
  • DOLATSARA, H., CHEN, Y.-J., LEONARD, R., MEGAHED, F., JONES-FARMER, L. (2023). Explaining predictive model performance: An experimental study of data preparation and model choice.. Big Data, 11 (3), 199-214.
  • RIGDON, S. E., MEGAHED, F. M., MA, Y., JONES-FARMER, L. (2022). Explaining the Varying Patterns of COVID-19 Deaths Across the United States: 2-Stage Time Series Clustering Framework. JMIR Public Health and Surveillance, 8 (7), e32164. doi:10.2196/32164.
  • ANDERSON-COOK, C. M., LU, L., BRENNEMAN, W., DE MAST, J., FALTIN, F., FREEMAN, L., GUTHRIE, W., HOERL, R., JENSEN, W., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., STEVENS, N. T., ... JONES-FARMER, L. (2022). Statistical engineering 鈥 Part 2: Future. Quality Engineering, 34 (4), 446-467. doi:10.1080/08982112.2022.2106440.
  • ANDERSON-COOK, C. M., LU, L., BRENNEMAN, W., DE MAST, J., FALTIN, F., FREEMAN, L., GUTHRIE, W., HOERL, R., JENSEN, W., LEBER, D., PATTERSON, A., PERRY, M., STEINER, S. H., STEVENS, N. T., ... JONES-FARMER, L. (2022). Statistical engineering 鈥 Part 1: Past and present. Quality Engineering, 34 (4), 426-445. doi:10.1080/08982112.2022.2106439.
  • L, L., WEESE, M. L., MARTINEZ, W. G., JONES-FARMER, L. (2022). Robustness of the one-class Peeling method to the Gaussian Kernel Bandwidth. Quality and Reliability Engineering International, 38, 1289-1301. doi:https://doi.org/10.1002/qre.2990.
  • MEGAHED, F. M., ZHAO, L., RIGDON, S. E., JONES-FARMER, L. (2021). Modeling the differences in the time-series profiles of new COVID-19 daily confirmed cases in 3,108 contiguous U.S. counties: A retrospective analysis. PLOS One, 16 (11), e0242896. doi:10.1371/journal.pone.0242896.
  • LAMOOKI, S. R., CAVUOTO, L. A., MEGAHED, F. M., JONES-FARMER, L. (2021). Personalized and Nonparametric Framework for Detecting Changes in Gait Cycles. IEEE Sensors, 21 (17), 19236-19246. doi:10.1109/JSEN.2021.3090985.
  • HAJIFAR, S., SUN, H., MEGAHED, F., RASHEDI, E., CAVUOTO, L., JONES-FARMER, L. (2021). A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors. Applied Ergonomics, 90, 103262. doi:10.1016/j.apergo.2020.103262.
  • COLOSIMO, B. M., DEL CASTILLO, E., FARMER, L., PAYNABAR, K. (2021). Artificial intelligence and statistics for quality technology: an introduction to the special issue. Journal of Quality Technology, 53 (5), 443-453. doi:10.1080/00224065.2021.1987806.
  • HAJIFAR, S., SUN, H., , F. M., RASHEDI, E., JONES-FARMER, L. (2021). A Forecasting Framework for Predicting Perceived Fatigue: Using Time Series Methods to Forecast Ratings of Perceived Exertion with Features from Wearable Sensors. Applied Ergonomics, 90.
  • COLOSIMO, B. M., E., D. C., PAYNABAR, K., JONES-FARMER, L. (2021). Artificial Intelligence and Statistics for Quality Technology: An Introduction to the Special Issue. Journal of Quality Technology, 53 (5), 443-453.
  • CAVUOTO, L., BAGHDADI, A., RIGDON, S., ESFAHANI, E., MEGAHED, F., JONES-FARMER, L. (2021). Monitoring Worker Fatigue Using Wearable Devices: A Case Study to Detect Changes in Gait Parameters. Journal of Quality Technology, 53 (1), 47-71. doi:10.1080/00224065.2019.1640097.
  • NIEMESH, G., HART, J., HOLMES, W., JONES-FARMER, L. (2020). The Impact of Land Bank Demolitions on Property Values. Economics Bulletin, 40 (1), 217-233.
  • MARTINEZ, W., WEESE, M., JONES-FARMER, L. (2020). A One-Class Peeling Method for Multivariate Outlier Detection with Applications in Phase I SPC. Quality and Reliability Engineering International, 36 (4), 1272-1295. doi:10.1002/qre.2629.
  • JONES-FARMER, L. (2019). Leveraging industrial statistics in the data revolution: The Youden Memorial Address at the 63rd Annual Fall Technical Conference. Quality Engineering, 31 (2), 205-211. doi:10.1080/08982112.2019.1572187.

Honors & Awards

  • Lloyd Nelson Award from Statistics Division of the American Society for Quality
  • Decision Sciences Journal of Innovative Education Best Research Article Award
  • 黑料社区, Richard K. Smucker Endowed Teaching Award (2020)
  • Auburn University, Edward L. Lowder Endowed Teaching Award (2005)
  • University of Miami, Excellence in Teaching Award (1999)

Professional Interests

  • Research: Artificial Intelligence, Statistical Monitoring, Statistical Modeling
  • Teaching: Business Analytics, Predictive Modeling, Data Mining

Areas of Expertise

  • Statistics
  • Predictive Modeling
  • Statistical Process Control
  • Business Analytics

Biography

L. Allison Jones-Farmer (Ph.D. University of Alabama) currently holds the Van Andel Endowed Professorship in Business Analytics at 黑料社区. She is an active researcher, developing practical methods for analyzing data in industrial and business settings. She is currently on the editorial board of Journal of Quality Technology, and is a past Associate Editor for Technometrics. Dr. Jones-Farmer enjoys developing innovative curricula and teaching analytics and statistics to both undergraduate and graduate 黑料社区s. Dr. Jones-Farmer is the recipient of numerous teaching awards. Prior to joining 黑料社区 of Ohio, Dr. Jones-Farmer was on the faculty at University of Miami in Coral Gables, Florida, and at Auburn University in Auburn, Alabama. She has consulted with numerous organizations and enjoys working with companies to improve their analytics capabilities.

Courses

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