Colonel Joseph Lindquist

COL Joseph Lindquist

Professor of Applied Mathematics


COL Lindquist serves as the Core Calculus Program Director (MA100, MA104, MA153, MA205, MA255, MA364, MA365). 

Ongoing Research Projects

Using Natural Language Processing to generate insights

Effective practices for obtaining public perceptions in contested environments

Identifying key indicators for success at USMA (assessing risk and uncovering talent)

Effective practices in the mathematics classroom

Publications & Presentations

2023   Lindquist, J. Natural Language Processing: Fast Forwarding Research to the "Good Stuff", The American Journal of Clinical Nutrition, March 2023.

2022   Khabiri, E., Agrawal, B., Lindquist J., Li, Y., Bhamidipaty, A., Big Data Techniques for Industrial Problems with Little Data, 2022 IEEE International Conference on Big Data,  2022.

2021   Lindquist J., et al., Food for Thought: A Natural Language Processing analysis of the 2020 Dietary Guidelines Publice Comments, American Journal for Clinical Nutrition, Volume 114, Issue 2, August 2021, pp. 713-720.

2020   Thomas D., Siegel B., Baller D., Lindquist J., Cready G., Zervios J., Nadglowski J., Kyle T., Can the Participant Speak Beyond Likert? Free Text Responses in COVID-19 Obesity Surveys, Obesity, Volume 28, Issue 12, 9SEP2020, pp. 2268-2271.

2020   Lindquist, J., Sulewski, C., Microsoft Excel: The Universal Tool of Analysis, Chapter 2 of the Handbook of Military and Defense Operations Research, March 2020.

2019   MS Excel – The Multitool of Analysis, Presentation at the INFORMS Annual Meeting, 23OCT2019.

2019   Lindquist, J., et al. Effective Use of Public Perceptions in Assessments, The Journal of Defense Modeling & Simulation, 26FEB19, pp. 1-11.

2018   Lindquist, J., Turner, D., Kuiper, P., Hood, K., Sentiment Analysis in a Restricted Operational Environment, Proceedings of the conference on Big Data and Artificial Intelligence for Military Decision Making. MAY18.

2018   Lindquist, J., et al. Best Practices for Eliciting Public Perceptions in Conflict Environments, Proceedings of the MORS Special Session on Assessment of Named Operations

2017   Lindquist, J., Teutsch, C., Torres, E., A New Use for an Old Tool – Markov Chains and the Afghanistan Warfighter, MOR Journal, Volume 22, Number 2, 1AUG17, pp. 5-17.

2016   Bahm, V., Collins, G., Kollhoff, R., Lindquist, J., Gaul, M., Jesse, F., Dunaway, S., Thambidurai, S., Huddleston, S., Hall, H., Delara, N., Haskell, M., Shilling, A., Anderson, J., (2016). Deployed Analyst Handbook, Fort Belvoir, VA: Center for Army Analysis

2015   Lindquist, J., Teutsch, C., Analytic Support to Combat Operations in the Philippines (2011-2015), Volume II of the FA-49 Deployed Analyst History Series.

2013   Burger, J., Hickman, P., Hoffman, D., Lindquist, J., Chapter 4, Operational and Tactical Assessments, Proceedings of MORS Special Session  -  Assessments of Multinational Operations: From Analysis to Doctrine and Policy, pp. 22-26.

2012   Burger, J., Hoffman, D, Hickman, P., Lindquist, J., Best Practices in Operational Assessments, Proceedings MORS Special Meeting on Assessments of Multinational Operations: From Analysis to Doctrine and Policy.

2012   Lindquist, J., Neta, B., Giraldo, F., High-Order Non-Reflecting Boundary Conditions for Dispersive Waves in Polar Coordinates Using Spectral Elements, Applied Mathematics and Computation, 218, pp. 6666-6679.

2010   Lindquist, J., Giraldo, F, Neta, B., Klein-Gordon Equation with Advection on Unbounded Domains Using Spectral Elements and High-Order non-Reflecting Boundary Conditions, Applied Mathematics and Computation, 217, pp. 2710-2723.

2010   Lindquist, J., Neta B., Giraldo F., A Spectral Element Solution of the Klein-Gordon Equation with High-Order Treatment of Time and Non-Reflecting Boundary, Wave Motion, 47, pp. 289-298.

2009   Neta, B., Giraldo, X., Lindquist J., Spectral Element Solution of the Klein-Gordon Equation on an Infinite Channel with High-Order Boundary Treatment, Proceedings 15th International Conference on Finite Elements in Flow Problems (FEF09), 1-3 April 2009, Chuo University, Tokyo, Japan.

2009   Hromadka, T., Whitley, R., Horton, S., Smith, M., Lindquist, J., Generous Statistical Tests, Stochastic Environmental Research and Risk Assessment, 23, pp. 9-12, 2009.

2008   Burks, R., Lindquist, J., McMurran, S., What's My Math Course Got to do with Biology?, PRIMUS, 18(4), 329-333.