Colonel Joseph Lindquist

COL Joseph Lindquist

Professor of Applied Mathematics

joseph.lindquist@westpoint.edu

Biography

COL Joe Lindquist serves as a Professor of Applied Mathematics in the Department of Mathematical Sciences at West Point. COL Lindquist's previous assignments and positions include serving as the Director of the Core Math Program, Senior Analyst at the Center for Army Analysis, where he deployed in support of Operation Enduring Freedom (Afghanistan and the Philippines) , and various command, staff, and platoon leader positions as an Army Military Police Officer. He has co-authored dozens of refereed journal articles, conference papers, technical reports, and textbook chapters. He holds a patent for work in the field of Natural Language Processing conducted with his talented colleagues at IBM in 2022 while on an Academic Operational Experience. He is the recipient of the Military Operations Research Society's Stephen A. Tisdale (2004) and the Wayne P. Hughes (2012) Award, was awarded the Director's Award for Excellence at the Center for Army Analysis (Analytic Team 2010, Individual Analyst 2011) and was recently presented the Dean's Award for Scholarship Excellence (2023).

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

2024 Lindquist, D., Sparrow, B., Lindquist J., Spaced Recall Reduces Forgetting of Fundamental Mathematical Concepts in a Post High School Precalculus Course, Instructional Science, Accepted: 5JUL24.

2024 Anuradha Bhamidipaty, Bhavna Agrawal, Elham Khabiri, Joseph Lindquist, Yingjie Li. Code-Based Pattern Extraction and Application in a Named Entity Recognition Pipeline. US Patent Number: US2024/0202226A1. Patent Published: 20JUN24

2024 Lindquist, J., Sulewski, C., Microsoft Excel: The Universal Tool of Analysis, Chapter 2 of the Handbook of Military and Defense Operations Research, March 2024.

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.