Kangwon Seo, Ph.D.
Assistant Professor, Industrial & Systems Engineering; Statistics
Dr. Seo is an assistant professor of the Departments of Industrial and Systems Engineering and Statistics (joint) at the University of Missouri (MU). He joined MU in 2017 after he obtained his Ph.D. degree at Arizona State University. His research area includes applied statistics, experimental designs, industrial data analysis, quality and reliability engineering, predictive modeling, and system health monitoring/prognostics. He is teaching the design and analysis of engineering experiments, probability and statistics, and multivariate data analysis.
News
May 2023: The same news article was picked up by Show Me Mizzou, the campus's main news site.
May 2023: The paper entitled "PCA-based Monitoring of Power Plant Vibration Signal by Discrete Wavelet Decomposition Features" authored by Benjamin Oguejiofor and Kangwon Seo was published in 2023 Annual Reliability and Maintainability Symposium (RAMS), and featured in ISE research news.
March 2023: Our UG students Michael Stroud, Joshua Freeman, and Madeline Easley participated in the paper competition at the IISE Regional Conference held at Mizzou, and achieved 3rd place. Congratulations! The news can be found here.
December 2022: On behalf of si-MU-lation team, UG students Michael Stroud and Joshua Freeman presented the poster entitled "Optimal surgical center operations through running experiments with a simulation model" in Fall 22 IMSE UG research competition. We took 2nd place!
October 2022: The same news article was picked up by Show Me Mizzou, the campus's main news site.
September 2022: Our previous article was featured in IMSE research news.
July 2022: The journal article entitled “Optimal experimental designs for clustered read-out data of reliability tests via particle swarm optimization" authored by Dr. Seo and Dr. Lee has been published in the journal Computers & Industrial Engineering. This article is available online at https://doi.org/10.1016/j.cie.2022.108471. The part of the cost of open access fees associated with publishing this article was supported by MU College of Engineering Research Office Incentive Funds.
June 2022: Wonjae Lee successfully completed his PhD dissertation defense. He will join Francis Marion University as a tenure track faculty (assistant professor) this fall. Congratulations Dr. Lee!
May 2022: Dr. Seo presented his research entitled "Optimal experimental designs for clustered read-out data of reliability tests via particle swarm optimization " in IISE conference in Seattle.
May 2022: Wonjae Lee presented his research entitled "Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning" in IISE conference in Seattle.
April 2022: The journal article entitled “Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning” authored by Wonjae Lee and Dr. Seo has been published in the Big Data Research. This article is freely available at https://doi.org/10.1016/j.bdr.2022.100314.
April 2022: The journal article entitled “Prediction of Lithium-Ion Battery Capacity by Functional Principal Component Analysis of Monitoring Data” authored by MD Shoriat Ullah and Dr. Seo has been published in the Special Issue Intelligent Systems Applications to Multiple Domains Based on Innovative Signal and Image Processing of Applied Sciences. This article is freely available at https://doi.org/10.3390/app12094296 .
April 2022: Sam Forrest and Michael Stroud, IMSE UG students, presented their research poster "Developing Dashboards to Visualize ICU Nurses' EMR Log Data" at the 2022 Spring Undergraduate Research & Creative Achievements Forum held at Memorial Union during April 18 - 19.
April 2022: Dr. Seo presented the project entitled "Developing dashboards to visualize ICU nurses' EMR log data" worked by IMSE UG students (Sam Forrest, Michael Stroud, Natalie Camilleri, Nate Henks) at Nexus Informatics Conference held at Kansas City University.
March 2022: Wonjae Lee, a PhD candidate, was selected as the best PhD student in IMSE department. Congratulations!
February 2022: Dr. Seo presented his research in IMSE department at Kansas State University, Manhattan, Kansas, with the title "Optimal experimental designs for clustered read-out data of reliability tests via particle swarm optimization".
December 2021: Natalie Camilleri and Nate Henks, IMSE UG students, presented their research "EMR Usage and Nurse Documentation Burden at the University of Missouri Intensive Care Unit" in IMSE UG Research Poster Competition. They also participated in 2021 Fall Mizzou UG Research day.
December 2021: Michael Stroud and Sam Forrest, IMSE UG students, presented their research "Analysis of Nurse Task Duration and Frequency Recorded by RTMS data" in IMSE UG Research Poster Competition. They also participated in 2021 Fall Mizzou UG Research day.
September 2021: The engineering research news introduced the article "An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer".
August 2021: The paper entitled "An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer" was published in Advances in Operations Research.
May 2021: Wonjae Lee successfully completed his comprehensive exam and dissertation proposal. Congratulations, Wonjae!
May 2021: Wonjae Lee presented his research work at the 2021 IISE conference.
May 2021: Wonjae Lee and Dr. Seo submitted their research article to a journal.
March 2021: Congratulations! Md. Shoriat Ullah, a former MS student who graduated last fall and got a job as a business analyst, was selected as the outstanding Master’s student by the department’s faculty. https://engineering.missouri.edu/2021/03/mizzou-engineering-recognizes-outstanding-faculty-staff-students/
March 2021: The paper entitled “Simulation-based search for optimal designs of accelerated life tests through response surface methodology” was published.
March 2021: The conference paper of Wonjae Lee and Dr. Seo submitted to 2021 IISE was accepted with minor revisions.
February 2021: The manuscript authored by Daniel Ayasse and Dr. Seo was accepted by the International Journal of Quality and Reliability Management.
December 2020: Research of Dr. Seo was highlighted in IMSE news, College of Engineering.
December 2020: Daniel Ayasse, a former MS student, and Dr. Seo submitted their research article to the International Journal of Quality and Reliability Management.
December 2020: MD Shoriat Ullah successfully defended his MS thesis. Congratulations, Shoriat!
November 2020: Wonjae Lee, a PhD student, presented his research work in 2020 IISE conference.
November 2020: MD Shoriat Ullah, an MS student, presented his research work in 2020 INFORMS conference.
November 2020: Dr. Seo presented his research work in 2020 INFORMS conference.
November 2020: Dr. Seo presented his research work in IMSE Graduate seminar.
October 2020: The journal article entitled “Planning Accelerated Life Tests with Multiple Sources of Random Effects” authored by Dr. Seo and Dr. Rong Pan has been published online. https://www.tandfonline.com/eprint/6GEE9VZTHAMNPN27BI4B/full?target=10.1080/00224065.2020.1829214
September 2020: The journal article entitled “Early failure detection of paper manufacturing machinery using nearest neighbor based feature extraction” authored by Wonjae Lee and Dr. Seo has been published. https://doi.org/10.1002/eng2.12291
September 2020: The journal article entitled “Planning Accelerated Life Tests with Multiple Sources of Random Effects” authored by Dr. Seo and Dr. Rong Pan has been accepted by Journal of Quality Technology.
September 2020: The journal article entitled “Early failure detection of paper manufacturing machinery using nearest neighbor based feature extraction” authored by Wonjae Lee, a graduate student, and Dr. Seo has been accepted by Engineering Reports.
August 2020: MD Shoriat Ullah, a graduate student, submitted a paper to 2020 INFORMS QSR student paper competition.
September 2019: Dr. Seo submitted a manuscript entitled “Planning Accelerated Life Tests with Multiple Sources of Random Effects” to a journal.
August 23, 2019: The book chapter entitled “An Introduction of Generalized Linear Model Approach to Accelerated Life Test Planning with Type-I Censoring.” has been published in Statistical Quality Technologies.
August 19, 2019: The journal article entitled “An application of hidden Markov model on determination of root cause frequency and locations” authored by Dr. Seo and MD Shoriat Ullah, a graduate student, has been published in Quality Engineering.
August 2, 2019: The journal article entitled “Visualizing Alzheimer's Disease Progression in Low Dimensional Manifolds” authored by Dr. Seo and his coworkers has been published in Heliyon.
June 26, 2019: “Generalized Linear Model Approach to Accelerated Life Test Planning” Invited talk in EcoSta 2019 in National Chung Hsing University, Taiwan
June 26, 2019: “Feature-based AD Classification and Beyond” Invited talk in Dr. Shao-Jen Weng’s research group in Tunghai University, Taiwan
May 21, 2019: Daniel Ayasse presented his research work titled “Simulation Based Search for Efficient Planning of Accelerated Life Tests.” In 2019 IISE Conference.
May 19, 2019: Wonjae Lee presented his research work titled “Rare Event Classification in Multivariate Time Series using Decision Tree Algorithm with 1-NN” in QCRE Data Challenge of 2019 IISE conference. We lost the first place but it was great experience to get feedback from judges and learn from other participants.
May 2, 2019: Daniel Ayasse successfully finished his MA degree (Statistics) defense with a project entitled “Simulation Based Search for Efficient Planning of Accelerated Life Tests.” Congratulations Danny!
April 25, 2019: Wonjae Lee and MD Shoriat Ullah participated in the poster session of College of Engineering Research day.
April 9, 2019: MD Shoriat Ullah gave a talk “Determination of Root Cause Frequency and Locations” in annual SME (Society of Manufacturing Engineers) student night.
April 1, 2019: Our team, Wonjae Lee and Kangwon Seo, was selected as a finalist for 2019 IISE QCRE Data Challenge, and invited to make a presentation in 2019 IISE conference.