Yajun Lu

Yajun Lu

Assistant Professor of Analytics & Operations Management

Jacksonville State University


I am currently an Assistant Professor of Analytics & Operations Management in the Department of Management & Marketing at Jacksonville State University (my official website is here). My research interests are broadly in Business Analytics, Healthcare Analytics and Operations, Graph-based Data Mining, Social Media Analytics, Network Optimization, and Artificial Intelligence.

My work has been published in INFORMS Journal on Computing, Decision Support Systems, International Journal of Logistics Management, Optimization Letters, International Journal of Advanced Manufacturing Technology, among others. I received my Ph.D. in Industrial Engineering & Management from Oklahoma State University under the guidance of Dr. Baski Balasundaram. Prior to joining JSU, I was a Visiting Assistant Professor of Business Analytics in the Department of Analytics and Operations Management at Bucknell University. Besides my academic positions, I worked as an Industrial Engineer at Huawei Technologies Co., Ltd., China from March 2011 to July 2014.

  • Network Optimization
  • Graph-based Data Mining
  • Business Analytics
  • Healthcare Analytics & Operations
  • Social Network Analysis
  • Artificial Intelligence
  • PhD, Industrial Engineering & Management, 2019

    Oklahoma State University

  • M.S., Industrial Engineering, 2011

    Huazhong University of Science and Technology

  • B.S., Industrial Engineering, 2008

    Zhongyuan University of Technology


Jacksonville State University
Assistant Professor of Analytics & Operations Management
August 2021 – Present Jacksonville, AL, USA
Bucknell University
Visiting Assistant Professor of Business Analytics
August 2019 – May 2021 Lewisburg, PA, USA
Huawei Technologies Co., Ltd.
Industrial Engineer
March 2011 – July 2014 Shenzhen, China
Job Duty: Optimization and Simulation, Data Analytics, Supply Chain Management, Lean Manufacturing

Recent Publications

(2024). A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring. Under 3rd Round Review at Journal of the American Medical Informatics Association, May 2024.

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(2024). Identifying Most Lethal Cliques in Disease Comorbidity Graphs. Submitted, April 2024.

(2024). Finding Conserved Low-Diameter Subgraphs in Social and Biological Networks. Under 2nd Round Review at Networks, March 2024.

(2023). On atomic cliques in temporal graphs. Optimization Letters, 17(4):813–828.

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(2022). On fault-tolerant low-diameter clusters in graphs. INFORMS Journal on Computing, 34(6):3181-3199.

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(2021). Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression. Decision Support Systems, 148:113583.

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(2021). Shipment sizing for autonomous trucks of road freight. International Journal of Logistics Management, 32(2):413–433.