Yajun Lu

Assistant Professor of Analytics & Operations Management

Jacksonville State University

Biography

I am currently an Assistant Professor of Analytics & Operations Management in the Department of Management & Marketing at the AACSB-accredited College of Business and Industry, 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, Journal of the American Medical Informatics Association, International Journal of Logistics Management, Networks, 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.

Interests

Business Analytics
Healthcare Analytics & Operations
Artificial Intelligence
Social Media Analytics
Graph-based Data Mining
Network Optimization

Education

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

Experience

Assistant Professor of Analytics & Operations Management

Jacksonville State University

August 2021 – Present Jacksonville, AL, USA

Visiting Assistant Professor of Business Analytics

Bucknell University

August 2019 – May 2021 Lewisburg, PA, USA

Recent Publications

Parisa Vaghfi Mohebbi, Yajun Lu, Zhuqi Miao, Balabhaskar Balasundaram, Pankush Kalgotra, Ramesh Sharda (2025). Identifying Most Lethal Cliques in Disease Comorbidity Graphs. IISE Transactions on Healthcare Systems Engineering, Accepted, March 2025.

Balabhaskar Balasundaram, Yajun Lu, Foad Mahdavi Pajouh (2025). Degree and distance-based clique relaxations. Handbook of Combinatorial Optimization.

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Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, Dursun Delen (2024). A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring. Journal of the American Medical Informatics Association, 31(8):1763–1773.

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Hao Pan, Yajun Lu, Balabhaskar Balasundaram, Juan S. Borrero (2024). Finding Conserved Low-Diameter Subgraphs in Social and Biological Networks. Networks, 84:509–527.

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Yajun Lu, Zhuqi Miao, Parisa Sahraeian, Balabhaskar Balasundaram (2023). On atomic cliques in temporal graphs. Optimization Letters, 17(4):813–828.

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Yajun Lu, Hosseinali Salemi, Balabhaskar Balasundaram, Austin Buchanan (2022). On fault-tolerant low-diameter clusters in graphs. INFORMS Journal on Computing, 34(6):3181-3199.

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Yajun Lu, Suhao Chen, Zhuqi Miao, Dursun Delen, Andrew Gin (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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Chun-Miin (Jimmy) Chen, Yajun Lu (2021). Shipment sizing for autonomous trucks of road freight. International Journal of Logistics Management, 32(2):413–433.

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Yajun Lu, Esmaeel Moradi, Balabhaskar Balasundaram (2018). Correction to: Finding a maximum $k$-club using the $k$-clique formulation and canonical hypercube cuts. Optimization Letters, 12(8):1959– 1969.

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