Personal profile
About
Yasaman Ghasemi joined LMU’s Department of Information Systems and Business Analytics (ISBA) in fall 2021. Her research focuses on systems engineering and management with a particular interest in healthcare operations, public health, complex adaptive system modeling simulation and optimization, and supply chain. Professor Ghasemi has worked with healthcare, law enforcement agencies and industry to help identify operational bottlenecks, improve processes efficiency, and optimize resource allocations. One of her recent projects involved developing an agent-based simulation model to investigate the transmission dynamics of infectious diseases to help public health decision-makers quickly respond to the epidemic/pandemic.
Professor Ghasemi completed her Ph.D. in industrial engineering from the University of Texas at Arlington and also holds an M.S. in industrial engineering and management from Linköping University and her B.S. in computer engineering from Azad University.
-
A GIS-integrated agent-based simulation framework for modeling and evaluation of police patrol operations
Ghasemi, Y., Zhou, Y., Zare, S. & Chen, V. C. P., Feb 2026, In: Simulation Modelling Practice and Theory. 147, p. 103233 1 p., 103233.Research output: Contribution to journal › Article › peer-review
Open Access -
Social capital, knowledge sharing and operational performance in the supply chain: A buyer-supplier perspective
Zare, S., Singh, K., Ghasemi, Y. & Prater, E. L., 2023, In: International Journal of Business and Systems Research. 17, 4, p. 387-406 20 p.Research output: Contribution to journal › Article › peer-review
-
An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities
Chen, V. C. P., Zhou, Y., Fallahi, A., Viswanatha, A., Yang, J., Liu, F., Ohol, N. S., Ghasemi, Y., Farahani, A. A., Rosenberger, J. M. & Guild, J. B., Apr 2022, In: IEEE Transactions on Automation Science and Engineering. 19, 2, p. 586-602 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study
Zhou, Y., Li, L., Ghasemi, Y., Kallagudde, R., Goyal, K. & Thakur, D., Sep 22 2021, In: Information Discovery and Delivery. 49, 3, p. 216-224 9 p.Research output: Contribution to journal › Article › peer-review
-
Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features
Rahman, M. M., Ghasemi, Y., Suley, E., Zhou, Y., Wang, S. & Rogers, J., Aug 2021, In: IRBM. 42, 4, p. 215-226 12 p.Research output: Contribution to journal › Article › peer-review