Biography
Dr. Eduardo Pérez is a Professor of Industrial Engineering at Texas State University's Ingram School of Engineering. He is also the founder and director of the Integrated Modeling and Optimization for Service Systems (iMOSS) research laboratory. Dr. Pérez's work focuses on the application of operations research to various service systems, developing methodologies and algorithms to support decision-making in the presence of large data sets and uncertainty. His research uses techniques such as discrete-event simulation, agent-based simulation, and stochastic programming to address problems in healthcare, public health, homeland security, and humanitarian logistics.
Dr. Pérez earned his Ph.D. in Industrial and Systems Engineering from Texas A&M University in 2010 and his B.Sc. in Industrial Engineering from the Universidad de Puerto Rico in 2003. He joined Texas State University as an Assistant Professor in 2012, was promoted to Associate Professor in 2018, and became a full Professor in 2024. His professional experience also includes a postdoctoral research associate position at Texas A&M University, Visiting Scholar role at New York University's College of Global and Public Health, and Faculty Fellow for the DHS Center for Accelerating Operational Efficiency (CAOE).
Selected Awards and Grants:
Dr. Pérez has been recognized with multiple awards and honors throughout his career. In 2025, he received the Texas State Presidential Award for Developmental Leave and the Teaching Excellence Award of the IISE Modeling & Simulation Division. He was named an INFORMS Senior Member in 2024 and received the INFORMS Minority Issues Forum Early Career Award in 2018. In 2023, he was honored with the IISE Outstanding Global Faculty Advisor Award and the IISE South Central Region Outstanding Regional Faculty Advisor Award.
His research has been supported by significant federal and state grants. He has been a Principal Investigator (PI) on multiple projects funded by the Department of Homeland Security related to enhancing workforce planning and resource allocation for airport security. Dr. Pérez also secured National Science Foundation (NSF) grants for his work on the availability of healthcare resources during the COVID-19 pandemic and for analyzing food bank operations after natural disasters.
Dr. Pérez earned his Ph.D. in Industrial and Systems Engineering from Texas A&M University in 2010 and his B.Sc. in Industrial Engineering from the Universidad de Puerto Rico in 2003. He joined Texas State University as an Assistant Professor in 2012, was promoted to Associate Professor in 2018, and became a full Professor in 2024. His professional experience also includes a postdoctoral research associate position at Texas A&M University, Visiting Scholar role at New York University's College of Global and Public Health, and Faculty Fellow for the DHS Center for Accelerating Operational Efficiency (CAOE).
Selected Awards and Grants:
Dr. Pérez has been recognized with multiple awards and honors throughout his career. In 2025, he received the Texas State Presidential Award for Developmental Leave and the Teaching Excellence Award of the IISE Modeling & Simulation Division. He was named an INFORMS Senior Member in 2024 and received the INFORMS Minority Issues Forum Early Career Award in 2018. In 2023, he was honored with the IISE Outstanding Global Faculty Advisor Award and the IISE South Central Region Outstanding Regional Faculty Advisor Award.
His research has been supported by significant federal and state grants. He has been a Principal Investigator (PI) on multiple projects funded by the Department of Homeland Security related to enhancing workforce planning and resource allocation for airport security. Dr. Pérez also secured National Science Foundation (NSF) grants for his work on the availability of healthcare resources during the COVID-19 pandemic and for analyzing food bank operations after natural disasters.
Research Interests
Dr. Eduardo Pérez's research interests lie in the application of operations research to service systems. He develops theories, methodologies, and algorithms to support decisions made under uncertainty and with large amounts of data. His work employs methods such as discrete-event simulation, agent-based simulation, and stochastic programming.
His research is applied across various fields, including:
- Healthcare and Public Health: This includes projects on improving patient flow in clinics, optimizing trauma hospital networks, and preparing public health systems for natural disasters.
- Homeland Security: He has focused on projects to improve efficiency and resource allocation at airport security checkpoints.
- Humanitarian Logistics: His research in this area involves topics like food bank disaster relief operations and optimizing last-mile delivery for nonprofits.
- Renewable Energy: He has worked on the operation and maintenance of wind farm systems.
His research is applied across various fields, including:
- Healthcare and Public Health: This includes projects on improving patient flow in clinics, optimizing trauma hospital networks, and preparing public health systems for natural disasters.
- Homeland Security: He has focused on projects to improve efficiency and resource allocation at airport security checkpoints.
- Humanitarian Logistics: His research in this area involves topics like food bank disaster relief operations and optimizing last-mile delivery for nonprofits.
- Renewable Energy: He has worked on the operation and maintenance of wind farm systems.
Teaching Interests
- Systems engineering
- Systems simulation
- Operations Research
- Modeling and Analysis of Manufacturing System
- Probability and Statistics
- Facilities Design
- Systems simulation
- Operations Research
- Modeling and Analysis of Manufacturing System
- Probability and Statistics
- Facilities Design