Scholars

Lawley, Mark

Professor and Head

Positions:

Research Professor, Texas A&M Engineering Experiment Station (TEES), Texas A&M University
Faculty Affiliate, Institute for Engineering Education and Innovation, Texas A&M Engineering Experiment Station (TEES)
Department Head and Professor, Industrial and Systems Engineering, College of Engineering
Deputy Director, Center for Remote Health Technologies and Systems, Texas A&M Engineering Experiment Station (TEES)
Professor, Epidemiology and Biostatistics, School of Public Health
Professor, Biomedical Engineering, College of Engineering

UN Sustainable Development Goals:

Single Page Bio

Profile Summary

malawley@tamu.edu

Co-author Network

Map of Science

Co-investigator Network

UN Sustainable Development Goals:

overview

Mark Lawley is TEES Research Professor, and he holds appointments in the Departments Biomedical Engineering and Epidemiology and Biostatistics at Texas A&M University. He serves as Deputy Director of the Center for Remote Health Technologies and Systems, which focuses on developing breakthrough health care devices, technologies, and systems for disease prevention, diagnosis, and management in the global health setting.

education and training

Ph.D. in Mechanical Engineering, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 1995
M.S. in Manufacturing Systems Engineering, Auburn University - (Auburn, Alabama, United States) 1988
B.S. in Industrial Engineering, Tennessee Technological University - (Cookeville, Tennessee, United States) 1982

selected publications

Academic Articles74

Erraguntla, M., Dave, D., Zapletal, J., Myles, K., Adelman, Z. N., Pohlenz, T. D., & Lawley, M. (2021). Predictive model for microclimatic temperature and its use in mosquito population modeling. Scientific Reports. 11(1), 18909.
Park, S., Kum, H., Morrisey, M. A., Zheng, Q. i., & Lawley, M. A. (2021). Adherence to Telemonitoring Therapy for Medicaid Patients With Hypertension: Case Study. Journal of Medical Internet Research. 23(9), e29018-e29018.
Khatami, M., Alvarado, M., Kong, N., Parikh, P. J., & Lawley, M. A. (2021). Inpatient Discharge Planning Under Uncertainty. IISE Transactions. 54(4), 1-35.
Dave, D., Erraguntla, M., Lawley, M., DeSalvo, D., Haridas, B., McKay, S., & Koh, C. (2021). Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study.. JMIR Diabetes. 6(2), e26909-e26909.
Zapletal, J., Najmitabrizi, N., Erraguntla, M., Lawley, M. A., Myles, K. M., & Adelman, Z. N. (2021). Making gene drive biodegradable.. Philos Trans R Soc Lond B Biol Sci. 376(1818), 20190804-20190804.

SDG 3

Chapters5

Li, Y., Kong, N., Lawley, M. A., & Pagán, J. A. (2018). AN AGENT‐BASED MODEL FOR IDEAL CARDIOVASCULAR HEALTH. Decision Analytics and Optimization in Disease Prevention and Treatment. 241-258. John Wiley & Sons, Inc..
Turkcan, A., Nuti, L., DeLaurentis, P., Tian, Z., Daggy, J., Zhang, L., Lawley, M., & Sands, L. (2013). No-Show Modeling for Adult Ambulatory Clinics. International Series in Operations Research and Management Science. International Series in Operations Research & Management Science. 251-288. Springer New York.
Lin, F., Kong, N., & Lawley, M. (2012). Capacity Planning for Publicly Funded Community Based Long-Term Care Services. International Series in Operations Research and Management Science. International Series in Operations Research & Management Science. 297-315. Springer New York.
Konrad, R., Kucukyazici, B., & Lawley, M. (2011). Using Patient Flow to Examine Hospital Operations. Management Engineering for Effective Healthcare Delivery. 402-417. IGI Global.
Thomas, M. U., & Lawley, M. A. (2009). Reserve manufacturing capacity for augmenting contingency logistics requirements. Handbook of Military Industrial Engineering. 20-1-20-10.

Conference Papers32

Abbas, H., Zahed, K., Alic, L., Zhu, Y., Sasangohar, F., Mehta, R., ... Qaraqe, K. A. (2018). A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. 2018 IEEE International RF and Microwave Conference (RFM), 2018 IEEE International RF and Microwave Conference (RFM). 00, 182-184.
Gutierrez, A., Rios, M., Sasangohar, F., Lawley, M., Nobari, E. S., Qaraqe, K., Petrovski, G., & Abdul-Ghani, M. (2018). Integrated system approach for a diabetic monitoring system. IISE Annual Conference and Expo 2018. 1037-1042.
Gonzalez, K., Sasangohar, F., Mehta, R. K., Lawley, M., & Erraguntla, M. (2017). Measuring Fatigue through Heart Rate Variability and Activity Recognition: A Scoping Literature Review of Machine Learning Techniques. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61(1), 1748-1752.
Alvarado, M., Lawley, M., & Yan Li. (2016). Healthcare simulation tutorial: Methods, challenges, and opportunities. 2016 Winter Simulation Conference (WSC), 2016 Winter Simulation Conference (WSC). 236-247.

SDG 3
Li, Y., Kong, N., Lawley, M., & Pagan, J. A. (2014). Assessing lifestyle interventions to improve cardiovascular health using an agent-based model. Proceedings of the Winter Simulation Conference 2014, 2014 Winter Simulation Conference - (WSC 2014). 2015-January, 1221-1232.