Dr. David Ben-Arieh is a Professor of Industrial Engineering at Kansas State University. Prior to joining Kansas State University, Dr. Ben-Arieh taught at the Department of Industrial Engineering and Management, Ben-Gurion University in Beer Sheva, Israel.
His industrial experience includes working for AT&T Bell Laboratories, working with NASA and consulting for the aerospace industry.
Dr. Ben-Arieh concentrates mainly on applications of systems design and modeling and holds one patent in this area. In recent years Dr. Ben-Arieh has focused on applications in Health Care Systems Management, including patients flow, information systems integration, and patient quality and safety improvements.
Currently David Ben-Arieh is the director of the Health Care Operations Resource Center at Kansas State University.
Dr. Ben-Arieh won the Boeing Weliver Summer Faculty Fellowship, and several research grants with NASA.
Dr. Ben-Arieh is also a Fellow of the Institute of Industrial and Systems Engineering (IISE).
Dr. Ben-Arieh is an area editor for the Journal of Health Systems and sits on the editorial board of several journals.
Ben-Arieh D., Vimarlund V., Boissy P., 2015, Editorial - Special issue on Evaluation of Telehealth and E-Health Systems and Processes, Health Systems, volume 4, no. 3, 177-178.
Songnian Zhao, Yan Kuang, Chih-Hang Wu, David Ben-Arieh, Marcelo RamaLho-Ortigao, Kaiming Bi, Zoonotic Visceral Leishmaniasis Transmission: Modeling, Backward Bifurcation, and Optimal Control, Journal of Mathematical Biology, Springer-Verlag Berlin Heidelberg, April 2016. (Impact Factor: 1.846).
Shi, Z., David, B., Wu, C.J. (2016) A preliminary study of sepsis progression in an animal model using agent-based modeling, International Journal of Modelling and Simulation. Vol. 36, No. 1-2, pp. 44-54 (Online) Journal homepage: http://www.tandfonline.com/loi/tjms20 (Impact Factor: 0.321).
Shi, Z., Chaps K. S., Ben-Arieh D., Wu, C-H, (2016), An Agent-based Model of A Hepatic Inflammatory Response to Salmonella: A Computational Study under a Large Set of Experimental Data, PLOS ONE, 11(8), August 24, 2016, e0161131. http://dx.doi.org/10.1371/journal.pone.0161131.
Kuang, Y., Ben-Arieh, D., Zhao, S. , Wu, C., Margolies, D. and Nechols, J. (2017) Mathematical Model for Two-Spotted Spider Mites System: Verification and Validation. Open Journal of Modelling and Simulation, Vol. 5, No. 1, 13-31. doi: 10.4236/ojmsi.2017.51002.
Chen Y., Bi, K., Zhao S., Ben-Arieh D., C-H Wu, J., 2017, Modeling individual fear factor with optimal control in a disease-dynamic system, Chaos, Solitons and Fractals, vol. 104, November, 531-545.
Yan Kuang, David Ben-Arieh, Songnian Zhao and Chih-Hang Wu, (2018) Using spatial games to model and simulate tomato Spotted wilt virus-western flowers thrip dynamic system, International Journal of Modeling and Simulation, DOI: 10.1080/02286203.2018.1442547, ISSN: 0228-6203 (Print) 1925-7082 (Online) Journal homepage: http://www.tandfonline.com/loi/tjms20
Songnian Zhao, Yan Kuang, Chih-Hang Wu, Kaiming Bi & David Ben-Arieh (2018) Risk Perception and Human Behaviors in Epidemics, IISE Transactions on Healthcare Systems Engineering, DOI: 10.1080/24725579.2018.1464085
Dr. Ben-Arieh focuses on mathematical modeling of biological systems. As such he employs various techniques such as systems dynamics, agent based modeling and systems optimization to modeling ecological and biological systems. He has modeled biological phenomena such as sepsis episodes, predator-prey systems, and spread of infectious disease in population In addition, Dr. Ben-Arieh is conducting research in the area of spatial game theory, analyzing the effects of delayed information transfer and transient players’ behavior.