top of page
IMG_1465.JPG
IMG_0372_edited.jpg

Kang Kang, Ph.D.
Research Associate at Evidera

  • toppng.com-ext-email-icon-gray-circle-680x680
  • Liknedin

Modeling and Simulation

​

Evidence Synthesis, Modeling, & Communication

 

Minneapolis, MN

​

Email: kangx747 at gmail dot com

Research Interests

My research primarily focuses on emerging service operations problems. In particular, a substantial part of my work involves leveraging and reinventing the quantitative techniques offered by the mathematical area of queueing theory in order to design service systems with efficiency, fairness, and safety.

Publications

K. Kang, S. Doroudi, M. Delasay, and A. Wickeham. 

A Queueing-theoretic Paradigm for Evaluating Transmission Risks in Service Systems during a Pandemic. Production and Operations Management, 32(5), pp.1453-1470. Special issue on Managing Pandemics: A POM Perspective (2023) 

K. Kang, S. Doroudi, and M. Delasay. Prioritization in the Presence of Self-ordering Opportunities in Omni-channel Services. Under review in Production and Operations Management (2023)

Tahami Monfared, A.A., Ye, W., Sardesai, A., Folse, H., Chavan, A., Kang, K. and Zhang, Q. Estimated societal value of lecanemab in patients with early Alzheimer’s disease using simulation modeling. Neurology and Therapy, 12(3), pp. 795-814 (2023)

Contact

Contact
Information

Evidera

Modeling and Simulation

Evidence Synthesis, Modeling & Communication

Minneapolis, MN 55414

  • LinkedIn

Thanks for submitting!

bottom of page