About Me
I am an Assistant Professor in the Department of Industrial Systems and Engineering (ISE) at Lehigh University. Previously, I was a Presidential and Dean Postdoctoral Fellow at Heinz College of Information Systems and Public Policy at Carnegie Mellon University, where I had the opportunity to collaborate with Prof. Rema Padman. I hold a Ph.D. in Industrial and Operations Engineering from the University of Michigan, where I had the privilege of being co-advised by Prof. Amy Cohn and Prof. Ruiwei Jiang. I also hold an M.S. in Systems Science and Industrial Engineering from Binghamton University and a B.S.E in Biomedical Engineering from Jordan University of Science and Technology.
My methodological research expertise and interests include data-driven optimization under uncertainty and (mixed) integer programming. My primary application areas and expertise are healthcare operations and analytics; facility location; transportation systems; and fair decision-making.
I am always looking for talented and enthusiastic students to work with and mentor, and I am dedicating my career and accomplishments to every little dreamer in the world who has a dream so big and so exciting.
Connect With Me
News:
Our paper "Stochastic optimization approaches for an operating room and anesthesiologist scheduling problem" has been accepted in Operations Research, January 2024.
I was elected as a vice president/president-elect of INFORMS JFIG and an executive vice president of INFORMS Section on Location Analysis (SOLA).
I was invited to join the Early Career Editorial Advisory Board of Transportation Research Part C: Emerging Technologies. TR-C is one of the premier journals in transportation. It has a high impact factor of 8.3 and a citescore of 15.5. I look forward to contributing to this new role!.
New book chapter: Shehadeh, K.S., and Snyder, L.V. (2023). Equity in Stochastic Healthcare Facility Location. In: Eiselt, H.A., Marianov, V. (eds) Uncertainty in Facility Location Problems. International Series in Operations Research & Management Science, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-031-32338-6_12.
New paper: Shehadeh, K.S., (2023). ``Reducing disparities in transportation distance in a stochastic facility location problem.'' Transportation Research Part C: Emerging Technologies.
New paper: Tsang, M.Y, Shehadeh, K.S., and Curtis, F. (2023). "An In-exact Column-and-Constraint Generation Method to Solve Two-stage Robust Optimization Problems,'' Operations Research Letters.
New paper: Alkaabneh, F, Shehadeh, K.S., and Diabat, A. (2023). ``Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty'." Transportation Research Part C: Emerging Technologies.
I won the 2022 INFORMS Minority Issues Forum (MIF) Paper Competition. The work awarded is the single-authored paper entitled ``Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem,'' published in Transportation Science.
Congratulations to PhD student Man Yiu (Tim) Tsang on the acceptance of his paper with Dr. Shehadeh, “Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times," in the European Journal of Operational Research.
Our paper (PhD student Man Yiu Tsang and Dr. Shehadeh) "Convex Fairness Measures: Theory and Optimization," has been selected as a finalist in the 2022 INFORMS JFIG Paper Competition at the 2022 Annual INFORMS Meeting.
Our paper “Operating Room-to-Downstream Elective Surgery Planning Under Uncertainty” has been selected as a finalist for the 2022 INFORMS Service Science Best Cluster Paper Award at the 2022 Annual INFORMS Meeting.
New paper: Shehadeh, K.S. (2022). ``Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Routing and Scheduling Problem.'' Transportation Science.
New paper: Shehadeh, K.S., Tucker, E.L. (2022). ``Stochastic Programming and Distributionally Robust Optimization Approaches for Location and Inventory Prepositioning of Disaster Relief Supplies." Transportation Research Part C: Emerging Technologies.
New paper: Shehadeh, K.S. (2022). ``Data-driven distributionally robust surgery planning in flexible operating rooms over a Wasserstein ambiguity.'' Computers & Operations Research: 105927.
Congratulations to ISE PhD student Man Yiu (Tim) Tsang for winning the 2022 Van Hoesen Family Best Publication award, which recognizes excellence in research, for his paper: Stochastic Optimization Models for a Home Service Routing and Appointment Scheduling Problem with Random Travel and Service Times.