Grants & Projects per year
Personal profile
Research interests
- Healthcare systems engineering
- Operations management
- Advanced analytics
Biography
Mohammad Khasawneh is a SUNY distinguished professor and chair of Systems Science and Industrial Engineering at Binghamton University. He received his PhD in industrial engineering from Clemson University in August 2003 and his BS and MS in mechanical engineering from Jordan University of Science and Technology, in 1998 and 2000, respectively.
Khasawneh’s research is focused on healthcare systems engineering, operations management, and data science. He serves as the director for the Watson Institute for Systems Excellence (WISE), an institute for advanced studies that generates $2.5-3 million in research funds annually. In addition, he is the founding director of the Healthcare Systems Engineering Center, an organized research center (ORC) at Binghamton University.
Since 2003, Khasawneh has been leading a wide spectrum of projects with U.S. hospital systems that focus on applied research in the area of healthcare systems engineering. More specifically, his research is focused on the novel application of systems engineering to transform healthcare systems into high-performance environments that produce better patient outcomes at lower costs. His work is applied in ways that lead to optimal healthcare, including more efficient use of hospital resources; better outpatient scheduling; streamlined patient flow; improved patient satisfaction; reduced hospital-acquired conditions (such as infections and patient falls) through predictive analytics; and improved clinical, operational and financial performance using advanced data science methods.His health systems engineering center generates over $1 million annually in sponsored research from various healthcare and hospital systems.
Building on a successful research program and partnerships with health systems around the country and an academic concentration/minor, at the graduate/undergraduate levels, Khasawneh developed a 12-month Executive Master of Science with a Health Systems Concentration, which has been offered in Manhattan since 2013. He has also been instrumental in developing a new MS degree program in Healthcare Systems Engineering.
Over the years, Khasawneh presented his research at various national and international conferences, including China, India, Mexico, Jordan, Korea, Thailand, Japan, Turkey, Indonesia, and Canada. His research activities thus far have led to 60-plus refereed journal articles, 120-plus conference articles, one patent and three new invention disclosures. In addition, his sponsored research efforts thus far have resulted in over $15 million in external funding and over $39 million in software/equipment grants.
In 2006, Khasawneh received a U.S. Air Force Summer Faculty Fellowship to evaluate the use of multi-sensory cues to improve the landing of unmanned aerial vehicles. In 2009, he received another fellowship from the U.S. Air Force Office of Scientific Research to design ergonomic computer workstations for very large displays. He received the State University of New York (SUNY) Chancellor’s Award for Excellence in Teaching in 2011, the University Award for Outstanding Graduate Director in 2015, the University Award for Excellence in International Education in 2016, and the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2021. He is a member of the
Alpha Pi Mu and Alpha Epsilon Lambda honor societies.
Khasawneh also holds Diplomate status with the Society for Health Systems (SHS), a professional society within the Institute of Industrial and Systems Engineers (IISE) that supports the industrial engineering profession and individuals involved with improving quality and productivity within healthcare. More recently, Khasawneh was also recognized as an IISE Fellow, the highest classification of the IISE membership. He also holds an honorary visiting professor position with the Industrial Engineering Department at Hebei University of Technology in Tianjin, China, and Vellore Institute of Technology in Vellore, India.
In 2022, Khasawneh was named a SUNY distinguished professor, the highest faculty rank that SUNY awards. It is reserved for those who have achieved national or international prominence and an exemplary reputation within their discipline.
Resources
Education/Academic qualification
Bachelor, Jordan University of Science and Technology
Master, Jordan University of Science and Technology
PhD, Clemson University
ASJC Scopus Subject Areas
- Industrial and Manufacturing Engineering
Researcher Selected Keywords
- Healthcare systems engineering
- Operations management
- Advanced analytics
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Collaborations and top research areas from the last five years
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Interactive Data Management Platform to Drive Smart Manufacturing in Fabless Semiconductor Manufacturing Chains (AMD 6)
Khasawneh, M. (PI), Won, D. H. (CoPI) & Yoon, S. (CoPI)
06/1/26 → 12/31/26
Project: Research
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Raymond Warehouse Returnable Packaging Database Development and Dock Efficiency Improvement AMD 3
Khasawneh, M. (PI), Wang, Y. (CoPI) & Yoon, S. (CoPI)
05/25/26 → 05/21/27
Project: Research
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Applied Research Supporting Raymond Logistics in Inventory Optimization and Process Automation AMD 3
Khasawneh, M. (PI), Wang, Y. (CoPI) & Yoon, S. (CoPI)
05/25/26 → 05/21/27
Project: Research
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Organizational Excellence Support at Christiana Care (AMD 10)
Khasawneh, M. (PI) & Lam, S. (CoPI)
Christiana Care Health Services Incorporated
05/18/26 → 12/31/26
Project: Research
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A Simple Risk Assessment Tool for Older Adult Trauma Patients—Silver Trauma Score
Mukhi, A., Chalil Madathil, S., Singer, A., Vosswinkel, J., Khasawneh, M. T. & Jawa, R. S., Oct 2026, In: Journal of Surgical Research. 326, p. 341-351 11 p.Stony Brook University, Binghamton University
Research output: Contribution to journal › Article › peer-review
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Automatic semantic segmentation in chest X-ray images using deep learning approaches: a literature review
Abueed, O., Thakkar, P., AlAlaween, W. H., Wang, Y. & Khasawneh, M. T., Feb 2026, In: Neural Computing and Applications. 38, 4, 70.Research output: Contribution to journal › Review article › peer-review
Open Access -
Bridging images and language in radiology: A comprehensive PRISMA systematic review of transformer vision-language models and clinical readiness
Tabatabaee, S. & Khasawneh, M. T., 2026, (Accepted/In press) In: IISE Transactions on Healthcare Systems Engineering.Research output: Contribution to journal › Review article › peer-review
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Correction: Integrating machine learning models and explainable AI to predict DTaP vaccine demand in rural primary care (Neural Computing and Applications, (2025), 37, 24, (19597-19616), 10.1007/s00521-025-11416-x)
Yaeesh, O., Nimri, S., Wang, Y., Chen, S. R., Kinter, K., Renodin-Mead, D. & Khasawneh, M. T., Jul 2026, In: Neural Computing and Applications. 38, 14, 592.Research output: Contribution to journal › Comment/debate
Open Access -
Distributed Orders Management in Make-to-Order Supply Chain Networks Using Game-Based Alternating Direction Method of Multipliers
Gholami, A., Nezamoddini, N. & Khasawneh, M. T., Mar 2026, In: Analytics. 5, 1, 13.Research output: Contribution to journal › Article › peer-review
Open Access