Ankit Bansal

Ankit Bansal is an Assistant Professor in the School of Systems Science and Industrial Engineering at the State University of New York, Binghamton. He holds a Ph.D. in Industrial Engineering from North Carolina State University (2019), an M.S. in Industrial Engineering (2017), and a B.Tech in Production & Industrial Engineering from Delhi Technological University (2014). His postdoctoral research at the University of Minnesota's Institute for Mathematics and its Applications focused on healthcare delivery optimization in collaboration with the Mayo Clinic.

• Ph.D., Industrial Engineering, North Carolina State University (2019)
• M.S., Industrial Engineering, North Carolina State University (2017)
• B.Tech, Production & Industrial Engineering, Delhi Technological University (2014)

Bansal's research interests include integer programming, bilevel optimization, robust optimization, and large-scale optimization, with applications in healthcare scheduling and production systems. His work addresses complex resource allocation challenges in surgical operations, anesthesia management, and semiconductor manufacturing.

His recent publications emphasize optimization techniques for healthcare delivery, such as robust surgery scheduling and CRNA staffing, alongside manufacturing coordination during product transitions. These contributions advance operational efficiency in both clinical and industrial settings.

No scientific awards are explicitly listed in the provided materials.

His collaborations include the Mayo Clinic's Kern Center for the Science of Healthcare Delivery and the Institute for Mathematics and its Applications. No specific grants or advising records are detailed, though he invites students to join his research group via email.