Dr. Arka Roy is an Assistant Professor in the Management Science and Statistics department housed in the Alvarez College of Business at the University of Texas at San Antonio (UTSA). He is also a Core Faculty member of the new School of Data Science at UTSA. Previously, he was a faculty member in the Applied Statistics and Operations Research department at Bowling Green State University. In addition to his doctoral work at the School of Industrial Engineering at Purdue University, he conducted research as a Visiting Research Fellow in the Industrial Engineering and Management Sciences department at Northwestern University.
His research focuses on the use of robust optimization and data analytics to improve end-user outcomes in healthcare and in sustainable services. In healthcare, he closely collaborates with clinicians to develop robust models for cancer radiotherapy, data-driven tools for treatment evaluation and quality control, as well as scheduling models for diagnostics and operations. In infrastructure services, he seeks to inform decision-makers on providing sustainable, equitable and resilient services using analytics and optimization. His research has been published in leading medical, sustainability, and operations research journals.
In addition to his research and teaching responsibilities, he serves as the Program Coordinator for the BBA in Business Analytics program at UTSA. Externally, he is an active member of Institute for Operations Research and the Management Sciences (INFORMS), Production and Operations Management Society (POMS), and American Association of Physicists in Medicine (AAPM).
Experience & Education
The University of Texas at San Antonio
2023 - Core Faculty in the School of Data Science
Bowling Green State University
2015 - 2018 Assistant Professor in Applied Statistics and Operations Research.
2013 - 2015 Visiting Pre-Doctoral Fellow in Industrial Engineering and Management Sciences.
2010 - 2015 Ph.D. in Industrial Engineering, School of Industrial Engineering.
2006 - 2009 Bachelor of Science in Industrial Engineering, School of Industrial Engineering.
Apr 2024: Dr. Roy will present our work on Robust AI-Assisted Radiation Treatment Planning at the POMS Annual Conference in Minneapolis, MN.
Feb 2024: Dr. Roy will give a colloquium talk on Time-Dependent Uncertainty Management in Radiotherapy at the ISE department in UW-Madison.
Feb 2024: Dr. Roy has been selected to serve as a faculty advisor in the inaugural Data Science and AI Community Innovation Scholars program at UTSA.
Jan 2024: Dr. Roy has been selected to serve on the AI, Cyber, Computing, and Data Science Planning Advisory Task Force at UTSA.
Jan 2024: Dr. Roy's paper on Exploring Aspects of Water Infrastructure System Trust in US Shrinking Cities is available online at ACS ES&T Water journal.
Oct 2023: Drs. Roy and Sun will present on adaptive robust radiotherapy planning and equitable anesthesiology scheduling topics at the INFORMS Annual Conference in Phoenix, AZ.
Oct 2023: Dr. Roy will serve as the next Program Coordinator of the BBA in Business Analytics program at UTSA.
Aug 2023: Drs. Roy's and Sun's paper on Equitable Anesthesiologist Scheduling under Demand Uncertainty using Multi-Objective Programming is published by the POM journal.
Jul 2023: Dr. Roy will be presenting our work on Robust AI-Assisted Radiotherapy Planning at INFORMS Healthcare Conference at Toronto, ON.
Jul 2023: Sruthi Sivabhaskar will be presenting our work on Clinical implementation of the multivariate risk-adjusted control chart for monitoring plan quality at AAPM Annual Conference at Houston, TX.
May 2023: Dr. Sun will be presenting our work on Equitable Anesthesiologist Scheduling under Uncertain Demand via Multi-Objective Programming at the POMS Annual Conference in Orlando, FL.
Office: 340N, San Pedro 1, 506 Dolorosa St., San Antonio, TX 78204.