About
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). 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 optimization under uncertainty 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).
Academic Experience & Education
The University of Texas at San Antonio
2018 - Assistant Professor in Management Science and Statistics
2023 - 2024 Core Faculty in the School of Data Science
Bowling Green State University
2015 - 2018 Assistant Professor in Applied Statistics and Operations Research.
Northwestern University
2013 - 2015 Visiting Pre-Doctoral Fellow in Industrial Engineering and Management Sciences.
Purdue University
2010 - 2015 Ph.D. in Industrial Engineering, School of Industrial Engineering.
2006 - 2009 Bachelor of Science in Industrial Engineering, School of Industrial Engineering.
News
Oct 2024: We have 2 talks and a panel from our group at the INFORMS Annual Meeting in Seattle, WA. Click the link to see details.
Sep 2024: Check out our healthcare research featured in the Alvarez College of Business alumni magazine!
Aug 2024: Dr. Katherine Adams will be joining our team. Dr. Adams will be leading the efforts on designing optimal and fair resource planning models in healthcare.
Aug 2024: Dr. Kai Sun will start a tenure-track faculty position in the Information Systems department at the University of Maryland - Baltimore County.
Jul 2024: Dr. Roy will give a seminar talk on Uncertainty Management in Radiotherapy via AI & Optimization at University of Waterloo, sponsored by Waterloo.AI.
May 2024: Dr. Roy received the Dean's Distinguished Research Award from the Alvarez College of Business.
May 2024: New paper - Phase I Quality Control Framework for Monitoring Organ-at-Risk Dose is available at Biomedical Physics & Engineering Express journal.
Apr 2024: Dr. Roy will present our work on Robust AI-Assisted Radiation Treatment Planning at the POMS Annual Conference in Minneapolis, MN.
Apr 2024: New paper - Artificial Intelligence and Machine Learning: Definition of Terms and Current Concepts in Critical Care Research is published in Journal of Critical Care.
Feb 2024: Dr. Roy's colloquium talk on Time-Dependent Uncertainty Management in Radiotherapy at the ISE department in UW-Madison is available online.
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: New paper - 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: New paper - 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.
Contact
Office: BB 4.04.26A, One UTSA Cir., San Antonio, TX 78249.