- Ph.D. Purdue University
- B.S. Purdue University
Dr. Arkajyoti Roy is an Assistant Professor in the Management Science and Statistics department at UTSA. Previous to UTSA, Dr. Roy was a faculty member in the Department of Applied Statistics and Operations Research at Bowling Green State University. In addition to his doctoral work at Purdue, he conducted research as a Visiting Pre-Doctoral Fellow in the Department of Industrial Engineering and Management Sciences at Northwestern University.
His research focuses on developing decision-making models in the presence of uncertainties. Application areas include cancer radiotherapy and marketing. Previous and current projects in the context of radiotherapy include developing robust measures of correlation in radiotherapy plan evaluation; modeling robust radiotherapy treatments; establishing large-scale radiotherapy plan analytics and quality control; and optimal scheduling of medical diagnostics. Ongoing work in marketing include estimating customer worth under competing risks and optimal resource allocation for marketing campaigns.
Dr. Roy has won various teaching and research awards including the 2018 Best Paper Award in the IISE Transactions on Healthcare Systems Engineering journal managed by the Institute of Industrial Engineers. In addition to his teaching and research endeavors, Dr. Roy is an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and the American Association of Physicists in Medicine (AAPM).
- Robust optimization
- Data analytics
- Cancer radiotherapy
- “DVH Analytics: A DVH Database for Clinicians and Researchers,” with Dan Cutright, Mahesh Gopalakrishnan, Aditya Panchal and Bharat Mittal, Journal of Applied Clinical Medical Physics, Vol. 19, 2018, pp. 413-427.
- “Robust Optimization with Time-Dependent Uncertainty in Radiation Therapy,” with Omid Nohadani, IISE Transactions on Healthcare Systems Engineering, Vol. 7, No. 2, 2017, pp. 81-92. Best Paper Award.
- “On Correlations in IMRT Planning Aims,” with Indra Das and Omid Nohadani, Journal of Applied Clinical Medical Physics, Vol. 17, No. 6, 2016, pp. 44-59.