Arka Roy

Interim Chair and Associate Professor, Operations & Analytics

Charlie and Ann Bohl Deacon Professor

Alvarez College of Business, The University of Texas at San Antonio

Office: BB 4.01.10 · One UTSA Circle, San Antonio, TX 78249

Robust Optimization · Machine learning & AI · Healthcare · Infrastructure Services

Arka Roy

About

I currently serve as Interim Chair and Associate Professor in the Department of Operations and Analytics in the Alvarez College of Business at The University of Texas at San Antonio. Previously, I was a faculty member in the Department of Applied Statistics and Operations Research at Bowling Green State University.

My research uses optimization under uncertainty and machine learning to improve decision-making in healthcare and infrastructure services. In healthcare, I collaborate with clinicians on models for radiotherapy, perioperative management, treatment evaluation, quality control, and workforce scheduling. In infrastructure services, I develop analytics and optimization models to support sustainable, equitable, and resilient service delivery. I am an active member of INFORMS and POMS, and serve on the editorial board of Scientific Reports.

Academic Experience & Education

2026–present
Interim Chair, Operations & Analytics, UT San Antonio
2026–present
Charlie and Ann Bohl Deacon Professor, UT San Antonio
2025–present
Associate Professor, Operations & Analytics, UT San Antonio
2023–2026
Undergraduate Advisor, Business Analytics, UT San Antonio
2018–2025
Assistant Professor, Management Science & Statistics, UT San Antonio
2023–2024
Core Faculty, School of Data Science, UT San Antonio
2015–2018
Assistant Professor, Applied Statistics and Operations Research, Bowling Green State University
2013–2015
Visiting Pre-Doctoral Fellow, Industrial Engineering and Management Sciences, Northwestern University
2010–2015
Ph.D., Industrial Engineering, Purdue University
2006–2009
B.S., Industrial Engineering, Purdue University

Research

Selected Funded Projects

2026–2028
CPRIT: High Impact-High Risk
Safe and Robust use of AI in Radiotherapy.
Role: PI
2020–2027
UT Health SA
Optimal Scheduling of Physicians and Certified Registered Nurses.
Role: PI
2023–2025
HEB & UT San Antonio, School of Data Science
Data Science & AI Community Innovation Scholars Program.
Role: Faculty Advisor
2025
UT San Antonio, School of Data Science
Undergraduate Research Mentorship.
Role: Faculty Advisor
2020–2021
UT San Antonio, INTRA
Towards Spatiotemporally Robust Radiation Therapy.
Role: PI
2017–2018
Bowling Green State University: Summer Research Grant
Robustness in Cancer Treatments Guided by Cell Oxygenation.
Role: PI

Selected Publications

Titles link to publication pages. For a full list of journal publications, conference proceedings, and magazine articles, see the full CV.

2025
Dabadghao, S., Marandi, A., Roy, A.
Optimal Interventions in Robust Optimization with Time-Dependent Uncertainties. Computers & Operations Research, 183, 107162.
2024
Sun, K., Roy, A., Tobin, J.
Artificial Intelligence and Machine Learning: Definition of Terms and Current Concepts in Critical Care Research. Journal of Critical Care, 82, 154792.
2024
Roy, A., Dabadghao, S. S., Marandi, A.
Value of Intermediate Imaging in Adaptive Robust Radiotherapy Planning to Manage Radioresistance. Annals of Operations Research, 339(3), 1307–1328.
2023
Sun, K., Sun, M., Agrawal, D., Dravenstott, R., Rosinia, F., Roy, A.
Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming. Production and Operations Management, 32(11), 3699–3716.
2023
Ebadi, N., Li, R., Das, A., Roy, A., Papanikolaou, N., Najafirad, P.
CBCT-Guided Adaptive Radiotherapy using Self-Supervised Sequential Domain Adaptation with Uncertainty Estimation. Medical Image Analysis, 86, 102800.
2021
Routh, P., Roy, A., Meyer, J.
Estimating Customer Churn under Competing Risks. Journal of the Operational Research Society, 72(5), 1138–1155.
2021
Li, R., Roy, A., Bice, N., Fakhreddin, M., Kirby, N., Papanikolaou, N.
Managing Tumor Changes during Radiotherapy using a Deep Learning Model. Medical Physics, 48(9), 5152–5164.

Google Scholar

Teaching

Selected Courses - UT San Antonio

Undergraduate
BAN 4203. Business Analytics Applications
Graduate
DA 6813. Data Analytics Applications
Undergraduate
BAN 3073. Business Intelligence and Analytics
Undergraduate
BAN 3043. Business Statistics with Computer Applications II
Professional
ITESM Bridge to Data Analytics — Introduction to Programming in R

Selected Courses - BGSU

Undergraduate
BA 2120. Predictive Analytics
Graduate
STAT 6010. Statistics for Managerial Decisions
Graduate
STAT 4060. Sampling Design
Undergraduate
BA 3800. Introduction to Management Science

Students & Collaborators

Current

Katherine Adams, PhD is a Bridge-to-Faculty Postdoctoral Fellow in Operations & Analytics at UT San Antonio. Katherine is exploring trade-offs in optimal workforce management under uncertainties for healthcare providers, and works collaboratively with a team of managers and physicians at UT Health SA.
Yuqing Xia is a doctoral student in Medical Physics at UT Health SA. Yuqing is building AI models for auto-contouring while quantifying uncertainties in the full treatment planning workflow.
Alicia Maranville is a master’s student in Computer Science at SMU. Alicia is building predictive and prescriptive tools to help healthcare managers form efficient teams of providers, nurses, and residents under uncertainty.

Past

Kai Sun, PhD
Assistant Professor of Information Systems, University of Maryland-Baltimore County.
Sruthi Sivabhaskar, PhD
Assistant Professor of Radiation Oncology, UT Southwestern Medical Center.
Ruiqi Li, PhD
Assistant Professor of Radiation Oncology, UT Southwestern Medical Center.
Pallav Routh, PhD
Assistant Professor of Marketing, University of Wisconsin–Milwaukee.
Reisa Widjaja, PhD
Assistant Professor of Mathematics & Statistics, University of Wisconsin–La Crosse.

Selected Honors & Awards

2025
Honorable Mention Research Award, Academy of Distinguished Researchers, UT San Antonio
2024, 2025
Dean's Distinguished Research Award, Alvarez College of Business, UT San Antonio
2021, 2024
Meritorious Reviewer Award, INFORMS Journal on Computing, INFORMS
2021
Editor's Choice Paper, Journal of Civil Engineering Education, ASCE
2020
1969 Commemorative Teaching Excellence Award, Alvarez College of Business, UT San Antonio
2017, 2018, 2020
Certificate of Teaching Appreciation, Faculty Excellence Center, BGSU
2018
Best Paper Award, IISE Transactions on Healthcare Systems Engineering, IISE
2014
Best Poster Award, Health Systems Optimization Workshop, Chicago, IL
2013
Best Conference Paper Award, AAPM ORVC Regional Symposium, Erlanger, KY
2012, 2013
Magoon Award for Excellence in Teaching, College of Engineering, Purdue University
2006–2010
Dean's List all semesters and Semester Honors 5/7 semesters, Purdue University