1. 2020 - 2025 UT Health San Antonio; Optimal Scheduling of Physicians and Certified Registered Nurses; Role: PI

2. 2020 - 2021 UTSA; INTRA: Towards Spatiotemporally Robust Radiation Therapy; Role: PI

3. 2017 - 2018 BGSU; Summer Research Grant: Robustness in Cancer Treatments Guided by Cell Oxygenation; Role: PI

1. Sun, K., Sun, M., Agrawal, D., Dravenstott, R., Rosinia, F., & Roy, A. (2023) Equitable anesthesiologist scheduling under demand uncertainty using multi‐objective programming. Production and Operations Management, 32(11), 3699–3716.

2. Ebadi, N., Li, R., Das, A., Roy, A., Nikos, P., & Najafirad, P. (2023). CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Analysis, 86, 102800.

3. LaPatin, M., Roy, A., Poleacovschi, C., Padgett-Walsh, K., Feinstein, S., Rutherford, C., ... & Faust, K. M. (2023). Measuring ethical development of engineering students across universities and class years. International Journal of Ethics Education, 8(1), 49-65.

4. Roy, A., Dabadghao, S. S., & Marandi, A. (2022). Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance. Annals of Operations Research.

5. Bakchan, A., Roy, A., & Faust, K. M. (2022). Leveraging water-wastewater data interdependencies to understand infrastructure systems’ behaviors during COVID-19 pandemic. Journal of Cleaner Production, 367, 132962.

6. Bakchan, A., Roy, A., & Faust, K. M. (2022). Impacts of COVID-19 social distancing policies on water demand: A population dynamics perspective. Journal of Environmental Management, 302, 113949.

7. Sivabhaskar, S., Li, R., Roy, A., Kirby, N., Fakhreddine, M., & Papanikolaou, N. (2022). Machine learning models to predict the delivered positions of Elekta multileaf collimator leaves for volumetric modulated arc therapy. Journal of Applied Clinical Medical Physics, 23(8), e13667.

8. Brown, M. J., Spearing, L. A., Roy, A., Kaminsky, J. A., & Faust, K. M. (2022). Drivers of declining water access in Alaska. ACS ES&T Water, 2(8), 1411-1421.

9. Li, R., Roy, A., Bice, N., Kirby, N., Fakhreddine, M., & Papanikolaou, N. (2021). Managing tumor changes during radiotherapy using a deep learning model. Medical physics, 48(9), 5152-5164.

10. Roy, A., Widjaja, R., Wang, M., Cutright, D., Gopalakrishnan, M., & Mittal, B. B. (2021). Treatment plan quality control using multivariate control charts. Medical Physics, 48(5), 2118-2126.

11. Faust, K. M., Roy, A., Feinstein, S., Poleacovschi, C., & Kaminsky, J. (2021). Individual responsibility towards providing water and wastewater public goods for displaced persons: How much and how long is the public willing to pay?. Sustainable Cities and Society, 68, 102785.

12. Hamlet, L. C., Roy, A., Scalone, G., Lee, R., Poleacovschi, C., & Kaminsky, J. (2021). Gender and engineering identity among upper-division undergraduate students. Journal of Management in Engineering, 37(2), 04020113.

13. Routh, P., Roy, A., & Meyer, J. (2021). Estimating customer churn under competing risks. Journal of the Operational Research Society, 72(5), 1138-1155.

14. Poleacovschi, C., Faust, K., Roy, A., & Feinstein, S. (2021). Identity of engineering expertise: Implicitly biased and sustaining the gender gap. Journal of Civil Engineering Education, 147(1), 04020011.

15. Roy, A., Cutright, D., Gopalakrishnan, M., Yeh, A. B., & Mittal, B. B. (2020). A risk-adjusted control chart to evaluate intensity modulated radiation therapy plan quality. Advances in Radiation Oncology, 5(5), 1032-1041.

16. Cutright, D., Gopalakrishnan, M., Roy, A., Panchal, A., & Mittal, B. B. (2018). DVH Analytics: A DVH database for clinicians and researchers. Journal of applied clinical medical physics, 19(5), 413-427.

17. Roy, S., Tomasi, D., Conti, M., Bhusal, S., Roy, A., & Li, J. (2018, October). Optimizing message ferry scheduling in a DTN. In Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access (pp. 113-117).

18. Nohadani, O., & Roy, A. (2017). Robust optimization with time-dependent uncertainty in radiation therapy. IISE Transactions on Healthcare Systems Engineering, 7(2), 81-92.

19. Roy, A., Das, I. J., & Nohadani, O. (2016). On correlations in IMRT planning aims. Journal of Applied Clinical Medical Physics, 17(6), 44-59.

1. Sivabhaskar, S., Buatti, J., De Oliveira, M., Duke, K., Roy, A., Kirby, N, Stathakis, S., Papanikolaou, N. (2023), "Clinical implementation of the multivariate risk-adjusted control chart for monitoring plan quality", Radiotherapy and Oncology; 182. 

2. Li, R., Ebadi, N., Boutilier, J., Rad, P., Buatti, J., De Oliveira, M., Kirby, N, Papanikolaou, N., Bonnen, M., Roy, A. (2022), "A Data-Driven Fluence Map Optimization Approach to Mitigate the Risk of Deep Learning Tumor Segmentation Misclassification", Medical Physics; 49(6). 

3. Sivabhaskar, S., Li, R., Buatti, J., De Oliveira, M., Bonnen, M., Roy, A., Kirby, N, Stathakis, S., Papanikolaou, N. (2022), "Predicting 3D Gamma Passing Rates of Head-And-Neck Volumetric Modulated Arc Therapy Using Machine and Deep Learning Models", Medical Physics; 49(6). 

4. Li, R., Ebadi, N., Das, A., Roy, A., Kirby, N, Papanikolaou, N., Bonnen, M., Rad, P. (2022), "Longitudinal Lung Tumor Segmentation On CBCTs Using Sequential Transduction Neural Network and Self-Supervised Domain Adaptation", Medical Physics; 49(6). 

5. Sivabhaskar, S., Li, R., Kirby, N., Roy, A., Papanikolaou, N. (2022), "Comparison of machine and deep learning models predicting Elekta MLC leaf positions for VMAT",  Radiotherapy and Oncology; 170(S1), S1439-S1440. 

6. Bakchan, A., Roy, A., Faust, K. (2022) "Using Wastewater Flow to Understand Water System’s Demand Behavior during COVID-19 Pandemic in an Urban Metropolitan City in Texas". Construction Research Congress: CRC 2022, forthcoming. [Full-length paper].

7. Widjaja, R., Roy, A., Gopalakrishnan, M., Mittal, B (2021), "Power Transformations On Multivariate Non-Normal Radiotherapy Plan Quality Measures", Medical Physics; 48(6).

8. Li, R., Roy, A., Kirby, N., Bice, N., Sivabhaskar, S., Fakhreddine, M., Papanikolaou, N. (2021), "Managing Tumor Changes During Fractionated Radiotherapy: Evaluation On a Deep-Learning-Based Predictive Model and a Re-Planning Strategy", Medical Physics; 48(6).

9. Sivabhaskar, S., Papanikolaou, N., Kirby, N., Li, R., Roy, A. (2021), "Machine Learning Models to Predict the Delivered Positions of Elekta Multileaf Collimator Leaves for Volumetric Modulated Arc Therapy", Medical Physics; 48(6).

10. Cutright, D., Gopalakrishnan, M., & Roy, A. (2020), “Update On DVH Analytics: An Open-Source DICOM-RT Database Application”, Medical Physics; 47(6), E442-443.

11. Li, R., Das, A., Nice, N., Rad, P., Roy, A., Kirby, N., & Papanikolaou, N. (2020), “A Depthwise Separable Convolution Neural Network for Survival Prediction of Head & Neck Cancer”, Medical Physics ; 47(6), E405-406.

12. Cutright, D., Wu, T., Roy, A., Gopalakrishnan, M., & Mittal, B. (2020), “Automated Identification of DICOM-RT Structures Using Map Projections and Machine Learning”, Medical Physics; 47(6), E583.

13. Roy, A., Cutright, D., Gopalakrishnan, M., & Mittal, B. (2019), “Machine Learning in IMRT Plan Evaluation”, Medical Physics; 46(6):E107-E107.

14. Roy, A., Cutright, D., Gopalakrishnan, M., Yeh, A., & Mittal, B. (2018), “Anatomy-Adjusted Treatment Plan Quality Control”, Medical Physics; 45(6):E377-E377.

15. Cutright, D., Gopalakrishnan, M., Roy, A., Panchal, A., & Mittal, B. (2018), “DVH Analytics: An Open-Source DICOM-RT Database”, Medical Physics; 45(6):E652-E652.

16. Roy, A. & Nohadani, O. (2017), “Robustness in Hypoxia-Guided IMRT Planning”, Medical Physics; 44(6):2751.

17. Roy, A. & Nohadani, O. (2016), “Incorporating Time-Dependent Hypoxia in IMRT Planning”, Medical Physics; 43(6):3322.

18. Nohadani, O., Roy, A., & Das, I. (2015), “Unexpected Correlations Amongst Recommended Planning Aims in IMRT”, International Journal of Radiation Oncology·Biology·Physics; 93(3):E609.

19. Roy, A., Refaat, T., Baccus, I., Cutright, D., Sathiaseelan, V., Mittal, B. & Nohadani, O. (2015), “A Retrospective Correlation Analysis On Dose-Volume Control Points and Treatment Outcomes”, Medical Physics; 42(6):3347.

20. Nohadani, O., Roy, A. & Das, I. (2015), “Large-Scale DVH Quality Study: Correlated Aims Lead Relaxations”, Medical Physics; 42(6):3457.

21. Roy, A. & Nohadani, O. (2013), “Time-Resolved Stochastic IMRT Planning”, Medical Physics; 40(6):354.

22. Roy, A., Das, I., Srivastava, S., & Nohadani, O. (2013), “Analysis of Planner Dependence in IMRT”, Medical Physics; 40(6):260.

23. Loveless, A., Roy, A., Das, I., & Nohadani, O. (2013) “On Augmented DVH Analysis”, Medical Physics; 40(6):261.

24. Nohadani, O., Medawar, C., Roy, A., Srivastava, S., & Das, I. (2012) “Metrics for Comparing Dose Volume Histograms”, Medical Physics; 39(6):3851.

1. Roy, A., Nguyen, L., LaPatin, M., Poleacovschi, C., & Faust, K. (Dec 2020). Ethics in Engineering Education during COVID-19 Pandemic. ORMS Today Magazine, 47(6).

2. Nohadani, O., & Roy, A. (Jun 2016). Better cancer treatment leverages uncertainties. ISE Magazine, 49(6), 54.

Roy, A. (2015). Decision-Making in Radiation Therapy in the Presence of Uncertainties (Doctoral dissertation, Purdue University).