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

2. 2023 - 2024 HEB & UTSA School of Data Science; Data Science and AI Community Innovation Scholars program; Role: Faculty Advisor

3. 2020 - 2021 UTSA; INTRA: Towards Spatiotemporally Robust Radiation Therapy; Role: PI

4. 2017 - 2018 BGSU; Summer Research Grant: Robustness in Cancer Treatments Guided by Cell Oxygenation; Role: PI

1. Sun, K., Roy, A., Tobin, J. (2024) Artificial Intelligence and Machine Learning: Definition of Terms and Current Concepts in Critical Care Research. Journal of Critical Care; 82, 154792.

2. Yang, E., Sass, D., Roy, A., Edwards, M., Faust. K. (2024) Exploring Aspects of Water Infrastructure System Trust in US Shrinking Cities. ACS ES&T Water; 4(2), 669-679.

3. 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.

4. 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.

5. 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.

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

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

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

16. 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.

17. 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.

18. 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.

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

20. 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. 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. 

2. 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).

1. Sivabhaskar, S., Buatti, J., De Oliveira, M., Duke, K, Roy, A., Yeh, A., Kirby, N., Papanikolaou N. (2023), "Clinical Implementation of the Multivariate Risk-Adjusted Hotelling’s T2 control Chart for Monitoring Brainstem Dose", Medical Physics; 50(6). 

2. 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. 

3. 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). 

4. 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). 

5. 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). 

6. 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. 

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).