Conference Proceedings

  1. Handling Phase Offset Errors in Processing 3-point Encoded 4D-Flow MRI Using Machine Learning R D’Souza, A Pashaei, O Amili, A Arzani, Bulletin of the American Physical Society, 2023
  2. Machine Learning-Based Denoising and Imputation of Unsteady Cardiovascular Flow Data H Csala, O Amili, R D’Souza, A Arzani, Bulletin of the American Physical Society, 2023
  3. Input parametrized physics-informed neural networks for super-resolution of hemodynamic flow images R D’Souza Bulletin of the American Physical Society, 2022
  4. Solving thin boundary layer problems with physics-informed machine learning inspired by perturbation theory A Arzani, K Cassel, R D’Souza, Bulletin of the American Physical Society, 2022
  5. Object detection to assist visually impaired people: A deep neural network adventure, Fereshteh S Bashiri, Eric LaRose, Jonathan C Badger, Roshan M D’Souza, Zeyun Yu, Peggy Peissig, Advances in Visual Computing: 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19–21, 2018, Proceedings 13.
  6. Bakhshinejad, A., Baghaie, A., Rayz, V. L., & D’Souza, R. M. (2016). A proper orthogonal decomposition approach towards merging CFD and 4D-PCMR flow data. Proceedings of the 28th Society for Magnetic Resonance Angiography, Chicago, IL, USA, 21-23.
  7. Christopher Spiewak, Mohammad Arifur Rahaman, Mohammad Habibur Rahman, Roshan D’Souza, Maarouf Saad, Design and Control of a Robotic Assistive Device for Hand Rehabilitation (RAD-HR), Proceedings of the 3rd International Conference on Control, Dynamic Systems, and Robotics (CDSR’16) Ottawa, Canada – May 9 – 10,b 2016 , Paper No. 109 , DOI: 10.11159/cdsr16.109
  8. Bakhshinejad, A., Rayz, V. L., & D’Souza, R. M. (2016). Reconstructing blood velocity profiles from noisy 4D-PCMR data using ensemble Kalman filtering. In Biomedical Engineering Society (BMES)-Annual Meeting, Minneapolis, Minnesota.
  9. A. Bakhshinejad and R. M. D’souza, “A brief comparison between available bio-printing methods,” 2015 IEEE Great Lakes Biomedical Conference (GLBC), Milwaukee, WI, USA, 2015, pp. 1-3, doi: 10.1109/GLBC.2015.7158294.
  10. A. Baghaie, R. M. D’souza and Z. Yu, “Sparse and low rank decomposition based batch image alignment for speckle reduction of retinal OCT images,” 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, 2015, pp. 226-230, doi: 10.1109/ISBI.2015.7163855.
  11. Baghaie, A., D’Souza, R.M., Yu, Z. (2015). Dense Correspondence and Optical Flow Estimation Using Gabor, Schmid and Steerable Descriptors. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_37
  12. Baghaie, A., Yu, Z., D’souza, R.M. (2014). Fast Mesh-Based Medical Image Registration. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_1
  13. Michael Keenan, Ivan Komarov, Roshan M. D’Souza, and Rick Riolo. 2012. Novel graphics processing unit-based parallel algorithms for understanding species diversity in forests. In Proceedings of the 2012 Symposium on High Performance Computing (HPC ’12). Society for Computer Simulation International, San Diego, CA, USA, Article 10, 1–9.
  14. DV Gladkov, S Alberts, RM D’Souza, S Andrews, Accelerating the Smoldyn spatial stochastic biochemical reaction network simulator using GPUs, 2012, Proceedings of the 19th High Performance Computing Symposia, 151-158
  15. Komarov, I, Alberts, ST, & D’Souza, RM. “Towards Physics-Based Interactive Design for Manufacturing of Cast Parts Using Smoothed Particle Hydrodynamics on GPUs.” Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B. Washington, DC, USA. August 28–31, 2011. pp. 379-387. ASME. https://doi.org/10.1115/DETC2011-48598
  16. Denis Gladkov, José-Juan Tapia, and Roshan M. D’Souza. 2010. Preliminary work on graphics processing unit based direct simulation Monte Carlo. In Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation (GCMS ’10). Society for Modeling & Simulation International, Vista, CA, 59–65.
  17. J. J. Tapia and R. D’Souza, “Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units,” 2009 IEEE International Conference on Systems, Man and Cybernetics, San Antonio, TX, USA, 2009, pp. 1411-1418, doi: 10.1109/ICSMC.2009.5346282.
  18. D’Souza, R.M.; Lysenko, M.; Marino, S.; Kirschner, D.; Souza, R.M.D.; Arbor, A. Data-parallel algorithms for agent-based model simulation of tuberculosis on graphics processing units. In Proceedings of the 2009 Spring Simulation Multiconference, San Diego, CA, USA, 22–27 March 2009.
  19. Richards, RS, Lysenko, M, D’Souza, RM, & An, G. “Data-Parallel Techniques for Agent-Based Tissue Modeling on Graphics Processing Units.” Proceedings of the ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B. Brooklyn, New York, USA. August 3–6, 2008. pp. 57-64. ASME. https://doi.org/10.1115/DETC2008-49661
  20. D’Souza, R. M., Lysenko, M., & Rahmani, K. (2007, November). Sugarscape on steroids: simulating over a million agents at interactive rates. In Proceedings of Agent2007 conference. Chicago, IL.
  21. Lysenko, M, Rahmani, K, & D’Souza, R. “Real Time Machinability Analysis of Free Form Surfaces on the GPU.” Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B. Las Vegas, Nevada, USA. September 4–7, 2007. pp. 57-61. ASME. https://doi.org/10.1115/DETC2007-34902
  22. Watkins, M, Rahmani, K, & D’Souza, R. “Finding the Maximal Turning State of an Arbitrary Mesh.” Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B. Las Vegas, Nevada, USA. September 4–7, 2007. pp. 63-67. ASME. https://doi.org/10.1115/DETC2007-34907
  23. D’Souza, RM. “Tool Sequence Selection for 2.5-D Pockets With Uneven Stock.” Proceedings of the ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 4: 24th Computers and Information in Engineering Conference. Salt Lake City, Utah, USA. September 28–October 2, 2004. pp. 953-959. ASME. https://doi.org/10.1115/DETC2004-57747
  24. Medichalam, MS, Shah, JJ, & D’Souza, R. “N-Rep: A Neutral Feature Representation to Support Feature Mapping and Data Exchange Across Applications.” Proceedings of the ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 4: 24th Computers and Information in Engineering Conference. Salt Lake City, Utah, USA. September 28–October 2, 2004. pp. 599-609. ASME. https://doi.org/10.1115/DETC2004-57712