Publications, Posters and talks

Publication Link

Journal Papers

  1. Guttha, N., Miao, Z., & Shamsuddin, R. (2021). Towards the development of a substance abuse index (Sei) through informatics. Healthcare (Switzerland), 9(11). doi:10.3390/healthcare9111596

  2. Maweu, B. M., Dakshit, S., Shamsuddin, R., & Prabhakaran, B. (2021). CEFEs: A CNN Explainable Framework for ECG Signals. Artificial Intelligence in Medicine, 115. doi:10.1016/j.artmed.2021.102059

  3. Md. Mazharul Islam, Rittika Shamsuddin, Machine learning to promote health management through lifestyle changes for hypertension patients, Array, Volume 12, 2021, 100090, ISSN 2590-0056,

  4. Barbara Mukami Maweu, Sagnik Dakshit, Rittika Shamsuddin, Balakrishnan Prabhakaran. CEFEs: A CNN Explainable Framework for ECG Signals, Artificial Intelligence in Medicine, Volume 115, 2021, 102059, ISSN 0933-3657,

  5. Maweu, B. M., Shamsuddin, R., Dakshit, S., & Prabhakaran, B. (2021). Generating Healthcare Time Series Data for Improving Diagnostic Accuracy of Deep Neural Networks. IEEE Transactions on Instrumentation and Measurement, 70. doi:10.1109/TIM.2021.3077049

  6. Shamsuddin, R., Sawant, A., & Prabhakaran, B. (2017). Developing a low dimensional patient class profile in accordance to their respiration-induced tumor motion. In Proceedings of the VLDB Endowment Vol. 10 (pp. 1610-1621). doi:10.14778/3137765.3137768

  7. Balasubramanian, A., Shamsuddin, R., Prabhakaran, B., & Sawant, A. (2017). Predictive modeling of respiratory tumor motion for real-time prediction of baseline shifts. Physics in Medicine and Biology, 62(5), 1791-1809. doi:10.1088/1361-6560/aa58c3

  8. Shamsuddin, R., Doktorova, M., Jaswal, S., Lee-St.john, A., & McMenimen, K. (2013). Computational prediction of hinge axes in proteins. In 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2013. doi:10.1109/ICCABS.2013.6629199

Conference Papers

  1. A. Gupta, J. Cecil, M. Pirela-Cruz, R. Shamsuddin, S. Kennison and C. Crick, An Investigation on the Role of Affordance in the Design of Extended Reality based Environments for Surgical Training, 2022 IEEE International Systems Conference (SysCon), 2022, pp. 1-7, doi: 10.1109/SysCon53536.2022.9773802.

  2. Cecil, J., Shamsuddin, R., Kauffman, S., Gupta, A., Jin, Y., Conley, B., Dinger, C. (2022). The design of an hcc based mixed reality user interface to support astronauts in lunar activities. In AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022. doi:10.2514/6.2022-0214

  3. Ahmed, F., & Shamsuddin, R. (2021). A comparative study of credit card fraud detection using the combination of machine learning techniques with data imbalance solution. In Proceedings - 2021 2nd International Conference on Computing and Data Science, CDS 2021 (pp. 112-118). doi:10.1109/CDS52072.2021.00026

  4. Shamsuddin, R., Maweu, B. M., Li, M., & Prabhakaran, B. (2018). Virtual patient model: An approach for generating synthetic healthcare time series data. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (pp. 208-218). doi:10.1109/ICHI.2018.00031

  5. Shamsuddin, R., Wang, Y., & Prabhakaran, B. (2018). Exploring functional clinical attributes for macular dystrophy detection. In ACM International Conference Proceeding Series (pp. 38-43). doi:10.1145/3191801.3191813

  6. Shamsuddin, R., Balasubramanian, A., Sawant, A., & Prabhakaran, B. (2015). Calculating patient similarity based on respiration induced tumor motion. In Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015 (pp. 122-129). doi:10.1109/ICHI.2015.22

  7. Balasubramanian, A., Shamsuddin, R., Cheung, Y., Sawant, A., & Prabhakaran, B. (2014). Exploring baseline shift prediction in respiration induced tumor motion. In Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014 (pp. 155-160). doi:10.1109/ICHI.2014.28

Posters and Presentations

  1. (poster) Strickler, E., Shamsuddin, R. Multi-Set Machine Learning Algorithm for Disease Progression, Undergraduate Summer Research Expo, Oklahoma State University, July 27, 2021

  2. (presentation) The Identification of Hinge Proteins, Leap Symposium, Mount Holyoke College, South Hadley, MA (funded by HHMI)

  3. (poster, joint work) The Joint Recognition Problem: from CAD constraints to Kinematic Joints, Fall Workshop on Computational Geometry 2010, Stony Brook University, Stony Brook, NY

  4. (poster, presentation, teamwork in collaboration with Dr. Dan Barry and Spaulding Rehabilitation Hospital) Autonomous Robotic Wheelchair, Fall Workshop for New England Undergraduate Computing Symposium, Boston University, Boston, MA (poster award, chosen presentation)

Invited Talks

  1. Oklahoma State University’s Health & Life Sciences Technology Showcase, 2022

  2. Data Science and Healthcare Informatics, ESTEEM-Builder Summer Academy, Oklahoma State Regents for Higher Education, Edmond, OK (for encouraging high school female students). 2021

  3. Data Science, Healthcare Informatics and Forensics, Online Computer Forensics Summer Academy, NSF Summer Camp, 2021

  4. Data Science, California State University, Fullerton, Fullerton, CA, 2021