Saranya Arirangan, PhD

Saranya Arirangan, PhD headshot

Postdoctoral Scholar

Email | ORCID | Google Scholar | LinkedIn

Saranya Arirangan is a postdoctoral researcher at Purdue University specializing in genomics and single-cell data analysis. Her research focuses on machine learning methods for cross-species genomic prediction, disease progression modeling, and understanding cell translation mechanisms through gene expression data.

Publications

  1. Thompson, K.N., Couvy-Duchesne, B., Lee, S.H., Geurgas, R.‍, Jeong, Y., Arirangan, S., Newman, S., Tropft, F.C., and Wedow, R. (2026). Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-026-03098-0

  2. Arirangan, S., de Oliveira, L.F., Hasan, M.N., Sherman, A.B., Tuinstra, M., Brito, L.F., Wedow, R., and Tegtmeyer, M. Sharing approaches in predictive genomics across animals, plants and humans. (2026). Nature Genetics. http://doi.org/10.1038/s41588-025-02491-w

  3. de Oliveira, L.F., Dunkelberger, J., Sevillano, C.A., Arirangan, S., Wedow, R., Tegtmeyer, M., Tuinstra, M., & Brito, L.F. (2025). Genetics of reproductive performance across Porcine Reproductive and Respiratory Syndrome (PRRS) outbreak phases in purebred and crossbred sows. Genetics Selection Evolution. https://doi.org/10.1186/s12711-025-01011-y

  4. Arirangan, S., & Kottursamy, K. (2021). Multi‐scaled feature fusion enabled convolutional neural networks for predicting fibrous dysplasia bone disorder. Expert Systems, 40(4). https://doi.org/10.1111/exsy.12882 

  5. Arirangan, S., Kottursamy, K., AlZubi, A. A., & Bashir, A. K. (2021). Analyzing fibrous tissue pattern in fibrous dysplasia bone images using deep R-CNN networks for segmentation. Soft Computing, 26(16), 7519–7533. https://doi.org/10.1007/s00500-021-06519-1

  6. Arirangan, S., Bhambri, M., & Ganesan, V. (2021). A cost-effective smart E-bin system for garbage management using convolutional neural network. In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1–6). IEEE. http://dx.doi.org/10.1109/ICSCAN53069.2021.9526547

  7. Arirangan, S. & Kottilingam, K. (2021). An efficient combined approach for denoising fibrous dysplasia images. 2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1–6). IEEE. https://doi.org/10.1109/ICSCAN53069.2021.9526412

  8. Arirangan, S. & Kottilingam, K. (2021). A survey on bone fracture identification techniques using quantitative and learning-based algorithms. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 241–248). IEEE. https://doi.org/10.1109/ICAIS50930.2021.9395817

  9. Mehra, R., Pachpor, K., Kottilingam, K., & Arirangan, S. (2020). An initiative to prevent Japanese encephalitis using genetic algorithm and artificial neural network. 2020 International Conference on Computational Intelligence (ICCI) (pp. 142–148). IEEE. https://doi.org/10.1109/ICCI51257.2020.9247744 

< Back to Team