Saranya Arirangan, PhD

Saranya Arirangan, PhD headshot

Postdoctoral Scholar

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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. 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

  2. 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 

  3. 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

  4. 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 

  5. 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

  6. 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

  7. 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