Select Publications

Journal Articles

  1. Buzzard, G.T., Chan, S.H., Sreehari, S., and Bouman, C.A. (2018). “Plug-and-play unplugged: Optimization-free reconstruction using consensus equilibrium.” SIAM Journal on Imaging Sciences, 11(3), 2001-2020. arXiv:1705.08983
    Led to $1.2M NSF grant (Award #1763896)

  2. Sreehari, S., Venkatakrishnan, S.V., Wohlberg, B., Buzzard, G.T., Drummy, L.F., Simmons, J.P., and Bouman, C.A. (2016). “Plug-and-play priors for bright field electron tomography and sparse interpolation.” IEEE Transactions on Computational Imaging, 2(4), 408-423. arXiv:1512.07331
    🏆 2020 SIAM Imaging Sciences Best Paper Prize
    🏆 2018 IEEE Signal Processing Society Young Author Best Paper Award

  3. Sullivan, S.Z., Muir, R.D., Newman, J.A., Carlsen, M.S., Sreehari, S., Doerge, C., Begue, N.J., Everly, R.M., Bouman, C.A., and Simpson, G.J. (2014). “High frame-rate multichannel beam-scanning microscopy based on Lissajous trajectories.” Optics Express, 22(20), 24224-24234.

  4. Sreehari, S., Wu, H., and Ahmadi, M. (2012). “Application of new classes of Mersenne primes for fast modular reduction for large-integer multiplication.” International Journal of Cyber-Security and Digital Forensics, 1(1), 15-19.

Conference Proceedings

  1. Sreehari, S., Ramuhalli, P., and Liu, F. (2025). “Differential Geometric View of Information Flow in Neural Nets.” IS&T Electronic Imaging (Computational Imaging).

  2. Lunga, L. and Sreehari, S. (2025). “Can Adversarial Manipulations Undermine Super-Resolution Algorithms?” IS&T Electronic Imaging (Computational Imaging).

  3. Sreehari, S. and Santos-Villalobos, H. (2023). “Bias-mitigated face ID using secure generative transforms.” SPIE Applications of Machine Learning.

  4. Bhaduri, A., Santos-Villalobos, H., and Sreehari, S. (2023). “Measuring transform invertibility with computational metrics.” SPIE Applications of Machine Learning.

  5. Sreehari, S. (2020). “Visualization transforms of non-spatial data for convolutional neural networks.” SPIE Applications of Machine Learning, vol. 11511, p. 115110K.

  6. Sreehari, S., Venkatakrishnan, S.V., Bouman, K.L., Simmons, J.P., Drummy, L.F., and Bouman, C.A. (2017). “Multi-resolution data fusion for super-resolution electron microscopy.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 88-96.

  7. Geiger, A., Newman, J.A., Sreehari, S., Sullivan, S.Z., Bouman, C.A., and Simpson, G.J. (2017). “Sparse sampling image reconstruction in Lissajous trajectory beam-scanning multiphoton microscopy.” SPIE High-Speed Biomedical Imaging and Spectroscopy, vol. 10076, p. 1007606.
    🏆 SPIE Best Paper Award

  8. Sreehari, S., Venkatakrishnan, S.V., Drummy, L., Simmons, J., and Bouman, C.A. (2015). “Rotationally-invariant non-local means for image denoising and tomography.” IEEE International Conference on Image Processing (ICIP), pp. 542-546.

  9. Sreehari, S., Venkatakrishnan, S.V., Drummy, L.F., Simmons, J.P., and Bouman, C.A. (2015). “Advanced prior modeling for 3D bright field electron tomography.” SPIE Computational Imaging XIII, vol. 9401, p. 940108.

  10. Sreehari, S., Wu, H., and Ahmadi, M. (2012). “Fast modular reduction for large-integer multiplication for cryptosystem application.” Second International Conference on Digital Information and Communication Technology and its Applications (DICTAP), pp. 226-229.

Book in Preparation

Sreehari, S. (Expected 2027). Mathematical Fluency.

Sreehari, S. (Expected 2027). A Computational Imaging Anthology.

Patents

  1. High frame-rate multichannel beam-scanning microscopy (US Patent US10409047B2, 2019)

  2. Bias-Mitigated Face ID Systems using Mix-and-Matched Generative Networks (US Patent Pending, 2024; Provisional Patent 2023)
    🏆 Wells Fargo Medallion for Most Innovative Patent (2020)

  3. Network Based Features for Financial Crime Detection (US Provisional Patent, 2019)

Theses

  1. Sreehari, S. (2017). “Advanced Prior Modeling for Nano-scale Imaging.” PhD dissertation, Purdue University. Purdue e-Pubs

  2. Sreehari, S. (2012). “Fast Modular Reduction for Large-Integer Multiplication.” Master of Applied Science dissertation, University of Windsor, Canada. Scholarship at UWindsor