Dr. K. Aditya Mohan is a Principal Investigator and a Staff Engineer in the Computational Engineering Division at Lawrence Livermore National Laboratory. He received his MS and PhD degrees in Electrical and Computer Engineering from Purdue University. His research is in the areas of computational imaging, inverse problems, and signal/image processing. He has formulated, published, and patented numerous image reconstruction and data analysis methods for several imaging modalities including Phase-Contrast Computed Tomography (CT), Time-Space 4D CT, Dual-Energy CT, Electron CT, and Magnetic Resonance Imaging (MRI).

Research Interests

Inverse Problems, Computational Imaging, Numerical Optimization, Machine/Deep Learning, Computed Tomography, Optics

 

Ph.D., Electrical and Computer Engineering, Purdue University, 2017

M.S., Electrical and Computer Engineering, Purdue University, 2014

B.Tech., Electronics and Communication Engineering, National Institute of Technology Karnataka, 2010

Patents

• K. A. Mohan, K. Champley, "3D Segmentation using Space Carving and 2D Convolutional Neural Networks", U.S. Patent No. 11,568,656. 31 Jan. 2023.
• H. Kim, R. Anirudh, K. Champley, K. A. Mohan, A. W. Reed, and S. Jayasuriya, "Reconstruction of dynamic scenes based on collect views'', U.S. Patent Application 17/208,849, 2022.

Journal Publications

• K. A. Mohan, J. B. Forien, V. Sridhar, J. A. Cuadra, and D. Parkinson, "Non-Linear Phase-Retrieval Algorithms for X-ray Propagation-Based Phase-Contrast Tomography", submitted to IEEE Transactions on Computational Imaging, 2023.
• K. A. Mohan, A. D. Kaplan, "AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning", arXiv:2010.15987, Nov. 2020.
• A. D. Kaplan, Q. Cheng, K. A. Mohan, L. D. Nelson, S. Jain, H. Levin, A. Torres-Espin, A. Chou, J. R. Huie, A. R. Ferguson, M. McCrea, J. Giacino, S. Sundaram, A. J. Markowitz, G. T. Manley, "Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data", arXiv:2012.12310, Dec. 2020.
• R. M. Panas, J. A. Cuadra, K. A. Mohan, and R. Morales, "A Systems Approach to Estimating the Uncertainty Limits of X-ray Radiographic Metrology", ASME. J. Micro Nano-Manuf, Dec. 2020, doi: https://doi.org/10.1115/1.4049421.
• K. A. Mohan, R. M. Panas and J. A. Cuadra, "SABER: A Systems Approach to Blur Estimation and Reduction in X-Ray Imaging," in IEEE Transactions on Image Processing, vol. 29, pp. 7751-7764, 2020, doi: 10.1109/TIP.2020.3006339.
• M. Busi, K. A. Mohan, A. A. Dooraghi, K. M. Champley, H. E. Martz, and U. L. Olsen, "Method for System-Independent Material Characterization from Spectral X-ray CT", NDT & E International, vol. 107, pp. 102136, Oct. 2019
• K. A. Mohan, Prabhat KC, C. Phatak, M. De Graef, C. Bouman, "Model-Based Iterative Reconstruction of Magnetization using Vector Field Electron Tomography," IEEE Transactions on Computational Imaging, vol. 4, no. 3, pp. 432-446, Sept. 2018.
• Prabhat KC, K. A. Mohan, C. Phatak, C. Bouman, M. De Graef, "3D Reconstruction of the Magnetic Vector Potential using Model Based Iterative Reconstruction," Ultramicroscopy, vol. 182, pp. 131-144, 2017.
• J. W. Gibbs, K. A. Mohan, E. B. Gulsoy, A. J. Shahani, X. Xiao, C. A. Bouman, M. De Graef, P. W. Voorhees, "The Three-Dimensional Morphology of Growing Dendrites," Nature Scientific Reports, vol. 5, 2015
• K. A. Mohan, S. V. Venkatakrishnan, J. W. Gibbs, E. B. Gulsoy, X. Xiao, M. De Graef, P. W. Voorhees, C. A. Bouman, "TIMBIR: A Method for Time-Space Reconstruction from Interlaced Views," IEEE Transactions on Computational Imaging, vol. 1, no. 2, pp. 96-111, June 2015

Conference Publications

• W. Li, V. Sridhar, K. A. Mohan, S. Singh, J. B. Forien, X. Liu, G. T. Buzzard, and C. A. Bouman,
  "X-ray Spectral Estimation using Dictionary Learning", accepted for publication at IEEE International
  Conference on Image Processing, 2023.
• J. Liu, R. Anirudh, J. J. Thiagarajan, S. He, K. A. Mohan, U. S. Kamilov, and H. Kim, "DOLCE: A
  Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction", submitted for
  publication at the International Conference on Computer Vision (ICCV) 2023.
• K. A. Mohan, K. M. Champley, A. W. Reed, S. M. Glenn, H. E. Martz Jr., "Iterative reconstruction
  of the electron density and effective atomic number using a non-linear forward model", Proc. SPIE
  12104, Anomaly Detection and Imaging with X-Rays (ADIX) VII, 1210403, 2022).
• K. A. Mohan, D. Y. Parkinson, J. A. Cuadra, "Constrained Non-Linear Phase Retrieval for Single
  Distance X-ray Phase Contrast Tomography", IS&T International Symposium on Electronic Imaging,
  2020.
• H. Kim, R. Anirudh, K. A. Mohan, K. Champley, "Extreme Few-view CT Reconstruction using Deep
  Inference", NeurIPS 2019 Workshop Deep Inverse, 2019.
• R. Anirudh, H. Kim, J. J. Thiagarajan, K. A. Mohan, K. Champley, "Improving Limited Angle CT
  Reconstruction with a Robust GAN Prior", NeurIPS 2019 Workshop Deep Inverse, 2019.
• R. Anirudh, H. Kim, J. J. Thiagarajan, K. A. Mohan, K. Champley, T. Bremer, "Lose the Views:
  Limited Angle CT Reconstruction via Implicit Sinogram Completion", 2018 IEEE/CVF Conference on
  Computer Vision and Pattern Recognition, pp. 6343-6352, 2018.
• K. A. Mohan, "Design of 4D X-ray Tomography Experiments for Reconstruction using Regularized
  Iterative Algorithms", Proceedings SPIE, Developments in X-Ray Tomography XI, vol. 10391, 2017.
• K. A. Mohan, X. Xiao, C. A. Bouman, "Direct Model-Based Tomographic Reconstruction of the
  Complex Refractive Index," IEEE International Conference on Image Processing (ICIP), pp. 1754-
  1758, Sept. 2016. (Student best paper award)
• S. V. Venkatakrishnan, K. A. Mohan, K. Beattie, J. Correa, E. Dart, J. R. Deslippe, A. Hexemer, H.
  Krishnan, A. A. MacDowell, S. Marchesini, S. J. Patton, T. Perciano, J. A. Sethian, R. Stromsness, B.
  L. Tierney, C. E. Tull, D. Ushizima,and D. Y. Parkinson, "Making Advanced Scientic Algorithms and
  Big Scientic Data Management More Accessible", Electronic Imaging, Computational Imaging XIV,
  pp. 1-7, Feb. 2016.
• X. Wang, K. A. Mohan, S. Kisner, C. Bouman, and S. Mikdi, "Fast Voxel Line Update for Time-
  Space Image Reconstruction," IEEE International Conference on Acoustics, Speech and Signal Process-
  ing (ICASSP), pp. 1209-1213, March 2016.
• K. A. Mohan, S. V. Venkatakrishnan, J. W. Gibbs, E. B. Gulsoy, X. Xiao, M. De Graef, P. W.
  Voorhees, C. A. Bouman, "4D model-based iterative reconstruction from interlaced views," IEEE In-
  ternational Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 783-787, April 2015
• K. A. Mohan, S. V. Venkatakrishnan, L. F. Drummy, J. Simmons, D. Y. Parkinson, C. A. Bouman,
  "Model-based iterative reconstruction for synchrotron X-ray tomography," IEEE International Confer-
  ence on Acoustics, Speech and Signal Processing (ICASSP), pp. 6909-6913, May 2014
• K. A. Mohan, C. R. Murthy, "Cooperative sequential binary hypothesis testing using cyclostationary
  features," IEEE Eleventh International Workshop on Signal Processing Advances in Wireless Commu-
  nications (SPAWC), pp. 1-5, June 2010
• K. A. Mohan, A. K. Senapathi, R. Shankar, N. Bhat and V. Kumar, "Hardware acceleration of real
  time sh eye correction on FPGA," National Conference on Information Sciences, Manipal, March 2009.
• K. A. Mohan, A. K. Senapathi, R. Shankar, N. Bhat and V. Kumar, "Hardware acceleration of real
  time stitching of streaming videos from multiple sheye cameras," National Conference on Information
  Sciences, Manipal, March 2009.

• IEEE Senior Member, awarded in April 2020
• Student best paper award at the IEEE International Conference on Image Processing (ICIP) 2016
• Finalist for the Werner Meyer-Ilse Memorial award at the X-ray Microscopy Conference (XRM) 2016, OX, UK
• First prize in an entrepreneurial competition called Surathkal Innovation Challenge 2010 held at Na-tional Institute of Technology Karnataka, Surathkal, India