Note: Below, ∗ denotes my Ph.D. student, † my M.S. student, and ‡ my B.Tech. student.

Refereed Journal Publications (Total 20)

  1. A. A. Shastri*, K. Ahuja, M. B. Ratnaparkhe, and Y.Busnel. Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics. PeerJ, 9:e11927, 2021.

  2. R. Agrawal* and K. Ahuja. CSIS: Compressed Sensing based Enhanced-Embedding Capacity Image Steganography Scheme. IET Image Processing, WILEY, DOI:10.1049/ipr2.12161, 2021 (available online).

  3. C. Gautam, A. Tiwari, S. Suresh, and K. Ahuja. Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Transactions on Systems, Man, and Cybernetics:Systems, vol. 51 (3), pp. 1917 – 1932, 2021.
  1. P. C. Mane*, K. Ahuja, and N. Krishnamurthy. Stability, Efficiency, and Contentedness of Social Storage Networks. Annals of Operations Research, Springer, vol. 287, pp. 811 - 842, 2020.

  2. S. Gupta†, S. Ullah, K. Ahuja, A. Tiwari and A. Kumar. ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks. IEEE Access, vol. 8, pp. 118899 - 118911, 2020.

  3. N. P. Singh* and K. Ahuja. Preconditioned Linear Solves for Parametric Model Order Reduction. International Journal of Computer Mathematics, Taylor & Francis, vol. 97 (7), pp. 1484 - 1502, 2020.

  4. P. C. Mane*, K. Ahuja and N. Krishnamurthy. Externalities in Endogenous Sharing Economy Networks. Applied Economics Letters, Taylor & Francis, vol. 27 (17), pp. 1404 – 1408, 2020.

  5. N. P. Singh* and K. Ahuja. Reusing Preconditioners in Projection Based Model Order Reduction Algorithms. IEEE Access, vol. 8, pp. 133233 - 133247, 2020.
  1. A. A. Shastri*, K. Ahuja, M. B. Ratnaparkhe, A. Shah‡, A. Gagrani‡, and A. Lal‡. Vector Quantized Spectral Clustering Applied to Whole Genome Sequences of Plants. Evolutionary Bioinformatics, SAGE, vol. 15, pp. 1 - 7, 2019.

  2. R. Agrawal*, K. Ahuja, C. Hao Hoo, T. D. Anh Nguyen, and A. Kumar. Parallel FPGA Router using Sub-Gradient method and Steiner tree. Electronics, MDPI, vol. 8 (12), article no. 1439, 2019.

  3. P. C. Mane*, N. Krishnamurthy, and K. Ahuja. Formation of Stable and Efficient Social Storage Cloud. GAMES, MDPI, vol. 10(4), article no. 44, 2019.

  4. C. Gautam, R. Balaji‡, K. Sudharsan‡, A. Tiwari, and K. Ahuja. Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. Knowledge-Based Systems, Elsevier, vol. 165, pp. 241 – 252, 2019.

  5. R. Choudhary* and K. Ahuja. Inexact Linear Solves In Model Reduction of Bilinear Dynamical Systems. IEEE Access, vol. 7, pp. 72297 – 72307, 2019.
  1. A. A. Shastri*, D. Tamrakar, and K. Ahuja. Density-Wise Two Stage Mammogram Classification using Texture Exploiting Descriptors. Expert Systems with Applications, Elsevier, vol. 99, pp. 71 - 82, 2018.

  2. R. Choudhary* and K. Ahuja. Stability Analysis of Bilinear Iterative Rational Krylov Algorithm. Linear Algebra and its Applications, Elsevier, vol. 538, pp. 56 - 88, 2018.

  3. K. Ahuja, P. Benner, E. de Sturler, and L. Feng. Recycling BiCGSTAB with an Application to Parametric Model Order Reduction. SIAM Journal on Scientific Computing, vol. 37(5), pp. S429 - S446, 2015.

  4. A. Amritkar, E. de Sturler, K. Świrydowicz, D. Tafti, and K. Ahuja. Recycling Krylov Subspaces for CFD Applications and a New Hybrid Recycling Solver. Journal of Computational Physics, Academic Press, Elsevier, vol. 303, pp. 222 - 237, 2015.
  1. K. Ahuja, E. de Sturler, S. Gugercin, and E. R. Chang. Recycling BiCG with an Application to Model Reduction. SIAM Journal on Scientific Computing, vol. 34(4), pp. A1925 - A1949, 2012.

  2. K. Ahuja, B. K. Clark, E. de Sturler, D. M. Ceperley, and J. Kim. Improved Scaling for Quantum Monte Carlo on Insulators. SIAM Journal on Scientific Computing, vol. 33(4), pp. 1837 - 1859, 2011.

  3. K. Ahuja, L. T. Watson, and S. C. Billups. Probability-One Homotopy Maps for Mixed Complementarity Problems. Computational Optimization and Applications, Springer, vol. 41(3), pp. 363 - 375, 2008.