Publications

Swanand R. Khare

Google Scholar Profile

You can view the complete publication list on Google Scholar Profile.

Publications in Journals

  1. Beniwal, A., Saha, T., & Khare, S. R. (2025). Computation of an exact GCRD of several polynomial matrices: QR decomposition approach. Linear Algebra and its Applications, 710,471-506.
  2. Hassan, A., Paik, J. H., Khare, S. R., & Hassan, S. A. (2024). A wrapper feature selection approach using Markov blankets. Pattern Recognition, 111069.
  3. Saha, T., Rakshit, S., & Khare, S. R. (2023). Linearly structured quadratic model updating using partial incomplete eigendata. Applied Mathematics and Computation, 127891.
  4. Rakshit, S., & Khare, S. R. (2022). Solution of the linearly structured partial polynomial inverse eigenvalue problem. Journal of Computational and Applied Mathematics, 114242.
  5. Saha, T., & Khare, S. R. (2021a). Computation of the nearest non-prime polynomial matrix: Structured low-rank approximation approach. Linear Algebra and its Applications, 616, 84–124.
  6. Saha, T., & Khare, S. R. (2021b). Structured low-rank approximation: Optimization on matrix manifold approach. International Journal of Applied and Computational Mathematics, 7(6), 1–31.
  7. Saha, T., Rakshit, S., & Khare, S. R. (2021). Nearest linearly structured polynomial matrix with some prescribed distinct eigenvalues. Linear and Multilinear Algebra, 1–27.
  8. Samanta, A. K., Routray, A., Khare, S. R., & Naha, A. (2021). Minimum distance-based detection of incipient induction motor faults using rayleigh quotient spectrum of conditioned vibration signal. IEEE Transactions on Instrumentation and Measurement, 70, 1–11.
  9. Samanta, A. K., Routray, A., Khare, S. R., & Naha, A. (2020). Direct estimation of multiple time-varying frequencies of non-stationary signals. Signal Processing, 169, 107384.
  10. Rakshit, S., & Khare, S. R. (2019b). Symmetric band structure preserving finite element model updating with no spillover. Mechanical Systems and Signal Processing, 116, 415–431.
  11. Saha, T., Srivastava, S., Khare, S. R., Stanimirović, P. S., & Petković, M. D. (2019). An improved algorithm for basis pursuit problem and its applications. Applied Mathematics and Computation, 355, 385–398.
  12. Raghu, A., Yang, X., Khare, S. R., Prakash, J., Huang, B., & Prasad, V. (2018). Reservoir history matching using constrained ensemble kalman filtering. The Canadian Journal of Chemical Engineering, 96(1), 145–159.
  13. Rakshit, S., Khare, S. R., & Datta, B. N. (2018). Symmetric tridiagonal structure preserving finite element model updating problem for the quadratic model. Mechanical Systems and Signal Processing, 107, 278–290.
  14. Tulsyan, A., Khare, S. R., Huang, B., Gopaluni, B., & Forbes, F. (2018). A switching strategy for adaptive state estimation. Signal Processing, 143, 371–380.
  15. Sharma, S., Khare, S. R., & Huang, B. (2016). Robust online algorithm for adaptive linear regression parameter estimation and prediction. Journal of Chemometrics, 30(6), 308–323.
  16. Tulsyan, A., Gopaluni, R. B., & Khare, S. R. (2016). Particle filtering without tears: A primer for beginners. Computers & Chemical Engineering, 95, 130–145.
  17. Chen, J., Pan, T., Devendran, B. D., Xi, Z., Khare, S. R., Huang, B., ... Jin, C. (2015). Analysis of inter-/intra-e-plate repeatability in the real-time cell analyzer. Analytical Biochemistry, 477, 98–104.
  18. Pan, T., Li, H., Khare, S. R., Huang, B., Huang, D. Y., Zhang, W., & Gabos, S. (2015). High-throughput screening assay for the environmental water samples using cellular response profiles. Ecotoxicology and Environmental Safety, 114, 134–142.
  19. Chen, M., Khare, S. R., & Huang, B. (2014). A unified recursive just-in-time approach with industrial near infrared spectroscopy application. Chemometrics and Intelligent Laboratory Systems, 135, 133–140.
  20. Khatibisepehr, S., Huang, B., Khare, S. R., Domlan, E., Xu, F., Espejo, A., & Kadali, R. (2014). A probabilistic framework for real-time performance assessment of inferential sensors. Control Engineering Practice, 26, 136–150.
  21. Xi, Z., Khare, S. R., Cheung, A., Huang, B., Pan, T., Zhang, W., Gabos, S. (2014). Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles. Computational Biology and Chemistry, 49, 23–35.
  22. Chen, M., Khare, S. R., Huang, B., Zhang, H., Lau, E., & Feng, E. (2013). Recursive wavelength-selection strategy to update near-infrared spectroscopy model with an industrial application. Industrial & Engineering Chemistry Research, 52(23), 7886–7895.
  23. Khatibisepehr, S., Huang, B., Domlan, E., Naghoosi, E., Zhao, Y., Miao, Y., Feng, E. et al. (2013). Soft sensor solutions for control of oil sands processes. The Canadian Journal of Chemical Engineering, 91(8), 1416–1426.
  24. Khatibisepehr, S., Huang, B., & Khare, S. R. (2013). Design of inferential sensors in the process industry: A review of bayesian methods. Journal of Process Control, 23(10), 1575–1596.
  25. Pan, T., Khare, S. R., Ackah, F., Huang, B., Zhang, W., Gabos, S., Stampfl, M. (2013). In vitro cytotoxicity assessment based on kc50 with real-time cell analyzer (RTCA) assay. Computational Biology and Chemistry, 47, 113–120.
  26. Khare, S. R., Pillai, H. K., & Belur, M. N. (2012). Computing the radius of controllability for state space systems. Systems & Control Letters, 61(2), 327–333.

Publications in Conferences

  1. Hassan, A., Khare, S. R. & Paik, J.H. (2025). RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning. In The 41st Conference on Uncertainty in Artificial Intelligence.
  2. Hassan, A., Paik, J.H. & Khare, S. R. (2025). SPvR: Structured Pruning via Ranking. In The 41st Conference on Uncertainty in Artificial Intelligence.
  3. Makroo, O., Hassan, A. & Khare, S. R. (2025). SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning. In The 41st Conference on Uncertainty in Artificial Intelligence.
  4. Pote, T. C., Ganaie, M. A., Hassan, A., & Khare, S. R. (2022). Dynamic forward and backward sparse training (DFBST): Accelerated deep learning through completely sparse training schedule. In Asian conference on machine learning (pp. 848–863). PMLR.
  5. Sathish, R., Khare, S. R., & Sheet, D. (2022). Verifiable and energy efficient medical image analysis with quantised self-attentive deep neural networks. In International workshop on distributed, collaborative, and federated learning, workshop on affordable healthcare and ai for resource diverse global health (pp. 178–189). Springer.
  6. Visalakshi, V., Khare, S. R., Moheimani, S.,& Bhikkaji, B. (2021). Design of positive position feedback controllers for collocated systems. In IEEE American Control Conference (ACC 2021) (pp. 4791–4796).
  7. Rakshit, S., & Khare, S. R. (2019a). Positive semidefinite hankel structured low rank approximation using vandermonde decomposition. In 2019 fifth indian control conference (ICC) (pp. 177–182). IEEE.
  8. Saha, T., Khare, S. R.,& Datta, S. (2019). Structured real radius of controllability for higher order lti systems. In 2019 27th mediterranean conference on control and automation (med) (pp. 350–355). IEEE.
  9. Khatibisepehr, S., Huang, B., Khare, S. R., & Kadali, R. (2013). Real-time performance assessment of inferential sensors. (Vol. 46, pp. 277–282). Elsevier.
  10. Pan, T., Huang, B., & Khare, S. R. (2013). A practical algorithm to outlier detection and data cleaning for the time-dependent signal. In Proceedings of the 32nd Chinese Control Conference (pp. 1676–1679). IEEE.
  11. Pan, T., Huang, B., Khare, S. R., Zhang, W., Gabos, S., & Huang, D. Y. (2013). Development of toxicity index to evaluate the level of water contamination by using cellular responses. (Vol. 46, pp. 309–314). Elsevier.
  12. Tulsyan, A., Khare, S. R., Huang, B., Gopaluni, R. B., & Forbes, J. F. (2013). Bayesian identification of non-linear state-space models: Part I - Input Design. (Vol. 46, pp. 774–779). Elsevier.
  13. Khare, S. R., Pillai, H. K., & Belur, M. N. (2010). Algorithm to compute minimal nullspace basis of a polynomial matrix. In Proceedings of the 19th international Symposium on Mathematical Theory of Networks and Systems–MTNS (Vol. 5).
  14. Khare, S. R., Pillai, H., & Belur, M. (2010a). Computing approximate gcd of univariate polynomials. In 18th Mediterranean Conference on Control and Automation, MED’10 (pp. 437–441). IEEE.
  15. Khare, S. R., Pillai, H., & Belur, M. (2010b). Numerical algorithm for structured low rank approximation problem. In Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems–MTNS (Vol. 5).
  16. Khare, S. R., Pillai, H.,& Belur, M. (2010c). Real radius of controllability for systems described by polynomial matrices: Simo case. In Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems–MTNS (Vol. 5).
  17. Khare, S. R., Bavdekar, V. A., Kadu, S. C., Detroja, K. P., & Gudi, R. D. (2007). Scaling and discrimination issues in monitoring, fault detection and diagnosis. (Vol. 40, pp. 297–302). Elsevier.

Tutorials/Invited Talks/Contributed Talks

  1. Tutorial: D. Sheet, S. R. Khare, A. Das. “Mathematics of Deep Learning”, Full day tutorial at 7th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2019), Hubli, India.
  2. Invited Talk: S. R. Khare. “Novel method of mixture density estimation and its application on sensor limit estimation and process monitoring", IEEE International Conference on High Performance Computing, Data, and Analytics, Hyderabad 2019.
  3. Invited Talk: S. R. Khare. “Finite Element Model Updating without Spillover", Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 2019.
  4. Invited Talk: A. Anand, S. Chakraborty, S. R. Khare. “Predictive Maintenance: A randomized approach to EM algorithm”, Energy Transition Technology Summit 2018, Shell Campus, Bengaluru, 2018.
  5. Contributed Talk: T. Saha, S. R. Khare. “Structured radius of controllability for state space systems”, SIAM Annual Meeting, 2018, Portland, USA.
  6. Contributed Talk: A. Raghu, R. Li, S. R. Khare, V. Prasad. “Variogram-constrained ensemble Kalman filtering for history matching of reservoirs”, 64th Canadian Chemical Engineering Conference, October 19-22, 2014, Niagara Falls, Canada.
  7. Contributed Talk: S. R. Khare, B. Huang. “Recursive least squares algorithm with multiple forgetting factors: a Kalman filtering approach with industrial application”, 62nd Canadian Chemical Engineering Conference, October 14-17, 2012, Vancouver, Canada.
  8. Contributed Talk: S. R. Khare, H. K. Pillai, M. N. Belur. “Approximate GCD of several polynomials”, Accepted as a contributed lecture in 7th International Congress on Industrial and Applied Mathematics, Vancouver, Canada, July 2011.