Publications

Journals:

Uncertainty quantification for DOA estimation with conformal prediction

I. Khurjekar and P.Gerstoft

Journal of Acoustical Society of America

Automated, high-accuracy classification of textured microstructures using a convolutional neural network.

I. Khurjekar, B Conry, MS Kesler, MR Tonks, AR Krause, JB Harley

Frontiers in Materials.

Hierarchical transfer learning for deep learning velocity model building

Jérome Simon, Gabriel Fabien-Ouellet, Erwan Gloaguen, I. Khurjekar

Society of Exploration Geophysicists.

Sim-to-real localization: Environment-resilient deep ensemble learning for guided wave damage localization

I.Khurjekar and J.B.Harley,

Journal of Acoustical Society of America.

Preprints:

Reliability assessment for guided wave damage localization with deep learning uncertainty quantification methods

I. Khurjekar and J. B. Harley

Under review at NDT & E International 

Conferences/workshops: 

DOA uncertainty quantification with conformal prediction

I. Khurjekar and Peter Gerstoft

IEEE International Workshop on Machine Learning and Signal Processing (MLSP), 2023, Rome, Italy.

Direction-of-arrival estimation using Gaussian process interpolation

I. Khurjekar, Peter Gerstoft, Christoph F. Mecklenbrauker, Zoi-Heleni Michalopoulou

International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, Rhode Island, Greece.

Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational autoencoder

I. Khurjekar and J. B. Harley

International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, Singapore.

Velocity model building using transfer learning

Jérome Simon, Gabriel Fabien-Ouellet, Erwan Gloaguen, Ishan Khurjekar, Mauricio Araya-Polo.

1st International Meeting for Applied Geoscience & Energy, Denver, USA.

Probabilistic deep neural network for robust and interpretable damage localization.

I. Khurjekar and J. B. Harley

13th International Workshop on Structural Health Monitoring (IWSHM), 2021, Stanford, USA.

A probabilistic approximation of damage localization strategy in the presence of uncertainty.

I. Khurjekar and J. B. Harley

4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 2021, Athens, Greece.

Deep neural network based guided wave damage localization

I.Khurjekar, J.B.Harley, 

46th Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE), 2019, Portland, USA.

Uncertainty quantification of deep learning based direction-of-arrival estimation with conformal prediction

I. Khurjekar and Peter Gerstoft.

Acoustical Society of America Meeting 2023, Chicago, USA.

Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning.
I.Khurjekar, J.B.Harley,

NeurIPS 2019 Workshop on Machine Learning and Physical Sciences, Vancouver, CA.