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Prashant Shekhar
Prashant Shekhar
Data Science/Mathematics at Embry-Riddle Aeronautical University
Verified email at erau.edu - Homepage
Title
Cited by
Cited by
Year
Dynamic scheduling of oil tankers with splitting of cargo at pickup and delivery locations: a Multi-objective Ant Colony-based approach
MKT FTS Chan, P Shekhar
International Journal of Production Research 52 (24), 7436-7453, 2014
302014
SVD enabled data augmentation for machine learning based surrogate modeling of non-linear structures
SS Parida, S Bose, M Butcher, G Apostolakis, P Shekhar
Engineering Structures 280, 115600, 2023
102023
Hierarchical approximations for data reduction and learning at multiple scales
P Shekhar, A Patra
Foundations of Data Science 2 (2), 123-154, 2020
92020
Label-free flow cytometry of rare circulating tumor cell clusters in whole blood
N Vora, P Shekhar, M Esmail, A Patra, I Georgakoudi
Scientific Reports 12 (1), 10721, 2022
72022
A forward–backward greedy approach for sparse multiscale learning
P Shekhar, A Patra
Computer Methods in Applied Mechanics and Engineering 400, 115420, 2022
62022
Alps: a unified framework for modeling time series of land ice changes
P Shekhar, B Csatho, T Schenk, C Roberts, AK Patra
IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6466-6481, 2020
62020
Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry
N Vora, P Shekar, T Hanulia, M Esmail, A Patra, I Georgakoudi
Lab on a Chip 24 (8), 2237-2252, 2024
32024
Object shape error modelling and simulation during early design phase by morphing Gaussian random fields
M Babu, P Franciosa, P Shekhar, D Ceglarek
Computer-Aided Design 158, 103481, 2023
32023
Multilevel Methods for Sparse Representation of Topographical Data
P Shekhar, A Patra, ER Stefanescu
Procedia Computer Science 80 (2016), 887-896, 2016
32016
Exploiting the redundancy in icesat-2 geolocated photon data (atl03), a multiscale data reduction approach
P Shekhar, B Csatho, T Schenk, A Patra
Authorea Preprints, 2022
22022
Machine Learning Based Surrogate Model to Predict Engineering Demand Parameters
SS Parida, M Butcher, S Bose, G Apostolakis, P Shekhar
12th national conference on earthquake engineering. Salt Lake City, Utah, USA, 2022
22022
Hierarchical regularization networks for sparsification based learning on noisy datasets
P Shekhar, A Patra
arXiv preprint arXiv:2006.05444, 2020
22020
Hierarchical Data Reduction and Learning
P Shekhar, A Patra
arXiv preprint arXiv:1906.11426, 2019
12019
Controlling evanescent waves on-chip using all-dielectric metamaterials for dense photonic integration
S Jahani, S Kim, J Atkinson, JC Wirth, F Kalhor, A Al Noman, ...
no. c, 5-6, 2017
12017
Multiscale and Multiresolution methods for Sparse representation of Large datasets
P Shekhar, A Patra, BM Csatho
Procedia Computer Science 108, 1652-1661, 2017
12017
Transfer Learning in the Era of Foundational Models: Application to Diagnosis in Rheumatology
P Shekhar
2024
Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States
MMH El-Sayed, SS Parida, P Shekhar, A Sullivan, CJ Hennigan
Environmental Science & Technology 57 (46), 18151-18161, 2023
2023
Hierarchical regularization networks for sparsification based learning on noisy datasets
P Shekhar, M Babu, A Patra
Foundations of Data Science, 2023
2023
Meet the clusters: a deep learning approach for label-free detection of circulating tumor cell clusters using flow cytometry
N Vora, P Shekhar, J Kwan, M Esmail, A Patra, I Georgakoudi
Multiscale Imaging and Spectroscopy IV, PC123630A, 2023
2023
Deep CNN-Based Automated Optical Inspection for Aerospace Components
SB Jha, R Babiceanu, P Shekhar, S Namilae
Available at SSRN 4776798, 2023
2023
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