| 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 | 26 | 2014 |
| Hierarchical approximations for data reduction and learning at multiple scales P Shekhar, A Patra Foundations of Data Science 2 (2), 123-154, 2020 | 9 | 2020 |
| 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 | 6 | 2022 |
| 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 | 6 | 2020 |
| 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 | 5 | 2023 |
| A forward–backward greedy approach for sparse multiscale learning P Shekhar, A Patra Computer Methods in Applied Mechanics and Engineering 400, 115420, 2022 | 5 | 2022 |
| 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 | 3 | 2023 |
| Multilevel Methods for Sparse Representation of Topographical Data P Shekhar, A Patra, ER Stefanescu Procedia Computer Science 80 (2016), 887-896, 2016 | 3 | 2016 |
| 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, 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| Hierarchical regularization networks for sparsification based learning on noisy datasets P Shekhar, A Patra arXiv preprint arXiv:2006.05444, 2020 | 2 | 2020 |
| 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 | 1 | 2022 |
| 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 | 1 | 2017 |
| Multiscale and Multiresolution methods for Sparse representation of Large datasets P Shekhar, A Patra, BM Csatho Procedia Computer Science 108, 1652-1661, 2017 | 1 | 2017 |
| 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 |
| Transfer Learning in the Era of Foundational Models P Shekhar | | 2023 |
Abani PatraProfessor Mathematics and Computer ScienceVerified email at tufts.edu
