| Thermodynamically consistent physics-informed neural networks for hyperbolic systems RG Patel, I Manickam, NA Trask, MA Wood, M Lee, I Tomas, EC Cyr Journal of Computational Physics 449, 110754, 2022 | 133 | 2022 |
| A multisensory approach to present phonemes as language through a wearable haptic device N Dunkelberger, JL Sullivan, J Bradley, I Manickam, G Dasarathy, ... IEEE Transactions on Haptics 14 (1), 188-199, 2020 | 46 | 2020 |
| Conveying language through haptics: A multi-sensory approach N Dunkelberger, J Sullivan, J Bradley, NP Walling, I Manickam, ... Proceedings of the 2018 ACM International Symposium on Wearable Computers, 25-32, 2018 | 44 | 2018 |
| Contextual multi-armed bandit algorithms for personalized learning action selection I Manickam, AS Lan, RG Baraniuk 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 23 | 2017 |
| Solving high-dimensional inverse problems with auxiliary uncertainty via operator learning with limited data J Hart, M Gulian, I Manickam, LP Swiler Journal of Machine Learning for Modeling and Computing 4 (2), 2023 | 5 | 2023 |
| Machine learning based resilience testing of an address randomization cyber defense G Mani, M Haliem, B Bhargava, I Manickam, K Kochpatcharin, M Kim, ... IEEE Transactions on Dependable and Secure Computing 20 (6), 4853-4867, 2023 | 4 | 2023 |
| Error-in-variables modelling for operator learning R Patel, I Manickam, M Lee, M Gulian Mathematical and Scientific Machine Learning, 142-157, 2022 | 3 | 2022 |
| Moving target defense for space systems C Jenkins, E Vugrin, I Manickam, N Troutman, J Hazelbaker, S Krakowiak, ... 2021 IEEE Space Computing Conference (SCC), 60-71, 2021 | 3 | 2021 |
| IdeoTrace: a framework for ideology tracing with a case study on the 2016 US presidential election I Manickam, AS Lan, G Dasarathy, RG Baraniuk Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 3 | 2019 |
| Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification J Hart, I Manickam, M Gulian, L Swiler, D Bull, T Ehrmann, H Brown, ... arXiv preprint arXiv:2409.06846, 2024 | 2 | 2024 |
| GraphAlign: Graph-Enabled Machine Learning for Seismic Event Filtering J Michalenko, I Manickam, S Heck Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Facilitating Atmospheric Source Inversion via Operator Regression. J Hart, M Gulian, I Manickam, LP Swiler Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022 | | 2022 |
| Facilitating Atmospheric Source Inversion via Deep Operator Network Surrogates. M Gulian, J Hart, I Manickam, LP Swiler Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Error-in-variables modelling for operator learning. M Gulian, R Patel, I Manickam, L Myoungkyu Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Thermodynamically consistent physics-informed neural networks for hyperbolic systems. I Manickam, RG Patel, NA Trask, M Wood, MNMN Lee, I Tomas, EC Cyr Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2021 | | 2021 |
| Tracing Political Ideology on Twitter During the 2016 US Presidential Election I Manickam Rice University, 2019 | | 2019 |
