| Robust Gaussian process regression with Huber likelihood P Algikar, L Mili arXiv preprint arXiv:2301.07858, 2023 | 9 | 2023 |
| A robust data-driven process modeling applied to time-series stochastic power flow P Algikar, Y Xu, S Yarahmadi, L Mili IEEE Transactions on Power Systems 39 (1), 693-705, 2023 | 4 | 2023 |
| Electromechanical wave propagation analysis in power systems S Yarahmadi, P Algikar, L Mili 2022 IEEE PES Generation, Transmission and Distribution Conference and …, 2022 | 3 | 2022 |
| Electromechanical Wave Propagation for Disturbance Arrival Time Assessment in Power Systems S Yarahmadi, P Algikar, L Mili 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 2 | 2023 |
| Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic P Algikar, L Mili, MB Hassine, S Yarahmadi, AM Boker 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
| A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow P Algikar, Y Xu, L Mili 2022 IEEE Power & Energy Society General Meeting (PESGM), 5, 2022 | 1 | 2022 |
| Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models PB Algikar Virginia Tech, 2025 | | 2025 |
| Statistical analysis and method to propagate the impact of measurement uncertainty on dynamic mode decomposition P Algikar, P Sharma, M Netto, L Mili arXiv preprint arXiv:2403.17318, 2024 | | 2024 |
| Measurement Uncertainty Impact on Koopman Operator Estimation of Power System Dynamics P Algikar, P Sharma, M Netto, L Mili arXiv preprint arXiv:2403.17339, 2024 | | 2024 |
| Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics P Algikar, L Mili, K Karra, MB Hassine arXiv preprint arXiv:2309.07814, 2023 | | 2023 |
| Robust Hyperparameter Estimation in Gaussian Process Regression Model P Algikar, L Mili | | 2023 |
Lamine MiliVirginia TechVerified email at vt.edu
