A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow. - Pooja Algikar; Yijun Xu 001; Lamine Mili (CoRR, 2022)

A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow. - Pooja Algikar; Yijun Xu 001; Somayeh Yarahmadi; Lamine Mili (CoRR, 2023)

Statistical analysis and method to quantify the impact of measurement uncertainty on dynamic mode decomposition. - Pooja Algikar; Pranav Sharma; Marcos Netto; Lamine Mili (CDC, 2024)

Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics. - Pooja Algikar; Lamine Mili; Kiran Karra; Akash Algikar; Mohsen Ben Hassine (ISGT, 2024)

Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models. - Pooja Algikar (2025)