Pooja Algikar

According to our database, Pooja Algikar authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models.

Pooja Algikar

PhD thesis, 2025

Robust Gaussian Process Regression with Huber Likelihood and Projection Pursuit.

Pooja Algikar, Lamine Mili

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

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

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

Statistical analysis and method to quantify the impact of measurement uncertainty on dynamic mode decomposition.

Pooja Algikar, Pranav Sharma, Marcos Netto, Lamine Mili

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow.

Pooja Algikar, Yijun Xu, Somayeh Yarahmadi, Lamine Mili

CoRR, 2023

2022

A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow.

Pooja Algikar, Yijun Xu, Lamine Mili

CoRR, 2022