Area of Specialization
- Control Systems
- State and parameter estimation
- Design of data-driven estimation algorithms.
Teaching Experience
2 Months
Academic Qualifications
Ph.D.: Indian Institute of Engineering Science and Technology (IIEST), Shibpur (Thesis Submitted).
M. Tech.: National Institute of Technology, Durgapur 2020
Date of Joining 02-12-25
Published Journals
- Yadav, P., Piri, J., Sengupta, A., & Sengupta, M. (2025). Harmonics estimation of power signals in presence of non-Gaussian and non-stationary noise. International Journal of Control, 1-12.
- Yadav, P., Dey, A., & Sengupta, A. (2025). Adaptive multi-kernel maximum correntropy based divided difference filter for nonlinear state estimation with measurement outliers and unknown noise covariance. International Journal of Systems Science, 1-20.
- Yadav, P., Piri, J., Sengupta, A., & Sengupta, M. (2025). Q‐Learning‐Based Adaptive Student’s t Maximum Correntropy Cubature Kalman Filter for Non‐Gaussian Noise With Unknown Noise Covariances. International Journal of Adaptive Control and Signal Processing.
- Yadav, P., & Sengupta, A. (2025). Cluster-aware and feature-guided deep learning framework with fusion weighting for state of health prediction of li-ion batteries. Ionics, 31(9), 9341-9358.
- Yadav, P., Piri, J., Sengupta, A., & Sengupta, M. (2025). Adaptive maximum correntropy UKF with Trust Region Policy Optimization for power system harmonic estimation under non-Gaussian noise with unknown noise covariances. Elecrical Engineering..
- Yadav, P., & Dey, A. (2020). Power system harmonics estimation using adaptive Kalman filter and its nonlinear variants. Journal of the Indian Chemical Society, 97(10b), 1901-1909.