Research articles

• Anurag Singh & Nitu Kumari. Modeling moose–wolf interactions in Isle Royale National Park using sparse identification of nonlinear dynamics. Scientific Reports 15, 34683 (2025). https://doi.org/10.1038/s41598-025-08874-7

• Nitu Kumari & Anurag Singh. Data-driven enhancement of the Hastings–Powell model using sparse identification algorithm. Journal of Computational Science (2025): 102682. https://doi.org/10.1016/j.jocs.2025.102682

• Nitu Kumari, Anurag Singh* & Arun Kumar. The first mathematical model for elk-wolf interaction in Yellowstone National Park using E-SINDy algorithm. Ecological Modelling 516 (2026): 111574. https://doi.org/10.1016/j.ecolmodel.2026.111574 

*Corresponding author

Ongoing work

• Anurag Singh, Nitu Kumari & Khemraj Shukla. A digital twin of moose–wolf dynamics on Isle Royale using physics-informed neural networks.

• Anurag Singh & Nitu Kumari. Learning Moose–Wolf Predator–Prey Dynamics from Data with Gaussian Process and Sparse Regression Framework.

Projects

• "Cable exposure: detecting when power cables are exposed to the open sea." sponsored by Ørsted, a renewable energy company ( joint work with Abdeltif Oujbara, Joseph, Reza Babaei, and Ramin Jalilian).

In an industry project with Ørsted, developed data-driven methods to detect subsea power cable exposure using temperature and electrical load data.

Compared multiple models, including Dynamic Time Warping, Isolation Forest, CNNs, and PINNs, to identify anomalies. Implemented a Physics-Informed Neural Network (PINN) to solve the inverse problem, estimating key physical parameters of the cable system from sensor data to create a digital twin.