Devinder Kaur Source Confirmed

OverviewAI-generated summary

Devinder Kaur's research focuses on the application of advanced computational techniques to diverse scientific challenges. Her recent work includes developing a VAE-Bayesian deep learning scheme for solar power generation forecasting, which leverages dimensionality reduction to improve predictive accuracy. She has also investigated the potential of natural product-based solutions, examining jackfruit seed starch as a commercial alternative and exploring optimized chitosan edible coatings for guava preservation. Kaur's research extends to food science, with studies on the quantification of bioactive compounds in guava at different ripening stages and the impact of thermal processing on wheat bran's bioactive compounds and dietary fiber.

Further diversifying her research portfolio, Kaur is exploring the intersection of technology and animal health. Her recent publication on a smart neck collar presents an IoT-based system for disease detection and health monitoring in dairy cows. This indicates a growing interest in applying sensor technology and data analysis to agricultural and animal husbandry contexts. Kaur's publication record demonstrates a consistent output, with 111 total publications and a h-index of 22, reflecting a significant body of scholarly work. Her collaborations include work with Nikhil Singh and Daphne Macbruce, both at the University of Arkansas – Fort Smith.

Metrics

• h-index: 22
• Publications: 111
• Citations: 1,384