Devinder Kaur Data-verified

OverviewAI-generated summary

Devinder Kaur's research interests include the application of artificial intelligence and machine learning to forecasting and disease detection, as well as food science and the characterization of plant-based materials. Her recent publications explore VAE-Bayesian deep learning for solar power generation forecasting and the optimization of ingredients for food products like waffle ice cream cones using response surface methodology. She has also investigated the potential of jackfruit seed starch as a commercial alternative and studied the impact of chemical modifications on its properties.

Further research by Kaur has focused on the quantification of bioactive compounds in guava and the optimization of edible coatings for fruit preservation. In the area of animal health, she is working on IoT-based disease detection and health monitoring systems for dairy cows using smart neck collars. Her scholarly output includes 111 publications, with an h-index of 22 and 1,384 citations. Kaur has collaborated with Nikhil Singh and Daphne Macbruce at the University of Arkansas – Fort Smith on shared publications.

Metrics

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