Optimizing the minimum spanning tree-based extracted clusters using evolution strategy. - Zahid Halim; Uzma (Clust. Comput., 2018)

Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach. - Uzma; Zahid Halim (Appl. Soft Comput., 2020)

Clustering of graphs using pseudo-guided random walk. - Zahid Halim; Hussain Mahmood Sargana; Aadam; Uzma; Muhammad Waqas 001 (J. Comput. Sci., 2021)

An ensemble filter-based heuristic approach for cancerous gene expression classification. - Uzma; Zahid Halim (Knowl. Based Syst., 2021)

Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data. - Uzma; Feras N. Al-Obeidat; Abdallah Tubaishat; Babar Shah; Zahid Halim (Neural Comput. Appl., 2022)

Protein encoder: An autoencoder-based ensemble feature selection scheme to predict protein secondary structure. - Uzma; Usama Manzoor; Zahid Halim (Expert Syst. Appl., 2023)

EnviroPiNet: A Physics-Guided AI Model for Predicting Biofilter Performance. - Uzma; Fabien Cholet; Domenic Quinn; Cindy Smith; Siming You; William Sloan (CoRR, 2025)