ITU FM 90.4
6th Floor,
Arfa Software Technology Park, Lahore
P (042) - 111-111-ITU (488)
Ms. Hira Yaseen's interest lies in exploring unsupervised representation learning, scalable and generalizable subspace clustering solutions, and estimation of height, weight and BMI of humans using in-the-wild images. Over time Ms. Hira has developed interest in the applications of subspace clustering algorithms such as Human Activity Recognition (HAR).
Ms. Hira Yaseen is currently pursuing her PhD in Computer Science from Information Technology University (ITU). She received her Masters degree in the field of Computer Science from COMSATS University. Her research interests lie in the area of Self-Supervised Learning to get Better Low-Dimensional Representation of High-Dimensional Manifold Data and Building Cost-Effective Subspace Affinities for Clustering using Machine Learning, Computer Vision, and Deep Learning.
