Email: mahwish@ustc.tsg211.com
Research Directions:
Machine Learning, Data Mining, Human Computer Interaction (HCI)
Dr. Mahwish Yousaf, female, is a postdoctoral research fellow at the School of Computer Science and Technology, University of Science and Technology of China. She received a PhD degree at the School of Computer Science and Technology, University of Science and Technology of China in 2021. She received a Master degree in Information Technology from University of Gujrat, Pakistan in 2016. She received her Bachelor’s degree in Computer Science from University of the Punjab, Lahore, Pakistan in 2012. Mainly engaged in the research of machine learning, dimension reduction, manifold learning, etc. Published research works have been appeared in several prestigious international journals.
Representative Works:
Mahwish Yousaf, Tanzeel U Rehman, Dong Liang Liao, Naji Alhusaini, and Li Jing, FastIsomapVis: A Novel Approach for Nonlinear Manifold Learning, IEEE Access, vol. 8, pp. 199470-199481, 2020. DOI: 10.1109/ACCESS.2020.3017954
Mahwish Yousaf, M. Saadat Khan, Tanzeel U Rehman, Shamsher Ullah and Li Jing, “NRIC: A Noise Removal Approach for Nonlinear Isomap Method”, Neural Processing Letters, 8 March 2021. DOI: 10.1007/s11063-021-10472-3
Mahwish Yousaf, Tanzeel U Rehman, and Li Jing, An Extended Isomap Approach for Nonlinear Dimension Reduction, SN Computer Science A Springer Nature Journal 9 May 2020. DOI: 10.1007/s42979-020-00179-y
