Ph.D., Rutgers University, 2020
M.Sc., Rutgers University, 2017
M.Sc., Bangladesh University of Engineering and Technology, 2011
B.Sc., Bangladesh University of Engineering and Technology, 2009
Dr. Hafiz Imtiaz completed his PhD from Rutgers University in 2020. He earned his second M.Sc. degree from Rutgers University in 2017, his first M.Sc. degree and his B.Sc. degree from BUET in 2011 and 2009, respectively. His primary area of research includes developing privacy-preserving machine learning algorithms for decentralized data settings. More specifically, he focuses on matrix and tensor factorization problems, which are core components of many modern machine learning algorithms. He is currently an Assistant Professor with the Department of Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology.
Privacy preserving machine learning, matrix and tensor factorization, decentralized computations, neuro-imaging analysis, deep neural networks.
Rutgers University ECE Graduate Program Academic Achievement Award
Rutgers University PhD Research Excellence Award
1. Hafiz Imtiaz and Anand D. Sarwate, Distributed Differentially Private Algorithms for Matrix and Tensor Factorization, IEEE Journal of Selected Topics in Signal Processing, Dec 2018. https://doi.org/10.1109/JSTSP.2018.2877842
2. Hafiz Imtiaz, Jafar Mohammadi and Anand D. Sarwate, Correlation-Assisted Distributed Differentially Private Estimation, NeurIPS 2019 Workshop on Privacy in Machine Learning, Dec 2019. https://priml-workshop.github.io/priml2019/