DML
DML Sharif University of Technology

Mojtaba Bahrami

Group Data Science and Machine Learning
Entrance 2017

have received my B.Sc. in Electrical Engineering and M.Sc. in Computer Engineering, Artificial Intelligence both from Sharif University of Technology, Tehran, Iran. In my graduate study, I focused on machine learning and deep learning in biomedical applications. I had the opportunity to be a visiting scholar at Mcgill University, School of Computer Science working with Dr. Yue Li and research assistant at Computer Aided Medical Procedures Lab, Technical University of Munich, Germany, under the supervision of Prof. Nassir Navab. Now I am a team lead senior data scientist at Hengam.io where we build and develop AI-based E-commerce solutions for Shopify merchants to grow their business.

Node representation learning in challenging data domains and distributions's cover
Node representation learning in challenging data domains and distributions

Feb. 2, 2019, 8 a.m.

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
M. Ghorbani , M. Bahrami , A. Kazi , M.S. Baghshah , H.R. Rabiee and N. Navab

2021

Springer

Deep feature extraction of single-cell transcriptomes by generative adversarial network
M. Bahrami , M. Maitra , C. Nagy , G. Turecki , H.R. Rabiee and Y. Li

2021

Oxford, England