Sajjad Azami

University of Victoria

H-index: 3

North America-Canada

About Sajjad Azami

Sajjad Azami, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Victoria, specializes in the field of Machine Learning, Online Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities

Exploring fair machine learning in sequential prediction and supervised learning

Sajjad Azami Information

University	University of Victoria
Position	M.Sc. Student
Citations(all)	41
Citations(since 2020)	36
Cited By	29
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	University of Victoria
Google Scholar	View Google Scholar Profile

Sajjad Azami Skills & Research Interests

Machine Learning

Online Learning

Computer Vision

Top articles of Sajjad Azami

Title	Journal	Author(s)	Publication Date
Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities	Scientific reports	Dany Doiron Eleanor M Setton Jeffrey R Brook Yan Kestens Gavin R McCormack ...	2022/11/1
Exploring fair machine learning in sequential prediction and supervised learning		Sajjad Azami	2020