Ruslan Salakhutdinov
Canadian AI researcher
From Wikipedia, the free encyclopedia
Ruslan Salakhutdinov (Russian: Руслан Салахутдинов; born c. 1980) is a Canadian researcher of Tatar origin working in the field of artificial intelligence.
Ruslan Salakhutdinov | |
|---|---|
Salakhutdinov in 2016 | |
| Born | c. 1980 (age 45–46) Tashkent, Uzbekistan. Father Ravil Salahutdinov born in 1949. |
| Alma mater | University of Toronto |
| Scientific career | |
| Fields | Computer science Artificial intelligence |
| Institutions | Carnegie Mellon University |
| Thesis | Learning deep generative models (2009) |
| Doctoral advisor | Geoffrey Hinton |
| Notable students | Yang Zhilin |
He specializes in deep learning, probabilistic graphical models, and large-scale optimization.[1]
Life
Salakhutdinov's doctoral advisor was Geoffrey Hinton.[2] Salakhutdinov was considering quitting the field of artificial intelligence when he met Hinton in 2004, but changed his mind after Hinton asked him to take part in a project focused on a new way to train artificial neural networks, which he dubbed "deep belief networks." This research made a large impact on the field of deep learning.[3]
He received his PhD in 2009.[4]
He is well known for having developed Bayesian Program Learning.[2]
Career
Salakhutdinov is a professor of computer science at Carnegie Mellon University.[5]
Since 2009, he has published at least 42 papers on machine learning.[6]
Salakhutdinov joined Apple as its director of AI research in 2016 but left in 2020 to return to Carnegie Mellon University.[1][7][8]
In June 2023, Salakhutdinov joined Felix Smart which is a company that uses AI to take care for plants and animals as Board Director.[9]
