Ashish Khisti in

Ashish Khisti

Examiner · DISC type sc
Affiliate Faculty Member at Vector Institute
📍 Toronto, Ontario, Canada

Ashish Khisti is a Professor in Electrical and Computer Engineering at the University of Toronto and a Faculty Affiliate at the Vector Institute. His research focuses on information theory, machine learning, and wireless communications, particularly in their application to deep learning and secure communication. He earned his Bachelors from the University of Toronto and his PhD from MIT.

He is a Distinguished Lecturer for the IEEE Information Theory Society for 2023-2025 and previously held a Canada Research Chair in Wireless Networks for a decade. His work has earned him an Ontario Early Researcher Award and a Cisco Research Center Award.

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Experience
13 Years
Current Role
Affiliate Faculty Member
Location
Toronto, Ontario, Canada
Personality Overview

How Ashish shows up

Overcautious
Process Oriented
Tough To Convince

The only way to convince them is by showing them examples and ample proof. Being observant comes to them naturally. They are quite aware of their needs and limitations, so they are unlikely to over-promise.

Priorities

Topics Ashish cares about

Information Theory
His core research area, focusing on applications in deep learning, distributed learning, and foundation models.
Deep Learning
A primary focus of his current research, particularly its intersection with information theory, as noted by his work at the Vector Institute.
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Career

Work history

6-2023
Affiliate Faculty Member
Vector Institute
7-2019
Professor in Electrical and Computer Engineering
University of Toronto
5-2015 - 6-2019
Associate Professor
University of Toronto
9-2009 - 5-2015
Assistant Professor
University of Toronto
7-2023 - 7-2024
Visiting Professor
Qualcomm
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2002 - 2008
Education details unavailable
Massachusetts Institute of Technology
1998 - 2002
BASC
University of Toronto
Social presence
in
Behavioral profile

DISC profile (public)

s

Steadiness (S)

Steadiness (S) reflects the degree to which a person is likely to focus on cooperation, support and taking everyone along. Those scoring high tend to be consistent and calm.

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