Jian Zhao, University of Waterloo

Research

Computer Supported Cooperative Work Data Science Exploratory Data Analysis Human-Computer Interaction Information Visualization Knowledge Discovery Knowledge Externalization Visual Analytics

Latest papers

Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach.
JMIR serious games · 2025
Structure, Property, and Performance of Catalyst Layers in Proton Exchange Membrane Fuel Cells.
Electrochemical energy reviews · 2023 · first author
Controlled Synthesis of Carbon-Supported Pt-Based Electrocatalysts for Proton Exchange Membrane Fuel Cells.
Electrochemical energy reviews · 2022

All 3 publications

Latest funding

CLAWAVE - Chemical load assessments for watersheds: automation and visualization experience
NSERC · 2022 · Co-investigator
$471,520
Visualization techniques for collaborative data analysis
NSERC · 2020 · Principal investigator
$120,000
Visualization techniques for collaborative data analysis
NSERC · 2020 · Principal investigator
$12,500

All 4 grants and awards

3 publications.

01

Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach.

Jiang J, Li S, Li X, Xu Y, Zhao J, An P

JMIR serious games2025

DOI: 10.2196/62778 PMID: 40249120

02

Structure, Property, and Performance of Catalyst Layers in Proton Exchange Membrane Fuel Cells.

Zhao J, Liu H, Li X

Electrochemical energy reviews2023First author

DOI: 10.1007/s41918-022-00175-1 PMID: 37007279

03

Controlled Synthesis of Carbon-Supported Pt-Based Electrocatalysts for Proton Exchange Membrane Fuel Cells.

Liu H, Zhao J, Li X

Electrochemical energy reviews2022

DOI: 10.1007/s41918-022-00173-3 PMID: 36212026

CLAWAVE - Chemical load assessments for watersheds: automation and visualization experience

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Van Cappellen, Philippe PSJ

Keywords: Citizen science; Climate change; Data management systems; Eutrophication; Interactive data visualization; Water quality; Watershed chemical load estimation

$471,520

Visualization techniques for collaborative data analysis

Principal investigatorNSERC2020Discovery Grants Program - Accelerator Supplements

Principal investigators: Zhao, Jian

$120,000

Visualization techniques for collaborative data analysis

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Zhao, Jian

$12,500

Visualization techniques for collaborative data analysis

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Zhao, Jian

Keywords: information visualization; visual analytics; human-computer interaction; data science; exploratory data analysis; computer supported cooperative work; visual storytelling; knowledge discovery; knowledge externalization

$170,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Xianguo Li

Mechanical and Mechatronics Engineering

2 shared papers, latest 2023

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Computer Supported Cooperative Work Dear Professor Zhao, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Visualization techniques for collaborative data analysis" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]