Thomas Tran, University of Ottawa

Research

Artificial Intelligence Intelligent Agents Machine Learning Multi-agent Systems Personalization Persuasion Recommender Systems Trust and Reputation Modeling

Latest papers

Users' Responsiveness to Persuasive Techniques in Recommender Systems.
Frontiers in artificial intelligence · 2021 · senior author
The impact of oral anticoagulation on time to surgery in patients hospitalized with hip fracture.
Thrombosis research · 2015 · first author
A single slice measure of epicardial adipose tissue can serve as an indirect measure of total epicardial adipose tissue burden and is associated with obstructive coronary artery disease.
European heart journal. Cardiovascular Imaging · 2014 · first author

All 3 publications

Latest funding

Establishing Trust in Multi-agent Systems and Developing an Adaptive Framework for Personalized, Persuasive Recommender Systems
NSERC · 2020 · Principal investigator
$116,000
Modeling Trust in Open, Dynamic Multi-agent Systems and Developing Framework for Predicting Consumer-generated Reviews' Helpfulness
NSERC · 2013 · Principal investigator
$100,000
Developing intelligent information systems to enhance E-Commerce
NSERC · 2008 · Principal investigator
$90,000

All 4 grants and awards

3 publications.

01

Users' Responsiveness to Persuasive Techniques in Recommender Systems.

Alslaity A, Tran T

Frontiers in artificial intelligence2021Senior author

DOI: 10.3389/frai.2021.679459 PMID: 34308340

02

The impact of oral anticoagulation on time to surgery in patients hospitalized with hip fracture.

Tran T, Delluc A, de Wit C, Petrcich W, Le Gal G, Carrier M

Thrombosis research2015First author

DOI: 10.1016/j.thromres.2015.09.017 PMID: 26428416

03

A single slice measure of epicardial adipose tissue can serve as an indirect measure of total epicardial adipose tissue burden and is associated with obstructive coronary artery disease.

Tran T, Small G, Cocker M, Yam Y, Chow BJ

European heart journal. Cardiovascular Imaging2014First author

DOI: 10.1093/ehjci/jet175 PMID: 24107904

Establishing Trust in Multi-agent Systems and Developing an Adaptive Framework for Personalized, Persuasive Recommender Systems

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Tran, Thomas

Keywords: Artificial Intelligence; Intelligent Agents; Machine Learning; Multi-agent Systems; Personalization; Persuasion; Recommender Systems; Trust and Reputation Modeling; Trust Establishment; User Modeling

$116,000

Modeling Trust in Open, Dynamic Multi-agent Systems and Developing Framework for Predicting Consumer-generated Reviews' Helpfulness

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Tran, Thomas

$100,000

Developing intelligent information systems to enhance E-Commerce

Principal investigatorNSERC2008Discovery Grants Program - Individual

Principal investigators: Tran, Thomas

$90,000

Designing electronic marketplaces for user satisfaction

Principal investigatorNSERC2005Discovery Grants Program - Individual

Principal investigators: Tran, Thomas

$54,000

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

Marc Carrier

Department of Medicine

1 shared papers, latest 2015

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: Artificial Intelligence Dear Professor Tran, 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 "Users' Responsiveness to Persuasive Techniques in Recommender Systems." (2021), 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 "Establishing Trust in Multi-agent Systems and Developing an Adaptive Framework for Personalized, Persuasive Recommender Systems" (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]