Pin-Han Ho, University of Waterloo

Latest papers

CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation.
Artificial intelligence in medicine · 2026 · senior author
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data.
Social network analysis and mining · 2022 · senior author

All 2 publications

Latest funding

mmWoC: A Novel Indoor Millimeter Wave Access Architecture
NSERC · 2021 · Principal investigator
$156,000
A Computational Model on Spectrum Sensing and Resource Allocation in Internet of Things (IoT) Systems
NSERC · 2019 · Principal investigator
$25,000
Studies on joint source-channel coding approaches for multicast of successfully refined sources
NSERC · 2016 · Principal investigator
$270,000

All 22 grants and awards

2 publications.

01

CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation.

Zhou J, Zhang Y, Hu F, Zhang X, Ho PH

Artificial intelligence in medicine2026Senior author

DOI: 10.1016/j.artmed.2026.103388 PMID: 41734640

02

DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data.

Hayawi K, Mathew S, Venugopal N, Masud MM, Ho PH

Social network analysis and mining2022Senior author

DOI: 10.1007/s13278-022-00869-w PMID: 35309873

mmWoC: A Novel Indoor Millimeter Wave Access Architecture

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Ho, Pin-Han

Keywords: integrated access backhaul (iab); 5g nr; indoor coverage; indoor system; interference mitigation; radio over copper (roc); precoding; multi-user detection (mud); privacy preservation

$156,000

A Computational Model on Spectrum Sensing and Resource Allocation in Internet of Things (IoT) Systems

Principal investigatorNSERC2019Engage Grants Program

Principal investigators: Ho, PinHan

$25,000

Studies on joint source-channel coding approaches for multicast of successfully refined sources

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Ho, Pin-Han

$270,000

A Novel Multimedia Content Enabling Technology

Principal investigatorNSERC2016Idea to Innovation

Principal investigators: Ho, PinHan

$15,000

Studies on joint source-channel coding approaches for multicast of successfully refined sources

Principal investigatorNSERC2016Discovery Grants Program - Accelerator Supplements

Principal investigators: Ho, PinHan

$120,000

Real-time content snapshot acquisition in billboard/signage networks

Principal investigatorNSERC2015Engage Grants Program

Principal investigators: Ho, PinHan

$25,000

Software Defined Radio Platform for Cross RF/PHY/Network/Application Layer Study in Cloud Random Access Networks

Co-investigatorNSERC2015Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Khandani, AmirKeyvan

$148,280

Failure localization in all-optical mesh wavelength division multiplexing (WDM) networks

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Ho, PinHan

$160,000

Touchscreen with Infrared (IR) Photo Diode and Sensors

Principal investigatorNSERC2011Engage Grants Program

Principal investigators: Ho, PinHan

$21,500

Cooperative billboard networks (CBN)

Principal investigatorNSERC2011Engage Grants Program

Principal investigators: Ho, PinHan

$25,000

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

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Paper to mentionMention their NSERC grant from 2021

Subject: Prospective PhD student Dear Professor Ho, 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 "CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation." (2026), 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 "mmWoC: A Novel Indoor Millimeter Wave Access Architecture" (2021), 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]