Il-Min Kim, Queen's University

Research

Read how they describe their research on their Queen's University profile.

Deep Learning AI Communications Signal Processing

Latest papers

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network.
Scientific reports · 2026
Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices.
Sensors (Basel, Switzerland) · 2023

All 2 publications

Latest funding

Revolutionizing Physical Layer Security for Wireless Communications
NSERC · 2014 · Principal investigator
$185,000
Adaptive Spectrum Allocation and Sensing for Cognitive Communication
NSERC · 2011 · Co-investigator
$504,000
Enhanced cooperative diversity communications
NSERC · 2009 · Principal investigator
$125,000

All 4 grants and awards

2 publications.

01

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network.

Juraev R, Kim IM, Yun S, Kang JM

Scientific reports2026

DOI: 10.1038/s41598-025-34973-6 PMID: 41513733

02

Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices.

Han N, Kim IM, So J

Sensors (Basel, Switzerland)2023

DOI: 10.3390/s23104929 PMID: 37430843

Revolutionizing Physical Layer Security for Wireless Communications

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: KIM, ILMIN

$185,000

Adaptive Spectrum Allocation and Sensing for Cognitive Communication

Co-investigatorNSERC2011Strategic Projects - Group

Principal investigators: Gazor, Saeed

$504,000

Enhanced cooperative diversity communications

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Kim, IlMin

$125,000

Globally optimized MIMO communication systems for multimedia services

Principal investigatorNSERC2004Discovery Grants Program - Individual

Principal investigators: Kim, IlMin

$115,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

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 mention

Subject: Prospective PhD student: Deep Learning Dear Professor Kim, 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 "Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network." (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.] 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]