Young-Jin Cha

Young-Jin Cha

University of Manitoba

H-index: 34

North America-Canada

About Young-Jin Cha

Young-Jin Cha, With an exceptional h-index of 34 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Manitoba, specializes in the field of Deep learning, Structural Health Monitoring, Automation, Dynamics & Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning-based structural health monitoring

Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

Computer-implemented methods for analyzing thermographic image having article of interest using machine learning and for training machine learning algorithm therefor

Deep learning based pothole monocular depth estimation and segmentation using 3D scanner-derived depth maps

Obstacle avoidance method for autonomous UAV for structural health monitoring

Deep learning-based active noise control on construction sites

Lightweight internal damage segmentation using thermography with and without attention-based generative adversarial network

Young-Jin Cha Information

University

Position

Associate Professor

Citations(all)

8322

Citations(since 2020)

7217

Cited By

3290

hIndex(all)

34

hIndex(since 2020)

28

i10Index(all)

55

i10Index(since 2020)

48

Email

University Profile Page

University of Manitoba

Google Scholar

View Google Scholar Profile

Young-Jin Cha Skills & Research Interests

Deep learning

Structural Health Monitoring

Automation

Dynamics & Control

Top articles of Young-Jin Cha

Title

Journal

Author(s)

Publication Date

Deep learning-based structural health monitoring

Young-Jin Cha

Rahmat Ali

John Lewis

Oral Büyükӧztürk

2024/5/1

Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

Earthquake Engineering & Structural Dynamics

Esmaeil Ghorbani

Sajad S Afshari

Dagmar Svecova

Xihui Liang

Young‐Jin Cha

2024/3

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

Structural Health Monitoring

Ali Waqas

Dongho Kang

Young-Jin Cha

2024/3

Computer-implemented methods for analyzing thermographic image having article of interest using machine learning and for training machine learning algorithm therefor

2024/1/4

Deep learning based pothole monocular depth estimation and segmentation using 3D scanner-derived depth maps

STRUCTURAL HEALTH MONITORING 2023

RAHMAT ALI

YOUNGJIN CHA

2023

Obstacle avoidance method for autonomous UAV for structural health monitoring

Ali Waqas

Young-Jin Cha

2023/6/5

Deep learning-based active noise control on construction sites

Automation in Construction

Alireza Mostafavi

Young-Jin Cha

2023/7/1

Lightweight internal damage segmentation using thermography with and without attention-based generative adversarial network

Rahmat Ali

Young-Jin Cha

2023/6/5

Synthetic Thermal Image Data Generation Using Attention-Based Generative Adversarial Network for Concrete Internal Damage Segmentation

Rahmat Ali

Young-Jin Cha

2023/6/5

Deep learning-based pixel-level colonoscopy analysis

John Lewis

Young-Jin Cha

2023/6/5

Construction Noise Cancellation with Feedback Active Control Using Machine Learning

Alireza Mostafavi

Young-Jin Cha

2023/6/5

DNoiseNet: Deep learning-based feedback active noise control in various noisy environments

Engineering Applications of Artificial Intelligence

Young-Jin Cha

Alireza Mostafavi

Sukhpreet S Benipal

2023/5/1

Feedback active noise cancellation using single sensor with deep learning

Alireza Mostafavi

Young-Jin Cha

2023/6/5

Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images

Scientific Reports

John Lewis

Young-Jin Cha

Jongho Kim

2023/1/21

Fiducial marker–based localization of autonomous UAV for structural health monitoring

Ali Waqas

Young-Jin Cha

2023/6/5

Method and apparatus for active noise cancellation using deep learning

2023/9/7

Attention-based generative adversarial network with internal damage segmentation using thermography

Automation in Construction

Rahmat Ali

Young-Jin Cha

2022/6/1

Computer-implemented arrangements for processing image having article of interest

2022/11/17

Unsupervised machine and deep learning methods for structural damage detection: a comparative study

Engineering Reports

Zilong Wang

Young‐Jin Cha

2022/2/25

Efficient attention-based deep encoder and decoder for automatic crack segmentation

Structural Health Monitoring

Dong H Kang

Young-Jin Cha

2022/9

See List of Professors in Young-Jin Cha University(University of Manitoba)

Co-Authors

H-index: 141
William T. Freeman

William T. Freeman

Massachusetts Institute of Technology

H-index: 101
Fredo Durand

Fredo Durand

Massachusetts Institute of Technology

H-index: 94
Billie F. Spencer, Jr.

Billie F. Spencer, Jr.

University of Illinois at Urbana-Champaign

H-index: 67
James Ricles

James Ricles

Lehigh University

H-index: 62
Richard Sause

Richard Sause

Lehigh University

H-index: 58
Shirley J. Dyke

Shirley J. Dyke

Purdue University

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