JAEMIN BAEK

Assistant Professor

Gangneung-Wonju National University

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

JAEMIN BAEK is an Assistant Professor at Gangneung-Wonju National University in South Korea. His research interests include robotics, particularly in optimal data bandwidth for neural network models, compressive sensing, and control algorithms for robot manipulators. Additionally, he explores microstructural optimization of viscoelastic composites and image reconstruction techniques in synthetic aperture radar (SAR). His recent publications reflect a strong focus on dynamic modeling and control systems in engineering applications.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (1)

Chang Mook Kang

Incheon National University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

JAEMIN BAEK

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators

Compressive Sensing-Based Omega-K Algorithm for SAR Focusing

Robust ISAR Autofocus for Nonuniformly Rotating Target

Effective Denoising of InSAR Phase Images via Compressive Sensing

SAR Image Reconstruction via Incremental Imaging With Compressive Sensing

A Synthesized Sliding-Mode Control for Attitude Trajectory Tracking of Quadrotor UAV Systems

A Widely Time-delayed Control Algorithm with Integral Sliding Manifold for Robot Manipulators

Dynamic Model Learning and Control of Robot Manipulator Based on Multi-layer Perceptron Neural Network,다층 퍼셉트론 신경망 기반 로봇 매니퓰레이터의 동적 모델 학습 및 제어

Microstructural Topology Optimization of Viscoelastic Composites for Upper and Lower Bounds of Effective Relaxation Moduli,점탄성 복합재료의 유효 완화계수의 상하한값에 대한 미세구조 위상최적설계

Efficient and Accurate Synthesis for Array Pattern Shaping

A Practical Adaptive Sliding-Mode Control for Extended Trajectory-Tracking of Articulated Robot Manipulators

Efficient SAR Imaging Integrated With Autofocus via Compressive Sensing

A Computational Homogenization Method to Evaluate Effective Stress Relaxation Moduli of Viscoelastic Composites

A Combined Approach of Classification and Regression for Oriented Object Detection of Missiles

SAR Image Change Detection via Multiple-Window Processing with Structural Similarity

A Model-Free Control Scheme for Attitude Stabilization of Quadrotor Systems

Practical Approach for Developing Lateral Motion Control of Autonomous Lane Change System

Practical Adaptive Sliding-Mode Control Approach for Precise Tracking of Robot Manipulators

Collaborators (1)

Chang Mook Kang

Make your next move.