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Ming Shen

Aalborg University

Denmark

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Research Interests

Electromagnetic

80%

Hardware Engineering

100%

Microwave Engineering

80%

Signal Processing

30%

Metasurface

30%

Radio Frequency Engineering

20%

Biomechanic

20%

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Articles19

Electrical impedance detects early stages of bone healing: An in vivo explanatory study of tibial fractures in rabbits

Article Link

Year:

2024

A survey of the fusion of traditional data security technology and blockchain

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Year:

2024

Design and Evaluation of a Novel Passive Shoulder Exoskeleton Based on a Variable Stiffness Mechanism Torque Generator for Industrial Applications

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Year:

2024

Space-Time-Coding Digital Metasurface Element Design Based on State Recognition and Mapping Methods with CNN-LSTM-DNN

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Year:

2024

Preprocessing-Based Fast Design of Multiple EM Structures With One Deep Neural Network

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Year:

2024

Dual-Polarization 1-bit/Quasi-2-bit Low-Cost Programmable Metasurface With Merged Control Circuit

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Year:

2024

Fast and Automatic Parametric Model Construction of Antenna Structures Using CNN–LSTM Networks

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Year:

2024

Efficient Digital Signal Recovery for Satellite Communications With Active Phased Arrays

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Year:

2023

Robust Payload Recognition Based on Sensor-Over-Muscle-Independence Deep Learning for the Control of Exoskeletons

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Year:

2023

Wideband Dielectric Patch Antenna With Stable Radiation Pattern

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Year:

2023

Representation Learning-Driven Fully Automated Framework for the Inverse Design of Frequency-Selective Surfaces

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Year:

2023

Adversarial attacks and active defense on deep learning based identification of GaN power amplifiers under physical perturbation

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Year:

2023

Transfer-Learning-Assisted Multielement Calibration for Active Phased Antenna Arrays

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Year:

2023

Fully Automated Design Method Based on Reinforcement Learning and Surrogate Modeling for Antenna Array Decoupling

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Year:

2023

A High-Quality Data Acquisition Method for Machine-Learning-Based Design and Analysis of Electromagnetic Structures

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Year:

2023

A Machine Learning Framework for the Design of STCDME Structures in RIS Applications

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Year:

2023

Adapting to Nonlinear Transmitters With Hybrid Model Training for Neural Receivers

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Year:

2023

Lab to Multi-Scene Generalization for Non-Line-of-Sight Identification With Small-Scale Datasets

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Year:

2023

Bayesian-Inspired Sampling for Efficient Machine-Learning-Assisted Microwave Component Design

Article Link

Year:

2023

Collaborators12

Naser Ojaroudi Parchin

Assistant Professor (Lecturer

Edinburgh Napier University

UNITED KINGDOM

Martin Hedegaard Nielsen

Aalborg University

DENMARK

Zhaohui Wei

Aalborg University

DENMARK

Zhao Zhou

Aalborg University

DENMARK

Qirui Hua

Aalborg University

DENMARK

Markus Winther Frost

Aalborg University

DENMARK

Gert F. Pedersen

Aalborg University

DENMARK

Ole Kiel Jensen

Associate professor

Aalborg University

DENMARK

Ole Rahbek

Clinical Professor, Consultant

Aalborg University Hospital

DENMARK

Rafal Wisniewski

Professor at Aalborg University

Aalborg University

DENMARK

Shaoping Bai

Aalborg University

DENMARK

Søren Kold

Aalborg University

DENMARK

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