Prof. Dae-Young Kim | Industrial | Best Researcher Award

Prof. Dae-Young Kim | Industrial | Best Researcher Award

Professor at Soonchunhyang University, South Korea

👨‍🎓 Profiles

Orcid

Research Gate

Publications

GLBRF: Group-Based Lightweight Human Behavior Recognition Framework in Video Camera

  • Authors: Young-Chan Lee, So-Yeon Lee, Byeongchang Kim, Dae-Young Kim
  • Journal: Applied Sciences
  • Year: 2021

A Modern Recommendation System Survey in the Big Data Era

  • Authors: Sony Peng, Doo-Soon Park, Dae Young Kim, Yixuan Yang, Sophort Siet, Sadriddinov Ilkhomjon, Hyejung Lee
  • Journal: Advances in Computer Science and Ubiquitous Computing
  • Year: 2023

Data Aggregation-based Transmission Method in Ultra-Dense Wireless Networks

  • Authors: Dae-Young Kim, Seokhoon Kim
  • Journal: Intelligent Automation & Soft Computing
  • Year: 2023

Hyperparameter Tuning and Comparison Analysis of the DNN Model to Predict Wireless Network Conditions of Live Video Services

  • Authors: SoYeon Lee, Dae-Young Kim
  • Journal: Innovative Mobile and Internet Services in Ubiquitous Computing
  • Year: 2023

LoRa Backscatter Network Efficient Data Transmission Using RF Source Range Control

  • Authors: Dae-Young Kim, SoYeon Lee, Seokhoon Kim
  • Journal: Computers, Materials & Continua
  • Year: 2023

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Shiwei Liu at Huazhong Agricultural University, China

Profiles

Scopus

Orcid

Education

  • Ph.D. in Mechanical Engineering – Huazhong University of Science and Technology (HUST), 2019
  • M.E. in Measurement Technology and Instrumentation – HUST, 2016
  • B.E. in Mechanical Design Manufacturing and Automation – Hubei University of Technology, 2014

💼 Professional Experience

Assoc Prof Dr. Shiwei Liu has extensive professional experience in the field of engineering and research. He has been an Associate Professor and Doctoral Supervisor at Huazhong Agricultural University since April 2022, leading the Intelligent Nondestructive Testing and Digital Equipment Group. Prior to this role, he served as a Postdoctoral Research Fellow at Huazhong University of Science and Technology from June 2019 to March 2022, focusing on advanced nondestructive testing methodologies. Liu earned his Ph.D. in Mechanical Engineering from HUST in 2019, along with a Master’s degree in Measurement Technology and Instrumentation. His academic foundation includes a Bachelor’s degree in Mechanical Design Manufacturing and Automation from Hubei University of Technology. Throughout his career, he has made significant contributions to research, teaching, and the development of innovative technologies.

🔬 Research Interests

  • Nondestructive testing (NDT) techniques
  • Structural health monitoring
  • Advanced sensor development
  • AI algorithms and pattern recognition

🏆 Honors & Awards

  • Best Researcher Award, International Research Awards on High Energy Physics and Computational Science, 2024
  • Best Paper Award, ICMSD 2023
  • National Scholarship for Doctoral Candidates, Ministry of Education of China, 2018

 

Publications

Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising

  • Authors: Liu, S., Shan, L., Liu, Y., Sun, Y., He, L.
  • Journal: Structural Health Monitoring
  • Year: 2024

Magnetic focusing sensor and its characterizations of defect non-destructive testing for ferromagnetic steel plate

  • Authors: Liu, S., Hua, X., Liu, Y., Lin, W., Wang, Q.
  • Journal: NDT and E International
  • Year: 2024

Nondestructive testing of runny salted egg yolk based on improved ConvNeXt-T

  • Authors: Chen, H., Chang, Y., Chen, Y., Liu, S., Wang, Q.
  • Journal: Journal of Food Science
  • Year: 2024

Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification

  • Authors: Liu, S., Liu, Y., Wang, Q., Sun, Y., He, L.
  • Journal: Applied Soft Computing
  • Year: 2024

Hybrid Conditional Kernel SVM for Wire Rope Defect Recognition

  • Authors: Liu, S., Liu, Y., Shan, L., Sun, Y., He, L.
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2024