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Hyo Seon Park

Hyo Seon Park

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
8487
World Ranking
4126
National Ranking
97

Overview

Hyo Seon Park is affiliated with Yonsei University in South Korea and has a primary focus in the field of engineering. Their research spans multiple subfields, including civil and structural engineering, building and construction, speech and hearing, biomedical engineering, and mechanics of materials. The scientist has contributed extensively to areas related to structural health monitoring and infrastructure maintenance.

The main topics covered in their research include:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Noise Effects and Management
  • Sustainable Building Design and Assessment
  • Acoustic Wave Phenomena Research
  • Concrete Corrosion and Durability
  • Ultrasonics and Acoustic Wave Propagation

Hyo Seon Park has published numerous papers in various well-known venues. Frequent publication outlets include:

  • Automation in Construction
  • Journal of Building Engineering
  • SSRN Electronic Journal
  • Computer-Aided Civil and Infrastructure Engineering
  • Structural Control and Health Monitoring

Their recent research publications include:

  • Seismic response prediction method for building structures using convolutional neural network, 2020, Structural Control and Health Monitoring
  • Convolutional neural network-based data recovery method for structural health monitoring, 2020, Structural Health Monitoring
  • An integrated psychological score for occupants based on their perception and emotional response according to the windows' outdoor view size, 2020, Building and Environment
  • Development of a real-time automated monitoring system for managing the hazardous environmental pollutants at the construction site, 2020, Journal of Hazardous Materials
  • Quantitative health impact assessment of construction noise exposure on the nearby region for noise barrier optimization, 2020, Building and Environment

The scientist has collaborated frequently with several coauthors, including:

  • Taehoon Hong
  • Dong-Eun Lee
  • Byung Kwan Oh
  • Jewoo Choi
  • Da Yo Yun

Best Publications

  • A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning

    H. S. Park;H. M. Lee;Hojjat Adeli;I. Lee

  • 3D displacement measurement model for health monitoring of structures using a motion capture system

    S.W. Park;H.S. Hyo Seon Park;J.H. Kim;Hojjat Adeli

  • Adaptive natural gradient learning algorithms for various stochastic models

    H. Park;S.-I. Amari;K. Fukumizu

  • A neural dynamics model for structural optimization—Theory

    H. Adeli;Hyo Seon Park

  • Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings

    Byung Kwan Oh;Kyu Jin Kim;Yousok Kim;Hyo Seon Park

  • Distributed neural dynamics algorithms for optimization of large steel structures

    Hyo Seon Park;Hojjat Adeli

  • Optimization of space structures by neural dynamics

    Hojjat Adeli;Hyo Seon Park

  • A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform

    Juan P. Amezquita-Sanchez;Hyo Seon Park;Hojjat Adeli

  • COUNTERPROPAGATION NEURAL NETWORKS IN STRUCTURAL ENGINEERING

    Hojjat Adeli;Hyo Seon Park

  • New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms

    Zhijun Li;Hyo Seon Park;Hojjat Adeli

  • Assessment Model for Energy Consumption and Greenhouse Gas Emissions during Building Construction

    Taehoon Hong;ChangYoon Ji;MinHo Jang;HyoSeon Park

  • Seismic response prediction method for building structures using convolutional neural network

    Byung Kwan Oh;Byung Kwan Oh;Youngjun Park;Hyo Seon Park

  • Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques

    Hyo Seon Park;Minhyun Lee;Hyuna Kang;Taehoon Hong

  • Convolutional neural network–based data recovery method for structural health monitoring

    Byung Kwan Oh;Byung Kwan Oh;Branko Glisic;Yousok Kim;Hyo Seon Park

  • A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system

    Taehoon Hong;Choongwan Koo;Joonho Park;Hyo Seon Park

  • Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

    Hyo Seon Park;Bongkeun Kwon;Yunah Shin;Yousok Kim

  • Neural network-based seismic response prediction model for building structures using artificial earthquakes

    Byung Kwan Oh;Byung Kwan Oh;Branko Glisic;Sang Wook Park;Hyo Seon Park

  • Convolutional neural network‐based wind‐induced response estimation model for tall buildings

    Byung Kwan Oh;Branko Glisic;Yousok Kim;Hyo Seon Park

  • Optimum design of cold-formed steel channel beams using micro Genetic Algorithm

    Jaehong Lee;Sun Myung Kim;Hyo Seon Park;Byung Hun Woo

  • Application of GPS to monitoring of wind-induced responses of high-rise buildings

    Hyo Seon Park;Hong Gyoo Sohn;Ill Soo Kim;Jae Hwan Park

  • Integrated model for assessing the cost and CO2 emission (IMACC) for sustainable structural design in ready-mix concrete

    Taehoon Hong;Changyoon Ji;Hyoseon Park

  • Development of a new energy efficiency rating system for existing residential buildings

    Choongwan Koo;Taehoon Hong;Minhyun Lee;Hyo Seon Park

  • An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method

    Choongwan Koo;Sungki Park;Taehoon Hong;Hyo Seon Park

  • A neural dynamics model for structural optimization—Application to plastic design of structures

    Hyo Seon Park;H. Adeli

Frequent Co-Authors

Taehoon Hong
Taehoon Hong Yonsei University
Choongwan Koo
Choongwan Koo Incheon National University
Hojjat Adeli
Hojjat Adeli The Ohio State University
Branko Glisic
Branko Glisic Princeton University
Kam Tim Tse
Kam Tim Tse Hong Kong University of Science and Technology
Jaehong Lee
Jaehong Lee Sejong University
Minhyun Lee
Minhyun Lee Hong Kong Polytechnic University
Jeonghun Kim
Jeonghun Kim Yonsei University
Hyun-Joong Kim
Hyun-Joong Kim Seoul National University
Eunkyoung Kim
Eunkyoung Kim Yonsei University

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