Hyunseok Lim

임현석

Artificial Intelligence Researcher & MLOps Engineer

Last updated: Jul. 17, 2023
마지막 업데이트: 2023년 07월 17일
Locale:  로케일: 

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Affiliation
소속
Bio Optics and Acoustics Laboratory at Pohang University of Science and Technology
포항공과대학교 Bio Optics and Acoustics Laboratory
Position
직무
Researcher, Department of Convergence IT Engineering
IT융합공학과 연구원
Address
주소
C5 77 Cheongam-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do, Rep. of KOREA, 37673
37673 대한민국 경상북도 포항시 남구 청암로 77 C5
Email
이메일
hyunseoki@outlook.kr (Personal), hyunseoki@postech.ac.kr (Business)
hyunseoki@outlook.kr (개인), hyunseoki@postech.ac.kr (업무)
Expertise
전문 분야
Project management, Biomedical image segmentation, Video anomaly detection, Container orchestration, Parallel computing
프로젝트 관리, 의료생명 이미지 분할, 동영상 이상 탐지, 컨테이너 운영, 병렬 컴퓨팅
Repositories
저장소
GitHub (github.com/loopback-kr), DockerHub (hub.docker.com/u/loopbackkr)
깃허브 (github.com/loopback-kr), 도커허브 (hub.docker.com/u/loopbackkr)
Homepages
홈페이지
Curriculum Vitae (loopback-kr.github.io)
이력서 (loopback-kr.github.io)

Technical Skills

전문 기술

Programming Languages
프로그래밍 언어
Python, C/C++, Javascript/Typescript, SQL
Operating Systems
운영체제
Ubuntu Server, Windows, Windows Server
Cluster orchestration, Hypervisor Technologies
클러스터 오케스트레이션, 하이퍼바이저 기술
Docker, Kubernetes, Slurm, WSL, VMware Workstation
Cloud Computing Systems
클라우드 컴퓨팅 시스템
AWS EC2, AWS Route 53
Machine Learning Frameworks
머신러닝 프레임워크
PyTorch, MONAI Core, Tensorflow
Application Frameworks
애플리케이션 프레임워크
Django, FastAPI, Nodejs, Windows API
Web Servers
웹 서버
Nginx, Apache httpd
Development Tools
개발 도구
Git, Visual Studio Code, Visual Studio, 3D Slicer

International Awards

국제대회 수상

Sep. 18-22, 2022
MICCAI Ischemic Stroke Lesion Segmentation (ISLES) 2022, Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, Jongjun Won, Kimin Park
Single channel T1-weighted lesion segmentation in acute, sub-acute and chronic stroke (ATLAS challenge): 2nd place
Multimodal MRI infarct segmentation in acute and sub-acute stroke: 4th place

Published Journal Papers

출판된 학술지 논문

Published in Apr. 2022
Younghoon Jeon, Hyunseok Lim, and Jeonghwan Gwak, "Application and performance analysis of 3D CNN and super-resolution in autoencoder-based anomaly detection system," The Journal of Korean Institute of Next Generation Computing, vol.18, no.2, pp.47-58, 10.23019/kingpc.18.2.202204.005
Published in Apr. 2021
Hyunseok Lim, and Jeonghwan Gwak. "Generative Optical Flow Based Abnormal Object Detection Method Using a Spatio-Temporal Translation Network," Journal of the Korea Society of Computer and Information, vol.26, no.4, pp.11-19, 10.9708/JKSCI.2021.26.04.011.
Published in Dec. 2020
Dongwook Min, Hyunseok Lim, and Jeonghwan Gwak. "Improved Method of License Plate Detection and Recognition Facilitated by Fast Super-Resolution GAN," Korean Institute of Smart Media, vol.9, no.4, pp.134-143, 10.30693/smj.2020.9.4.134.
Published in Oct. 2020
Hyunseok Lim, Hyunsu Jeong, and Jeonghwan Gwak, "A Study of Pneumonia diagnosis using Image Super-resolution based on Residual Dense Networks," The Journal of Korean Institute of Next Generation Computing, vol.16, no.5, pp.15-28, 2020.

Participated Academic Conferences Papers

참여한 학술대회 논문

May 11-13, 2023
Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, Jongjun Won, Chulhong Kim, "Deep learning-based ischemic stroke segmentation from brain T1-weighted MR image", Proceedings of the Spring Conference on The Korean Society of Medical & Biological Engineering, pp.396-397, Poster Presentation.
Jan. 13-15, 2022
Huxufeng, Hyunseok Lim, and Jeonghwan Gwak, "Mask detection in complex scenes using an ensemble of YOLO models", Proceedings of the Winter Conference on Korea Society of Computer Information, pp.97-98, Oral Presentation.
Jan. 13-15, 2022
Hyunseok Lim, Huxufeng, and Jeonghwan Gwak, "Abnormal Behavior Detection and Localization Using Aspect Ratio Based on Mask R-CNN", Proceedings of the Winter Conference on Korea Society of Computer Information, pp.99-101, Oral Presentation.
Jul. 15-17, 2021
Jaeyong Kang, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "A Crack Detection of Wooden Cultural Assets using EfficientNet Model", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.125-127, Oral Presentation.
Jul. 15-17, 2021
Jaeyong Kang, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "A Bulge Detection Model in Cultural Asset images using Ensemble of Deep Features", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.129-131, Oral Presentation.
Jul. 15-17, 2021
Jaeyong Kang, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "An Embedding Similarity-based Deep Learning Model for Detecting Displacement in Cultural Asset Images", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.133-135, Oral Presentation.
Jul. 15-17, 2021
Jaeyong Kang, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "An Displacement Detection Model in Cultural Asset Images using Object-centric Augmentation", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.137-139, Oral Presentation.
Jul. 15-17, 2021
Jaeyong Kang, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "An Ensemble Deep Learning Model for Measuring Displacement in Cultural Asset Images", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.141-143, Oral Presentation.
Jul. 15-17, 2021
Hyunseok Lim, Inki Kim, Jaeyong Kang, and Jeonghwan Gwak, "Anomaly Detection Performance Improvement Technique through Weight Matrix-based Optical Flow Equalization", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.145-146, Oral Presentation.
Jul. 15-17, 2021
Boemjun Kim, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "Dataset Augmentation Technique for Crack Detection of Wood Building", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.645-647, Poster Presentation.
Jul. 15-17, 2021
Inki Kim, Hyunseok Lim, Beomjun Kim, and Jeonghwan Gwak, "Architectural Cultural Heritage Crack Detection Techniques Using Object Detection", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.649-652, Poster Presentation.
Jul. 15-17, 2021
Mingyu Kim, Huxufeng, Inki Kim, Hyunseok Lim, and Jeonghwan Gwak, "An Algorithm for Detecting Deformation of Wooden Buildings using Straight Line Detection", Proceedings of the Summer Conference on Korea Society of Computer Information, pp.653-654, Oral Presentation.
Jun. 20-22, 2021
Thi Kieu Khanh Ho, Hyunseok Lim, Jaeyong Kang, Jongin Song, and Jeonghwan Gwak, "A CNN-LSTM Model for Alzheimer’s Disease Multi-Class Classification using Multichannel EEG", Proceedings of The 16th Asia Pacific International Conference on Information Science and Technology, pp.23-25, Oral Presentation.
Jun. 20-22, 2021
Thi Kieu Khanh Ho, Zahid Ullah, Inki Kim, Hyunseok Lim, Jaeyong Kang, and Jeonghwan Gwak, "Feature Integration for COVID-19 Classification using Chest Radiography", Proceedings of The 16th Asia Pacific International Conference on Information Science and Technology, pp.106-108, Oral Presentation.
Jun. 20-22, 2021
Zahid Ullah, Thi Kieu Khanh Ho, Hyunseok Lim, Jaeyong Kang, and Jeonghwan Gwak, "COVID-19 Detection with a Semi-Supervised Adversarial Autoencoder in Chest Radiographs", Proceedings of The 16th Asia Pacific International Conference on Information Science and Technology, pp.109-111, Oral Presentation.
May 13-15, 2021
Jaeyong Kang, Hyunseok Lim, Huxufeng, and Jeonghwan Gwak, "Embedding Similarity-based Crowd Anomaly Detection using Object Centric Augmentation", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.109-112, Poster Presentation.
May 13-15, 2021
Hyunseok Lim, Inki Kim, Jaeyong Kang, and Jeonghwan Gwak, "Performance Comparison of Using SSIM Loss Function in a GAN-based Anomaly Detection System", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.371-374, Poster Presentation.
May 13-15, 2021
Jaeyong Kang, Hyunseok Lim, Mingyu Kim, Zahid Ullah, and Jeonghwan Gwak, "Effective Data Preprocessing for a Reconstruction model-based Anomaly Detection", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.375-377, Poster Presentation.
May 13-15, 2021
Inki Kim, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, and Jeonghwan Gwak, "Imbalanced Dataset training techniques with Hard negative mining and Sample Selection", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.391-394, Poster Presentation.
May 13-15, 2021
Dongwook Min, Hyunseok Lim, Thi Kieu Khanh Ho, Jaeyong Kang, and Jeonghwan Gwak, "Cough Detection System using EfficientNet", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.395-397, Poster Presentation.
May 13-15, 2021
Jaeyong Kang, Hyunseok Lim, Dongwook Min, Zahid Ullah, and Jeonghwan Gwak, "Anomaly Detection System using a ResUNet++ based Image Inpainting Method", Proceedings of the Spring Conference on Korean Institute of Next Generation Computing, pp.401-403, Poster Presentation.
May 22-23, 2020
Hyunwook Kim, Hyunseok Lim, Hyunsu Jeong, and Jeonghwan Gwak, "Comparative Study on the Effects of Deep Learning-based Vehicle Detection Models for Improving ALPR Performance", Proceedings of the Spring Conference on Korean Institute of Smart Media, Oral Presentation.
May 22-23, 2020
Hyunseok Lim, Sangwon Pak, and Jeonghwan Gwak, "Abnormal Object Detection and Localization by Utilizing Optical Flow and Instance Segmentation", Proceedings of the Spring Conference on Korean Institute of Smart Media, Oral Presentation.
May 22-23, 2020
Sangwon Pak, Hyunseok Lim, and Jeonghwan Gwak, "Robust Face Segmentation Model by Combining Multi-Task Cascaded CNN and Global Convolutional Network", Proceedings of the Spring Conference on Korean Institute of Smart Media, Poster Presentation.
May 22-23, 2020
Dongwook Min, Hyunseok Lim, Gwang Lee, Bonggeun Kim, and Jeonghwan Gwak, "Research of License Plate Detection and Recognition with Fast-Super Resolution GAN", Proceedings of the Spring Conference on Korean Institute of Smart Media, Oral Presentation.
May 22-23, 2020
Jooho Lee, Sangwon Pak, Hyunseok Lim, Gwang Lee, Bonggeun Kim, and Jeonghwan Gwak, "Comparative Study of Deep Learning-based Face Segmentation Methods for Intelligent Privacy Masking", Proceedings of the Spring Conference on Korean Institute of Smart Media, Poster Presentation.

Research Project Participation Experience

연구 프로젝트 참여 경험

Apr. 2023 ~ Oct. 2023
2023년 4월 ~ 2023년 10월
Project title
과제 명
SK Hynix AICC (POSTECH)
SK Hynix AICC (POSTECH)
Role
역할
Researcher
연구원
Oct. 2021 ~ Mar. 2022
2021년 10월 ~ 2022년 3월
Project title
과제 명
Image-based abnormal behavior analysis and detection technology development ProjectLab
영상기반 이상행동 분석 및 검지 기술개발 프로젝트랩
Grant No.
과제 번호
2021RIS0576
2021RIS0576
Role
역할
Technology development researcher
기술 개발 연구원
Responsibilities
담당 업무
Development of anomaly detection method, Data preprocessing
이상 탐지 기술 개발, 데이터 전처리
Achievements
성과
Participation in Capstone Design Contest
Published 1 KCI paper
Presented 6 papers at conferences
Applied 1 patents
1 technology transfer
Awarded at the conference
캡스톤 디자인 경진대회 참여
KCI 논문 1편 출판
학술대회 논문 6건 발표
특허 출원 1건
기술 이전 1건
학술대회 수상 1건
Dec. 2021 ~ Apr. 2022
2021년 12월 ~ 2022년 4월
Project title
과제 명
Development of artificial intelligence-based spinal sagittal analysis and deformation alignment diagnosis program
인공지능 기반 척추 시상면 분석 및 변형 정렬도 진단 프로그램 개발
Grant No.
과제 번호
2021RIS0860
2021RIS0860
Role
역할
Participating researcher
참여 연구원
Responsibilities
담당 업무
Building datasets, Interface development
데이터셋 구축, 인터페이스 개발
Achievements
성과
Published 1 SCIE paper
Applied 1 patent
SCIE 논문 1편 출판
특허 출원 1건
Dec. 2021 ~ Apr. 2022
2021년 12월 ~ 2022년 4월
Project title
과제 명
Development of an intelligent IoT-based behavior monitoring system to fill the gap of health and medical personnel in the nursing environment
조호환경 내 보건의료인력의 공백 해소를 위한 지능형 IoT 기반 행동 모니터링 시스템 개발
Grant No.
과제 번호
2022D0701011
2022D0701011
Role
역할
Participating researcher
참여 연구원
Responsibilities
담당 업무
Core technology development, Dataset building and preprocessing, Performance presentation
핵심 기술 개발, 데이터셋 수집 및 전처리, 성과 발표
Achievements
성과
Published 4 SCIE papers
Published 1 KCI paper
Applied 5 patents
Registrated 12 software programs
Awarded at Research achievement presentation
SCIE 논문 4편 출판
KCI 논문 1편 출판
특허 출원 5건
프로그램 등록 12건
연구 성과 발표 수상
Oct. 2021 ~ Mar. 2022
2021년 10월 ~ 2022년 3월
Project title
과제 명
Biometric information-based user identification system development ProjectLab
생체정보 기반 사용자 식별 시스템 개발 프로젝트랩
Grant No.
과제 번호
2021RIS0791
2021RIS0791
Role
역할
Participating researcher
참여 연구원
Responsibilities
담당 업무
Building datasets
데이터셋 구축
Achievements
성과
Participation in Capstone Design Contest
Published 1 KCI paper
Applied 1 patent
캡스톤 디자인 경진대회 참여
KCI 논문 1편 출판
특허 출원 1건
Jan. 2021 ~ May 2021
2021년 1월 ~ 2021년 5월
Project title
과제 명
Development of ensemble deep learning technology and platform for smart insole-based gait disorder screening
스마트 인솔 기반 보행장애 선별을 위한 앙상블 딥러닝 기술 및 플랫폼 개발
Grant No.
과제 번호
2021RIS0039
2021RIS0039
Role
역할
Participating researcher
참여 연구원
Responsibilities
담당 업무
IoT Equipment production, Testdata collection & preprocessing, IRB application, API development, Development of pattern detection algorithm
IoT 장비 개발, 데이터 수집 및 정제, IRB 신청, API 개발, 패턴 탐지 알고리즘 개발
Achievements
성과
Published 5 SCIE papers
Published 2 KCI papers
Presented 6 papers at conferences
Applied 3 patents
1 technology transfer
3 prototypes released
Awarded at the conference
SCIE 논문 5편 출판
KCI 논문 2편 출판
학술대회 논문 6건 발표
특허 출원 3건
기술 이전 1건
시제품 성과 3건
학술대회 수상 1건
Dec. 2020 ~ May 2021
2020년 12월 ~ 2021년 5월
Project title
과제 명
Deep Medical Intelligence: Practical Talent Nurturing ProjectLab for Artificial Intelligence Analysis of Medical Data
Deep Medical Intelligence: 의료 데이터 인공지능 분석을 위한 실무형 인재양성 프로젝트랩
Grant No.
과제 번호
2020RIS0334
2020RIS0334
Role
역할
Participating researcher
참여 연구원
Responsibilities
담당 업무
Testdata collection and preprocessing, Development teaching
데이터 수집 및 전처리, 개발 교육
Achievements
성과
Participation in Capstone Design Contest
Published 2 SCIE papers
Published 3 KCI papers
캡스톤 디자인 경진대회 참여
SCIE 논문 2편 출판
KCI 논문 3편 출판

Work Experience

직무 경력

Jul. 2019 ~ Aug. 2022
2019년 7월 ~ 2022년 8월
Artificial Machine Intelligence Lab at Korea National University of Transportation
한국교통대학교 Artificial Machine Intelligence Lab
Jan. 2021 ~ May 2021
2021년 1월 ~ 2021년 5월
Technology Development Researcher in 3LHealthcare Co., Ltd
(주)쓰리엘헬스케어, 기술 개발 연구원
Gait data collection, gait pattern analysis, pattern detection modeling
보행 데이터 수집, 보행 패턴 분석, 패턴 탐지 모델링

Patents

특허

May 27, 2021
Hyunseok Lim, Jeonghwan Gwak, "APPARATUS AND METHOD FOR DETECTING OBJECT OF ABNORMAL BEHAVIOR", KR Patent, Application No. 1020210069658, Registration No. 1023478110000

Awards & Honors

수상 이력

Apr. 15, 2022
Outstanding Project Award, Chungbuk Bio-Health Industry Innovation Research Performance Presentation
Jun. 22, 2021
Outstanding Paper Award granted by APIC-IST
May 14, 2021
Best Paper Award granted by Korean Institute of Next Generation Computing
Nov. 21, 2020
Road Environment Panoramic Image AI Data - 2020 Online Hackaton for AI Training, Gold Award granted by National Information Society Agency
May 23, 2020
Outstanding Oral Presentation Award granted by Korean Institute of Smart Media

Professional Certificates

전문 자격증

2023 ~ 2026
AWS Certified Solutions Architect - Associate (SAA-C03)

Software Registration to Korea Copyright Commission

한국 저작권 위원회에 등록된 컴퓨터 프로그램

May 27, 2021
Hyunseok Lim, Jeonghwan Gwak, "Abnormal Behavior Detection System through Motion Pattern Learning using GAN", C-2021-021720

Education

학력

Mar. 2020 ~ Aug. 2022
2020년 3월 ~ 2022년 8월
Master's degree in Artificial intelligence of Software engineering, Korea National University of Transportation
한국교통대학교 소프트웨어학과 인공지능 전공 석사
Mar. 2013 ~ Feb. 2020
2013년 3월 ~ 2020년 2월
Bachelor's degree of Software engineering, Korea National University of Transportation
한국교통대학교 소프트웨어학과 학사

Technical Reviews for International Journals

국제 학술지 리뷰 경험

Jun., Aug. 2020
PLOS ONE

Military Service

병역

May 2016 ~ Nov. 2016
2016년 5월 ~ 2016년 11월
Staff Sergeant, Army in Rep. of Korea
대한민국 육군 하사
Aug. 2014 ~ May 2016
2014년 8월 ~ 2016년 5월
Sergeant, Army in Rep. of Korea
대한민국 육군 병장

Additional Experience

기타 경력

Jul. 14, 2023
2023 POSCO Group AI Expert Training Course (9th Class) Training Assistant
2023년 7월 14일
2023년 포스코그룹 인공지능 활용 전문가 양성 과정 (9기) 실습 조교
2019
LIKE LION at Korea National University of Transportation 7th Executive staff
2019년
멋쟁이 사자처럼 at 한국교통대학교 7기 운영진
Dec. 2018
2018 Public ICT Alliance Clinic Camp - eGov Framework Understanding and Practice
2018년 12월
2018 공공 ICT 연합 Clinic 캠프 - 전자정부프레임워크 이해와 실무
Nov. 2018
2018 Open Source Software Experience Camp
2018년 11월
2018 찾아가는 공개SW 체험캠프

References

참조인

Ph.D., Professor
박사, 교수
Jeonghwan Gwak
Department of Software, Korea National University of Transportation
Office: +82 43-841-5852
Email: james.han.gwak@gmail.com; jgwak@ut.ac.kr
곽정환
한국교통대학교 소프트웨어학과
사무실: +82 43-841-5852
이메일: james.han.gwak@gmail.com; jgwak@ut.ac.kr

Sincerely Yours,
Hyunseok Lim
임현석 드림