2023년 11월 30일 Lab.Manager

Cooperation Prof.

Youngshin Han

Professor
Dept. of System modeling Simulation, Inha Univ.

research interests

Semiconductor Process Simulation

Teaching

  • Under Graduate Course
    • Creative Thinking and Sw Introduction
    • Creative Thinking and Sw Deepening
    • Computer Utilization and Information Analysis
    • Phonesis Seminar
    • Computing Thinking and Data Analysis Fundamentals
    • Block coding and AI basics

Contact

  • selab.inha.ac.kr/yshan
  • hanys@inha.ac.kr
  • (032) 860-9184
  • 010-8681-9503

Education

SungKyunkwan University, Seoul, South Korea Ph.D. Department of Electrical & Computer Engineering

Ewha Womans University,
Seoul, South Korea
MS. Department of Science in Engineering,

Ewha Womans University,
Seoul, South Korea
BSc(Psych). Bachelor of Science in Psychology

SangMyung Womans University,
Seoul, South Korea
BE. Bachelor of Economics

Professional employment

Inha Univ., Faculty of Frontiers,
Incheon, South Korea

Computer Engineering at Sungkyul University,
Seoul, South Korea

Department of Semiconductor Systems Engineering, Sungkyunkwan University,
Seoul, South Korea

University of Arizona

Multimedia Studies at Sungkyul University,
Gyeonggi, South Korea

Computer Graphics Virtual Reality Research Center.
Seoul, South Korea

Professional services

Incheon Specialized Semiconductor Complex Hosting Group

Incheon Free Economic District Office Attracts Semiconductor IT Investment

Korean Women's Intelligence Association

Korean Society of Female Engineers

Past Project

Development of Optimized Scheduling Load Balance Solution for Next Generation EUV Exposure Technology Based on Discrete Event Simulatiom.
Korea Research Foundation

Development of HDEVS-based RTL design tools and composite simulators to reduce semiconductor design process cost
Korea Research Foundation

A project to train female professionals in the semiconductor field
Incheon City

Discrete Event Simulation Engine for Server-Queue Mode

Publication List
  1. RTL-DEVS: HDL design and simulation methodology for DEVS formalism-based simulation tool, telecom 4(1), pp, 15-30, 2022
  2.  SLLB-DEVSL: An Approach for DEVS Based Modeling of Semiconductor Lithography Load Balance, APPLIED SEIENCES-BASEL, 2021
  3. Fault Detection Prediction Using a Deep Belief Network-Based Multi-Classifier in the Semiconductor Manufacturing Process, INTERNATIONAL JOURNAL OF SOFT ENGINEERING AND KNOWLEDGE ENGINEERING, 2019
  4. Random Sampling Method with Data bias, Asia Simulation Conference (ASiaSim 2021), M0deling Methodology, pp, 1-9, 2021
  5. Data Stability Improvement of Random Sampling Machine Learning, ‘KSII APIC-IST 2021 Proceeding paper, 2021
  6.  DEVS 형식론을 이용한 PBL과 과정중심 피드백 기반 SW/AI 교육 프로세스 모델 개발, 멀티미디어학회논문지, 25권,12호, pp. 1790~1803, 2022
  7. RTL-DEVS: HDL design and simulation methodology for DEVS 2 formalism-based simulation tool, TELECOM, 2022
  8. 비전공자 대상 SW/AI 기초 교양 교육을 위한 ARCS-DEVS 모델 기반의 프로그래밍 학습방법 연구, 멀티미디어학회논문지, 25권,2호, pp. 311~324, 2022
  9. SLLB-DEVS: An Approach for DEVS Based Modeling of Semiconductor Lithography Load Balance, APPLIED SCIENCES-BASEL, 11권,9호, 2021
  10. DEVS 형식론 기반의 정보처리학습이론을 적용한 사범대생 대상 프로그래밍교육의 효과성 분석, 멀티미디어학회논문지, 23권,9호, pp. 1191~1200, 2020
  11. DEVS 방법론을 이용한 비전공자의 창의·인성 함양을 위한 프로그래밍 교육의 효과도 분석, 멀티미디어학회논문지, 22권,9호, pp. 1080~1090, 2019
  12. Fault Detection Prediction Using a Deep Belief Network-Based Multi-Classifier in the Semiconductor Manufacturing Process, INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 29권,8호, pp. 1125~1139, 2019
  13. 비전공자 소프트웨어 교육 운영 모델, 예술인문사회 융합 멀티미디어 논문지, 8권,8호, pp. 615~623, 2018
  14. 문제중심학습(PBL) 기반 프로그래밍 교육의 효과성: 컴퓨팅 사고력을 중심으로, 예술인문사회 융합 멀티미디어 논문지, 8권,7호, pp. 433~445, 2018
  15. 비전공자 예비교사의 컴퓨팅 사고력 함양을 위한 프로그래밍 교육의 효과성 분석, 정보교육학회논문지, 22권,1호, pp. 41~52, 2018
  16. 사물인터넷 환경에서 센서데이터의 처리를 위한 적응형 우선순위 큐 기반의 작업 스케줄링, 멀티미디어학회논문지, 20권,9호, pp. 1559~1566, 2017
  17. Particle swarm optimization-deep belief network-based rare class prediction model for highly class imbalance problem, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 29권,11호, 2017
  18. Data collection model in hybrid network for participatory sensing, International Journal of Modeling, Simulation, and Scientific Computing, 2016
  19. Adaptive Flow QoS Management Model for Wireless Communication in Mobile Environment, ACTA POLYTECHNICA HUNGARICA, 2016
  20. Traffic-Aware Energy Optimization in Green LTE Cellular Systems, IEEE COMMUNICATIONS LETTERS, 2014
  21. The Cluster-Heads Selection Method considering Energy Balancing for Wireless Sensor Networks, INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013
  22. Network Behavior Analysis Simulation Using Ontology Methodology, INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011
  23. Production Planning Methodology for Semiconductor Manufacturing Based on Marketing Pattern and Linear Programming Algorithm, INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011
  24. Cooperative MIMO Communication at Wireless Sensor Network: An Error Correcting Code Approach, SENSORS, 2011
  25. A Semantic Wiki Framework for Reconciling Conflict, JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2010
  26. Automatic Defect Classification System in Semiconductors EDS Test Based on System Entity Structure Methodology, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2010
  27. Conceptual Modeling of Semantic Service Chain Management for Building Service Networks: A Preliminary Result, LECTURE NOTES IN COMPUTER SCIENCE, 2009
  28. Ontology Methodology Based Context Awareness Using System Entity Structure for Network Analysis, LECTURE NOTES IN COMPUTER SCIENCE, 2008
  29. Optimization of a Simulation for 300mm FAB Semiconductor Manufacturing, LECTURE NOTES IN COMPUTER SCIENCE, 2006
  30. Automatic Classification Using Decision Tree and Support Vector Machine, LECTURE NOTES IN COMPUTER SCIENCE, 2005
  31. Full Fabrication Simulation of 300mm Wafer Focused on AMHS (Automated Material Handling Systems, LECTURE NOTES IN COMPUTER SCIENCE, 2004
  32. On the Repair of Memory Cells with Spare Rows and Columns for Yield Improvement, LECTURE NOTES IN COMPUTER SCIENCE, 2004
Patent List
  • 반도체 설계 공정 비용 감소를 위한 HDEVS 기반 RTL 설계 도구 및 복합 시뮬레이터(HDEVS based RTL design tool with co-simulator for reducing semiconductor design and verification process cost), 2023
  • 오픈소스 RTL 설계 도구와 함께 시뮬레이션이 가능한 HDEVS 형태의 RTL-DEVS 시뮬레이터, 2022
  • 산출 리소그래피를 위한 E-Beam 클러스터 구성 방법 및 장치(METHOD AND APPARATUS FOR CONSTRUCTING E-BEAM CLUSTER IN COMPUTATION LITHOGRAPHY), 2021
  • 반도체 제조 공정에서 특징 선택 기법에 따른 멀티 분류기를 활용한 불량 패턴 예측 장치 및 방법(METHOD AND APPRATUS FOR PREDICTING FAULT PATTERN USING MULTI-CLASSIFIER BASED ON FEATURE SELECTION METHOD , 2020
  • 이산 사건 명세와 모의 개체 아웃소싱 기반의 반도체 공정 모델링 및 시뮬레이션 시스템 및 방법(SYSTEM AND METHOD FOR DISCERTE EVENT SYSTEM SPECIFIACTION AND SIMULATION ENTITY OUTSOURCING BASED SEMICONDUCT, 2020
  • 반도체 FAB 제조공정에서 유클리드 거리를 활용한 웨이퍼 자동 불량 검사 분류 예측 장치 및 방법, 2017
  • 이산 사건 시스템 명세 기반의 임베디드 장치 모의 모델링 및 시뮬레이션 시스템 및 그의 방법(SYSTEM AND METHOD FOR DISCRETE EVENT SYSTEM SPECIFICATION BASED EMBEDED DEVICE MODELING AND SIMULATION), 2015
  • 워크플로우 모델링 및 시뮬레이션 시스템 및 방법(SYSTEM AND METHOD FOR WORKFLOW MODELING AND SIMULATION), 2013
Hi-Tech Center 1407, Dept. of Computer Engineering, Inha Univ., Inha-ro 100, Michuhol-gu, Incheon
032) 860-7454
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