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The Graduate School

Hyun Seok Park Professor

Department of Computer Science and Engineering/Department of Artificial Intelligence/EcoScience

박현석 프로필 사진 
  Dr. Hyun Seok Park joined the Department of Computer Engineering at Ewha Womans University in December 2002, bringing a wealth of research experience. Since arriving at Ewha, Dr. Park has secured over $2 million in research funding over the next three years. Professor Park's research has been sponsored by DARPA (the Defense Advanced Research Projects Agency), JSPS (Japan Society for the Promotion of Science), MIC (Ministry of Information and Communication), and MOHW (Ministry of Health and Welfare).  Dr. Park received his bachelor’s degree in electronic engineering at Seoul National University, his master’s in computer engineering at the University of Pennsylvania in 1994, and his Ph.D. in computer science at the University of Cambridge, England, in 1997. Dr. Park’s research interests are primarily in the area of bioinformatics, natural language processing, and cognitive science.  BS, Electronic Engineering, Seoul National University & BS, Computer Science, U. of Kansas  MS, Computer Engineering, U. of Pennsylvania  PhD, Computer Science, U. of Cambridge  1997.10~1998.10, University of Tokyo, Research Associate  1998.12~1999.2, Visiting Scholar, University of Tokyo  2000.3~2002.11, Assistant Professor, Computer Engineering, Sejong University  2004.6~ 2006.6, CEO, Macrogen Corp.  2002.12~ present, Assistant Professor, Associate Professor, Ewha Womans University
  • Dean, The Graduate School of Data Science
  • New Engineering Building #454
  • 02-3277-2831
  • Office hours
    • 화 10-12시
  • Research Interests
sejong cited ...
Research Record
  • TcellInflamedDetector: an R package to distinguish T cell inflamed tumor types from non–T cell inflamed tumor types Genomics and Informatics, 2022, v.20 no.1, e13
    Scopus dColl.
  • Editor’s introduction to the special section on the 7th biomedical linked annotation hackathon (Blah7) Genomics and Informatics, 2021, v.19 no.3, e20
    Scopus dColl.
  • Organizing an in-class hackathon to correct pdf-to-text conversion errors of genomics & informatics 1.0 Genomics and Informatics, 2020, v.18 no.3, 1-8
    Scopus dColl.
  • Using the pubannotation ecosystem to perform agile text mining on genomics & informatics: A tutorial review Genomics and Informatics, 2020, v.18 no.2, 1-10
    Scopus dColl.
  • Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters Genomics & Informatics, 2019, v.17 no.3, e25-e25
    KCI dColl.
  • 컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구 공학교육연구, 2019, v.22 no.6, 3-11
    KCI dColl.
  • A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of ENCODE/Broad ChromHMM Annotations: A Computational Perspective Genomics & Informatics, 2018, v.16 no.3, 65~70
    KCI dColl.
  • GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction Genomics & Informatics, 2018, v.16 no.3, 75~77
    KCI dColl.
  • Building the SeqChromMM Markov property atlas of the human genome by analyzing the 200-bp units of the 15 different chromatin regions of ENCODE GENETICS AND MOLECULAR RESEARCH, 2016, v.15 no.3
    SCIE Scopus dColl.
  • Estimation of prognostic marker genes by public microarray data in patients with ovarian serous cystadenocarcinoma Yonsei Medical Journal, 2016, v.57 no.4, 872-878
    SCIE Scopus KCI dColl.
  • Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions GENETICS AND MOLECULAR RESEARCH, 2016, v.15 no.3
    SCIE Scopus dColl.
  • Preliminary testing for the Markov property of the fifteen chromatin states of the Broad Histone Track BIO-MEDICAL MATERIALS AND ENGINEERING, 2015, v.26, S1917-S1927
    SCIE Scopus dColl.
  • A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective Genomics & Informatics, 2014, 제12권 4호, 145-150
    KCI후보 dColl.
  • [학술지논문] Analysis of the Rate of Confirmed COVID-19 Cases in Seoul and Factors Affecting It Using Big Data Analysis ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH, 2022, v.34 no.8 , 824-831
    SSCI
  • [학술지논문] TcellInflamedDetector: an R package to distinguish T cell inflamed tumor types from non–T cell inflamed tumor types Genomics and Informatics, 2022, v.20 no.1 , 63-63
    Scopus
  • [학술지논문] Estimation of the journal distance of Genomics & Informatics from other bioinformatics-driven journals, 2003– 2018 Genomics and Informatics, 2021, v.19 no.4 , 1-8
    Scopus
  • [학술지논문] Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0 Genomics and Informatics, 2020, v.18 no.3 , 1-8
    Scopus
  • [학술지논문] Using the pubannotation ecosystem to perform agile text mining on genomics & informatics: A tutorial review Genomics and Informatics, 2020, v.18 no.2 , 1-10
    Scopus
  • [학술지논문] 컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구 공학교육연구, 2019, v.22 no.6 , 3-11
    KCI
  • [학술지논문] A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of ENCODE/Broad ChromHMM Annotations: A Computational Perspective Genomics & Informatics, 2018, v.16 no.3 , 65-70
    KCI
  • [학술지논문] GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction Genomics & Informatics, 2018, v.16 no.3 , 75-77
    KCI
  • [학술지논문] Building the SeqChromMM Markov property atlas of the human genome by analyzing the 200-bp units of the 15 different chromatin regions of ENCODE GENETICS AND MOLECULAR RESEARCH, 2016, v.15 no.3 , 1-8
    SCIE
  • [학술지논문] Estimation of Prognostic Marker Genes by Public Microarray Data in Patients with Ovarian Serous Cystadenocarcinoma YONSEI MEDICAL JOURNAL, 2016, v.57 no.4 , 872-878
    SCI
  • [학술지논문] Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions GENETICS AND MOLECULAR RESEARCH, 2016, v.15 no.3 , 1-12
    SCIE
  • [학술지논문] Building the Frequency Profile of the Core Promoter Element Patterns in the Three ChromHMM Promoter States at 200-bp Intervals: A Statistical Perspective Genomics & Informatics, 2015, v.13 no.4 , 152-155
    KCI
  • [학술지논문] Identifying genomic signatures of N-gram nucleotide sequences to classify the chromatin states of broad histone track IMCOM '15 Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication , 2015, v.9 no.89 , 1-10
    SCI
  • [학술지논문] Preliminary testing for the Markov property of the fifteen chromatin states of the Broad Histone Track BIO-MEDICAL MATERIALS AND ENGINEERING, 2015, v.26 no.1 , 1917-1927
    SCIE
  • [학술지논문] A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective Genomics & Informatics, 2014, v.12 no.4 , 145-150
    KCI
  • [학술지논문] FX: an RNA-Seq analysis tool on the cloud BIOINFORMATICS, 2012, v.28 no.5 , 721-723
    SCI
  • [학술지논문] An Interpretation of Biological Metabolites and their Reactions Based on Relation Degree of Compound Pairs in KEGG XML Files JOURNAL OF SOFTWARE, 2010, v.5 no.2 , 179-186
  • [학술지논문] A Case Study of Online Tutoring on Computer Engineering Basic Design Education 공학교육연구, 2009, v.12 no.1 , 73-81
  • [학술지논문] Predicting the Interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service BMC BIOINFORMATICS, 2008, v.9
    SCI
  • [학술지논문] Interaction proteome analysis of Xanthomonas Hrp proteins JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY, 2007, v.17 , 359-363
    SCI
  • [학술지논문] Selection of neural differentiation-specific genes by comparing profiles of random differentiation Stem Cells, 2006, v.24 no.8 , 1946-1955
    Scopus
  • [학술지논문] A hybrid approach to combine HMM and SVM methods for the prediction of the transmembrane spanning region KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, 2005, v.3683 , 792-798
    SCI
  • [학술지논문] SOAP API for integrating biological interaction databases DATA INTEGRATION IN THE LIFE SCIENCES, PROCEEDINGS, 2005, v.3615 , 305-308
    SCI
  • [학술지논문] Text mining from categorized stem cell documents to infer developmental stage-specific expression and regulation patterns of stem cells NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS, 2005, v.3513 , 353-356
    SCI
  • [학술지논문] The genome sequence of Xanthomonas oryzae pathovar oryzae KACC10331, the bacterial blight pathogen of rice NUCLEIC ACIDS RESEARCH, 2005, v.33 , 577-586
    SCI
  • [학술지논문] The genome sequence of the ethanologenic bacterium Zymomonas mobilis ZM4 NATURE BIOTECHNOLOGY, 2005, v.23 no.1 , 63-68
    SCI
  • [저역서] 자바로 배우는 바이오인포매틱스 , 2006, 524
  • [저역서] 펄로 시작하는 바이오인포매틱스 , 2002, 509
  • [지적재산권] Gene Ontology 정보를 이용한 단백질 신호전달 경로 추출 알고리즘 구현 Domestic : Patent , Application
  • [지적재산권] 세포내 단백질 위치정보를 이용한 단백질 신호전달 경로 추출 및 예측 LocSPF 알고리즘 구현(10-2009-0093460) Domestic : Patent , Application
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Courses

  • 2024-1st

  • 2023-2nd

  • 2023-1st

  • 2022-2nd

    • Information Technology and Future Society

    • Theory of Programming Languages

      • Subject No 20499Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 7~7 (ALUMNI201-1) , Fri 6~6 (ALUMNI201-1)
      • Major Requisite
        • Syllabus(File)

    • Introductory Creative Convergence Basic Design

      • Subject No 38896Class No 01
      • 2Year ( 3Credit , 3Hour) Fri 6~7
        • Syllabus(File)

    • Theory of Programming Languages

      • Subject No 38899Class No 01
      • 2Year ( 3Credit , 3Hour) Tue 7~7 (ALUMNI201-1) , Fri 6~6 (ALUMNI201-1)
        • Syllabus(File)

    • Understanding of AI

      • Subject No 39138Class No 01
      • 1Year ( 3Credit , 3Hour) Tue 4~5 (ECC)
        • Syllabus(File)

  • 2022-1st

    • Information Technology and Future Society

    • Introductory Creative Convergence Basic Design

      • Subject No 38896Class No 01
      • 2Year ( 3Credit , 3Hour) Fri 6~7
        • Syllabus(File)

    • Introduction to AI & Deep Learning

      • Subject No 38901Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 4~4 , Fri 5~5
        • Syllabus(File)

    • Computational Medicine; Translating Models to Medicine

      • Subject No 38920Class No 01
      • Year ( 3Credit , 3Hour) Mon 3~4
      • Major Requisite
        • Syllabus(File)

  • 2021-2nd

    • Information Technology and Future Society

    • Theory of Programming Languages

      • Subject No 20499Class No 01
      • 4Year ( 3Credit , 3Hour) Mon 5~5 , Wed 4~4
      • Major Requisite
        • Syllabus(File)

    • Introductory Creative Convergence Basic Design

      • Subject No 38896Class No 01
      • 2Year ( 3Credit , 3Hour) Mon 7~7 , Thu 7~7
        • Syllabus(File)

    • Introduction to AI & Deep Learning

      • Subject No 38901Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 5~5 , Thu 6~6
        • Syllabus(File)

    • Software Convergence Project

      • Subject No 38906Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 6~6 (ENG ) , Thu 4~4 (151)
        • Syllabus(File)

  • 2021-1st

    • Information Technology and Future Society

    • Introductory Creative Convergence Basic Design

      • Subject No 38896Class No 01
      • 2Year ( 3Credit , 3Hour) Wed 7~7 , Fri 7~7
        • Syllabus(File)

    • Introduction to Web and Text Mining

      • Subject No 38904Class No 01
      • 4Year ( 3Credit , 3Hour) Tue 7~7 , Fri 6~6
        • Syllabus(File)

    • Software Convergence Thesis Advising Seminar

      • Subject No 38906Class No 01
      • 4Year ( 3Credit , 3Hour) Mon 7~7 , Thu 7~7
      • Major Requisite
        • Syllabus(File)

    • students Teaching II

    • Software Education

      • Subject No SE101Class No 01
      • Year ( 3Credit , 3Hour) Thu 8~9 (ENG )
        • Syllabus(File)
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Academic Background

University of Cambridge Ph.D.(컴퓨터)

University of Pennsylvania M.S.(컴퓨터)

Seoul Nat'l Univ. 공학사(전자공학과)

List