박현석(朴泫錫) 교수

컴퓨터공학전공/빅데이터분석학협동과정/에코과학부[대학원]/바이오정보학협동과정

박현석 프로필 사진
  One sign of an impending nervous breakdown is the belief that  one's work is terribly important"  There is nothing you must do,  There is nothing you must see,  There is nothing you must learn,  There is nothing you must become,  But it helps to know that fire burns,  and when it rains, the earth gets wet.
  • 소프트웨어연계전공주임교수/전공특화소프트웨어융합전공주임교수/공학융합연구소장
  • 신공학관 454호
  • 02-3277-2831
  • 면담 가능시간
    • 화 10-12시
  • 연구관심분야
    • 바이오인포매틱스, 인공지능, 자연언어처리, 텍스트마이닝, 인지과학
sejong cited ...
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[{itemId=000000162859, userId=****150635, userName=박현석, title=Trends in Genomics & Informatics: a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters, indexed=KCI등재, subtype=Article, citationtitle=Genomics & Informatics, citationgenre=Journal, citationdate=2019, citationoissueno=v.17 no.3, citationpages=e25-e25, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000162859, publicYn=Y}, {itemId=000000169703, userId=****150635, userName=박현석, title=컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구, indexed=KCI등재, subtype=Article, citationtitle=공학교육연구, citationgenre=Journal, citationdate=2019, citationoissueno=v.22 no.6, citationpages=3-11, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000169703, publicYn=Y}, {itemId=000000157274, userId=****150635, userName=박현석, title=A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of ENCODE/Broad ChromHMM Annotations: A Computational Perspective, indexed=KCI등재, subtype=Article, citationtitle=Genomics & Informatics, citationdate=2018, citationoissueno=v.16 no.3, citationpages=65~70, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000157274, publicYn=Y}, {itemId=000000157275, userId=****150635, userName=박현석, title=GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction, indexed=KCI등재, subtype=Article, citationtitle=Genomics & Informatics, citationdate=2018, citationoissueno=v.16 no.3, citationpages=75~77, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000157275, publicYn=Y}, {itemId=000000140095, userId=****150635, userName=박현석, title=Building the SeqChromMM Markov property atlas of the human genome by analyzing the 200-bp units of the 15 different chromatin regions of ENCODE, indexed=SCIE;SCOPUS, subtype=Article, citationtitle=GENETICS AND MOLECULAR RESEARCH, citationgenre=Journal, citationdate=2016, citationoissueno=v.15 no.3, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000140095, publicYn=Y}, {itemId=000000136544, userId=****150635, userName=박현석, title=Estimation of Prognostic Marker Genes by Public Microarray Data in Patients with Ovarian Serous Cystadenocarcinoma, indexed=KCI등재;SCIE;SCOPUS, subtype=Article, citationtitle=Yonsei Medical Journal, citationgenre=Journal, citationdate=2016, citationoissueno=v.57 no.4, citationpages=872~878, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000136544, publicYn=Y}, {itemId=000000131319, userId=****150635, userName=박현석, title=Estimation of prognostic marker genes by public microarray data in patients with ovarian serous cystadenocarcinoma, indexed=SCIE;SCOPUS;KCI등재, subtype=Article, citationtitle=Yonsei Medical Journal, citationgenre=Journal, citationdate=2016, citationoissueno=v.57 no.4, citationpages=872-878, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000131319, publicYn=Y}, {itemId=000000140096, userId=****150635, userName=박현석, title=Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions, indexed=SCIE;SCOPUS, subtype=Article, citationtitle=GENETICS AND MOLECULAR RESEARCH, citationgenre=Journal, citationdate=2016, citationoissueno=v.15 no.3, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000140096, publicYn=Y}, {itemId=000000119775, userId=****150635, userName=박현석, title=Preliminary testing for the Markov property of the fifteen chromatin states of the Broad Histone Track, indexed=SCIE;SCOPUS, subtype=Article, citationtitle=BIO-MEDICAL MATERIALS AND ENGINEERING, citationgenre=Journal, citationdate=2015, citationoissueno=v.26, citationpages=S1917-S1927, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000119775, publicYn=Y}, {itemId=000000113810, userId=****150635, userName=박현석, title=A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective, indexed=KCI등재후보, subtype=Article, citationtitle=Genomics & Informatics, citationgenre=Journal, citationdate=2014, citationoissueno=제12권 4호, citationpages=145-150, uritype=고유URL, urientity=http://www.dcollection.net/handler/ewha/000000113810, publicYn=Y}]
[{seq=15063510191, userId=150635, achvDiv=101, achvNo=91, div=01, achvDivNm=학술지논문, achvNm=Organizing an in-class hackathon to correct pdf-to-text conversion errors of genomics & informatics 1.0, achvNmEtc=Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0, representDt=20200101, representYear=2020, publishOrgan=Korea Genome Organizationkogo3@kogo.or.kr, representNation=대한민국, journalNm=Genomics and Informatics, vol=18, edition=3, startPg=1, endPg=8, issnNo=2234-0742, langDiv=ENG, abstCntn=This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-col-umn biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations., studyField=공학 컴퓨터학 자연언어, isiDiv=SCOPUS, indexed=SCOPUS, createDt=2020-11-11 02:31:55.0, entryDt=2020-11-11 02:39:58.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510190, userId=150635, achvDiv=101, achvNo=90, div=01, achvDivNm=학술지논문, achvNm=Using the pubannotation ecosystem to perform agile text mining on genomics & informatics: A tutorial review, achvNmEtc=Using the pubannotation ecosystem to perform agile text mining on genomics & informatics: A tutorial review, representDt=20200101, representYear=2020, publishOrgan=Korea Genome Organization, representNation=대한민국, journalNm=Genomics and Informatics, vol=18, edition=2, startPg=1, endPg=10, issnNo=2234-0742, langDiv=ENG, abstCntn=The prototype version of the full-text corpus of Genomics & Informatics has recently been archived in a GitHub repository. The full-text publications of volumes 10 through 17 are also directly downloadable from PubMed Central (PMC) as XML files. During the Biomedi-cal Linked Annotation Hackathon 6 (BLAH6), we experimented with converting, annotat-ing, and updating 301 PMC full-text articles of Genomics & Informatics using PubAnnota-tion, a system that provides a convenient way to add PMC publications based on PMCID. Thus, this review aims to provide a tutorial overview of practicing the iterative task of named entity recognition with the PubAnnotation/PubDictionaries/TextAE ecosystem. We also describe developing a conversion tool between the Genia tagger output and the JSON format of PubAnnotation during the hackathon., studyField=공학, isiDiv=SCOPUS, indexed=SCOPUS, createDt=2020-07-24 00:34:53.0, entryDt=2020-09-23 10:11:30.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510189, userId=150635, achvDiv=101, achvNo=89, div=01, achvDivNm=학술지논문, achvNm=컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구, representDt=20191101, representYear=2019, publishOrgan=한국공학교육학회, representNation=대한민국, journalNm=공학교육연구, vol=22, edition=6, startPg=3, endPg=11, issnNo=1738-6454, langDiv=KOR, abstCntn=To evaluate the suitability of UML (Unified Modelling Language) in terms of educating novice software engineers, we have conducteda survey study with 102 students who were enrolled in a mandatory course for sophomores in computer science and engineering department. The results indicate that UML 1) has high satisfaction rate among software novices as an education material, 2) improves computationalthinking and problem-solving skills, and 3) increases the efficacy of learning when the education program is implemented in the orderof UML, programming practice, and physical computing. This paper suggests the applicability of UML as a new education paradigmin software education., studyField=공학 공학일반, isiDiv=KCI, regDiv=등재, indexed=KCI등재, createDt=2019-11-14 12:21:41.0, entryDt=2019-12-24 13:39:30.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510184, userId=150635, achvDiv=101, achvNo=84, div=01, achvDivNm=학술지논문, achvNm=A Short Report on the Markov Property of DNA Sequences on 200-bp Genomic Units of ENCODE/Broad ChromHMM Annotations: A Computational Perspective, representDt=20180901, representYear=2018, publishOrgan=한국유전체학회, representNation=대한민국, journalNm=Genomics & Informatics, vol=16, edition=3, startPg=65, endPg=70, issnNo=1598866X, langDiv=ENG, abstCntn=The non-coding DNA in eukaryotic genomes encodes a language which programs chromatin accessibility, transcription factor binding, and various other activities. The objective of this short report was to determine the impact of primary DNA sequence on the epigenomic landscape across 200-base pair genomic units by integrating nine publicly available ChromHMM Browser Extensible Data files of the Encyclopedia of DNA Elements (ENCODE) project. The nucleotide frequency profiles of nine chromatin annotations with the units of 200 bp were analyzed and integrative Markov chains were built to detect the Markov properties of the DNA sequences in some of the active chromatin states of different ChromHMM regions. Our aim was to identify the possible relationship between DNA sequences and the newly built chromatin states based on the integrated ChromHMM datasets of different cells and tissue types., studyField=공학, isiDiv=KCI, regDiv=등재, indexed=KCI등재, createDt=2018-10-15 05:36:40.0, entryDt=2018-12-04 10:28:05.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510185, userId=150635, achvDiv=101, achvNo=85, div=01, achvDivNm=학술지논문, achvNm=GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction, representDt=20180901, representYear=2018, publishOrgan=한국유전체학회, representNation=대한민국, journalNm=Genomics & Informatics, vol=16, edition=3, startPg=75, endPg=77, issnNo=1598866X, langDiv=ENG, abstCntn=Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining., studyField=공학, isiDiv=KCI, regDiv=등재, indexed=KCI등재, createDt=2018-10-15 05:31:27.0, entryDt=2018-12-04 10:28:46.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510182, userId=150635, achvDiv=101, achvNo=82, div=01, achvDivNm=학술지논문, achvNm=Building the SeqChromMM Markov property atlas of the human genome by analyzing the 200-bp units of the 15 different chromatin regions of ENCODE, representDt=20160801, representYear=2016, publishOrgan=FUNPEC-EDITORA, representNation=브라질, journalNm=GENETICS AND MOLECULAR RESEARCH, vol=15, edition=3, startPg=1, endPg=8, issnNo=1676-5680, langDiv=ENG, abstCntn=We analyzed the publicly available ChromHMM BED files of the ENCODE project and tested the Markov properties of the different chromatin states in the human genome. Nucleotide frequency profiles of regional chromatin segmentations were analyzed, and Markov chains were built to detect Markov properties in the chromatin states of different ChromHMM regions. By estimating the transition probabilities of 200-base pair nucleotide sequences of the human genome, we constructed a nucleotide-sequence-based Markovian chromatin map called SeqChromMM., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCIE, indexed=SCIE, createDt=2016-08-31 12:31:11.0, entryDt=2017-01-13 12:06:32.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510183, userId=150635, achvDiv=101, achvNo=83, div=01, achvDivNm=학술지논문, achvNm=Estimation of Prognostic Marker Genes by Public Microarray Data in Patients with Ovarian Serous Cystadenocarcinoma, representDt=20160701, representYear=2016, publishOrgan=Yonsei University, representNation=대한민국, journalNm=YONSEI MEDICAL JOURNAL, vol=57, edition=4, startPg=872, endPg=878, issnNo=0513-5796, langDiv=ENG, abstCntn=Purpose: Lymphatic invasion (LI) is regarded as a predictor of the aggressiveness of ovarian cancer (OC). However, LI is not always the major determinant of long-term patient survival. To establish proper diagnosis and treatment for OC, we analyzed differentially expressed genes (DEGs) for patients with serous epithelial OC, with or without LI, who did or did not survive for 5 years. Materials and Methods: Gene expression data from 63 patients with OC and LI, and 35 patients with OC but without LI, were investigated using an Affymetrix Human Genome U133 Array and analyzed using The Cancer Genome Atlas (TCGA) database. Among these 98 patients, 16 survived for 5 years or more. DEGs were identified using the Bioconductor R package, and their functions were analyzed using the DAVID web tool. Results: We found 55 significant DEGs (p<0.01) from the patients with LI and 20 highly significant DEGs (p<0.001) from those without it. Pathway analysis showed that DEGs associated with carbohydrate metabolism or with renal cell carcinoma pathways were enriched in the patients with and without LI, respectively. Using the top five prognostic marker genes, we generated survival scores that could be used to predict the 5-year survival of patients with OC without LI. Conclusion: The DEGs identified in this study could be used to elucidate the mechanism of tumor progression and to guide the prognosis and treatment of patients with serous OC but without LI., studyField=공학 컴퓨터학, isiDiv=SCI, indexed=SCI, createDt=2016-11-28 17:24:13.0, entryDt=2017-02-07 18:13:59.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510181, userId=150635, achvDiv=101, achvNo=81, div=01, achvDivNm=학술지논문, achvNm=Using Markov chains of nucleotide sequences as a possible precursor to predict functional roles of human genome: a case study on inactive chromatin regions, representDt=20160801, representYear=2016, publishOrgan=Fundacao de Pesquisas Cientificas de Ribeirao Preto, representNation=브라질, journalNm=GENETICS AND MOLECULAR RESEARCH, vol=15, edition=3, startPg=1, endPg=12, issnNo=1676-5680, langDiv=ENG, abstCntn=Recent advances in computational epigenetics have provided new opportunities to evaluate n-gram probabilistic language models. In this paper, we describe a systematic genome-wide approach for predicting functional roles in inactive chromatin regions by using a sequence-based Markovian chromatin map of the human genome. We demonstrate that Markov chains of sequences can be used as a precursor to predict functional roles in heterochromatin regions and provide an example comparing two publicly available chromatin annotations of large-scale epigenomics projects: ENCODE project consortium and Roadmap Epigenomics consortium., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCIE, indexed=SCIE, createDt=2016-08-31 12:23:14.0, entryDt=2017-01-13 12:05:37.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510178, userId=150635, achvDiv=101, achvNo=78, div=01, achvDivNm=학술지논문, achvNm=Building the Frequency Profile of the Core Promoter Element Patterns in the Three ChromHMM Promoter States at 200-bp Intervals: A Statistical Perspective, representDt=20151201, representYear=2015, publishOrgan=한국유전체학회, representNation=대한민국, journalNm=Genomics & Informatics, vol=13, edition=4, startPg=152, endPg=155, issnNo=1598-866X, langDiv=ENG, abstCntn=Recently, the Encyclopedia of DNA Elements (ENCODE) Analysis Working Group converted data from ChIP-seq analyses from the Broad Histone track into 15corresponding chromatic maps that label sequences with different kinds of histone modifications in promoter regions. Here, we publish a frequency profile of the three ChromHMM promoter states, at 200-bp intervals, with particular reference to the existence of sequence patterns of promoter elements, GC-richness, and transcription starting sites. Through detailed and diligent analysis of promoter regions, researchers will be able to uncover new and significant information about transcription initiation and gene function., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=KCI, regDiv=등재, indexed=KCI등재, createDt=2016-01-08 03:22:19.0, entryDt=2016-11-28 22:20:31.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510180, userId=150635, achvDiv=101, achvNo=80, div=01, achvDivNm=학술지논문, achvNm=Identifying genomic signatures of N-gram nucleotide sequences to classify the chromatin states of broad histone track, achvNmEtc=Identifying genomic signatures of N-gram nucleotide sequences to classify the chromatin states of broad histone track, representDt=20150101, representYear=2015, publishOrgan=ACM IMCOM, representNation=미국, journalNm=IMCOM '15 Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication , vol=9, edition=89, startPg=1, endPg=10, issnNo=978-1-450, langDiv=ENG, abstCntn=A large proportion of human noncoding DNA had been known to have no biological function. However, unprecedented technical advances have started to convert unannotated noncoding DNA into highly annotated functional regions. In this paper, the frequency of n-grams of regional DNA sequences from fifteen chromatin states of Broad Histone Track are thoroughly analyzed, applying biological language modelling to n-grams. It has been shown that a few particular n-grams are found in abundance in one chromatin state but occurring very rarely in other states, thereby serving as chromatin state signatures. We discuss the significance of the patterns found, as well as their potential use in the special statistical models of nucleotide sequences necessary for developing algorithms for the computational analysis of functional units in noncoding DNA regions., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2015-11-12 01:59:31.0, entryDt=2016-04-01 09:40:57.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510179, userId=150635, achvDiv=101, achvNo=79, div=01, achvDivNm=학술지논문, achvNm=Preliminary testing for the Markov property of the fifteen chromatin states of the Broad Histone Track, representDt=20150101, representYear=2015, publishOrgan=IOS PRESS, representNation=네델란드, journalNm=BIO-MEDICAL MATERIALS AND ENGINEERING, vol=26, edition=1, startPg=1917, endPg=1927, issnNo=0959-2989, langDiv=ENG, abstCntn=Epigenetic computational analyses based on Markov chains can integrate dependencies between regions in the genome that are directly adjacent. In this paper, the BED files of fifteen chromatin states of the Broad Histone Track of the ENCODE project are parsed, and comparative nucleotide frequencies of regional chromatin blocks are thoroughly analyzed to detect the Markov property in them. We perform various tests to examine the Markov property embedded in a frequency domain by checking for the presence of the Markov property in the various chromatin states. We apply these tests to each region of the fifteen chromatin states. The results of our simulation indicate that some of the chromatin states possess a stronger Markov property than others. We discuss the significance of our findings in statistical models of nucleotide sequences that are necessary for the computational analysis of functional units in noncoding, studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCIE, indexed=SCIE, createDt=2015-08-08 01:13:50.0, entryDt=2016-01-05 14:10:47.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510177, userId=150635, achvDiv=101, achvNo=77, div=01, achvDivNm=학술지논문, achvNm=A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective, representDt=20141201, representYear=2014, publishOrgan=한국유전체학회, representNation=대한민국, journalNm=Genomics & Informatics, vol=12, edition=4, startPg=145, endPg=150, issnNo=1598-866X, langDiv=ENG, abstCntn=Recent technical advances, such as chromatin immunoprecipitation combined with DNA microarrays (ChIp-chip) andchromatin immunoprecipitation–sequencing (ChIP-seq), have generated large quantities of high-throughput data. Consideringthat epigenomic datasets are arranged over chromosomes, their analysis must account for spatial or temporal characteristics. In that sense, simple clustering or classification methodologies are inadequate for the analysis of multi-track ChIP-chip orChIP-seq data. Approaches that are based on hidden Markov models (HMMs) can integrate dependencies between directlyadjacent measurements in the genome. Here, we review three HMM-based studies that have contributed to epigeneticresearch, from a computational perspective. We also give a brief tutorial on HMM modelling–targeted at bioinformaticianswho are new to the field., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=KCI, regDiv=등재, indexed=KCI등재, createDt=2014-11-07 16:23:28.0, entryDt=2015-01-21 01:45:43.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510150, userId=150635, achvDiv=101, achvNo=50, div=01, achvDivNm=학술지논문, achvNm=FX: an RNA-Seq analysis tool on the cloud, representDt=20120301, representYear=2012, publishOrgan=OXFORD UNIV PRESS, representNation=영국, journalNm=BIOINFORMATICS, vol=28, edition=5, startPg=721, endPg=723, issnNo=1367-4803, langDiv=ENG, abstCntn=FX is an RNA-Seq analysis tool, which runs in parallel on cloud computing infrastructure, for the estimation of gene expression levels and genomic variant calling. In the mapping of short RNASeq reads, FX uses a transcriptome-based reference primarily, generated from similar to 160 000 mRNA sequences from RefSeq, UCSC and Ensembl databases. This approach reduces the misalignment of reads originating from splicing junctions. Unmapped reads not aligned on known transcripts are then mapped on the human genome reference. FX allows analysis of RNA-Seq data on cloud computing infrastructures, supporting access through a user-friendly web interface. Availability: FX is freely available on the web at (http://fx.gmi.ac.kr), and can be installed on local Hadoop clusters. Guidance for the installation and operation of FX can be found under the 'Documentation' menu on the website., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2013-08-29 17:23:58.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510146, userId=150635, achvDiv=101, achvNo=46, div=01, achvDivNm=학술지논문, achvNm=An Interpretation of Biological Metabolites and their Reactions Based on Relation Degree of Compound Pairs in KEGG XML Files, representDt=20100201, representYear=2010, publishOrgan=Recent Advances in System Applications and Methods, representNation=미국, journalNm=JOURNAL OF SOFTWARE, vol=5, edition=2, startPg=179, endPg=186, langDiv=ENG, studyField=공학 컴퓨터학 기타컴퓨터학, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510135, userId=150635, achvDiv=101, achvNo=35, div=01, achvDivNm=학술지논문, achvNm=튜터를 활용한 “컴퓨터정보통신 기초설계” 교과목의 e-Learning 강의사례, achvNmEtc=A Case Study of Online Tutoring on Computer Engineering Basic Design Education, representDt=20090301, representYear=2009, publishOrgan=한국공학교육학회, representNation=대한민국, journalNm=공학교육연구, vol=12, edition=1, startPg=73, endPg=81, issnNo=1738-6454, langDiv=KOR, abstCntn=본 논문은 공학기초설계 과목에서의, 사이버강좌를 통한 교육에서의 튜터의 역할에 관해서 논한다. 창의설계과목은 학생들과의 피드백이 매우 중요한 교과목으로서, 튜터와 교수, 학생간의 역할이 정확히 정립되어 있어야 함이 매우 중요하다. 이 논문에서는 튜터의 역할 중 교수법, 선후배간 유대관계, 관리차원과 기술적인 측면에서의 튜터들의 역할을 논의하고 있으며, 학생들의 참여도를 향상시킬 수 있는 튜터 활용의 중요성을 논하고 있다., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, regDiv=등재후보, indexed=등재후보, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510128, userId=150635, achvDiv=101, achvNo=28, div=01, achvDivNm=학술지논문, achvNm=Predicting the Interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service, representDt=20080101, representYear=2008, publishOrgan=BIOMED CENTRAL LTD, representNation=미국, journalNm=BMC BIOINFORMATICS, vol=9, startPg=41, issnNo=1471-2105, langDiv=ENG, abstCntn=Background: Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interactions and pathogenicity occur through PPIs. Phytopathogenic bacteria infect hosts through attachment to host tissue, enzyme secretion, exopolysaccharides production, toxins release, iron acquisition, and effector proteins secretion. Many such mechanisms involve some kind of protein-protein interaction in hosts. Our first aim was to predict the whole protein interaction pairs (interactome) of Xanthomonas oryzae pathovar oryzae (Xoo) that is an important pathogenic bacterium that causes bacterial blight (BB) in rice. We developed a detection protocol to find possibly interacting proteins in its host using whole genome PPI prediction algorithms. The second aim was to build a DB server and a bioinformatic procedure for finding target proteins in Xoo for developing pesticides that block host-pathogen protein interactions within critical biochemical pathways.Description: A PPI network in Xoo proteome was predicted by bioinformatics algorithms: PSIMAP, PEIMAP, and iPfam. We present the resultant species specific interaction network and host-pathogen interaction, XooNET. It is a comprehensive predicted initial PPI data for Xoo. XooNET can be used by experimentalists to pick up protein targets for blocking pathological interactions. XooNET uses most of the major types of PPI algorithms. They are: 1) Protein Str, studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510122, userId=150635, achvDiv=101, achvNo=22, div=01, achvDivNm=학술지논문, achvNm=Interaction proteome analysis of Xanthomonas Hrp proteins, representDt=20070201, representYear=2007, publishOrgan=KOREAN SOC MICROBIOLOGY & BIOTECHNOLOGY, representNation=대한민국, journalNm=JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY, vol=17, startPg=359, endPg=363, issnNo=1017-7825, langDiv=ENG, abstCntn=Because of the importance of the type III protein-secretion system in bacteria-plant interaction, its function in bacterial pathogenesis of plants has been intensively studied. To identify bacterial proteins interacting with Xanthomonas hrp gene products that are involved in pathogenicity, we performed the glutathione-bead binding analysis of Xanthomonas lysates containing GST-tagged Hrp proteins. Analysis of glutathione-bead bound proteins by I-DE and MALDI-TOF has demonstrated that Avr proteins, RecA, and several components of the type III secretion system interact with HrpB protein. This proteomic approach could provide a powerful tool in finding interaction partners of Hrp proteins whose roles in host-pathogen interaction need further studies., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510111, userId=150635, achvDiv=101, achvNo=11, div=01, achvDivNm=학술지논문, achvNm=Selection of neural differentiation-specific genes by comparing profiles of random differentiation, representDt=20060801, representYear=2006, publishOrgan=AlphaMed Press Inc, representNation=미국, journalNm=Stem Cells, vol=24, edition=8, startPg=1946, endPg=1955, issnNo=1066-5099, langDiv=ENG, abstCntn=Differentiation of embryonic stem cells (ESCs) into neurons requires a high level of transcriptional regulation. To further understand the transcriptional regulation of neural differentiation of ESCs, we used oligonucleotide microarray to examine the gene expressions of the guided differentiation (GD) model for dopaminergic (DA) neurons from mouse ESCs. We also determined the gene expression profiles of the random differentiation (RD) model of mouse ESCs into embryoid bodies. From K-means clustering analysis using the expression patterns of the two models, most of the genes (1,282 of 1,884 genes [68.0%]) overlapped in their expression patterns. Six hundred twenty-two differentially expressed genes (DEGs) from the GD model by random variance F-test were classified by their critical molecular functions in neurogenesis and DNA replication (Gene Ontology analysis). However, 400 genes among GD-DEGs (64.3%) showed a high correlation with RD in Spearman's correlation analysis (Spearman's coefficient ps ≥ .6). The genes showing marginal correlation (-.4 < p s < .6) were present in the early stages of differentiation of both GD and RD, which were non-specific to brain development. Finally, we distinguished 66 GD-specific genes based on ps ≤ -.4, the molecular functions of which were related mainly to vesicle formation, neurogenesis, and transcription factors. From among these GD-specific genes, we confirmed the expression of Serpini1 and Rab33a in P19 differentiation models , studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCOPUS, indexed=SCOPUS, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=1506351019, userId=150635, achvDiv=101, achvNo=9, div=01, achvDivNm=학술지논문, achvNm=A hybrid approach to combine HMM and SVM methods for the prediction of the transmembrane spanning region, representDt=20050914, representYear=2005, publishOrgan=SPRINGER-VERLAG BERLIN, representNation=독일, journalNm=KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, vol=3683, startPg=792, endPg=798, langDiv=ENG, abstCntn=Transmembrane proteins are the primary targets for the development of new drugs, and a number of algorithms that predict transmembrane topology are publicly available on the Web. In this paper, we present a novel approach using both SVM and HMM methods and we demonstrate that our system outperform the previous systems which only use either HMM methods or SVM methods alone., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510112, userId=150635, achvDiv=101, achvNo=12, div=01, achvDivNm=학술지논문, achvNm=SOAP API for integrating biological interaction databases, representDt=20050701, representYear=2005, publishOrgan=SPRINGER-VERLAG BERLIN, representNation=독일, journalNm=DATA INTEGRATION IN THE LIFE SCIENCES, PROCEEDINGS, vol=3615, startPg=305, endPg=308, langDiv=ENG, abstCntn=This paper presents design and implementation of SOAP API with which bioinformaticians can integrate the biological interaction datbases. While designing a web service based integration framework, it is not easy but important to define API for biological SOAP servers. Therefore, we propose in this paper a web service API especially for the interaction databases: BIND, DIP and MINT. The three databases are mirrored in our local computers on which we have implemented a prototype of SOAP servers for the interaction databases., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=1506351018, userId=150635, achvDiv=101, achvNo=8, div=01, achvDivNm=학술지논문, achvNm=Text mining from categorized stem cell documents to infer developmental stage-specific expression and regulation patterns of stem cells, representDt=20050601, representYear=2005, publishOrgan=SPRINGER-VERLAG BERLIN, representNation=독일, journalNm=NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS, vol=3513, startPg=353, endPg=356, langDiv=ENG, abstCntn=Exponentially increasing stem cell data provide means to elucidate the system level understanding of differentiation. Given the existing information on biological networks combined with huge amount of literature data, inferring stem cell information through scientific reasoning of data from on-line documents would get great attention. In this paper, we describe the STEMWAY system for combining known interaction informatics with text mining techniques. Especially, recent advances in natural language processing technique raise new challenges and opportunities for extracting valuable information from literature classified by the developmental stages of stem cells., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510117, userId=150635, achvDiv=101, achvNo=17, div=01, achvDivNm=학술지논문, achvNm=The genome sequence of Xanthomonas oryzae pathovar oryzae KACC10331, the bacterial blight pathogen of rice, representDt=20050130, representYear=2005, publishOrgan=OXFORD UNIV PRESS, representNation=영국, journalNm=NUCLEIC ACIDS RESEARCH, vol=33, startPg=577, endPg=586, issnNo=0305-1048, langDiv=ENG, abstCntn=The nucleotide sequence was determined for the genome of Xanthomonas oryzae pathovar oryzae (Xoo) KACC10331, a bacterium that causes bacterial blight in rice (Oryza sativa L.). The genome is comprised of a single, 4 941 439 bp, circular chromosome that is G + C rich (63.7%). The genome includes 4637 open reading frames (ORFs) of which 3340 (72.0%) could be assigned putative function. Orthologs for 80% of the predicted Xoo genes were found in the previously reported X.axonopodis pv. citri (Xac) and X.campestris pv. campestris (Xcc) genomes, but 245 genes apparently specific to Xoo were identified. Xoo genes likely to be associated with pathogenesis include eight with similarity to Xanthomonas avirulence (avr) genes, a set of hypersensitive reaction and pathogenicity (hrp) genes, genes for exopolysaccharide production, and genes encoding extracellular plant cell wall-degrading enzymes. The presence of these genes provides insights into the interactions of this pathogen with its gramineous host., studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510120, userId=150635, achvDiv=101, achvNo=20, div=01, achvDivNm=학술지논문, achvNm=The genome sequence of the ethanologenic bacterium Zymomonas mobilis ZM4, representDt=20050101, representYear=2005, publishOrgan=NATURE PUBLISHING GROUP, representNation=미국, journalNm=NATURE BIOTECHNOLOGY, vol=23, edition=1, startPg=63, endPg=68, issnNo=1087-0156, langDiv=ENG, abstCntn=We report the complete genome sequence of Zymomonas mobilis ZM4 (ATCC31821), an ethanologenic microorganism of interest for the production of fuel ethanol. The genome consists of 2,056,416 base pairs forming a circular chromosome with 1,998 open reading frames (ORFs) and three ribosomal RNA transcription units. The genome lacks recognizable genes for 6-phosphofructokinase, an essential enzyme in the Embden-Meyerhof-Parnas pathway, and for two enzymes in the tricarboxylic acid cycle, the 2-oxoglutarate dehydrogenase complex and malate dehydrogenase, so glucose can be metabolized only by the Entner-Doudoroff pathway. Whole genome microarrays were used for genomic comparisons with the Z. mobilis type strain ZM1 (ATCC10988) revealing that 54 ORFs predicted to encode for transport and secretory proteins, transcriptional regulators and oxidoreductase in the ZM4 strain were absent from ZM1. Most of these ORFs were also found to be actively transcribed in association with ethanol production by ZM4., studyField=공학 컴퓨터학 기타컴퓨터학, isiDiv=SCI, indexed=SCI, createDt=2012-09-01 00:00:00.0, entryDt=2016-11-04 11:37:47.0, pfhomeYn=Y, viewYn=Y, cateNm=학술지논문, cateEnNm=Publications in academic journals}, {seq=15063510276, userId=150635, achvDiv=102, achvNo=76, div=03, achvDivNm=저역서, achvNm=자바로 배우는 바이오인포매틱스, representDt=20060201, representYear=2006, totPg=524, startPg=1, endPg=524, langDiv=1, studyField=공학 컴퓨터학 컴퓨터응용 생물정보처리, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=저역서, cateEnNm=Authored/Translated Books}, {seq=15063510277, userId=150635, achvDiv=102, achvNo=77, div=03, achvDivNm=저역서, achvNm=펄로 시작하는 바이오인포매틱스, representDt=20020319, representYear=2002, totPg=509, createDt=2012-09-01 00:00:00.0, entryDt=2012-09-01 00:00:00.0, pfhomeYn=Y, viewYn=Y, cateNm=저역서, cateEnNm=Authored/Translated Books}]
연구실적
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  • 컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구 공학교육연구, 2019, v.22 no.6, 3-11
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective Genomics & Informatics, 2014, 제12권 4호, 145-150
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  • [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
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  • [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
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  • [학술지논문] 컴퓨터 초보자 소프트웨어교육에 있어서의 UML 도구의 적합성 연구 공학교육연구, 2019, v.22 no.6 , 3-11
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  • [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
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  • [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
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  • [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
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  • [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
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  • [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
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  • [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
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  • [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
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  • [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
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  • [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
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  • [학술지논문] FX: an RNA-Seq analysis tool on the cloud BIOINFORMATICS, 2012, v.28 no.5 , 721-723
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  • [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] 튜터를 활용한 “컴퓨터정보통신 기초설계” 교과목의 e-Learning 강의사례 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
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  • [학술지논문] Interaction proteome analysis of Xanthomonas Hrp proteins JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY, 2007, v.17 , 359-363
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  • [학술지논문] Selection of neural differentiation-specific genes by comparing profiles of random differentiation Stem Cells, 2006, v.24 no.8 , 1946-1955
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  • [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
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  • [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 국내 : 특허, 출원
  • [지적재산권] 세포내 단백질 위치정보를 이용한 단백질 신호전달 경로 추출 및 예측 LocSPF 알고리즘 구현(10-2009-0093460) 국내 : 특허, 출원
강의
  • 2020-2학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 [비대면수업]
    • 융합소프트웨어기초설계

      • 학수번호 38896분반 01
      • 2학년 ( 3학점 , 3시간) 월 7~7 (동창201-1) , 목 7~7 (동창201-1)
      • 팀티칭, 전공특화소프트웨어융합전공 전공필수 교과목, 추가개설[비대면수업]
    • 인공지능과딥러닝개론

      • 학수번호 38901분반 01
      • 3학년 ( 3학점 , 3시간) 화 4~4 (공학A107) , 금 5~5 (공학A125)
      • 이론1.5, 실습1.5[비대면수업]
    • 인공지능특론

      • 학수번호 G14523분반 01
      • 학년 ( 3학점 , 3시간) 수 6~7 (공학)
  • 2020-1학기

    • 인공지능 강의 계획서 상세보기

      • 학수번호 20480분반 01
      • 4학년 ( 3학점 , 3시간) 월 7~7 (공학A125) , 목 7~7 (공학)
      • ABEEK
    • 융합소프트웨어기초설계 강의 계획서 상세보기

      • 학수번호 38896분반 01
      • 2학년 ( 3학점 , 3시간) 수 7~7 (공학A125) , 금 7~7 (공학A125)
      • 추가개설
  • 2019-2학기

    • JAVA프로그래밍및실습 강의 계획서 상세보기

      • 학수번호 35914분반 03
      • 2학년 ( 3학점 , 4.5시간) 목 4~4 (공학) , 목 5~6 (151)
    • 바이오인포매틱스알고리즘 강의 계획서 상세보기

      • 학수번호 G14554분반 01
      • 학년 ( 3학점 , 3시간) 수 6~7 (공학A121)
      • 강의실변경
  • 2019-1학기

    • 호크마세미나

      • 학수번호 11302분반 23
      • 1학년 ( 1학점 월 7~7 (캠)
      • 인간과 컴퓨터의 대화
    • 4차산업혁명시대의미래공학 강의 계획서 상세보기

      • 학수번호 11306분반 01
      • 1학년 ( 3학점 , 3시간) 금 3~4 (종A)
      • 전공탐색교과목(호크마대 1학년 수강 권장), 재수강불가, 1학년만 수강 가능, 2~4학년 수강불가, 팀티칭
    • 소프트웨어융합창의설계 강의 계획서 상세보기

      • 학수번호 36503분반 01
      • 2학년 ( 3학점 , 4.5시간) 목 5~5 (공학) , 목 6~7 (151)
      • 전공필수,ABEEK 전공필수
    • 기계학습과인공지능 강의 계획서 상세보기

      • 학수번호 38482분반 01
      • 3학년 ( 3학점 , 3시간) 수 7~7 (정보405-1) , 금 6~6 (정보405-1)
      • ABEEK
  • 2018-2학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간) 화 7~7 (포555) , 목 6~6 (포555)
      • 팀티칭, 큐브(콘텐츠)
    • JAVA프로그래밍및실습 강의 계획서 상세보기

      • 학수번호 35914분반 02
      • 2학년 ( 3학점 , 4.5시간) 금 3~5 (공학A121)
      • ABEEK
    • 자연어처리특론 강의 계획서 상세보기

      • 학수번호 G14458분반 01
      • 학년 ( 3학점 , 3시간) 목 5~6 (공학A121)
  • 2017-2학기

  • 2017-1학기

    • 프로그래밍언어론 강의 계획서 상세보기

      • 학수번호 20499분반 01
      • 3학년 ( 3학점 , 3시간) 월 4~4 (공학) , 목 5~5 (151)
      • 전공필수,시간변경,강의실변경,ABEEK
    • 프로그래밍언어론 강의 계획서 상세보기

      • 학수번호 20499분반 02
      • 3학년 ( 3학점 , 3시간) 화 2~2 (공학) , 금 3~3 (151)
      • 전공필수,시간변경,ABEEK
    • 소프트웨어융합창의설계 강의 계획서 상세보기

      • 학수번호 36503분반 01
      • 2학년 ( 3학점 , 4.5시간) 수 5~5 (공학) , 수 6~7 (151)
      • 전공필수,강의실변경,ABEEK 전공필수, 구)컴퓨터공학기초설계
    • 소프트웨어융합창의설계 강의 계획서 상세보기

      • 학수번호 36503분반 02
      • 2학년 ( 3학점 , 4.5시간) 금 5~7 (공학A125)
      • 전공필수,시간변경,강의실변경,ABEEK 전공필수, 구)컴퓨터공학기초설계
학력

University of Cambridge Ph.D.(컴퓨터)

University of Pennsylvania M.S.(컴퓨터)

서울대학교 공학사(전자공학과)