李美晶

李美晶，博士，上海海事大學講師。

基本介紹

  • 中文名：李美晶
  • 畢業院校：韓國忠北國立大學
  • 學位/學歷：博士
  • 職業：教師
  • 專業方向：大數據挖掘、文本挖掘、生物信息學、人工智慧、網路數據挖掘
  • 任職院校：上海海事大學
  • 性別：女
個人經歷,教育工作,研修,研究方向,學術成果,研究課題,發表文章,國際會議,榮譽獎項,

個人經歷

教育工作

2016.4～至今 上海海事大學，信息工程學院計算機系，講師
2015.4～2016.3 韓國忠北國立大學 韓-德幹細胞再生醫學國際聯合研究所Database/Bioinformatics研究室 （博士後研究員）
2015.3～2015.6 韓國忠北國立大學 （講師）課程：《基於網際網路的軟體開發—HTML5，CSS3，JavaScript》、《基礎程式語言—C語言》等
2010.3～2015.2 韓國忠北國立大學電子信息學院計算機科學專業（獲工學博士學位）
2008.3～2010.2 韓國忠北國立大學電子信息學院生物信息學專業 （獲工學碩士學位）

研修

2009 俄羅斯莫斯科大學腦波實驗室
2010 新加坡南洋大學Bioinformatics Center

研究方向

Big data mining (大數據挖掘), Text mining (文本挖掘), Bioinformatics (生物信息學), Artificial intelligence (人工智慧), Web data mining (網路數據挖掘) 等

學術成果

研究課題

主持及參與三項國家自然科學基金項目，主導開發四個“韓國NIH疾病管理本部”生物信息科學項目，並參與開發三個韓國國家項目。
  1. 國家自然科學基金，大數據環境下基於生物醫學本體的文獻無監督分類方法研究，在研，主持
  2. 國家自然科學基金，複雜網路二類冪律演化機制及其在fMRI腦網路疾病檢測中的套用，在研，參與
  3. 國家自然科學基金， 基於fMRI-GCM的海員腦功能有效連線監測及套用研究，立項，參與
  4. Improvement and implement of text mining algorithm based on biological network(基於生物網路的文本挖掘算法的改進及實現)(Korea Centers for Disease Control and Prevention)
  5. Development of RNA-Seq count data simulator and analysis comparatively normalization methods from RNA-Seq data(基於RNA測序的基因表達量推算算法的比較、分析及工具開發)(Korea Centers for Disease Control and Prevention)
  6. Study on genetic information extraction algorithm using Bio-text mining(基於生物醫學文本挖掘的生物學信息提取算法的研究)(Korea Centers for Disease Control and Prevention)
  7. Development of Biomedical Literature Mining System(生物醫學文獻挖掘系統的開發)(Korea Centers for Disease Control and Prevention)
  8. Self-organizing knowledge evolution technology for personalized medicine(個人特化醫療的自組知識進化技術的開發)(National Research Foundation of Korea)
  9. Big data analysis for smart life care service(基於智慧型空間大數據的智慧型生活服務)(National Research Foundation of Korea)
  10. Automatic cardiovascular disease diagnostic system(生物信息及疾病診斷系統開發)(National Research Foundation of Korea)

發表文章

發表過50篇國際期刊、會議論文，7篇韓國核心會議論文。其中6篇SCI檢索，18篇EI檢索期刊及會議論文，3篇Scopus檢索期刊論文。
  1. Meijing Li,Xiuming Yu, Keun Ho Ryu, Sanghyuk Lee*，Nipon Theera-Umpon, Face Recognition Technology Development with Gabor, PCA and SVM Methodology under Illumination Normalization Condition, Cluster Computing, 2017, Accepted.
  2. Meijing Li, Tsendsuren Munkhdalai, Xiuming Yu and Keun Ho Ryu, “PPIMiner: a Novel Method for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction,” Mathematical Problems in Engineering
  3. Meijing Li, Xiuming Yu, Keun Ho Ryu, “MapReduce-based Web Mining for Prediction of Web-User Navigation,”Journal of Information Science
  4. Tsendsuren Munkhdalai,Meijing Li, Khuyagbaatar Batsuren, Hyun Ah Park, Nak Hyeon Choi, Keun Ho Ryu (2015), “Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations,”Journal of Cheminformatics
  5. Mohamed bashir, Dong Gyu Lee,Meijing Li, Ho Sun Shon, Keun Ho Ryu, “Trigger Learning and ECG Parameter Customization for Remote Cardiac Clinical Care Information System,”IEEE Transactions on Information Technology in Biomedicine
  6. Meijing Li, Tsendsuren Munkhdalai, Seong Beom Cho and Keun Ho Ryu , “PubCluster: a PubMed document clustering tool with network-based similarity measures,” Bioinformatics Application note
  7. Meijing Li, Keun Ho Ryu, Sentiment Analysis based on Generative Feature in Chinese News, The 3rd International Conference on Smart Grid Technology and Data Processing (SGTDP 2017), Suzhou, China
  8. Quang Hiep Vu,Meijing Li, Keun Ho Ryu, “Assessment of electromagnetic Frequency Sounding Problem in a Near Surface Geological Environment,”Journal of Advanced Computational Intelligence and Intelligent Informatics
  9. Tsendsuren Munkhdalai,Meijing Li, Un-il Yun, Namsrai Oyun-Erdene, Keun Ho Ryu, “An Active Co-Training Algorithm for Biomedical Named-Entity Recognition,”Journal of Information Processing Systems
  10. Namsrai Erdenetuya, Tsendsuren Munkhdalai,Meijing Li, Jung-Hoon Shin, Namsrai Oyun-Erdene, Keun Ho Ryu, “A Feature Selection-based Ensemble Method for Arrhythmia Classification,”Journal of Information Processing Systems
  11. Meijing Li, Xiuming Yu, Taewook Kim, Keun Ho Ryu, “Prediction of protein disordered regions in a protein sequence based on gap-constraint subsequence patterns,”4th International Conference on Awareness Science and Technology ( iCAST 2013)
  12. Meijing Li, Keun Ho Ryu, “Temporal gene interaction regulatory networks model using temporal relation rules and 3D cube mining,”IET Conference on Assisted Living 2009
  13. Quang Hiep Vu,Meijing Li, Thi Hong Nhan Vu, Keun Ho Ryu, “A Novel Clustering Method for Animal Trajectory Analysis using Wireless Sensor Network,”2013 International Conference on Awareness Science and Technology
  14. Xiuming Yu,Meijing Li, Incheon Paik, Keun Ho Ryu, “Prediction of web user behavior by discovering temporal relational rules from web log data,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS,
  15. Xiuming Yu,Meijing Li, Hyeongsoo Kim, Dong Gyu Lee, Jeong Seok Park, Keun Ho Ryu, “A Novel Approach to Mining Access Patterns,”3rd International Conference on Awareness Science and Technology
  16. Tsendsuren Munkhdalai,Meijing Li, Namsrai Erdenetuya, Namsrai Oyun-Erdene, Keun Ho Ryu, “BFSM: Finite State Machine Learned as Name Boundary Definer for Bio Named Entity Recognition,”3rd International Conference on Awareness Science and Technology
  17. Tsendsuren Munkhdalai,Meijing Li, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Bio Named Entity Recognition based on Co-training Algorithm,”
  18. Xiuming Yu,Meijing Li, Dong Gyu Lee, Kwang Deuk Kim, Keun Ho Ryu, “Application of Closed Gap-constrained Sequential Pattern Mining in Web Log Data,”2011 2nd International Conference of Electrical and Electronics Engineering , December 2011.
  19. Minghao Piao,Meijing Li, Keun Ho Ryu, “Using Significant Classification Rules to Analyze Korean Customers’ Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method,”
  20. Yoon Kyeong Lee,Mejing Li, Heon Gyu Lee, Keun Ho Ryu, Hak Yong Kim, “Prediction of fold and unfold regions in a protein by using emerging substring algorithm,”
  21. Eonseok Shin, Tsendsuren Munkhdalai,Meijing Li, INcheon Paik, Keun Ho Ryu, “A Self-Training with Active Example Selection Criterion for Biomedical Named Entity Recognition,”
  22. Peipei Li, Lyong Heo,Meijing Li, Keun Ho Ryu, “Protein Function Prediction Using Frequent Patterns In Protein-Protein Interaction Networks,”2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011)
  23. Meijing Li,Seong Beom Cho, Keun Ho Ryu, “A Novel Approach for Predicting Disordered Regions in A Protein Sequence,” Osong Public Health and Research Perspectives,
  24. Hyeon Ah Park, Taewook Kim,Meijing Li, Ho Sun Shon, Jeong Seok Park, Keun Ho Ryu, “Application of Gap-Constraints Given Sequential Frequent Pattern Mining for Protein Function Prediction.” Osong Public Health and Research Perspectives (2015).
  25. Feifei Li, Minghao Piao, Yongjun Piao,Meijing Li, Keun Ho Ryu, “A New Direction of Cancer Classification: Positive Effect of Low-Ranking MicroRNAs,” Osong Public Health and Research Perspectives, September 2014. (Scopus源期刊)
  26. Meijing Li, Keun Ho Ryu, “Temporal gene interaction regulatory networks model using temporal relation rules and 3D cube mining,”IET Conference on Assisted Living 2009, in London, England.
  27. Keun Ho Ryu，Meijing Li,Ibrahim Musa Ishag Musa, “Biomedical Text Mining: An Overview and An Exemplary Application,”International Conference on Information and Convergence Technology for Smart Society, Jan. 21-24, 2015 in Bangkok, Thailand
  28. Meijing Li, Xiuming Yu, A New Ontology based Semantic Similarity Calculation Method for Biomedical Document Clustering, The International Conference on Information, System and Convergence Applications (ICISCA 2018), Bangkok, Thailand
  29. Xiuming Yu,Meijing Li, Taewook Kim, Seon-phil Jeong, Keun Ho Ryu, Un-il Yun, Kyung Joo Cheoi, Keun Ho Ryu, “An application of improved gap-BIDE algorithm for discovering access patterns,”Journal of Applied Computational Intelligence and Soft Computing, Volume 2012, January 2012.
  30. Meijing Li, Tsendsuren Munkhdalai,Khuyagbaatar Batsuren,Keun Ho Ryu, “A Bio-Document Clustering System Based on Multiple Similarity Calculation Method,”
  31. Meijing Li, Tsendsuren Munkhdalai, Taewook Kim, Peipei Li, Keun Ho Ryu, “A Bio-Textmining System for Protein-Protein Interaction Extraction,”
  32. Meijing Li, Kwang Su Jung, Keun Ho Ryu, “A Novel Approach for Predicting Disordered Regions,”
  33. Meijing Li, Peipei Li, Keun Ho Ryu, “A Novel Approach for Prediction of Protein Secondary Structure Classes,”
  34. Meijing Li, Minghao Piao, Ho Sun Shon, Keun Ho Ryu, “Constructing Gene Regulatory Networks Model from 3-Dimensioal Gene Expression data,”
  35. Meijing Li, Yoon Kyeong Lee, Park Jin Hyoung, Heon Gyu Lee, Hak Yong Kim, Keun Ho Ryu, “Prediction of Protein Disordered and Ordered Region,”
  36. Yongjun Piao, Nak Hyun Choi,Meijing Li, Keun Ho Ryu, “Correlation analysis of RNA-Seq and qRT-PCR for detection of differentially expressed genes,”
  37. Nak Hyeon Choi, Youngjun Piao,Meijing Li, Keun Ho Ryu, “Comparison of combination of feature selection methods and classification methods for multiclass cancer classification from RNA-seq gene expression data,”
  38. Khuyagbaatar Batsuren, Tsendsuren Munkhdalai,Meijing Li, Keun Ho Ryu, “Keyword Extraction Using Anti-pattern,”
  39. Feifei Li, Yongjun Piao,Meijing Li, PIAO MINGHAO, Keun Ho Ryu, “POSITIVE IMPRESSION OF LOW-RANKING MICRORNAS IN HUMAN CANCER CLASSIFICATION,”
  40. Tsendsuren Munkhdalai,Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu, “BANNER-CHEMDNER: Incorporating Domain Knowledge in Chemical and Drug Named Entity Recognition,”BioCreative IV Proceedings 2013
  41. Tsendsuren Munkhdalai,Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu, “A Computational Approach for Biomedical Event Extraction,”
  42. Khuyagbaatar Batsuren, Tsendsuren Munkhdalai,Meijing Li, Namsrai Erdenetuya, Keun Ho Ryu, “A Novel Method of SMS Spam Filtering using Multiple Features,”
  43. Xiuming Yu,Meijing Li, Keun Ho Ryu, “Patient Management System of Cardiovascular Drug Trials Based-on Software Architecture,”
  44. Yongjun Piao,Meijing Li, Minghao Piao, Keun Ho Ryu, “An Ensemble Method for Cancer Classification With MicroRNA Expression Profiles”ISMB/ECCB 2013, July 2013.
  45. Namsrai Erdenetuya,Meijing Li, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Comparison of Different Classification Techniques for Arrhythmia,”
  46. Tsendsuren Munkhdalai,Meijing Li, Namsrai Erdenetuya, Taewook Kim, Namsrai Oyun-Erdene, Keun Ho Ryu, “Comparison of Classifiers for Disease Named Entity Recognition,”
  47. Taewook Kim,Meijing Li, Keun Ho Ryu, “Prediction of Protein Function from Protein-Protein Interaction Network by Weighted Graph Mining,”
  48. Jeon Seo In, Taewook Kim, Ho Sun Shon,Meijing Li, Keun Ho Ryu, “Frequent Pattern Mining for Protein Function Prediction in Protein-Protein Interaction Network,”The 2012 International Conference on Convergence Technology (ICCT 2012)
  49. Namsrai Erdenetuya, Tsendsuren Munkhdalai,Meijing Li, Namsrai Oyun-Erdene, Keun Ho Ryu, “Improving the Performance of Arrhythmia Classification using Ensemble Method,”The 2012 International Conference on Convergence Technology (ICCT 2012)
  50. Xiuming Yu,Meijing Li, Dong Gyu Lee, Kwang Deuk Kim, Keun Ho Ryu, “Application of Closed Gap-constrained Sequential Pattern Mining in Web Log Data,”2nd International Conference of Electrical and Electronics Engineering (ICEEE 2011)
  51. Namsrai Erdenetuya, Tsendsuren Munkhdalai,Meijing Li, Keun Ho Ryu, “An Ensemble Method for Classification of Arrhythmia with Feature selection,”The 22nd International conference on Genome Informatics (GIW 2011 )
  52. Xiuming Yu,Meijing Li, Hyeongsoo Kim, “Mining Access Patterns Using Temporal Interval Relational Rules from Web Logs,”The 4th International Conference FITAT/DBMI 2011
  53. Peipei Li, Pok Gouchol,Meijing Li, “Identification of Hot Spots in Proteins Combining Small-world Network Characteristics and Solvent Accessibility,”The 4th International Conference FITAT/DBMI 2011
  54. Tsendsuren Munkhdalai,Meijing Li, Kwang Su Jung, Namsrai Oyun-Erdene, “Status of Entity Identification Technologies in Bio-Text Mining System,”The 4th International Conference FITAT/DBMI 2011
  55. Xiuming Yu,Meijing Li, Ho Sun Shon, Yang Koo Lee, Keun Ho Ryu, “CLOSED GAP-CONSTRAINED SEQUENTIAL PATTERN MINING IN WEB LOGS DATA,”International Symposium on Remote Sensing (ISRS 2010), January 2010.
  56. Khalid E.K. Saeed, Meijing Li, Minghao Piao, Heon Gyu Lee, Keun Ho Ryu, “An Efficient Technique for Classifying Protein Data,”

國際會議

  1. IET Conference on Assisted Living, London, United Kingdom, March 2009
  2. 23rd International Conference on Database and Expert Systems Applications (DEXA 2012), Vienna, Austria, September 3-6, 2012
  3. The 40th International Conference on Very Large Data Bases (VLDB 2014), Hangzhou, China, September 1- 5, 2014
  4. 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISBM) & 8th European Conference on Computational Biology (ECCB), Stockholm, Sweden, June 27-July 2, 2009
  5. 19th Annual International Conference on Intelligent Systems for Molecular Biology (ISBM) & 10th European Conference on Computational Biology (ECCB), Vienna, Austria, July 15-19, 2011

榮譽獎項

  1. 2008/03-2010/02獲韓國忠北大學 “Bio-IT”獎學金
  2. 2010/03-2014/02 獲韓國 “Brain Korea 21”獎學金
  3. 2009年 獲FITAT2009學會最佳論文獎
  4. 2011年 獲韓國冬季融合學會優秀論文獎
  5. 2016-2017學年 信息工程學院優秀教師

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