계당교양교육원 소개

계당교양교육원장

계당교양교육원장 원장프로필
성명 정수열
학위 박사
세부전공 도시경제지리전공
원장실 인문사회과학대학관(N301-2)
연락처 02-2287-5109

 

사진
학위
  • 박사, University of Akron 공대응용수학 (세부전공 : 수치해석), 200412
  • 석사, University of Akron 응용수학과 (세부전공 : 수치해석), 199912
  • 학사, 경상대학교 수학교육, 198702
경력
  • 선임연구원, 질병관리본부, (2013.04~2013.07)
  • 선임연구원, 보스톤대학교(미국), (2009.03~2011.01)
  • 선임연구원, 서울대학교, (2006.03~2007.03)
논문
  • A Computational Approach for Pathway-Based Systemic Drug Influence, PROCESSES, 202106
  • A New Computational Approach to Evaluating Systemic Gene-Gene Interactions in a Pathway Affected by Drug LY294002, PROCESSES, 202010
  • PHYSICAL ACTIVITY AND CARDIORESPIRATORY FITNESS ATTENUATE THE IMPACT OF SARCOPENIC-OBESITY ON CARDIOVASCULAR DISEASE RISK IN KOREAN MEN: A CROSS SECTIONAL STUDY, JOURNAL OF MENS HEALTH, 202006
  • A miRNA- and mRNA-seq-Based Feature Selection Approach for Kidney Cancer Biomakers, Cancer Informatics, 202002
  • Lifestyle risk factors and all-cause and cariovascular disease mortality: an analysis of data from the Korean longitudinal study of aging(KLoSA), INternational Journal of environmental Research and public health, 201908
  • Pathway Interactions Based on Drug-Induced Datasets, Cancer Informatics, 201905
  • Physical activity and all-cause mortality in Korean older adults, ANNALS OF HUMAN BIOLOGY, 201807
  • Computational Model for Predicting the Relationship Between mirco-RNAs and Their Target Messenger RMAs in Breast and Colon Cancers, Cancer Informatics, 201807
  • Insulin Resistance and Its Association with Metabolic Syndrome in Korean Children, BIOMED RESEARCH INTERNATIONAL, 201712
  • Dynamic cancer pathway interaction analysis using pathway rankings based on static datasets, Indian journal of applied research, 201711
  • Comparisons of cancer classifiers based on RNA_ seq and miRNA_ seq, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 201708
  • Identifying dynamic pathway interactions based on clinical information, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 201706
  • Some comparisons of gene expression classifiers, Bioinformatics and Biomedicine, 2016 IEEE international conference on, 201612
  • An overview of integrative analysis in cancer studies, Integrative cancer science and Therapeutics, 201605
  • A method of generating new data sets based on copy number for cancer analysis, Biomed research international, 201503
  • Identifying molecular subtypes related to clinicopathologic factors in pancreatic cancer, BIOMEDICAL ENGINEERING ONLINE, 201412
  • Cancer survival classification using integrated data sets and intermediate information, ARTIFICIAL INTELLIGENCE IN MEDICINE, 201406
  • Computational methods for cancer survival classification using intermediate information, IWBBIO2013, 201303
  • Pathway-based classification of cancer subtypes, BIOLOGY DIRECT, 201207
  • Regularization techniques for machine learning on graphs and nwetworks with biological application, Communications in mathematical analysis, 201010
  • Smoothing gene expression using biological networks , machine learning and application, 201003
  • GNB3 C825T Polymorphism and Elevated Blood Pressure, INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 200912
  • Identifying the target mRNAs of microRNAs in colorectal cancer, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 200902
  • Inferring gene regulatory networks from temporal expression profiles under time-delay and noise, COMPUTATIONAL BIOLOGY AND CHEMISTRY, 200708
  • Parameter identification for nonlinear viscoelastic rod using minimal data, Journal of Applied Mathematics and Informatics, 200701
  • Parameter identification for nonlinear elastic and viscoelastic plates, Applied Numerical Mathematics, 200612
저역서
  • 정석 공업수학 : 2169문제 그리고 해답. 2, 홍릉과학출판사, 20150910
학술발표
  • A computational approach for drug efficacy in pathways, 대한수학회, 20210430
  • Computational method for cancer survival classification using intermediate information, 한국유전체학회, 20200206
  • DRUG-based pathway interaction, 생명과학정보회, 20190826
  • Pathway-based classification and drug-induced pathway interaction, 연세대학교, 20181208
  • Computational models for clinical information, 대한수학회, 20181004
  • Comparisons of Cancer biomarker Discovery Using five statistic methods using RNA-seq and miRNA-seq, cambridge health institute, 20180212
  • Dynamic pathway interaction in cancer datasets, 포항공대, 20170823
  • A method for time dependent pathway networks, international society for computaional biology, 20170723
  • A computational model for identifying dynamic pathway interactions based on clinical information, 대한 수학회, 20170429
  • Some comparisons of gene expression classifiers, Harbin Institute of tech, 20161215
  • Breast cancer의 발병 및 진행에 관여하는 통합된 인자 발견을 위한 수학적 데이터 통합 방법, 한국여성수리과학회, 20161028
  • An approach for inferring dynamic pathway interactionusing cancer datasets, Korean society of bioinformatics and systems biology, 20161016
  • pathway classification and time dependent pathway interaction using cancer datasets, 대한수학회, 20160422
수상
  • 우수강의상 (서울), 상명대학교 , 20230822
  • 마르퀴즈 후즈 후 , 마르퀴즈 후즈 후, 201712
프로젝트
  • (4/4)빅 데이터 통합과 machine learning에 의한 암 아류 분석과 암 아류에 따른 drug reposition을 위한 수학적 모델 개발 , 과학기술정보통신부, (2020.03~2021.02)
  • (3/4)빅 데이터 통합과 machine learning에 의한 암 아류 분석과 암 아류에 따른 drug reposition을 위한 수학적 모델 개발 , 과학기술정보통신부, (2019.03~2020.02)
  • (2/4)빅 데이터 통합과 machine learning에 의한 암 아류 분석과 암 아류에 따른 drug reposition을 위한 수학적 모델 개발 , 과학기술정보통신부, (2018.03~2019.02)
  • (1/4)빅 데이터 통합과 machine learning에 의한 암 아류 분석과 암 아류에 따른 drug reposition을 위한 수학적 모델 개발 , 과학기술정보통신부, (2017.03~2018.02)
  • 빅데이터를 활용한 암진행 pathway network 추론 모델 개발(2/2), 교육부 , (2016.11~2017.10)
  • 빅데이터를 활용한 암진행 pathway network 추론 모델 개발 (1/2), 교육부 , (2015.11~2016.10)
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