PROFILE

I’m currently an assistant professor at Division of Data Science, The University of Suwon. My research area focuses on bioinformatics to develop AI-based bio-medical tools for analyzing high throughput next generation sequencing data from various organisms, such as, rice, Arabidopsis, mouse and human.

  • Assistant professor at Division of Data Science and Director of DS&ML Center, The University of Suwon

  • Location : 1012, Building of Global Business, The University of Suwon, 17, Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do 18323, Republic of Korea
  • TEL : +82-31-229-8762
  • E-mail : hongryulahn@gmail.com

EDUCATIONS

2012.9. – 2019.2. Ph.D. in Computer Science and Engineering, Seoul National University, Seoul, South Korea
[Ph. D. Dissertation] Clustering-Based Integrated Analysis of Time-Series Gene Expression Data to Identify Stress-Responsive Genes

2005.3. - 2012.2. BS in Computer Science and Engineering, Seoul National University, Seoul, South Korea

EXPERIENCES

2021.3. – present. Director of DS&ML Center, The University of Suwon, Hwaseong-si, Gyeonggi-do, South Korea

2020.3. – present. Assistant Professor at Division of Data Science, The University of Suwon, Hwaseong-si, Gyeonggi-do, South Korea

2019.9. – 2020.2. Research Fellow at BK21+ Program, Department of Computer Science and Engineering, Seoul National University, Seoul, South Korea

2019.3. – 2019.9. Research Fellow at Bioinformatics Institute, Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea

2012.3. – 2012.8. Research Intern. Bio-MAX/N-Bio institute, Seoul National University, Seoul, South Korea

2008.1. – 2009.12. Military service at ROK army, South Korea

RESEARCHES

2020.03.01. – present. Development of graph convolutional neural network model using transcriptome data for treatment for lung squamous cell carcinoma.

2015.01.15. – 2017.12.31. Development of environmental stress responsive genes via genomic expression profiling using integrative bioinformatics analyses.

2014.11.01. – 2020.02.29. Development of high performance analysis technologies and open platforms for the integrated analysis of genomics data.

2012.07.01. – 2017.06.30. Development of Enabling Software Technology for Mining Big Data in Natural Science(Bio-informatics).

2012.05.01. – 2014.12.31. Development of abiotic stress related genes for global GM crops via genomics and epigenomics.

PUBLICATIONS

International Articles (Journal Papers / Conference Proceedings)

J Park, Ahn H, Youn K, Lee M, Hong S*. "Ensemble Learning to Identify Depression Indicators for Korean Farmers" IEEE Access, 2023 Oct 23. [link]

Ahn H (First), Jung I, Chae H, Oh M, Kim I, Kim S*. "IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data" 2021 IEEE International Conference on Big Data (Big Data), 2021 Dec 15. [link]

Jung J, Hwang Y, Ahn H, Lee S*, Yoo S*. "Precise Characterization of Genetic Interactions in Cancer via Molecular Network Refining Processes" International Journal of Molecular Sciences [SCIE journal, IF:5.924, JCR: top 23%], 2021 Oct 15. [link]

Kang H, Ahn H (Joint-First), Jo K, Oh M, Kim S*. "mirTime: Identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering". Bioinformatics [SCI journal, IF:4.531, JCR: top 6%], 2021 Jun 1. [link]

Pak M, Jung D, Moon JH, Ahn H, Hur B, Lee S, Kim S*. "Network Propagation for the Analysis of Multi-omics Data" Recent Advances in Biological Network Analysis, 2021 Jan 13. [link]

Jo HY, Lee Y, Ahn H, Han HJ, Kwon A, Kim BY, Ha HY, Kim SC, Kim JH, Kim YO, Kim S, Koo SK*, Park MH*. "Functional in vivo and in vitro effects of 20q11.21 genetic aberrations on hPSC differentiation" Scientific Reports [SCI(E) journal, IF:3.998, JCR: top 24%], 2020 Oct 29. [link]

Hoang NV, Choe G, Zheng Y, Fandiño ACA, Sung I, Hur J, Kamran M, Park C, Kim H, Ahn H , Kim S, Fei Z, Lee JY*. "Identification of Conserved Gene-Regulatory Networks that Integrate Environmental Sensing and Growth in the Root Cambium" Current Biology [SCI journal, IF:9.601, JCR: top 4%], 2020 Aug 3. [link]

Lee CJ, Ahn H, Jeong D, Park M, Moon JH, Kim S*. "Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer". BMC Medical Genomics [SCIE journal, IF:2.568, JCR: top 53%], 2020 Feb 24. [link]

Kang D, Ahn H (Joint-First), Lee S, Lee CJ, Hur J, Jung W*, Kim S*. "StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in Arabidopsis". BMC Genomics [SCIE journal, IF:3.501, JCR: top 30%], 2019 Dec 20. [link]

Ahn H (First), Jung I, Chae H, Kang D, Jung W*, Kim S*. "HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis". BMC Bioinformatics [SCIE journal, IF:2.511, JCR: top 15%], 2019 Dec 2. [link]

Ahn H (Joint-First), Jo K, Jung D, Pak M, Hur J, Jung W*, Kim S*. "PropaNet: time-varying condition-specific transcriptional network construction by network propagation". Frontiers in Plant Science [SCIE journal, IF:4.106, JCR: top 9%], 2019 Jun 14. [link]

Ahn H (Joint-First), Son S, Kim S*. "DeepFunNet: Deep learning for gene functional similarity network construction". In The 6th IEEE International Conference on Big Data and Smart Computing (BigComp), 2019 Feb 27. [link]

Kang D, Ahn H (Joint-First), Lee S, Lee CJ, Hur J, Jung W*, Kim S*. "Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data". In The 2018 International Conference on Bioinformatics and Biomedicine (BIBM), 2018 Dec 3. [link]

Ahn H (First), Jung I, Chae H, Kang D, Jung W, Kim S*. "HTRgene: Integrating multiple heterogeneous time-series data to investigate cold and heat stress response signaling genes in Arabidopsis". In The 2018 International Conference on Bioinformatics and Biomedicine (BIBM), 2018 Dec 3. [link]

Jung I, Jo K, Kang H, Ahn H, Yu Y, Kim S*. "TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes". Bioinformatics [SCI journal, IF:4.531, JCR: top 6%], 2017 Dec 1. [link]

Ahn H (First), Jung I, Shin SJ, Park J, Rhee S, Kim JK, Jung W, Kwon HB*, Kim S*. "Transcriptional network analysis reveals drought resistance specific biological mechanisms underlying AP2/ERF transgenic rice species". Frontiers in Plant Science [SCIE journal, IF:4.106, JCR: top 9%], 2017 Jun 15. [link]

Ahn H (First), Chae H, Jung W, Kim S*. "Integration of heterogeneous time series gene expression data by clustering on time dimension". In The 4th IEEE International Conference on Big Data and Smart Computing (BigComp), 2017 Mar 20. [link]

Jung I, Ahn H, Shin SJ, Kim JK, Kwon HB, Jung W, Kim S*. "Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice". BMC Systems Biology [SCI journal, IF:2.048, JCR: top 37%], 2016 Dec 23. [link]

Shin SJ, Ahn H, Jung I, Rhee S, Kim S, Kwon HB*. "Novel drought-responsive regulatory coding and non-coding transcripts from Oryza Sativa L". Genes & Genomics [SCIE journal, IF:0.759], 2016 Oct 23. [link]

Lee CJ, Ahn H, Lee SB, Shin JY, Park WY, Kim JI, Lee J, Ryu H*, Kim S*. "Integrated analysis of omics data using microRNA-target mRNA network and PPI network reveals regulation of Gnai1 function in the spinal cord of Ews/Ewsr1 KO mice". BMC Medical Genomics [SCIE journal, IF:2.568, JCR: top 53%], 2016 Aug 12. [link]

Kim KY, Hwang YJ, Jung MK, Choe J, Kim Y, Kim S, Lee CJ, Ahn H, Lee J, Kowall NW, Kim YK, Kim JI, Lee SB, Ryu H*. "A multifunctional protein EWS regulates the expression of Drosha and microRNAs". Cell Death and Differentiation [SCI journal, IF: 8.086, JCR: top 9%], 2014 Jan. [link]

* : Correspondence

International Conference Presentations

Ahn H*. "Network Propagation Embedded Deep Neural Network for Disorder Gene Prediction". The 28th International Conference on Intelligent Systems for Molecular Biology (ISMB), Virtual Conference, 2020 Jul 14.

Lee CJ, Ahn H, Jeong D, Park M, Moon JH, Kim S*. "Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer". The 30th International Conference on Genome Informatics (GIW), Sydney, Australia, 2019 Dec 11.

Ahn H (Joint-First), Son S, Kim S*. "DeepFunNet: Deep learning for gene functional similarity network construction". The 6th IEEE International Conference on Big Data and Smart Computing (BigComp), Kyoto, Japan, 2019 Mar 2.

Kang D, Ahn H (Joint-First), Lee S, Lee CJ, Hur J, Jung W*, Kim S*. "Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data". The 2018 International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018 Dec 4.

Ahn H (First), Jung I, Chae H, Kang D, Jung W, Kim S*. "HTRgene: Integrating multiple heterogeneous time-series data to investigate cold and heat stress response signaling genes in Arabidopsis". The 2018 International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018 Dec 4.

Kang H, Ahn H (Joint-First), Jo K, Oh M, Kim S*. "mirTime: Identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering". The 29th International Conference on Genome Informatics (GIW), Yunnan, China, 2018 Dec 3.

Ahn H (First), Chae H, Jung W, Kim S*. "Integration of heterogeneous time series gene expression data by clustering on time dimension". The 4th IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju, Korea, 2017 Feb 14.

Jung I, Ahn H, Shin SJ, Kim JK, Kwon HB, Jung W, Kim S*. "Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice". The 27th International Conference on Genome Informatics (GIW), Shanghai, China, 2016 Oct 4.

Jung I, Jo K, Kang H, Ahn H, Yu Y, Kim S*. "TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes". The 27th International Conference on Genome Informatics (GIW), Shanghai, China, 2016 Oct 3.

Lee CJ, Ahn H, Lee SB, Shin JY, Park WY, Kim JI, Lee J, Ryu H*, Kim S*. "Integrated analysis of omics data using microRNA-target mRNA network and PPI network reveals regulation of Gnai1 function in the spinal cord of EWS KO mice". The 5th Translational Bioinformatics Conference (TBC), Tokyo, Japan, 2015 Nov 7.

* : Correspondence

Domestic Articles

이상민, 윤태영, 윤대관, 안홍렬*. "트랜스포머 모델의 전이학습을 이용한 중환자실 패혈증 환자의 생존 예측 모델", 한국정보과학회 학술발표논문집, Vol.2023, pp.1758-1760. 2023. 12. 20. [link]

정지란, 조하늘, 안홍렬*. "거대 이미지 세그멘테이션 모델의 도메인 미세조정 방법과 의료 분야에 적용", 한국정보과학회 학술발표논문집, Vol.2023, pp.892-894. 2023. 12. 20. [link]

김은수, 안홍렬*. "유전자 발현 데이터에서의 오토 인코더 사전 학습과 미세조정을 통한 유방암 분자적 아종 분류", 한국정보과학회 학술발표논문집, Vol.2023, pp.751-753. 2023. 12. 20. [link]

임지우, 김도훈, 안홍렬*. "맨해튼 거리와 체비쇼프 거리를 활용한 클러스터링 기반 자기 지도 학습을 통한 이미지 표현 학습의 향상", 한국정보과학회 학술발표논문집, Vol.2023, pp.1708-1710. 2023. 12. 20. [link]

배정수, 방승일, 함예린, 정재하, 최혜정, 안홍렬*. "전이학습을 통한 기계 소리 이상 탐지", 한국정보과학회 학술발표논문집, Vol.2023, pp.1737-1739. 2023. 12. 20. [link]

정인호, 박지훈, 정찬호, 안홍렬*. "산업 기계 소리에서 이상 탐지를 위한 다운 샘플링 방법 비교 및 맥스 풀링 방법 제안", 한국정보과학회 학술발표논문집, Vol.2023, pp.1859-1861. 2023. 6. 26. [link]

김승원, 조성민, 박지훈, 조미나*, 안홍렬*. "메타버스 활동 영상의 발화 텍스트 데이터에서의 통계 및 정보 검색 기반 키워드 분석", 한국정보과학회 학술발표논문집, Vol.2023, pp.1063-1065. 2023. 6. 26. [link]

김승원, 서채준, 김태현, 이태영, 박찬윤*, 안홍렬*. "국민건강영양조사 데이터에서의 통합 특성 중요도 분석 기법을 통한 혈중 비타민 D의 관련 인자 발굴", 한국정보과학회 학술발표논문집, Vol.2023, pp.947-949. 2023. 6. 26. [link]

송대석, 안홍렬*. "크기 및 비율 다형성 의료 이미지에서 병변 영역 세그멘테이션을 위한 이미지 데이터 정규화 및 증강 방법", 한국정보과학회 학술발표논문집, Vol.2022, pp.1622-1624. 2022. 12. 20. [link]

정인호, 김동현, 조성민, 안홍렬*. "의료영상 종류에 따른 병변 영역 분할 딥 러닝 모델 별 성능 비교", 한국정보과학회 학술발표논문집, Vol.2022, pp.1598-1600. 2022. 12. 20. [link]

김은수, 차은지, 임선우, 임소연, 안홍렬*. "분류 모델링과 클러스터링 결합 방법을 통한 주가 시계열 데이터에서의 상승 추세 패턴 검출 기법", 한국정보과학회 학술발표논문집, Vol.2022, pp.1558-1560. 2022. 12. 20. [link]

김승원, 서형준, 김진아, 조우진, 안홍렬*. "국민건강영양조사 데이터에서 대사증후군의 중요 변수 선택에 대한 머신러닝과 통계 분석의 비교", 한국정보과학회 학술발표논문집, Vol.2022, pp.702-704. 2022. 12. 20. [link]

정인호, 이하늘, 김민주, 안홍렬*. "통합 종목 주가 예측을 위한 시계열 스케일러 비교", 한국정보과학회 학술발표논문집, Vol.2022, pp.1961-1963. [link]

김수현, 이수현, 고가연, 안홍렬*. "중환자실 폐렴 환자에 대한 시뮬레이션 기반 시계열 사망 마커 탐지", 한국정보과학회 학술발표논문집, Vol.2022, pp.1952-1954. [link]

김승원, 전경훈, 안홍렬*. "농업인 손상 요인 탐지를 위한 트리 통합 특성 중요도", 한국정보과학회 학술발표논문집, Vol.2022, pp.882-884. [link]

김혁주, 방채영, 이동수, 안홍렬*. "딥러닝 모델에서 증강 데이터를 활용한 선행 학습", 한국정보과학회 학술발표논문집, Vol.2021, pp.1969-1971. [link]

김현태, 한채은, 김예지, 안홍렬*. "유전자 발현량 데이터에서의 부츠스트랩 가중치 앙상블 특성 선택 기법", 한국정보과학회 학술발표논문집, Vol.2021, pp.1945-1947. [link]

김승원, 김용하, 이슬희, 최지현, 안홍렬*. "유전자 발현 데이터의 비모수 리샘플링 스케일러 개발", 한국정보과학회 학술발표논문집, Vol.2021, pp.1912-1914. [link]

강동원, 안홍렬, 이상선, 정우석, 김선*. "시계열 유전자 발현 데이터의 스트레스 특이 반응 유전자 검출 및 스트레스 예측 알고리즘 개발", 한국정보과학회 2018 한국컴퓨터종합학술대회 논문집, Vol.2018, pp.1063-1065. [link]

손승현, 안홍렬, 김선*. "딥러닝을 통한 유전자 온톨로지 거리의 추론", 한국정보과학회 2017 한국소프트웨어종합학술대회 논문집, Vol.2017, pp.954-956. [link]

정인욱, 김장욱, 안홍렬, 김진현, 허지혜, 유재련, 김선*, 정우석*. "Analysis of differentially expressed genes of Korean ginseng grown under ambient heat", 한국작물학회 학술발표대회 논문집, Vol.2017, p.276. 2017 Oct.

강동원, 안홍렬, 정우석, 김선*. "이질적 시계열 유전자 발현 데이터의 통합 분석 문제의 정의 및 애기장대에서의 저온 스트레스 반응 유전자 검출 알고리즘 개발", 한국정보과학회 2015년 동계학술발표회 논문집, Vol.2015, No.12, pp.648-650. [link]

* : Correspondence

Supervision Awards

[우수상] 김은수, 정인호, 안홍렬 (수원AI팀), 제 1회 KRX 금융 빅데이터 활용 아이디어 경진대회, 한국거래소(KRX), , 2022.09.16. [link]

[장려상] 김승원, 조우진, 김진아, 서형준, 2022 연구데이터 분석활용 경진대회, 한국과학기술정보연구원(KISTI), 2022.12.1. [link]

[우수상] 김예지, 한채은, 강서연, 이선우, 2022 연구데이터 분석활용 경진대회, 한국과학기술정보연구원(KISTI), 2022.12.1. [link]

[장려상] 김은수, 차은지, 임선우, 임소연, 안홍렬, "분류 모델링과 클러스터링 결합 방법을 통한 주가 시계열 데이터에서의 상승 추세 패턴 검출 기법", KSC2022 학부생/주니어논문경진대회, 한국정보과학회, 2023.2.3. [link]

[장려상] 정인호, 김동현, 조성민, 안홍렬, "의료영상 종류에 따른 병변 영역 분할 딥 러닝 모델 별 성능 비교", KSC2022 학부생/주니어논문경진대회, 한국정보과학회, 2023.2.3. [link]