People
  • HOME
  • People
  • Faculty
Faculty
손경아Kyung-Ah Sohn

전공 : 소프트웨어학과

학위 : 박사

이메일 : kasohn@ajou.ac.kr

연구실 : 산학협력원 507호

연구실번호 : 2434

연구실관심분야 : Machine Learning/Data Mining/Biomedical Informatics

홈페이지 : https://sites.google.com/site/kasohn/

Education
  • 2011.12 Carnegie Mellon Univ 박사
  • 2003.02 서울대학교 석사
  • 2000.02 서울대학교 학사
Working experience
  • * 2019.03 ~ 2020.02 Visiting Scholar, Machine Learning Department, Carnegie Mellon University, USA
  • * 2012.03 - 2013.02 Research Assistant Professor, College of Medicine/Systems Biomedical Informatics Research Center, Seoul National University
  • * 2012.01 - 2012.02 Post-Doctoral Fellow, Machine Learning Department, Carnegie Mellon University, USA
  • * 2003.02 - 2005.05 Full-time researcher, Human-Computer-Interaction Lab/Computing Lab, Samsung Advanced Institute of Technology
Research activity (Selected papers)
  • [1] Jaesik Kim, Dokyoon Kim*, Kyung-Ah Sohn*. HiG2Vec: Hierarchical Representations of Gene Ontology and Genes in the Poincaré Ball. Bioinformatics, 37(18), 2021
  • [2] So Yeon Kim, Eun Kyung Choe, Manu Shivakumar, Dokyoon Kim*, Kyung-Ah Sohn*. Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer. Bioinformatics, 37(16), 2021
  • [3] Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn. Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020
  • [4] Hee-jin Kim, Kyung-Ah Sohn. How Positive Are You: Text Style Transfer using Adaptive Style Embedding. The 28th International Conference on Computational Linguistics (COLING), Dec 2020
  • [5] Garam Lee, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn*, Dokyoon Kim*, for Alzheimer's Disease Neuroimaging Initiative. Predicting Alzheimer’s disease progression using multi-modal deep learning approach. Scientific Reports (2019) 9:1952
  • [6] Jungryul Seo, Teemu H. Laine, Kyung-Ah Sohn. Machine learning approaches for boredom classification using EEG. Journal of Ambient Intelligence and Humanized Computing, 2019
  • [7] Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn. Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network. The 15th European Conference on Computer Vision (ECCV), September 2018, Munich, Germany
  • [8] Byungkon Kang, Kyung-Ah Sohn. Embedding Senses via Dictionary Bootstrapping. The 33rd Conference on Uncertainty in Artificial Intelligence (UAI), August 11-15, 2017, Sydney, Australia
  • [9] Joshua W.K.Ho et. al., Comparative analysis of metazoan chromatin organization, NATURE, Vol.512, No.7515, pp.449 -452 (Aug 2014)
  • [10] Kyung-Ah Sohn and Seyoung Kim. Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization. The 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012, La Palma, Canary Islands
  • [11] Kyung-Ah Sohn and Eric P. Xing, A Hierarchical Dirichlet Process Mixture Model For Haplotype Reconstruction From Multi-Population Data, Annals of Applied Statistics 3(2):791–821, June 2009.
  • [12] Kyung-Ah Sohn and Eric P. Xing, Spectrum: Joint Bayesian Inference of Population Structure and Recombination Events, Bioinformatics 23(13) (Proceedings of the 15th International Conference on Intelligent Systems for Molecular Biology (ISMB)), July 15, 2007
  • [13] Kyung-Ah Sohn and Eric P. Xing, A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space, Advances in Neural Information Processing Systems 19 (NIPS), December 4–7, 2006, Vancouver, B.C., Canada
  • [14] Eric P. Xing, Kyung-Ah Sohn, Michael.I. Jordan and Yee. W. Teh, Bayesian Multi-Population Haplotype Inference via a Hierarchical Dirichlet Process Mixture, Proceedings of the 23rd International Conference on Machine Learning (ICML), June 25–29, 2006, Pittsburgh, USA
국제학술논문지
  • [논문] 왕세희, 우유리, 손경아, 김혜성, Epidemiology, Comorbidities, and Prescription Patterns of Korean Prurigo Nodularis Patients: A Multi-Institution Study , JOURNAL OF CLINICAL MEDICINE , pp.1 -12 (Dec, 2021)
  • [논문] 김재식, 손경아, Eui Kyu Chie, Hyun-Cheol Kang, Jung-Hak Kwak, Kyu Joo Park, Min Jung Kim, Sang-Hyuk Jung, Seung-Bum Ryoo, Seung-Yong Jeong, Dokyoon Kim, 박지원, A Novel Scoring System for Response of Preoperative Chemoradiotherapy in Locally Advanced Rectal Cancer Using Early-Treatment Blood Features Derived From Machine Learning , FRONTIERS IN ONCOLOGY , pp.1 -11 (Nov, 2021)
  • [논문] 김재식, 손경아, Dokyoon Kim, HiG2Vec: Hierarchical Representations of Gene Ontology and Genes in the Poincaré Ball , BIOINFORMATICS , pp.1 -10 (Mar, 2021)
  • [논문] 김소연, Eun Kyung Choe, Manu Shivakumar, 손경아, Dokyoon Kim, Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer , BIOINFORMATICS , pp.1 -8 (Feb, 2021)
  • [논문] UDDIN MD AZHER, JOOLEKHA BIBI JOOLEE, 손경아, Dynamic Facial Expression Understanding Using Deep Spatiotemporal LDSP On Spark , IEEE ACCESS , pp.16866 -16877 (Jan, 2021)
  • [논문] 서정렬, Teemu H. Laine, 오규환, 손경아, EEG-based emotion classification for Alzheimer’s disease patients using conventional machine learning and recurrent neural network models , SENSORS , pp.1 -26 (Dec, 2020)
  • [논문] MA XIAOHAN, 손경아, Rize Jin, 백준영, 정태선, An Adaptive Control Algorithm for Stable Training of Generative Adversarial Networks , IEEE ACCESS , Vol.7 , pp.184103 -184114 (Dec, 2019)
  • [논문] 서정렬, Teemu H. Laine, 손경아, An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.. , SENSORS , pp.1 -20 (Oct, 2019)
  • [논문] Ji-Yong Sung, 손경아, Hyun-Tae Shin, Soo-Yong Shin, WoongYang Park, Je-Gun Joung, Assessment of intratumoral heterogeneity with mutations and gene expression profiles , PLoS ONE , pp.1 -15 (Jul, 2019)
  • [논문] 김태림, 정현환, 손경아, Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference , BMC MEDICAL GENOMICS , pp.1 -14 (Jul, 2019)
  • [논문] 왕세희, 정현환, 손경아, ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction , BMC MEDICAL GENOMICS , pp.1 -12 (Jul, 2019)
  • [논문] 이가람, 강병곤, Kwangsik Nho, 손경아, Dokyoon Kim, MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework , FRONTIERS IN GENETICS , pp.1 -7 (Jun, 2019)
  • [논문] 김소연, 김재식, 문정현, 정현환, 손경아, Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies , BIOLOGY DIRECT , pp.1 -13 (Apr, 2019)
  • [논문] 이가람, 노광식, 강병곤, Alzheimer's Disease Neuroimaging Initiative, 손경아, 김도균, Predicting Alzheimer’s disease progression using multi-modal deep learning approach , SCIENTIFIC REPORTS , pp.1 -12 (Feb, 2019)
  • [논문] 서정렬, Teemu H. Laine, 손경아, Machine learning approaches for boredom classification using EEG.. , JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , pp.1 -16 (Jan, 2019)
  • [논문] 김소연, 김태림, 정현환, 손경아, Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer , BMC MEDICAL GENOMICS , Vol.68 , pp.33 -43 (Sep, 2018)
  • [논문] AYCHEH HABTAMU MINASSIE, 성준경, 강병곤, Duk L. Na, Jeong-Hyeon Shin, 손경아, 서상원, Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study , Frontiers in Aging Neuroscience , Vol.252 , pp.1 -14 (Aug, 2018)
  • [논문] Yenewondim Sinshaw, 김민성, 손경아, Multi-resolution Lossless Image Compression for Progressive Transmission and Multiple Decoding Using an Enhanced Edge Adaptive Hierarchical Interpolation , KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS , Vol.11 , No.12 (Dec, 2017)
  • [논문] ARUL RAYAN NAVINO NIRMAL, 정태선, 손경아, A graph model based feature set selection from short texts with application to document novelty detection , INTELLIGENT DATA ANALYSIS , Vol.21 , No.5 , pp.1117 -1139 (Oct, 2017)
  • [논문] Manu Shivakumar, Lisa Bang, Tullika Garg, Younghee Lee, 손경아, 김도균, Identification of epigenetic interactions between miRNA and DNA methylation associated with gene expression as potential prognostic markers in bladder cancer , BMC MEDICAL GENOMICS , Vol.10 , No.1 , pp.65 -75 (May, 2017)
  • [논문] 이가람, 김소연, Lisa Bang, 손경아, 김도균, Identifying subtype-specific association between gene expression and DNA methylation profiles in breast cancer , BMC MEDICAL GENOMICS , Vol.10 , No.1 , pp.53 -63 (May, 2017)
  • [논문] 왕세희, 박해심, 위규범, 김도균, 정현환, 김승현, 손경아, Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population , BMC MEDICAL GENOMICS , Vol.10 , pp.33 -44 (May, 2017)
  • [논문] Yenewondim Sinshaw, 손경아, Speed-up Feature Detector using Adaptive Accelerated Segment Test , IETE TECHNICAL REVIEW , pp.492 -504 (Oct, 2016)
  • [논문] 조승우, 차문수, 손경아, Topic category analysis on twitter via cross-media strategy , MULTIMEDIA TOOLS AND APPLICATIONS , pp.12879 -12899 (Oct, 2016)
  • [논문] VANGIMALLA REDDY RANI, 정현환, 손경아, Integrative Regression Network for Genomic Association Study , BMC MEDICAL GENOMICS , pp.27 -39 (Aug, 2016)
  • [논문] TEFRIE KALEAB GETANEH, 손경아, Automated Disease Outbreak Detection and Analysis , LECTURE NOTES IN ELECTRICAL ENGINEERING , pp.985 -993 (Feb, 2016)
  • [논문] 차문수, 김소연, 이민준, 최영준, 하재희, 손경아, Topic Model based Approach for Improved Indexing in Content based Document Retrieval , INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIUTED COMPUTING , Vol.4 , No.1 , pp.55 -64 (Jan, 2016)
  • [논문] 김소연, 손경아, Graph-Based Spam Image Detection for Mobile Phone Spam Image Filtering , INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION , Vol.3 , No.4 , pp.72 -86 (Oct, 2015)
  • [논문] 손경아, 위규범, A comment on two-locus epistatic interaction models for genome-wide association studies , JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY , Vol.13 , No.6 , pp.1571004-1 -1571004-15 (Aug, 2015)
  • [논문] 정현환, 위규범, 임상섭, 손경아, Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer , JOURNAL OF OVARIAN RESEARCH , Vol.8 , No.42 , pp.1 -15 (Jul, 2015)
  • [논문] 손경아, Joshua W. K. Ho, 정현환, Djordje Djordjevic, Peter J. Park, 김주한, hiHMM: Bayesian non-parametric joint inference of chromatin state maps , BIOINFORMATICS , Vol.31 , No.13 , pp.2066 -2074 (Jul, 2015)
  • [논문] 나영지, 손경아, 김주한, Interpretation of personal genome sequencing data in terms of disease ranks based on mutual information , BMC MEDICAL GENOMICS , Vol.8 , pp.1 -10 (May, 2015)
  • [논문] VANGIMALLA REDDY RANI, 손경아, Discovering genomic associations on cancer datasets by applying sparse regression methods , LECTURE NOTES IN ELECTRICAL ENGINEERING , Vol.339 , pp.713 -720 (Feb, 2015)
  • [논문] 김소연, Yenewondim Biadgie, 손경아, Investigating the Effectiveness of E-mail Spam Image Data for Phone Spam Image Detection Using Scale Invariant Feature Transform Image Descriptor , LECTURE NOTES IN ELECTRICAL ENGINEERING , Vol.339 , pp.591 -598 (Feb, 2015)
  • [논문] 정현환, 김소연, 위규범, 손경아, Investigating the Utility of Clinical Outcome-guided Mutual Information Network in Network-based Cox Regression , BMC SYSTEMS BIOLOGY , Vol.9 , pp.1 -12 (Jan, 2015)
  • [논문] Joshua W.K.Ho, 손경아, Peter J. Park, Comparative analysis of metazoan chromatin organization , NATURE , Vol.512 , No.7515 , pp.449 -452 (Aug, 2014)
  • [논문] 김도균, 손경아, 신현정, Marylin D. Richie, 박유랑, 정제근, 김주한, Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction , JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION , pp.1 -10 (Jul, 2014)
  • [논문] 김도균, 손경아, 신현정, Anurag Verma, Marylyn D. Ritchie, 김주한, Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction , METHODS , Vol.67 , No.3 , pp.344 -353 (Jun, 2014)
  • [논문] 임상섭, 위규범, 이중섭, 정현환, 손경아, Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure , COMPUTATIONAL BIOLOGY AND CHEMISTRY , Vol.50 , pp.19 -28 (Jun, 2014)
  • [논문] 손경아, 김도균, 임재현, 김주한, Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors , BMC SYSTEMS BIOLOGY , Vol.7(suppl 6) , pp.1 -11 (Dec, 2013)
  • [논문] 이수연, 손경아, 김주한, MicroRNA-centric measurement improves functional enrichment analysis of co-expressed and differentially expressed microRNA clusters , BMC GENOMICS , Vol.13 , pp.1 -13 (Dec, 2012)
  • [논문] 손경아, Zoubin Ghahramani, Eric P. Xing, Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach , GENETICS , Vol.191 , No.4 , pp.1295 -1308 (Aug, 2012)
  • [논문] 손경아, Eric P. Xing, Seyoung Kim, A multivariate regression approach to association analysis of a quantitative trait network , BIOINFORMATICS , Vol.25 , No.12 , pp.204 -212 (Jun, 2009)
  • [논문] 손경아, Eric P. Xing, A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-population data , ANNALS OF APPLIED STATISTICS , Vol.3 , No.2 , pp.791 -821 (Jun, 2009)
  • [논문] 이원숙, 손경아, View influence analysis and optimization for multiview face recognition , EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING , Vol.2007 , No.2 , pp.1 -8 (Aug, 2007)
  • [논문] 손경아, Eric P. Xing, Spectrum: joint Bayesian inference of population structure and recombination events , BIOINFORMATICS , Vol.23 , No.13 , pp.479 -489 (Jul, 2007)
  • [논문] Eric P. Xing, 손경아, Hidden Markov Dirichelt Process: Modeling Genetic inference in open ancestral space , BAYESIAN ANALYSIS , Vol.2 , No.3 , pp.501 -528 (Jan, 2007)
국제학술발표
  • (Selected)
  • [학술회의] 박준규, 손경아, 문정현, 안남혁, What is Wrong with One-Class Anomaly Detection? , International Conference on Learning Representations: Workshop on Security and Safety in Machine Learning Systems (May, 2021)
  • [학술회의] 나영윤, 손경아, 박준규, Is Your Chatbot Perplexing?: Confident Personalized Conversational Agent for Consistent Chit-Chat Dialogue , 13th International Conference on Agents and Artificial Intelligence (Feb, 2021)
  • [학술회의] 김희진, 손경아, How Positive Are You: Text Style Transfer using Adaptive Style Embedding , The 28th International Conference on Computational Linguistics (COLING) (Dec, 2020)
  • [학술회의] 김시진, 안남혁, 손경아, Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network , The 15th Asian Conference on Computer Vision (ACCV) (Nov, 2020)
  • [학술회의] 김재식, 손경아, Dokyoon Kim, 이가람, Informative Tumor Mutational Burden(iTMB): integrated multiple scores for missense mutations to predict immunotherapy outcome for non-small cell lung cancer. , American Society for Human Genetics 2020 (ASHG) (Oct, 2020)
  • [학술회의] 이가람, 손경아, Dokyoon Kim, Kwangsik Nho, Sang-Hyuk Jung, Estimating Alzheimers disease risk score based on SNPs from 3 genes for mild cognitive impairment conversion prediction , American Society for Human Genetics 2020 (ASHG) (Oct, 2020)
  • [학술회의] 안남혁, 유재준, 손경아, Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy , IEEE Conference on Computer Vision and Pattern Recognition (Jun, 2020)
  • [학술회의] 안남혁, 유재준, 손경아, SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution , IEEE Conference on Computer Vision and Pattern Recognition Workshops (Jun, 2020)
  • [학술회의] MA XIAOHAN, Jin Sun, 정태선, 손경아, Zin Rize, 백준영, Gated Convolutional Neural Networks for Text Classification , CSA 2019 (Dec, 2019)
  • [학술회의] 신정호, 손경아, Dokyoon Kim, Visualization of the gene expression-based convolutional neural network for survival analysis: an application in bladder cancer , Joint 30th International Conference on Genome Informatics (GIW) & Australian Bioinformatics and Computational Biology Scienty (ABACBS) Annual Meeting (Dec, 2019)
  • [학술회의] 김소연, 손경아, Dokyoon Kim, Manu Shivakumar, 최은경, An integrative pathway activity inference method on multi-omics data using directed random walks for clinical outcome prediction in urologic cancers , American Society of Human Genetic (ASHG) 2019 Annual Meeting (Oct, 2019)
  • [학술회의] MA XIAOHAN, 정태선, SUN JING, 손경아, Rize Zin, 백준영, Improving Generative Adversarial Networks with Adaptive Control Learning , IEEE International Conference on Visual Communications and Image Processing (IEEE VCIP) (Dec, 2018)
  • [학술회의] 안남혁, 손경아, 강병곤, Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network , The 15th European Conference on Computer Vision (Sep, 2018)
  • [학술회의] 안남혁, 손경아, 강병곤, Image Super-resolution via Progressive Cascading Residual Network , IEEE Conference on Computer Vision and Pattern Recognition Workshops (NTIRE 2018) (Jun, 2018)
  • [학술회의] 임종화, 손경아, Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets , The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) (Nov, 2017)
  • [학술회의] 신승원, 손경아, 강병곤, 박호민, 김동규, Finding Compact Class Sets for Korean Font Image Classification , The 4th Asian Conference on Pattern Recognition (Nov, 2017)
  • [학술회의] 안남혁, 손경아, 강병곤, Image Distortion Detection using Convolutional Neural Network , The 4th Asian Conference on Pattern Recognition (Nov, 2017)
  • [학술회의] 김소연, 손경아, Multi-view network-based social-tagged landmark image clustering , IEEE International Conference on Image Processing (Sep, 2017)
  • [학술회의] 강병곤, 손경아, Embedding Senses via Dictionary Bootstrapping, Conference on Uncertainty in Artificial Intelligence (Aug 2017)
  • [학술회의] 손경아, 이가람, 정현환, Integrative analysis for outcome-guided gene networks from multiple omics profiles, The 23rd Annual International Conference on Intelligent Systems for Molecular Biology and the 14th European Conference on Computational Biology (ISMB/ECCB), Jul 2015
  • [학술회의] 손경아, Seyoung Kim, Joint estimation of structured sparsity and output structure in multiple-output regression via inverse-covariance regularization 저널, International Conference on Artificial Intelligence and Statistics (AISTATS) Vol.22, Apr 2012
Patent and others
  • [특허] 손경아, 문정현, 박준규, 안남혁, 이상 탐지 장치 및 방법 (등록) (10-2363737) (Feb, 2022)
  • [특허] 손경아, 유준형, 전자 장치 및 이의 이상 상황 탐지 방법 (등록) (10-2285745) (Jul, 2021)
  • [특허] 손경아, 왕세희, 피쳐 선택장치, 그 방법 및 그 프로그램이 기록된 기록매체 (등록) (10-2260881) (May, 2021)
  • [특허] 손경아, 나영윤, 박준규, 자동 응답 생성 방법 및 장치 (출원) (10-2021-0011429) (Jan, 2021)
  • [특허] 손경아, 강병곤, 김하영, 대용량 네트워크를 압축하기 위한 방법 및 장치 (등록) (10-2199484) (Dec, 2020)
  • [특허] 손경아, 강병곤, 안남혁, 저 해상도 이미지 보정을 위한 잔차 네트워크 시스템 (등록) (10-2192392) (Dec, 2020)
  • [특허] 손경아, 김시진, 안남혁, 이미지 복원 방법 및 장치 (출원) (10-2020-0137042) (Oct, 2020)
  • [특허] 손경아, 김희진, 텍스트 스타일 변환 방법 및 시스템, 및 이의 구현을 위한 학습 방법 (출원) (10-2020-0126671) (Sep, 2020)
  • [특허] 손경아, 강병곤, 안남혁, 이미지 왜곡 검출을 이용한 이미지 복원 장치 및 방법 (등록) (10-1922964) (Nov, 2018)
  • [특허] 손경아, 강병곤, 안남혁, 저 해상도 이미지 보정을 위한 잔차 네트워크 시스템 (출원) (PCT/KR2018/014209) (Nov, 2018)
  • [특허] 손경아, 강병곤, 김하영, 대용량 네트워크를 압축하기 위한 방법 및 장치 (출원) (PCT/KR2018/014105) (Nov, 2018)
  • [특허] 손경아, VANGIMALLA REDDY RANI, 정현환, 통합 회귀 분석 네트워크 구축 방법 및 이에 의한 통합 분석 시스템 (등록) (10-1806628) (Dec, 2017)
  • [특허] 손경아, 조승우, 토픽 표현 추출 방법 및 그 시스템 (등록) (10-1758555) (Jul, 2017)
  • [특허] 손경아, 조승우, 차문수, 크로스 미디어 분석에 기반한 소셜 미디어 텍스트의 주제 카테고리 자동 분류 방법 및 그 장치 (등록) (10-1737887) (May, 2017)
  • [특허] 손경아, 안원혁, 이재연, 플레이어 매칭 기법에 기반하는 문제 추천 방법 및 그 시스템 (등록) (10-1723770) (Mar, 2017)
  • [특허] 손경아, ARUL RAYAN NAVINO NIRMAL, 정태선, 그래프 모델에 기반하는 문서 분석 방법 및 그 시스템 (등록) (10-1697875) (Jan, 2017)

  • 권순선
    Soon-Sun Kwon

    전공 : 수학과(통계전공)

    학위 : 박사

    이메일 : qrio1010@ajou.ac.kr

  • 김상훈
    Sang-Hoon Kim

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : sanghoonkim@ajou.ac.kr

  • 김소연
    So Yeon Kim

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : jebi1771@gmail.com

  • 박정훈
    Junghoon Park

    전공 : 인공지능융합학과

    학위 : 박사

    이메일 : stevejobs@ajou.ac.kr / skyzami@gmail.com

  • 손경아
    Kyung-Ah Sohn

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : kasohn@ajou.ac.kr

  • 신현정
    Hyunjung Shin

    전공 : 산업공학전공(과)

    학위 : 박사

    이메일 : shin@ajou.ac.kr

  • 안정섭
    Jeongseob Ahn

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : jsahn@ajou.ac.kr

  • 오상윤
    Sangyoon Oh

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : syoh@ajou.ac.kr

  • 유리
    Ri Yu

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : riyu@ajou.ac.kr

  • 유종빈
    Jongbin ryu

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : jongbinryu@ajou.ac.kr

  • 윤대균
    Daekyun Yoon

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : dkyoon@ajou.ac.kr

  • 이석원
    Seokwon Lee

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : leesw@ajou.ac.kr

  • 이슬
    Sael Lee

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : sael@ajou.ac.kr

  • 정태선
    Tae-Sun Chung

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : tschung@ajou.ac.kr

  • 조다정
    Da-Jung Cho

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : dajungcho@ajou.ac.kr

  • 조현석
    Hyunsouk Cho

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : hyunsouk@ajou.ac.kr

  • 최영준
    Young-June Choi

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : choiyj@ajou.ac.kr

  • 허용석
    Yong Seok Heo

    전공 : 전자공학전공(과)

    학위 : 박사

    이메일 : ysheo@ajou.ac.kr

  • 황원준
    Wonjun Hwang

    전공 : 소프트웨어학과

    학위 : 박사

    이메일 : wjhwang@ajou.ac.kr