Cho, Young-Rae (조영래), Yonsei University

Young-Rae Cho

  Professor
  Department of Software
  Department of Digital Healthcare
  Yonsei University - Mirae Campus
  youngcho (at) yonsei (dot) ac (dot) kr

[Papers] [Talks] [Teaching] [Biography]

Research

Bioinformatics: Bio-Networks, Bio-Ontologies, Functional Genomics, Systems Biology, AI-Driven Drug Discovery, Drug Repositioning
Data Mining: Pattern Mining, Clustering, Classification, Deep Learning, Data Integration

Publications

Journal Articles (SCI-indexed)
Jong-Hoon Park and Young-Rae Cho. "Computational drug repositioning with attention walking". Scientific Reports, 14:10072, 2024. Hoyeon Jeong, Young-Rae Cho, Jungsoo Gim, Seung-Kuy Cha, Maengsup Kim, and Dae Ryong Kang. "GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure". PLOS ONE, 19(3):e0291223, 2024. Yoonbee Kim and Young-Rae Cho. "Predicting drug–gene–disease associations by tensor decomposition for network-based computational drug repositioning". Biomedicines, 11(7):1998, 2023. Yoonbee Kim, Yi-Sue Jung, Jong-Hoon Park, Seon-Jun Kim and Young-Rae Cho. "Drug-disease association prediction using heterogeneous networks for computational drug repositioning". Biomolecules, 12(10):1497, 2022. Yoonbee Kim, Jong-Hoon Park and Young-Rae Cho. "Network-based approaches for disease-gene association prediction using protein-protein interaction networks". International Journal of Molecular Sciences (IJMS), 23(13):7411, 2022. Yi-Sue Jung, Yoonbee Kim and Young-Rae Cho. "Comparative analysis of network-based approaches and machine learning algorithms for predicting drug-target interactions". Methods, 198:19-31, 2022. Hoyeon Jeong, Yoonbee Kim, Yi-Sue Jung, Dae Ryong Kang and Young-Rae Cho. "Entropy-based graph clustering of PPI networks for predicting overlapping functional modules of proteins". Entropy, 23(10):1271, 2021. Young-Rae Cho. "Evaluation of cross-ontology association rules weighted by term specificity". International Journal of Data Mining and Bioinformatics (IJDMB), 24(3):258-268, 2020. Karel Kalecky, Rebecca Modisette, Samantha Pena, Young-Rae Cho and Joseph Taube. "Integrative analysis of breast cancer profiles in TCGA by TNBC subgrouping reveals novel microRNA-specific clusters, including miR-17-92a, distinguishing basal-like 1 and basal-like 2 TNBC subtypes". BMC Cancer, 20:141, 2020. Sawal Maskey and Young-Rae Cho. "LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules". BMC Genomics, 20:964, 2019. Karel Kalecky and Young-Rae Cho. "PrimAlign: PageRank-inspired Markovian alignment for large biological networks". Bioinformatics, 34(13):i537-i546, 2018. Jan Sladek and Young-Rae Cho. "Evaluating the contributions of GO term properties to semantic similarity measurement". International Journal of Data Mining and Bioinformatics (IJDMB), 18(3):240-251, 2017. Yong Shui and Young-Rae Cho. "Alignment of PPI networks using semantic similarity for conserved protein complex prediction". IEEE Transactions on NanoBioscience (TNB), 15(4):380-389, 2016. Young-Rae Cho, Yanan Xin and Greg Speegle. "P-Finder: reconstruction of signaling networks from protein-protein interactions and GO annotations". IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 12(2):309-321, 2015. Slavka Jaromerska, Petr Praus and Young-Rae Cho. "Distance-wise pathway discovery from protein-protein interaction networks weighted by semantic similarity". Journal of Bioinformatics and Computational Biology, 12(1):1450004, 2014. True Price, Francisco I Pena and Young-Rae Cho. "Survey: enhancing protein complex prediction in PPI networks with GO similarity weighting". Interdisciplinary Sciences: Computational Life Sciences, 5(3):196-210, 2013. Young-Rae Cho, Marco Mina, Yanxin Lu, Nayoung Kwon and Pietro H Guzzi. "M-Finder: uncovering functionally associated proteins from interactome data integrated with GO annotations". Proteome Science, 11(Suppl 1):S3, 2013. George Montanez and Young-Rae Cho. "Predicting false positives of protein-protein interaction data by semantic similarity measures". Current Bioinformatics, 8(3):339-346, 2013. Tak C Chiam and Young-Rae Cho. "Accuracy improvement in protein complex prediction from protein interaction networks by refining cluster overlaps". Proteome Science, 10(Suppl 1):S3, 2012. Edward C Kenley and Young-Rae Cho. "Detecting protein complexes and functional modules from protein interaction networks: A graph entropy approach". Proteomics, 11(19):3835-3844, 2011. Young-Rae Cho and Aidong Zhang. "Mining protein interactome networks to measure interaction reliability and select hub proteins". International Journal of Knowledge Discovery in Bioinformatics, 1(3):20-35, 2010. Young-Rae Cho and Aidong Zhang. "Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins". BMC Bioinformatics, 11(Suppl 3):S3, 2010. Young-Rae Cho and Aidong Zhang. "Predicting function by frequent functional association pattern mining in protein interaction networks". IEEE Transactions on Information Technology in Biomedicine (TITB), 14(1):30-36, 2010. Lei Shi, Young-Rae Cho and Aidong Zhang. "Prediction of protein function from connectivity of protein interaction networks". International Journal of Computational Bioscience, 1(1):4-12, 2010. Young-Rae Cho, Aidong Zhang and Xian Xu. "Semantic similarity based feature extraction from microarray expression data". International Journal of Data Mining and Bioinformatics (IJDMB), 3(3):333-345, 2009. Young-Rae Cho, Lei Shi and Aidong Zhang. "Functional module detection by functional flow pattern minining in protein interaction networks". BMC Bioinformatics, 9(Suppl 10):O1, 2008. Young-Rae Cho, Lei Shi, Murali Ramanathan and Aidong Zhang. "A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge". BMC Bioinformatics, 9:392, 2008. Woochang Hwang, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. "CASCADE: a novel quasi all path-based network analysis algorithm for clustering biological interactions". BMC Bioinformatics, 9:64, 2008. Young-Rae Cho, Woochang Hwang, Murali Ramanathan and Aidong Zhang. "Semantic integration to identify overlapping functional modules in protein interaction networks". BMC Bioinformatics, 8:265, 2007. Woochang Hwang, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. "A novel functional module detection algorithm for protein-protein interaction networks". Algorithms for Molecular Biology, 1:24, 2006.
Journal Articles (KCI-indexed)
Yi-Sue Jung, Jong-Hoon Park and Young-Rae Cho. "Predicting drug classification codes by feature integration using multi-modal autoencoders". KIISE Transactions on Computing Practices, 29(10):474-481, 2023. Jung Su An and Young-Rae Cho. "Weighted sparse convolutional networks for semantic segmentation of 3-dimensional data". Journal of Korean Institute of Information Technology, 21(9):153-160, 2023. Yi-Sue Jung, Yoonbee Kim and Young-Rae Cho. "Predicting protein-protein interactions and drug-target interactions via protein similarity measurement based on word embeddings". KIISE Transactions on Computing Practices, 29(4):178-183, 2023. Jung Su An and Young-Rae Cho. "Performance comparison of 3D segmentation models based on point cloud and mesh for dental scan data". KIISE Transactions on Computing Practices, 29(4):158-165, 2023. Jong-Hoon Park and Young-Rae Cho. "Disease-gene association prediction using heterogeneous networks based on ontologies". Journal of Korean Institute of Information Technology, 21(2):145-153, 2023. Yeonjae Park, Young Pyo Jun, Hongrae Lee and Young-Rae Cho. "DARNN-based prediction model for COVID-19 diffusion for each administrative district in Seoul". KIISE Transactions on Computing Practices, 27(11):510-518, 2021.
Conference / Workshop Papers
Jung-Su An and Young-Rae Cho. "Performance comparison of domain adaptation and supervised learning in multi-domain MRI segmentation using deep learning models". Proceedings of 2023 Korea Software Congress (KSC 2023), 529-531, 2023. Jong-Hoon Park and Young-Rae Cho. "Drug similarity measurement based on ATC codes for drug repositioning". Proceedings of 2023 Korea Software Congress (KSC 2023), 484-486, 2023. Gwang-Hyeon Yun, Ki-Hoon Kwak, Sang-Pil Jo, and Young-Rae Cho. "Building area segmentation on satellite images using Swin-Unet". Proceedings of 2023 Korea Software Congress (KSC 2023), 455-457, 2023. Jae-Woo Chu, Jong-Hoon Park, and Young-Rae Cho. "Evaluation of drugs fingerprint and its combinations for drug repositioning". Proceedings of 2023 Korea Software Congress (KSC 2023), 452-454, 2023. Jung-Su An and Young-Rae Cho. "MeshNet: Deep multi-scale mesh feature learning model for automatic labeling of 3D tooth surfaces". Proceedings of 2022 Korea Computer Congress (KCC 2022), 735-737, 2022. Seon-Jun Kim and Young-Rae Cho. "Performance evaluation of deep-learning models with multiple layers of the equal weights". Proceedings of 2022 Korea Computer Congress (KCC 2022), 675-677, 2022. Yi-Sue Jung, Yoonbee Kim and Young-Rae Cho. "Protein–protein similarity measurement using word embedding". Proceedings of 2022 Korea Computer Congress (KCC 2022), 654-656, 2022. Jong-Hoon Park and Young-Rae Cho. "Disease-gene heterogeneous network construction via ontology". Proceedings of 2022 Korea Computer Congress (KCC 2022), 642-644, 2022. Lee-Soo Jung and Young-Rae Cho. "Survey of network-based approaches of drug-target interaction prediction". Proceedings of 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1793-1796, 2020. Sawal Maskey and Young-Rae Cho. "Survey of biological network alignment: cross-species analysis of conserved systems". Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2090-2096, 2019. Joseph Huang, Collin Rapp and Young-Rae Cho. "Mining cross-ontology weighted association rules between GO and HPO". Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1706-1711, 2017. Yong Shui and Young-Rae Cho. "Filtering association rules in Gene Ontology based on term specificity". Proceedings of 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1314-1321, 2016. Qiaoli Hu and Young-Rae Cho. "An integrative measure of graph- and vector-based semantic similarity using information content distance". Proceedings of 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 517-522, 2015. Lizhu Ma and Young-Rae Cho. "Semantic mapping to align PPI networks and predict conserved protein complexes". Proceedings of 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1608-1613, 2015. Yanan Xin and Young-Rae Cho. "Effective prediction of signaling pathways from protein-protein interaction networks using network motifs". Proceedings of ISCA International Conference on Bioinformatics and Computational Biology (BICoB), 2015. Young-Rae Cho and Slavka Jaromerska. "Prediction of signaling networks by information propagation on protein-protein interaction networks integrated with GO annotations". Proceedings of 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 127-132, 2013. Yilan Bai, Greg Speegle and Young-Rae Cho. "Signaling pathway prediction by path frequency in protein-protein interaction networks". Proceedings of 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2013. Greg Speegle, Yilan Bai and Young-Rae Cho. "Extending local similarity indexes with kNN for link prediction" Proceedings of International Conference on Data Mining (DMIN), 2013. Young-Rae Cho, Tak C Chiam and Yanxin Lu. "M-Finder: functional association mining from protein interaction networks weighted by semantic similarity". Proceedings of 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 95-100, 2012. Francisco I Pena and Young-Rae Cho. "Improvements of graph entropy approach to detect protein complexes by ontological analysis of PPIs". Proceedings of 2012 IEEE International Conference on Bioinformatics and Biomedicine - Workshops (BIBMW), 211-217, 2012. George D Montanez and Young-Rae Cho. "Assessing reliability of protein-protein interactions by Gene Ontology integration". Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2012), 21-27, 2012. Edward C Kenley and Young-Rae Cho. "Entropy-based graph clustering: application to biological and social networks". Proceedings of the Eleventh IEEE International Conference on Data Mining (ICDM 2011), 1116-1121, 2011. Nicholas Soltau and Young-Rae Cho. "Assessment of cluster overlaps to improve accuracy of module detection from PPI networks". Proceedings of 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 569-573, 2011. Edward C Kenley, Lyles Kirk and Young-Rae Cho. "Differentiating party and date hubs in protein interaction networks using semantic similarity measures". Proceedings of the Second ACM International Conference on Bioinformatics, Computational Biology and Biomedicine (BCB 2011), 641-645, 2011. Hao Lian, Chengsen Song and Young-Rae Cho. "Decomposing protein interactome networks by graph entropy". Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 585-589, 2010. Young-Rae Cho. "Topological analysis of structural roles of proteins in interactome networks". Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology (BCB 2010), 587-593, 2010. Lei Shi, Young-Rae Cho and Aidong Zhang. "Functional flow simulation based analysis of protein interaction network". Proceedings of 2010 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 144-149, 2010. Young-Rae Cho, Lei Shi and Aidong Zhang. "flowNet: Flow-based approach for efficient analysis of complex biological networks". Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009), 91-100, 2009. Pritam Chanda, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. "Mining of attribute interactions using information theoretic metrics". Proceedings of the Ninth IEEE International Conference on Data Mining - Workshops (ICDMW 2009), 350-355, 2009. Young-Rae Cho and Aidong Zhang. "Restructuring protein interaction networks to reveal structural hubs and functional organizations". Proceedings of 2009 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 105-110, 2009. Lei Shi, Young-Rae Cho and Aidong Zhang. "ANN based protein function prediction using integrated protein-protein interaction data". Proceedings of International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS 2009), 271-277, 2009. Young-Rae Cho and Aidong Zhang. "Discovering frequent patterns of functional associations in protein interaction networks for function prediction". Proceedings of 2008 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 59-65, 2008. Young-Rae Cho, Xian Xu, Woochang Hwang and Aidong Zhang. "Feature extraction from microarray expression data by integration of semantic knowledge". Proceedings of the Sixth IEEE International Conference on Machine Learning and Application (ICMLA 2007), 606-611, 2007. Young-Rae Cho, Woochang Hwang and Aidong Zhang. "Assessing reliability of protein-protein interactions by semantic data integration". Proceedings of the Seventh IEEE International Conference on Data Mining - Workshops (ICDMW 2007), 83-88, 2007. Young-Rae Cho, Woochang Hwang and Aidong Zhang. "Optimizing flow-based modularization by iterative centroid search in protein interaction networks". Proceedings of the Seventh IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2007), 342-349, 2007. Woochang Hwang, Taehyong Kim, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. "SIGN: reliable protein interaction identification by integrating the similarity in GO and the similarity in protein interaction networks". Proceedings of the Seventh IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2007), 1384-1388, 2007. Young-Rae Cho, Woochang Hwang and Aidong Zhang. "Modularization of protein interaction networks by incorporating Gene Ontology annotations". Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007), 233-238, 2007. Young-Rae Cho, Woochang Hwang and Aidong Zhang. "Identification of overlapping functional modules in protein interaction networks: information flow-based approach". Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (ICDMW 2006), 147-152, 2006. Young-Rae Cho, Woochang Hwang and Aidong Zhang. "Efficient modularization of weighted protein interaction networks using k-hop graph reduction". Proceedings of the Sixth IEEE Symposium on Bioinformatics and Bioengineering (BIBE 2006), 289-298, 2006. Woochang Hwang, Young-Rae Cho, Aidong Zhang and Murali Ramanathan. "Signal transduction model based functional module detection algorithm for protein-protein interaction networks". Proceedings of the Sixth SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2006), 3-12, 2006.
Book Chapters
Young-Rae Cho. "Filtering Protein-Protein Interactions by Integration of Ontology Data". In Mourad Elloumi and Albert Y Zomaya (eds.), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data, Wiley, 2013. Young-Rae Cho and Aidong Zhang. "Functional Influence Based Approach to Identify Overlapping Modules in Biological Networks". In Philip S Yu, Christos Faloutsos, and Jiawei Han (eds.), Link Mining: Models, Algorithms, and Applications, Springer, 2010. Young-Rae Cho and Aidong Zhang. "Integration of Gene Ontology into the Analysis of Protein Interaction Networks". In Aidong Zhang, Protein Interaction Networks: Computational Approaches, Cambridge University Press, 2009. Chuan Lin, Young-Rae Cho, Woochang Hwang, Pengjun Pei and Aidong Zhang. "Clustering Methods In Protein-Protein Interaction Network". In Xiaohua Hu and Yi Pan (eds.), Knowledge Discovery in Bioinformatics: Techniques, Methods and Application, Wiley, 2007.
Patents
Aidong Zhang, Murali Ramanathan, Woochang Hwang and Young-Rae Cho. "Bridging Centrality: a concept and formula to identify bridging nodes in scale-free networks". US 7,808,921. October 5, 2010. Young-Rae Cho, Wook-yeol Ryu and Sang-kyun Lee. ">Method for manufacturing semiconductor package containing cylindrical type Bump Grid Array". US 6,352,915. March 5, 2002. Sam-Il Kim and Young-Rae Cho. "Chip-size packages assembled using mass production techniques at the wafer-level". US 6,004,867. December 21, 1999.

Presentations

Invited Talks
Drug Repositioning and Drug Development Using Network-Based AI Models (Digital Healthcare Workshop at Yonsei University, Wonju, Korea, 2023) Network-Based Computational Approaches for Drug Repositioning (Digital Healthcare R&D Kick-off Seminar at Yonsei University, Wonju, Korea, 2023) Bioinformatics: Past, Present, and Future (Special Lecture at National Health Insurance Service, Wonju, Korea, 2020) Functional Pattern Mining from Genome-Scale Protein-Protein Interaction Networks (Colloquium Series on Department of Mathematics at University of North Texas, 2013) Systematic analysis of Interactome: a new trend in Bioinformatics (KOCSEA Technical Symposium at Vienna, 2010) Surfing on complex biological networks: the next generation of bioinformatics research (BEARS: Baylor Engineering and Research Seminar at Baylor University, 2009)
Conference / Workshop Talks
LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modules, APBioNet International Conference on Bioinformatics (InCoB 2019), Jarkarta, Indonesia, September 10-12, 2019. An integrative measure of graph- and vector-based semantic similarity using information content distance, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington DC, November 10-12, 2015. P-Finder: Reconstruction of signaling networks from protein-protein interactions and GO annotations, ISCA International Conference on Bioinformatics and Computational Biology (BICoB 2015), Honolulu, HI, March 9-11, 2015. Signaling pathway prediction approaches on protein-protein interaction networks, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, December 19-21, 2013. M-Finder: Functional association mining from protein interaction networks weighted by semantic similarity, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012), Philadelphia, PA, October 5-7, 2012. Entropy-based graph clustering: application to biological and social networks, IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14, 2011. Evaluating functional module detection from PPI networks, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), Atlanta, GA, November 12-15, 2011. Decomposing protein interactome networks by graph entropy, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2010), Hong Kong, China, December 18-21, 2010. flowNet: Flow-based approach for efficient analysis of complex biological networks, IEEE International Conference on Data Mining (ICDM 2009), Miami, FL, December 6-9, 2009. Restructuring protein interaction networks to reveal structural hubs and functional organizations, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2009), Washington DC, November 1-4, 2009. Discovering frequent patterns of functional associations in protein interaction networks for function prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2008), Philadelphia, PA, November 3-5, 2008. Feature extraction from microarray expression data by integration of semantic knowledge, IEEE International Conference on Machine Learning and Application (ICMLA 2007), Cincinnati, OH, December 13-15, 2007. Information flow-based modularization in protein interaction networks, IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2007), Boston, MA, October 14-17, 2007. Efficient modularization of weighted protein interaction networks using k-hop graph reduction, IEEE Symposium on Bioinformatics and Bioengineering (BIBE 2006), Washington DC, October 16-18, 2006.

Activities

Journal Editorial Board
Yonsei Medical Journal (YMJ) International Journal of Data Mining and Bioinformatics (IJDMB), Inderscience Publishers
Conference Chair / Program Committee
Workshop Chair in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024) Program Chair in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020) Workshop Chair in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019) Poster Chair in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013) PC in IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2024) PC in International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2018, 2019) PC in International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017) PC in IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2013) PC in IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012) PC in ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB 2010, 2011)
Workshop Organizer
1st International Workshop on Artificial Intelligence in Drug Discovery and Drug Repositioning (AI-DDDR), in conjunction with BIBM 2024 at Lisbon 14th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2021 online 13th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2020 at Seoul 12th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2019 at San Diego 11th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2018 at Madrid 10th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2017 at Kansas City 9th International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA), in conjunction with BIBM 2016 at Shenzhen 8th International Workshop on Biomolecular Interaction Network Analysis and Interactomics (IWBNA), in conjunction with BIBM 2015 at Washington DC 7th International Workshop on Biomolecular Network Analysis (IWBNA), in conjunction with BIBM 2013 at Shanghai 6th International Workshop on Biomolecular Network Analysis (IWBNA), in conjunction with BCB 2013 at Washington DC 5th International Workshop on Biomolecular Network Analysis (IWBNA), in conjunction with BIBM 2012 at Philadelphia 4th International Workshop on Biomolecular Network Analysis (IWBNA), in conjunction with BIBM 2011 at Atlanta 3rd International Workshop on Biomolecular Network Analysis (IWBNA), in conjunction with BCB 2011 at Chicago 2nd International Workshop on Graph Theoretic Analysis of Biological Networks (IWBNA), in conjunction with BIBM 2010 at Hong Kong 1st International Workshop on Graph Theoretic Approaches for Biological Network Analysis (IWBNA), in conjunction with BCB 2010 at Niagara Falls

Teaching

Data Mining
- At Baylor University
  1. Introduction to Data Mining: Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019
  2. Advanced Data Mining (Graduate-level): Spring 2019
- At Yonsei University
  1. Data Mining: 2020 2nd Term, 2021 2nd Term, 2022 2nd Term, 2023 2nd Term, 2024 2nd Term
Bioinformatics
- At Baylor University
  1. Introduction to Computational Biology: Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019
  2. Advanced Computational Biology (Graduate-level): Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Fall 2016, Fall 2017
  3. Genomics and Bioinformatics: Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015
  4. Bioinformatics Senior Capstone Project: Fall 2018, Fall 2019
- At Yonsei University
  1. Bio-Computing: 2021 2nd Term, 2022 2nd Term, 2023 1st Term, 2024 1st Term
  2. Bio-Data Mining (Graduate-level): 2020 2nd Term, 2021 1st Term, 2022 1st Term, 2023 2nd Term, 2024 1st Term
  3. AI-Driven Drug Discovery (Graduate-level): 2024 2nd Term
Digital Healthcare
- At Yonsei University
  1. Introduction to Digital Healthcare: 2023 2nd Term, 2024 2nd Term
  2. Digital Healthcare Capstone Project (RIS): 2024 1st Term
Programming & Methematics
- At Baylor University
  1. Java Programming: Spring 2016, Fall 2016, Spring 2017, Fall 2017
  2. Discrete Structures: Spring 2018
- At Yonsei University
  1. Computational Thinking: 2020 1st and 2nd Terms, 2021 1st Term, 2022 1st Term
  2. Object-Oriented Programming in C++: 2020 1st Term
  3. Computer Programming in C: 2021 1st Term

Biography

2020~present : Professor in Software Department at Yonsei University - Mirae Campus - Wonju, Korea
2009~2019 : Associate Professor in Computer Science Department at Baylor University - Waco, TX
2004~2009 : Ph.D. degree of Computer Science and Engineering at State University of New York - Buffalo, NY
2002~2003 : MCS (Master of Computer Science) degree at University of Illinois - Urbana-Champaign, IL
2000~2002 : BA degree of Computer and Information Science at Ohio State University - Columbus, OH
1997~2000 : Senior Researcher in Lead-Frame Team at Samsung Aerospace - Yongin, Korea
1994~1997 : Research Engineer in Package Development Team at Samsung Electronics - Yongin, Korea
1990~1991 : Korean Army in Transportation Battalion at Korean National Defense - Seoul, Korea
1988~1989 / 1992~1993 : BS degree of Metallic Material Science and Engineering at Yonsei University - Seoul, Korea

Last Updated 7/12/2024