Nguyen Quoc Khanh Le

https://orcid.org/0000-0003-4896-7926

Emailkhanhlee@tmu.edu.tw

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

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Personal profile

Education

2014-2018 Ph.D., Department of Computer Science and Engineering, Yuan Ze University
2012-2014 M.S., Department of Computer Science and Engineering, Yuan Ze University
2005-2010 B.Eng. in Information Technology, Da Lat University, Vietnam

Experience

2019.08- Assistant Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University
2018.08-2019.08 Postdoctoral Research Fellow, School of Humanities, Nanyang Technological University, Singapore
2010.07-2012.02 VNG Corporation, VietnamAssociate QC Engineer

Research Interests

Artificial Intelligence
Deep learning
Bioinformatics
Biomedical and healthcare informatics

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Network

Recent external collaboration on country level. Dive into details by clicking on the dots or

2 Finished

新聘教師研究補助
Le, N. Q. K.
1/1/20 → 12/31/20
Project: B - Project of TMU › g - Research Grants for Newly Hired Faculty
結合放射基因組學和自然語言處理提升肺癌復發的預測表現
Le, N. Q. K.
1/1/20 → 12/1/20
Project: B - Project of TMU › h - Higher Education Sprout Project

439 Citations
13 h-Index
39 Article
1 Chapter
1 Conference contribution
1 Review article

A computational framework based on ensemble deep neural networks for essential genes identification
Le, N. Q. K., Do, D. T., Hung, T. N. K., Lam, L. H. T., Huynh, T. T. & Nguyen, N. T. K., Dec 1 2020, In: International journal of molecular sciences. 21, 23, p. 1-16 16 p., 9070.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Citations (Scopus)
A New Self-Organizing Fuzzy Cerebellar Model Articulation Controller for Uncertain Nonlinear Systems Using Overlapped Gaussian Membership Functions
Huynh, T. T., Lin, C. M., Le, T. L., Cho, H. Y., Pham, T. T. T., Le, N. Q. K. & Chao, F., Nov 2020, In: IEEE Transactions on Industrial Electronics. 67, 11, p. 9671-9682 12 p., 8910581.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
Le, N. Q. K., Ho, Q. T., Yapp, E. K. Y., Ou, Y. Y. & Yeh, H. Y., Jan 29 2020, In: Neurocomputing. 375, p. 71-79 9 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites
Sua, J. N., Lim, S. Y., Yulius, M. H., Su, X., Yapp, E. K. Y., Le, N. Q. K., Yeh, H. Y. & Chua, M. C. H., Nov 15 2020, In: Chemometrics and Intelligent Laboratory Systems. 206, 104171.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Machine learning model for identifying antioxidant proteins using features calculated from primary sequences
Lam, L. H. T., Le, N. H., Van Tuan, L., Ban, H. T., Hung, T. N. K., Nguyen, N. T. K., Dang, L. H. & Le, N. Q. K., Oct 2020, In: Biology. 9, 10, p. 1-13 13 p., 325.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)

Additional file 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126662.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126662/1
Dataset
Additional file 3 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126668.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126668/1
Dataset
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.c.5182812.v1, https://springernature.figshare.com/collections/TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/5182812/1
Dataset
Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126665.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126665/1
Dataset
Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126674.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126674/1
Dataset