Nguyen Quoc Khanh Le

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Emailkhanhleetmu.edutw

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Research activity per year

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., Information Technology, Da Lat University, Vietnam

Experience

2023.02- Associate Professor, International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University
2023.02- Associate Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University
2020.06-2023.01 Assistant Professor, International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University
2019.08-2023.01 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

Awards

TMU Research Paper Excellence Award 2023 (Taipei Medical University)
TMU Young Scholar Research Award 2023 (Taipei Medical University)
Outstanding Curriculum Award for Open Education 2023 (Taiwan Open Curriculum and Education Consortium - TOCEC)
Creative Award (2023 H.Spectrum+)
Best Oral Presenter Award (20th Asia Pacific Bioinformatics Conference-APBC2022)
TMU Excellent Research Paper Award (Taipei Medical University)
Future Tech Awards (Taiwan FUTEX 2021)

Research Interests

Artificial Intelligence (Machine Learning & Deep Learning)
Bioinformatics & Computational Biology
Genomics, Proteomics, Radiomics
Medical informatics

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6 Similar Profiles

2 Active
8 Finished

運用圖變換器和深度表示學習預測基於序列的蛋白質功能(3/3)
Le, N. Q. K. (PI)
8/1/24 → 7/31/25
Project: A - Government Institution › b - National Science and Technology Council
Sequence-Based Protein Function Prediction Using Graph Transformers and Deep Representative Learning
Le, N. Q. K. (PI)
8/1/22 → 7/31/25
Project: A - Government Institution › b - National Science and Technology Council
運用圖變換器和深度表示學習預測基於序列的蛋白質功能(2/3)
Le, N. Q. K. (PI)
8/1/23 → 7/31/24
Project: A - Government Institution › b - National Science and Technology Council
非小細胞肺癌的可解釋基因分型：基於CT放射組學之可解釋人工智慧
Le, N. Q. K. (PI)
1/1/23 → 12/31/23
Project: B - Project of TMU › h - Higher Education Sprout Project
Deepnlp-Dna: a Pre-Trained Nlp Model for Dna Sequence Representation Using Deep Transformers and 2d Convolutional Neural Networks
Le, N. Q. K. (PI)
8/1/22 → 7/31/23
Project: A - Government Institution › b - National Science and Technology Council

116 Article
11 Conference contribution
5 Review article
4 Comment/debate
More
- 3 Chapter
- 2 Editorial

A Deep Learning and PSSM Profile Approach for Accurate SNARE Protein Prediction
Kha, Q. H., Nguyen, H. P. L. & Le, N. Q. K., 2025, In: Methods in molecular biology (Clifton, N.J.). 2887, p. 79-89 11 p.
Research output: Contribution to journal › Article › peer-review
An in-depth review of AI-powered advancements in cancer drug discovery
Le, M. H. N., Nguyen, P. K., Nguyen, T. P. T., Nguyen, H. Q., Tam, D. N. H., Huynh, H. H., Huynh, P. K. & Le, N. Q. K., Mar 2025, In: Biochimica et Biophysica Acta - Molecular Basis of Disease. 1871, 3, 167680.
Research output: Contribution to journal › Article › peer-review
Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique
Tran, T. X., Khanh Le, N. Q. & Nguyen, V. N., Mar 2025, In: Computers in Biology and Medicine. 186, 109664.
Research output: Contribution to journal › Article › peer-review
RNA-ModX: a multilabel prediction and interpretation framework for RNA modifications
Yuge, C. C., Hang, E. S., Mamtha, M. R. N., Vishwakarma, S., Wang, S., Wang, C. & Le, N. Q. K., Jan 1 2025, In: Briefings in Bioinformatics. 26, 1, bbae688.
Research output: Contribution to journal › Article › peer-review

Open Access
Transforming peptide hormone prediction: The role of AI in modern proteomics
Le, N. Q. K., Feb 2025, In: Proteomics. 25, 3, 2400156.
Research output: Contribution to journal › Comment/debate › peer-review

Open Access

Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Phan, D.-V. (Contributor), Le, N.-Q.-K. (Contributor), Ou, Y.-Y. (Contributor), Ho, Q.-T. (Contributor) & Nguyen, T.-T.-D. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126665.v1, https://doi.org/10.6084%2Fm9.figshare.13126665.v1
Dataset
Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ho, Q.-T. (Contributor), Nguyen, T.-T.-D. (Contributor), Le, N.-Q.-K. (Contributor), Ou, Y.-Y. (Contributor) & Phan, D.-V. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126674.v1, https://doi.org/10.6084%2Fm9.figshare.13126674.v1
Dataset
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T.-T.-D. (Contributor), Le, N.-Q.-K. (Contributor), Ho, Q.-T. (Contributor), Phan, D.-V. (Contributor) & Ou, Y.-Y. (Contributor), Figshare, 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 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ou, Y.-Y. (Contributor), Ho, Q.-T. (Contributor), Nguyen, T.-T.-D. (Contributor), Le, N.-Q.-K. (Contributor) & Phan, D.-V. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126662.v1, https://doi.org/10.6084%2Fm9.figshare.13126662.v1
Dataset
Additional file 4 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Ho, Q.-T. (Contributor), Phan, D.-V. (Contributor), Ou, Y.-Y. (Contributor), Nguyen, T.-T.-D. (Contributor) & Le, N.-Q.-K. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.13126671.v1, https://doi.org/10.6084%2Fm9.figshare.13126671.v1
Dataset

Nguyen Quoc Khanh Le

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Collaborations and top research areas from the last five years

Dive into details

運用圖變換器和深度表示學習預測基於序列的蛋白質功能(3/3)

Sequence-Based Protein Function Prediction Using Graph Transformers and Deep Representative Learning

運用圖變換器和深度表示學習預測基於序列的蛋白質功能(2/3)

非小細胞肺癌的可解釋基因分型：基於CT放射組學之可解釋人工智慧

Deepnlp-Dna: a Pre-Trained Nlp Model for Dna Sequence Representation Using Deep Transformers and 2d Convolutional Neural Networks

A Deep Learning and PSSM Profile Approach for Accurate SNARE Protein Prediction

An in-depth review of AI-powered advancements in cancer drug discovery

Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique

RNA-ModX: a multilabel prediction and interpretation framework for RNA modifications

Transforming peptide hormone prediction: The role of AI in modern proteomics

Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Additional file 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Additional file 4 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Nguyen Quoc Khanh Le

Personal profile

Education

Experience

Awards

Research Interests

Related Link

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output

Datasets