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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Dive into the research topics where Nguyen Quoc Khanh Le is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Active
10 Finished

Foundation Models in Action: Transforming Protein-Ligand Interaction Predictions for Drug Design
Le, N. Q. K. (PI)
8/1/25 → 7/31/26
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)
8/1/24 → 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)
8/1/23 → 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

131 Article
15 Conference contribution
9 Review article
7 Comment/debate
More

A unified graph-based approach for protein function prediction using AlphaFold structures and sequence features
Nguyen, T. T., Zheng, W., Nguyen, V. N., Le, N. Q. K. & Chua, M. C. H., Feb 2026, In: Computational Biology and Chemistry. 120, 108609.
Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus)
Bioinformatics Analysis of Transcriptomic Data (Bulk and scRNA-Seq) for Immuno-Oncology
Nguyen, M. H. & Le, N. Q. K., 2026, Methods in Molecular Biology. Humana Press Inc., p. 291-303 13 p. (Methods in Molecular Biology; vol. 2959).
Research output: Chapter in Book/Report/Conference proceeding › Chapter

Open Access
1 Link opens in a new tab Citation (Scopus)
DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Le, M. H. N., Huynh, U. K. M., Ong, H. X., Huynh, P. K., Dinh, M. T., Huynh, H. H., Kha, H. Q., Nguyen, P. K., Huynh, X. L., Vo, A. T., Nguyen, T. M., Nguyen, T. H., Nguyen, Q. & Le, N. Q. K., 2026, Emerging LLM/LMM Applications in Medical Imaging - 1st International Workshop, ELAMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Nguyen, H. V., Awasthi, A., Patel, V. M., Le, N., Zhou, Y., Liu, S. & Zhou, S. K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 98-106 9 p. (Lecture Notes in Computer Science; vol. 16146 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Deep Learning-Based Dental Caries Diagnosis: A Modality-Stratified Systematic Review and Meta-Analysis of Faster R-CNN and Mask R-CNN
Lam, Q. T., Le, M. H., Fan, F.-Y., Le, N. Q. & Lee, I.-T., 2026, In: Diagnostics. 16, 5, p. 731
Research output: Contribution to journal › Review article › peer-review
Hepatic Tumor Segmentation Under Modified Scalable and Transferable nnU-Net Framework
Bui-Tran, Q. K., Dinh, M. T., Vu, N. L. V., Nguyen, Q., Dinh, Q. V., Le, M. H. N. & Le, N. Q. K., 2026, The 14th Conference on Information Technology and its Applications - Proceedings of the International Conference CITA 2025. Nguyen, N. T., Huynh, C.-P., Nguyen, Q.-V., Nguyen, T. T., Le-Khac, N.-A. & Seng, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 843-855 13 p. (Lecture Notes in Networks and Systems; vol. 1581 LNNS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 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
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

Nguyen Quoc Khanh Le

Personal profile

Education

Experience

Awards

Research Interests

Related Link

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Foundation Models in Action: Transforming Protein-Ligand Interaction Predictions for Drug Design

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

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

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 unified graph-based approach for protein function prediction using AlphaFold structures and sequence features

Bioinformatics Analysis of Transcriptomic Data (Bulk and scRNA-Seq) for Immuno-Oncology

DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction

Deep Learning-Based Dental Caries Diagnosis: A Modality-Stratified Systematic Review and Meta-Analysis of Faster R-CNN and Mask R-CNN

Hepatic Tumor Segmentation Under Modified Scalable and Transferable nnU-Net Framework

Additional file 2 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

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

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