Nhat Truong Pham

Ph.D. Student in Integrative Biotechnology specializing in 🧬Applied Machine Learning/Deep Learning for Computational Biology and Bioinformatics🧬

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Room 62105, Biotechnology and Bioengineering Building 2, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, Republic of Korea

Short Bio: My name is PháșĄm Nháș­t Trường - Vietnamese. I am currently a first/second-year Ph.D. Student at the Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University (SKKU), Republic of Korea. I am working under the guidance of Professor Balachandran Manavalan in the Computational Biology and Bioinformatics Laboratory. Prior to joining SKKU, I have worked as an Assistant Researcher at Ton Duc Thang University (TDTU), Vietnam. I completed my M.E. degree in Automation and Control at TDTU, where I was supervised by Dr. Sy Dzung Nguyen and co-supervised by Dr. Duc Ngoc Minh Dang. I also hold a B.E. degree in Electronics and Telecommunication from TDTU, which I obtained in 2019 under the supervision of Dr. Duc Ngoc Minh Dang.

Research Interests: Artificial Intelligence, Computational Intelligence, Deep Learning, Machine Learning, Signal Processing, XAI & Optimization, and their applications in the fields of Affective Computing, Antibody Therapeutics, Antibody Functional & Structural Prediction, Audio & Speech Processing, Bioinformatics, Biological Image Analysis, Computational Biology & Medicine, Computer-Aided Drug Design, Medical Image Analysis, Metagenomics Analysis, Multi-Omics Analysis, NeuroAI, Neurodegenerative Diseases, Peptide Therapeutics, Protein Design, Protein Functional & Structural Prediction, and Water Quality.

Inspirational Quotes:

Your origin does not determine what kind of person you are. Only you can decide who you become. - Meng Chih Chiang

Life can be heavy, especially if you try to carry it all at once. - Taylor Swift

Life can be seen as a balance between positive and negative aspects throughout its entirety. Therefore, it's essential to cherish every moment and embrace life fully. - Nhat Truong Pham

$$ \begin{align*} \text{Life} &= \int_{\text{birth}}^{\infty} \left(\frac{\text{Happiness} \times \text{Love} \times \text{Peace}}{\text{time}} - \frac{\text{Sadness} \times \text{Revenge} \times \text{Discord}}{\text{time}}\right) \, \text{dtime} \\ &= \int_{\text{birth}}^{\rm{t_{2024}}} \left(\frac{\text{Happiness} \times \text{Love} \times \text{Peace}}{\text{time}} - \frac{\text{Sadness} \times \text{Revenge} \times \text{Discord}}{\text{time}}\right) \, \text{dtime} \\ &\quad + \int_{\rm{t_{2024}}}^{\infty} \left(\frac{\text{Happiness}' \times \text{Love}' \times \text{Peace}'}{\text{time}} - \frac{\text{Sadness}' \times \text{Revenge}' \times \text{Discord}'}{\text{time}}\right) \, \text{dtime} \end{align*} $$

Latest News

Nov 2, 2024 One manuscript entitled “MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts” has been accepted for publication in the Journal of Molecular Biology
Oct 4, 2024 One collaborative manuscript entitled “HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach” has been accepted for publication in the MMAsia ‘24: Proceedings of the 6th ACM International Conference on Multimedia in Asia
Sep 30, 2024 Our project, entitled “Accurate Liver Pathology Identification via Dual-stream Graph Convolutional Networks (읎쀑 슀튞늌 귞래프 í•©ì„±êł± 신êČœë§ì„ 톔한 정확한 간 병멬 ì‹ëł„)”, has been selected for the 2024 3rd K-BDS analysis infrastructure utilization support program ([Track I] Large innovation research) by the Korea Bio Data Station (K-BDS), Korea Institute of Science and Technology Information, Republic of Korea
Aug 13, 2024 Two collaborative manuscripts entitled “Federated Learning with U-Net for Brain Tumor Segmentation: Impact of Client Numbers and Data Distribution” and “Towards Real-time Vietnamese Traffic Sign Recognition on Embedded Systems” have been accepted for publication in the 2024 15th International Conference on Information and Communication Technology Convergence (ICTC)
Jul 7, 2024 Two manuscripts entitled “Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion” and “Lang2Mol-Diff: A Diffusion-Based Generative Model for Language-to-Molecule Translation Leveraging SELFIES Representation” have been accepted for publication in the Proceedings of the 1st Workshop on Language + Molecules (L+M 2024)

Selected Publications

(†) denotes equal contribution

(*) denotes correspondance

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denotes conference

2024

  1. Mol2Lang-VLM.png
    Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion
    Duong Thanh Tran(†), Nhat Truong Pham(†), Nguyen Doan Hieu Nguyen, and Balachandran Manavalan
  2. Lang2Mol-Diff.png
    Lang2Mol-Diff: A Diffusion-Based Generative Model for Language-to-Molecule Translation Leveraging SELFIES Molecular String Representation
    Nguyen Doan Hieu Nguyen(†), Nhat Truong Pham(†), Duong Thanh Tran, and Balachandran Manavalan
  3. HOTGpred.png
    HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
    Nhat Truong Pham(†), Ying Zhang(†), Rajan Rakkiyappan, and Balachandran Manavalan
  4. mACPpred2.png
    mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations
    Vinoth Kumar Sangaraju(†), Nhat Truong Pham(†), Leyi Wei, Xue Yu, and Balachandran Manavalan
  5. ac4C-AFL.png
    ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
    Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, Rajan Rakkiyappan, and Balachandran Manavalan
  6. H2Opred.png
    H2Opred: a robust and efficient hybrid deep learning model for predicting 2’-O-methylation sites in human RNA
    Nhat Truong Pham, Rajan Rakkiyappan, Jongsun Park, Adeel Malik, and Balachandran Manavalan
  7. MeL-STPhos.png
    Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
    Nhat Truong Pham(†), Le Thi Phan(†), Jimin Seo, Yeonwoo Kim, Minkyung Song, Sukchan Lee, Young-Jun Jeon, and Balachandran Manavalan

2023

  1. AAD-Net.png
    AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network
    Mustaqeem Khan, Abdulmotaleb El Saddik, Fahd Saleh Alotaibi, and Nhat Truong Pham
  2. HDA_mADCRNN.png
    Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition
  3. Fruit-CoV.png
    Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds
    Long H Nguyen(†), Nhat Truong Pham(†)(*), Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, and Chee Peng Lim

2022

  1. mVina.png
    Improving ligand-ranking of AutoDock Vina by changing the empirical parameters
    T Ngoc Han Pham, Trung Hai Nguyen, Nguyen Minh Tam, Thien Y. Vu, Nhat Truong Pham, Nguyen Truong Huy, Binh Khanh Mai, Nguyen Thanh Tung, Minh Quan Pham, Van V. Vu, and Son Tung Ngo
  2. fRiskC.png
    Determination of the optimal number of clusters: a fuzzy-set based method
    Sy Dzung Nguyen, Vu Song Thuy Nguyen, and Nhat Truong Pham