Phan Nguyễn Minh Thảo (Nguyen Minh Thao Phan)
Researcher
Contact Info:
EECS International Graduate Program, National Yang Ming Chiao Tung University.
Email: pnmthaoct@gmail.com
LinkedIn: https://www.linkedin.com/in/pnmthao/
Facebook: https://www.facebook.com/pnmthao/
Biography:
Msc. in EECS (02/2022 - 01/2024). National Yang Ming Chiao Tung University, Hsinchu City, Taiwan.
B.Eng. in Information Systems (09/2016 – 01/2021). Can Tho University, Can Tho City, Vietnam.
Research Topics:
Deep learning
Machine Learning
Recommender System
Natural Language Processing
Bioinformatics
Medical Image Processing
Databases
Web Programming
Research Experiences:
11/2023 - now | Researcher | Far Eastern Memorial Hospital & National Yang Ming Chiao Tung University
Topic: Large Language Multimodal Models For 5-Year Chronic Disease Cohort Prediction Using EHR Data.
02/2022 - 01/2024 | Master's thesis | National Yang Ming Chiao Tung University
Topic: FastRx: Exploring Fastformer and Knowledge Graph for Personalized Medication Recommendations.
09/2020 - 01/2021 | Bachelor's thesis | Can Tho University
Topic: Decision Support System for Lung Diseases Diagnosis based on Chest X-ray Images.
06/2020 - 12/2020 | Student Research Project | Can Tho University
Topic: Practice Management Information System Integrating Attendance With Face Recognition.
Publications:
Conference papers:
Phan, T.M.N., Dao, CT., Phan, T.T., Nguyen, H.T. (2024). SDCANet: Enhancing Symptoms-Driven Disease Prediction with CNN-Attention Networks. In: Thai-Nghe, N., Do, TN., Haddawy, P. (eds) Intelligent Systems and Data Science. ISDS 2023. Communications in Computer and Information Science, vol 1949. Springer, Singapore. https://doi.org/10.1007/978-981-99-7649-2_2 [SCOPUS Q4]
Nguyen Minh Thao Phan and Hai Thanh Nguyen (2021). Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks. The Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021. Studies in Computational Intelligence. Springer Nature. 2021 (Accepted). https://doi.org/10.1007/978-3-030-76620-7_7
Nguyen Thanh-Hai, Cong Tinh Dao, Nguyen Minh Thao Phan, Cham Ngoc Thi Nguyen, Tai Tan Phan, and Pham Huynh-Ngoc. (2020) Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance. In: Dang T.K., Küng J., Takizawa M., Chung T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_10. 2020. [SCOPUS Q3]
Journals and Book Chapters:
Ding, Jun-En*, Phan Nguyen Minh Thao*, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng et al. Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. arXiv preprint arXiv:2403.04785 (2024). (* These authors contributed equally to this work).
Phan Nguyen Minh Thao, Chun-Hung Chen, Ling Chen, Wen-Chih Peng. (2024). FastRx: Exploring Fastformer and Knowledge Graph for Personalized Medication Recommendations. ACM Transactions on Intelligent Systems and Technology (TIST). [Q1-journal] (under review).
Hai Thanh Nguyen, Tinh Cong Dao, Thao Minh Nguyen Phan and Tai Tan Phan (2022). Fake face detection in video using shallow deep learning architectures. Int. J. Intell. Syst. Technol. Appl. 20, 6 (2022), 469–486. https://doi.org/10.1504/ijista.2022.128528. [SCOPUS Q4]
Hai Thanh Nguyen, Cham Ngoc Thi Nguyen, Thao Minh Nguyen Phan, Tinh Cong Dao. (2021). Pleural Effusion Diagnosis using Local Interpretable Model-agnostic Explanations and Convolutional Neural Network. The Institute of Electronics and Information Engineers (IEIE), Republic of Korea. 2021. https://doi.org/10.5573/IEIESPC.2021.10.2.101 [SCOPUS Q4]
Hai Thanh Nguyen, Tai Tan Phan, Tinh Cong Dao, Thao Minh Nguyen Phan, Phuc Vinh Dang Ta, Cham Ngoc Thi Nguyen, Ngoc Huynh Pham, Hiep Xuan Huynh. (2020). Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis. Journal of Engineering and Technological Sciences. ISSN: 23375779, Vol. 53, No. 1, 2021, 210109. https://doi.org/10.5614/j.eng.technol.sci.2021.53.1.9. 2020. [SCOPUS Q2]
Thanh Hai Nguyen, Tan Tai Phan, Cong Tinh Dao, Dang Vinh Phuc Ta, Thi Ngoc Cham Nguyen, Nguyen Minh Thao Phan, Huynh Ngoc Pham. (2020). Effective Disease Prediction on Gene Family Abundance using Feature Selection and Binning Approach. Lecture Notes in Electrical Engineering (LNEE) series. ISSN: 1876-1100. https://doi.org/10.1007/978-981-15-9354-3_2. 2020. [SCOPUS Q3]
Phan Tấn Tài, Tạ Đặng Vĩnh Phúc, Phan Nguyễn Minh Thảo, Nguyễn Thị Ngọc Chăm, Đào Công Tính, Phạm Huỳnh Ngọc, Nguyễn Thanh Hải. Đánh giá các công cụ hỗ trợ chẩn đoán bệnh với cách tiếp cận y học cá thể hóa trên dữ liệu metagenomic. Evaluation of assistance tools for diagnosis of diseases by approaching to personalized medicine on metagenomic data (article in Vietnamese with an abstract in English). Trang 117-144; Chuyên san Khoa học Tự nhiên và Công nghệ; Tạp chí Khoa học Trường Đại học Đà Lạt. ISSN: 0866 - 787X. 2020. Tập 10, số 2 (2020). Trang 117-144. http://dx.doi.org/10.37569/DalatUniversity.10.2.646(2020). 2020. (ACI) (link)
Thesis:
Bachelor's thesis. Can Tho University (CTU), Vietnam. (Grade: 4.0/4.0)
Title: Decision Support System for Lung Diseases Diagnosis based on Chest X-ray Images.
Master's thesis. National Yang Ming Chiao Tung University, Taiwan. (Grade: 4.3/4.3)
Title: FastRx: Exploring Fastformer and Knowledge Graph for Personalized Medication Recommendations
Student Research Project:
Hệ thống thông tin quản lý thực hành tích hợp điểm danh bằng nhận diện khuôn mặt. Practice Management Information System Integrating Attendance With Face Recognition (article in Vietnamese with an abstract in English). (06/2020 - 12/2020). (Member) (Classification: Excellent)
Grants and Awards:
Taiwan Scholarship for master’s degree (02/2022-01/2024)
Valedictorian of Major of Information Systems 2016 - 2021. Decision Number: 586
KIT Bio Tech & IT Spring School. Organized by Kyoto Institute of Technology, Japan in 2021.
Received Odon Vallet Fellowship in 2020.
Award for the Top 20 of Excellent Female Students in the field of Science and Technology in 2020. Oragnized by Vietnam Ministry of Science and Technology, and Ho Chi Minh Communist Youth Union.
KIT Bio Tech & IT Winter School. Organized by Kyoto Institute of Technology, Japan in 2019.
Research Award (the second prize) for Taiwan Experience Education Program (Project Title: Workshop on Smart Production and Management) in College of Engineering at Yuan Ze University, Taiwan in 2019.
Microsoft YouthSpark Scholarship in 2018. Organized by Center of Education and Development and Microsoft.
STEM Bootcamp training on promoting girls' interest and participation in science and innovation through STEM education and digital skills. Organized by British Embassy Hanoi in 2018.
The Best Student Scholarships of the Academic Year 2017-2018 and 2018-2019.
Exchanging Students:
Kyoto Institute of Technology, Japan in 2019.
Yuan Ze University (YZU), Taiwan in 2019.
King Mongkut's University of Technology North Bangkok (KMUTNB), Thailand in 2018.
National Kaohsiung University of Science and Technology (KUAS), Taiwan in 2017.
Volunteer experiences:
IEEE International Conference on Knowledge and Systems Engineering (KSE) 2020. Organized by Can Tho University. (Assistant)
DigiGirlz Workshops 2018. Organized by the Center for Education and Development (CED). (Member)