About me

Thao Phan is a dedicated and curious researcher specializing in Information Systems and Computer Science. Her focus areas include Deep Learning, Natural Language Processing, Recommender Systems, and Medical Image Processing. Thao received a Bachelor's degree in Information Systems from Can Tho University (CTU), Vietnam in 2021, and a Master's degree in Electrical Engineering & Computer Science (EECS) from National Yang Ming Chiao Tung University (NYCU), Taiwan in 2024, where she was a Taiwan Scholarship recipient. She is currently a Ph.D student in EECS at NYCU. With a track record of project involvement and multiple awards, Thao is committed to continuous learning, research, and networking.

Proffesional Skills

• Research skills: 

  • Deep Learning and Machine learning, Medical Image Processing, Recommender Systems, Natural Language Processing, Data Mining, Clinical Decision Support System 

• Personal skills: 

  • Willing to learn, work ethic, problem-solving, creativity, writing, adaptability, flexibility, interpersonal skills 

Research Experiences

• 11/2023 - now | Assistant Researcher | Far Eastern Memorial Hospital & National Yang Ming Chiao Tung University, Taiwan

  • Topic: Disease Risk Prediction: Establishing a Prediction Platform using Deep Learning Techniques from Big Data of Electronic Health Records. 

• 02/2022 - 01/2024 | Master's thesis | National Yang Ming Chiao Tung University, Taiwan | Grade: 4.3/4.3

  • Topic: FastRx: Exploring Fastformer and Knowledge Graph for Personalized Medication Recommendations.

• 09/2020 - 01/2021 | Bachelor's thesis | Can Tho University, Vietnam | Grade: 4.0/4.0

  • Topic: Decision Support System for Lung Diseases Diagnosis Based on Chest X-ray Images.

• 06/2020 - 12/2020 | Student Research Project | Can Tho University, Vietnam | Classification: Excellent

  • Topic: Practice Management Information System Integrating Attendance With Face Recognition.

Publications

Conference papers:

• Phan, T. M. N., Dao, C. T., Wu, C., Wang, J. Z., Liu, S., Ding, J. E., Restrepo, D., Liu, F., Hung, F. M. & Peng, W. C. (2024). MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (Short paper, ACM CIKM 2024). [DOI]

• Phan, T. M. N., Dao, C. T., Phan, T. T., & Nguyen, H. T. (2023, October). SDCANet: Enhancing Symptoms-Driven Disease Prediction with CNN-Attention Networks. In International Conference on Intelligent Systems and Data Science (pp. 15-30). Singapore: Springer Nature Singapore. [DOI] [SCOPUS Q4]

• Phan, T. M. N., & Nguyen, H. T. (2021). Clinical Decision Support Systems for Pneumonia Diagnosis Using Gradient-Weighted Class Activation Mapping and Convolutional Neural Networks. In Soft Computing: Biomedical and Related Applications (pp. 81-92). Cham: Springer International Publishing. [DOI] 

• Nguyen, T. H., Dao, C. T., Phan, N. M. T., Nguyen, T. N. C., Phan, T. T., & Pham, H. N. (2020). Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance. In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings 7 (pp. 130-148). Springer Singapore. [DOI] [SCOPUS Q3] 

Journals and Book Chapters:

• Phan, N. M. T., Chen, L., Chen, C. H., & Peng, W. C. (2024). FastRx: Exploring Fastformer and Memory-Augmented Graph Neural Networks for Personalized Medication Recommendations. ACM Transactions on Intelligent Systems and Technology. [DOI][Q1]

• Ding, J. E., * Thao, P. N. M. *, Peng, W. C., Wang, J. Z., Chug, C. C., Hsieh, M. C., ... & Hung, F. M. (2024). Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records. Scientific Reports, 14(1), 20774. (* Equally contributions). [DOI][Q1]

• Nguyen, H. T., Dao, T. C., Phan, T. M. N., & Phan, T. T. (2022). Fake face detection in video using shallow deep learning architectures. International Journal of Intelligent Systems Technologies and Applications, 20(6), 469-486.  [DOI] [SCOPUS Q4]

• Nguyen, H. T., Nguyen, C. N. T., Phan, T. M. N., & Dao, T. C. (2021). Pleural Effusion Diagnosis using Local Interpretable Model-agnostic Explanations and Convolutional Neural Network. IEIE Transactions on Smart Processing & Computing, 10(2), 101-108. [DOI] [SCOPUS Q4] 

• Nguyen, H. T., Phan, T. T., Dao, T. C., Phan, T. M. N., Ta, P. V. D., Nguyen, C. N. T., ... & Huynh, H. X. (2021). Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis. Journal of Engineering & Technological Sciences, 53(1). [DOI] [SCOPUS Q2]

• Nguyen, T. H., Phan, T. T., Dao, C. T., Ta, D. V. P., Nguyen, T. N. C., Phan, N. M. T., & Pham, H. N. (2021). Effective disease prediction on gene family abundance using feature selection and binning approach. In IT Convergence and Security: Proceedings of ICITCS 2020 (pp. 19-28). Springer Singapore. [DOI] [SCOPUS Q3]

• Tai, P. T., Phuc, T. D. V., Thao, P. N. M., Cham, N. T. N., Tinh, D. C., Ngoc, P. H., & Hai, N. T. (2020). Evaluation Of Assistance Tools For Diagnosis Of Diseases By Approaching To Personalized Medicine On Metagenomic Data. Dalat University Journal of Science, 10(2), 117-144. [DOI]

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.

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)