Phi Nguyen
My focus lies in Computer Vision, Natural Language Processing, and Machine Learning applications, especially in medical imaging and conversational AI. I am motivated by contributing to cutting-edge research and developing intelligent solutions to complex problems, particularly in healthcare.
Education

PhD in Computer Science

05/2025 - @ Technical University of Munich, Munich, Germany

Research: MRI-reconstruction. Supervised by Prof. Dr. Daniel Rueckert.

MSc in Computer Science

08/2021 - 10/2023 @ Vietnam National University, University of Engineering and Technology, Hanoi, Vietnam

CGPA: 3.59 / 4.00 | Thesis: 9.5 / 10

B.Sc in Computer Science

06/2016 - 06/2020 @ Vietnam National University, University of Engineering and Technology, Hanoi, Vietnam

CGPA: 3.49 / 4.00 | Thesis: 9.8 / 10 (Best Thesis Award)

Research Experience

Research Assistant — VinUni-Illinois Smart Health Center

05/2023 - Present @ VinUniversity, Hanoi, Vietnam

Machine Learning for Echocardiography: Focus on left ventricle segmentation and ultrasound video synthesis from segmentation maps for heart parameter quantification.

Research Assistant — Artificial Intelligence Laboratory

09/2021 - Present @ Vietnam National University, Hanoi, Vietnam

Medical Imaging and Computer Vision: Research in robust left-ventricle segmentation and automated heart parameter quantification.

AI Engineer — Center Of Talent In AI

03/2020 - 03/2021 @ COTAI, Hanoi, Vietnam

Conversational AI for E-commerce: Developed a dialog system automating up to 60% of chat interactions on Kha Kim's e-commerce platform.

Publications
  • MedIDM: Synthesis Medical Video Segmentation Dataset via Implicit Motion Representation from Diffusion Model. (2024, under review) Nguyen Van Phi, et al.
  • Training-Free Condition Video Diffusion Models for Spatial-Semantic Echocardiogram Synthesis. (2024, MICCAI) Nguyen Van Phi, et al.
  • Echocardiography video synthesis from end diastolic semantic map via diffusion model. (2023, ICASSP) Nguyen Van Phi, et al.
  • Echocardiography Segmentation Using Neural Ordinary Differential Equation Based Diffiomorphic Registration Field. (2023, preprint) Nguyen Van Phi, et al.
Work Experience

Teaching Assistant

12/2020 - Present @ VNU University of Engineering and Technology, Hanoi, Vietnam

Courses: Introduction to Programming, Advanced Programming, Computer Graphics, Data Processing with Python.

Awards & Honours
  • Third Prize, Nghe An Provincial Excellent Student Programming Contest (2015)
  • Third Prize, Procon Contest (2018)
  • Encouragement Scholarship, VNU University of Engineering and Technology (2016-2018)