people
members of the lab or group
layout: about title: about permalink: / subtitle: Viettel AI.
profile: align: right image: my_avt.jpg image_circular: false # crops the image to make it circular # more_info: > # <p>555 your office number</p> # <p>123 your address street</p> # <p>Your City, State 12345</p>
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I am an AI researcher and engineer from Vietnam, currently working at the intersection of generative modeling, multimodal understanding, and controllable visual generation.
My research began with recognizing content and two-dimensional structure in documents: OCR, table structure recognition, and mathematical expression recognition. These problems taught me how difficult it is for AI systems to understand fine-grained visual patterns, spatial structure, and content constraints. My current work on document vision-language models extends that foundation in multimodal understanding. In my latest research, CONSTANT (WACV 2026, Oral, Award Finalist), I learned discrete writer-style concepts from a single reference image to guide text-conditioned diffusion, which motivated my interest in composing visual concepts from only a few examples.
Beyond academic research, I have spent several years building AI systems in industry. At Viettel AI, I have worked on OCR, eKYC, document processing, information extraction, synthetic data generation, and efficient VLM inference for real-world applications. This experience has shaped my research style: I care not only about proposing new models, but also about building systems that are robust, scalable, and useful in practice.
Going forward, I want to build generative models that use vision-language understanding to interpret a creator’s intent from language, sketches, reference images, and iterative feedback. My PhD goal is personalized image and video generation with control over composition, appearance, and motion, while preserving identity and temporal consistency.
Note: I am currently looking for PhD opportunities starting in Fall 2027. If you think my background could be a good fit for your group, please feel free to reach out!
layout: about title: about permalink: / subtitle: Viettel AI.
profile: align: right image: my_avt.jpg image_circular: false # crops the image to make it circular # more_info: > # <p>555 your office number</p> # <p>123 your address street</p> # <p>Your City, State 12345</p>
selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page
announcements: enabled: true # includes a list of news items scrollable: true # adds a vertical scroll bar if there are more than 3 news items limit: 5 # leave blank to include all the news in the _news folder
latest_posts: enabled: false scrollable: true # adds a vertical scroll bar if there are more than 3 new posts items limit: 3 # leave blank to include all the blog posts —
I am an AI researcher and engineer from Vietnam, currently working at the intersection of generative modeling, multimodal understanding, and controllable visual generation.
My research began with recognizing content and two-dimensional structure in documents: OCR, table structure recognition, and mathematical expression recognition. These problems taught me how difficult it is for AI systems to understand fine-grained visual patterns, spatial structure, and content constraints. My current work on document vision-language models extends that foundation in multimodal understanding. In my latest research, CONSTANT (WACV 2026, Oral, Award Finalist), I learned discrete writer-style concepts from a single reference image to guide text-conditioned diffusion, which motivated my interest in composing visual concepts from only a few examples.
Beyond academic research, I have spent several years building AI systems in industry. At Viettel AI, I have worked on OCR, eKYC, document processing, information extraction, synthetic data generation, and efficient VLM inference for real-world applications. This experience has shaped my research style: I care not only about proposing new models, but also about building systems that are robust, scalable, and useful in practice.
Going forward, I want to build generative models that use vision-language understanding to interpret a creator’s intent from language, sketches, reference images, and iterative feedback. My PhD goal is personalized image and video generation with control over composition, appearance, and motion, while preserving identity and temporal consistency.
Note: I am currently looking for PhD opportunities starting in Fall 2027. If you think my background could be a good fit for your group, please feel free to reach out!