Niansia | Computer Science

PROFILE / 2026

Niansia

Computer science graduate preparing for graduate study in AI security, computer vision, and vision-language models.

I graduated in 2026 with a degree in Computer Science from Yuan Ze University and am currently preparing applications to graduate programs. My interests center on the security, robustness, and reasoning capabilities of visual and multimodal intelligent systems.

I am especially interested in how evidence is collected, how reasoning fails, how uncertainty is communicated, and how experiments can be reproduced by other researchers.

Currently

Preparing graduate applications while exploring security, robustness, evaluation, and reasoning in visual and multimodal AI systems.

Open to

Research conversations, reproducibility work, unusual datasets, and well-defined failure cases.

Research areas

My current interests are organized around two closely related research areas.

A

AI & multimodal security

How can visual and multimodal AI systems remain secure, robust, and auditable under adversarial inputs, weak evidence, and real-world uncertainty?

Security / robustness / adversarial and failure analysis / content integrity / trustworthy evaluation

B

Vision & multimodal intelligence

How can computer vision and vision-language systems preserve visual evidence, reason across modalities and time, and be evaluated for grounding rather than fluency alone?

Computer vision / VLMs / multimodal reasoning / memory / evaluation

Additional interests. Quantitative machine learning, interactive systems, and research software.

Some active research projects remain private during development and review; code, results, and reproducible artifacts will be released when appropriate.

Contact

If you are working on AI security, computer vision, vision-language models, trustworthy multimodal AI, reproducibility, or research tooling, I welcome thoughtful conversations and possible collaborations.

wilbur930202@gmail.com