I am a PhD candidate in the Department of Computer Science at Stony Brook University, where I’m advised by Prof. Xiaojun Bi and Prof. IV Ramakrishnan. My research interests lie in the area of Human-AI interaction, data science, and accessibility, with a primary focus on intelligent text entry techniques. I’m dedicated to developing AI systems that enhance usability and promote inclusivity in a digital environment. Currently, I am working on developing LLM-based typing systems on smartphones.

I earned my B.S. in computer science from University of Electronic Science and Technology of China (UESTC). Then I received my M.S. in computer science from Stony Brook University (SUNY Korea campus). Please refer to my CV page for detailed information.

I am currently seeking full-time employment commencing in Spring 2026 . Please feel free to contact me at: zhang64 AT cs DOT stonybrook DOT edu.

Skills

• Domains: Machine Learning, Data Science, Human-AI Interaction, Accessibility, UX Research, Deep Learning, Large Language Model, Visualization.
• Programming Languages: Python, Java, Javascript, Swift, C#, Objective-C, C, C++, SQL.
• Tools: Visual Studio Code, Android Studio, Xcode, Unity, Pycharm, Git, R Studio, Matlab.
• Frameworks: PyTorch, Keras, Hugging Face, Angular.

Selected Publications and Presentations

Enabling Auto-Correction on Soft Braille Keboard
Dan Zhang, Yan Ma, Glenn Dausch, William H Seiple, Xianfeng Gu, IV Ramakrishnan, and Xiaojun Bi
[TBD] @ ACM UIST 2025 ((Acceptance Rate: 22%))

LLM Powered Text Entry Decoding and Flexible Typing on Smartphones.
Yan Ma, Dan Zhang, IV Ramakrishnan, and Xiaojun Bi
[Paper] @ ACM CHI 2025 (Acceptance Rate: 25.1%)

Accessible Gesture Typing on Smartphones for People with Low Vision.
Dan Zhang, Zhi Li, Vikas Ashok, William H. Seiple, IV Ramakrishnan, and Xiaojun Bi
[Paper] @ ACM UIST 2024 (Acceptance Rate: 22%)

Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network.
Dan Zhang, and Simon S. Woo
[Paper] @ IEEE Access, 2020

Predicting Air Quality Using Moving Sensors (poster).
Dan Zhang, and Simon S. Woo
[Paper] @ Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, 2019

Google Glass for Personalized Augmentations of Data Visualizations.
Dan Zhang, Darius Coelho, and Klaus Mueller
[Paper] @ IEEE Visualization (Posters), 2016

StreamVisND: Visualizing Relationships in Streaming Multivariate Data.
Shenghui Cheng, Yue Wang, Dan Zhang, Zhifang Jiang, and Klaus Mueller
[Paper] @ 2015 IEEE Conference on Visual Analytics Science and Technology (VAST)

Academic Services

Conference Reviewer for: CHI, UIST, CSCW, UbiComp/ISWC, IEEE Access