Zikang Leng

Zikang Leng

CS PhD Student at Georgia Tech | Research in Computer Vision & Ubiquitous Computing

Zikang Leng

I’m a second-year Ph.D. student in Computer Science at Georgia Tech’s School of Interactive Computing, advised by Prof. Thomas Ploetz. My research is supported by the National Science Foundation Graduate Research Fellowship (NSF GRFP).

I completed my B.S. in Computer Science at Georgia Tech in 2024, where I worked with Prof. Thomas Ploetz and Prof. Hyeokhyen Kwon on generating synthetic sensor data for human activity recognition using text-based generative models. I’m broadly interested in how AI and sensing technologies can model and understand human behavior in realistic, privacy-preserving ways.

My CV can be found here

Research

My research lies at the intersection of ubiquitous computing, synthetic data generation, and large language models (LLMs). I build intelligent simulation systems where LLM-guided embodied agents generate virtual sensor data—such as motion, ambient, and wearable signals—inside realistic environments. This work aims to scale human activity recognition (HAR) beyond the limits of costly, privacy-sensitive real-world data. I’m also interested in how these generative frameworks can bridge text, video, and sensor modalities, enabling diverse and generalizable models for human-centered AI.

News

For more news, please visit the News page.