Zikang
Leng

Zikang is a PhD student in Computer Science at Georgia Tech. His research focuses on data synthesis and simulation for human behavior understanding and ubiquitous sensing. He develops methods for generating realistic synthetic sensor data from sources such as text, video, and simulated human motion, with the goal of reducing the cost and limitations of real-world data collection. His work also explores LLM-guided human behavior simulation, cross-modal data generation, and virtual environments for creating scalable and diverse multimodal sensing datasets.

research areas: Data Synthesis, Human Behavior Simulation, Synthetic Sensor Data, Human Activity Recognition, Multimodal Sensing, Ubiquitous Computing

email: zleng7@gatech.edu

website: https://zikangleng.github.io/