Radar Sensing
Learning robust gesture representations from Doppler radar signals.
Researcher · Engineer · Writer
Building systems that learn from signals and interaction.
I am Eisen (Zihan) Jiang, a senior at Zhejiang University and an incoming graduate student at Georgia Tech. My work sits at the intersection of intelligent systems, sensing, and embodied learning.
Biography
My current research explores gesture recognition from Doppler radar signals and vision-based human action understanding. I am especially interested in reinforcement learning and embodied AI: agents that perceive, reason, and act in physical or simulated environments.
I use this site to share research updates, publications, projects, and engineering notes from the systems I build along the way.
Current focus
View research →Embodied AI
Studying agents that learn through interaction and generalize across tasks.
Systems
Strengthening PyTorch and C++ foundations for efficient intelligent systems.
Latest notes
Technical notes on CUDA, C++, quantitative learning, and experiments in machine learning.
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