Hsuanling Hannah Lee

Human-Computer Interaction Researcher · Maker · Lifelong Athlete

Hsuanling (Hannah) Lee is a Research Assistant at the University of Texas at Dallas, advised by Prof. Liang He. She completed her B.S. in Computer Engineering at Purdue University, where she first became interested in computational fabrication, wearable technologies, and human–computer interaction (HCI).

She has been fortunate to collaborate with many inspiring HCI researchers, including Koya Narumi, Yuhang Zhao, Huaishu Peng, and Te-Yen Wu. These collaborations have shaped her interest in designing materials, interfaces, and systems that expand how people preceive and interact with the physical world.

Outside of research, she is a lifelong sports lover. Spot her dog and click to meet Zeeko!

Publications

3D Magnetophoretic Display
UIST 20233DPC Pioneer of the Decade Finalist

3D Magnetophoretic Display

Zeyu Yan, Hsuanling Lee, Liang He, Huaishu Peng

Fluxable: A Tool for Making 3D Printable Sensors and Actuators
UIST 2024Best Poster Award

Fluxable: A Tool for Making 3D Printable Sensors and Actuators

Hsuanling Lee, Yujie Shan, Huachao Mao, Liang He

FluxLab: Creating 3D Printable Shape-Changing Devices with Integrated Deformation Sensing
To appear at TEI 2026

FluxLab: Creating 3D Printable Shape-Changing Devices with Integrated Deformation Sensing

Hsuanling Lee, Jiakun Yu, Shurui Zheng, Te-Yen Wu, Liang He

Computational Tailor-Making for Personalized, Shape-changing, and Sustainable Fabrics.
UIST 2025 Workshop

Computational Tailor-Making for Personalized, Shape-changing, and Sustainable Fabrics.

Koya Narumi, Yuichi Hirose, Hsuanling Lee, Maria Larsson, Liang He, Mackenzie Leake, Jack Forman, Behnaz Farahi, Lining Yao, Takeo Igarashi

3D Printing Shape-Changing Devices with Inductive Sensing.
SIGGRAPH 2024 Poster

3D Printing Shape-Changing Devices with Inductive Sensing.

Hsuanling Lee, Liang He

Not Seeing the Whole Picture: Challenges and Opportunities in Using AI for Co-Making Physical DIY-AT for People with Visual Impairments
Paper Under Review

Not Seeing the Whole Picture: Challenges and Opportunities in Using AI for Co-Making Physical DIY-AT for People with Visual Impairments

Hsuanling Lee*, Ben Kosa*, Jasmine Li, Sanbrita Mondal, Yuhang Zhao, Liang He