Liang He

Assistant Professor

he731@purdue.edu

@lianghci

https://www.linkedin.com/in/edigahe/

https://www.lianghe.me

EdigaHe

Knoy 331

Office Hours:

Wednesdays: 13:00 - 16:00

Liang He, Assistant Professor at the Department of Computer Graphics Technology, earned a master’s degree and a doctorate in Computer Science & Engineering from the University of Washington, Seattle. He also earned a master's degree in Computational Design from Carnegie Mellon University and a master's degree in Applied Computer Technology from the University of Chinese Academy of Sciences. Liang's research in human-computer interaction (HCI) focuses on the design and development of novel interactive techniques and tools that mediate human interactions with custom physical objects, devices, and interfaces for computing. He also worked in HP Labs, in the VIBE group at Microsoft Research (Redmond), and at Keio-NUS CUTE Center. Liang publishes at top HCI venues such as CHI, UIST, IMWUT, TEI, and ASSETS and received two best paper awards and one best paper nominee.

Education:

2022 - Doctorate, Computer Science & Engineering, University of Washington

2015 - Master, Computational Design, Carnegie Mellon University

2013 - Master, Applied Computer Technology, University of Chinese Academy of Sciences

2010 - Bachelor, Software Engineering, Beihang University

2023 Special Recognitions, UIST ’23, CHI '24, IMWUT, DIS '23 paper reviews

2022 Special Recognition, UIST ’22 and CHI '23 paper reviews

2021 Special Recognition, CHI ’22 paper reviews

2021 Bob Bandes Memorial Honorable Mention Student Teaching Award (top 1%), CSE, UW

2021 Special Recognition, UIST ’21 paper reviews

2020 Special Recognition, UIST ’20 paper reviews

2020 Special Recognition, CHI ’20 paper reviews

2019 Winner, CHI ’19 SV t-shirt design contest

2018 Finalist, Amazon Catalyst Award

2017 Best Paper Award, CHI ’17

2016 Conference Travel Funding, Department of Computer Science, UMD

2016 Best Late-Breaking Work Paper Award, CHI ’16

2015/2016 Dean’s fellowship, Department of Computer Science, UMD

2014 Conference Travel Funding, School of Architecture, CMU

2013/2014 Department Scholarship, School of Architecture, CMU

2014 Most Creative Award, UIST ’14 Student Innovation Contest

2015 Honorable Mentions Award, CHI ’15

2014 Winner, CHI ’14 SV t-shirt design contest

2012 Winner, G-Startup Seed Stage, Global Mobile Internet Conference ’12

2011 Winner, Baidu User Experience contest

2011 Follow-up, Software Design, Microsoft Imagine Cup Local Final

2009 China National Scholarship (Top 1% nationwide)

Zeyu Yan, Hsuanling Lee, Liang He, and Huaishu Peng. 2023. 3D Printing Magnetophoretic Displays. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST '23). Association for Computing Machinery, New York, NY, USA, Article 54, 1–12. https://doi.org/10.1145/3586183.3606804
Liwen He, Yifan Li, Mingming Fan, Liang He, and Yuhang Zhao. 2023. A Multi-modal Toolkit to Support DIY Assistive Technology Creation for Blind and Low Vision People. In Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST '23 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 3, 1–3. https://doi.org/10.1145/3586182.3616646
Srishti Shekhar Agrawal, Shrey Panchal, and Liang He. 2023. Understanding the Experiences, Challenges, and Needs of Dementia Caregivers in the Indian Subcontinent. In Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23). Association for Computing Machinery, New York, NY, USA, Article 84, 1–5. https://doi.org/10.1145/3597638.3614500
Daniel Campos Zamora, Liang He, Yueqian Zhang, Xuhai Xu, Jennifer Mankoff, and Jon E. Froehlich. 2022. SPrintr: Towards In-Situ Personal Fabrication using a Mobile 3D Printer. In Proceedings of the 7th Annual ACM Symposium on Computational Fabrication (SCF '22). Association for Computing Machinery, New York, NY, USA, Article 31, 1–3. https://doi.org/10.1145/3559400.3565587
Liang He, Xia Su, Huaishu Peng, Jeffrey Ian Lipton, and Jon E. Froehlich. 2022. Kinergy: Creating 3D Printable Motion using Embedded Kinetic Energy. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22). Association for Computing Machinery, New York, NY, USA, Article 69, 1–15. https://doi.org/10.1145/3526113.3545636
Hongnan Lin, Liang He, Fangli Song, Yifan Li, Tingyu Cheng, Clement Zheng, Wei Wang, and HyunJoo Oh. 2022. FlexHaptics: A Design Method for Passive Haptic Inputs Using Planar Compliant Structures. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 169, 1–13. https://doi.org/10.1145/3491102.3502113
Liang He, Jarrid A. Wittkopf, Ji Won Jun, Kris Erickson, and Rafael Tico Ballagas. 2022. ModElec: A Design Tool for Prototyping Physical Computing Devices Using Conductive 3D Printing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 159 (Dec 2021), 20 pages. https://doi.org/10.1145/3495000

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Liang He

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