About

Yiwen Dong

I am an incoming assistant professor at UIUC ISE (co-affiliated with ECE and CEE), and a current postdoc fellow at Stanford HAI, mentored by Prof. James Landay and Prof. Jessica Rose. I obtained my Ph.D. degree at the Structures as Sensors Lab at Stanford University, advised by Prof. Hae Young Noh. My undergraduate degree is obtained from Nanyang Technological University, Singapore.

My research aims to develop ambient intelligence that enables our everyday living spaces to sense, infer, and react to human health and well-being.

I am looking for 2-3 Ph.D. students for fall 2025. If you are interested, please contact me via yiwen@illinois.edu . Preferred background: data analysis, sensing, human-environment interaction.

Email  /  CV  /  Google Scholar


News

Selected Publications

* indicates equal contribution

HealthyVibes: Gait Abnormality Detection through Gait-Induced Floor Vibrations

Yiwen Dong, Sung Eun Kim, Kornél Schadl, Peide Huang, Wenhao Ding, Jessica Rose, Hae Young Noh

Published on IEEE Journal of Biomedical and Health Informatics


Sensing Ambient Floor Vibration Advances the Accessibility of Functional Gait Assessment for Children with Muscular Dystrophies

Yiwen Dong, Megan Iammarino, Jingxiao Liu, Jesse Codling, Jonathon Fagert, Mostafa Mirshekari, Linda Lowes, Pei Zhang, and Hae Young Noh

Published on Nature Scientific Reports


GameVibes: Context-Aware Crowd Monitoring for Sports Games through Crowd-induced Structural Vibrations

Yiwen Dong, Yuyan Wu, Yen-Cheng Chang, Jatin Aggarwal, Jesse R Codling, Hugo Latapie, Pei Zhang, and Hae Young Noh

Published on Data-Centric Engineering (BuildSys '23)


Intruder Detection and Person Identification through Footstep-Induced Floor Vibrations

Yiwen Dong, Jonathon Fagert, and Hae Young Noh

Published on Mechanical Systems and Signal Processing


PigSense: Structural Vibration-based Activity and Health Monitoring System for Pigs

Yiwen Dong*, Amelie Bonde*, Jesse R. Codling, Adeola Bannis, Jinpu Cao, Asya Macon, Gary Rohrer, Jeremy Miles, Sudhendu Sharma, Tami Brown-Brandl, Akkarit Sangpetch, Orathai Sangpetch, Pei Zhang, Hae Young Noh

Published on ACM Transactions on Sensor Networks (IPSN '21)

Curriculum Vitae

Click here to download my full CV (last update: June 2024).

Education

Stanford University

Sept 2020 -- June 2024

Ph.D.

Specialization: cyber-physical-human systems, physics-informed machine learning, and structural vibrations

Stanford University

Sept 2018 -- June 2020

M.S.

Specialization: structural engineering

Nanyang Technological University, Singapore

Aug 2014 -- June 2018

B.Eng.

Specialization: civil engineering, data science

Academic Services

Organizing Committee

  • HumanSys' 24, BuildSys' 24, SenSys '23, IMAC '23, IWSHM '23

Reviewer

  • IMWUT, JBHI, TOSN, JEM, MSSP, IoT-J

Teaching

  • Stanford CEE 154/254: Data Analytics for Physical Systems. Guest Lecturer, 2023, 2024. Head of teaching assistants, Fall 2021, 2022, 2023.
  • UMich EECS 507: Introduction to Embedded System Research. Guest Lecturer, 2022, 2023.
  • Stanford CEE 286: Structural Monitoring. Teaching assistant, Winter 2021, 2022, 2023.