Bio

Yiwen Dong is a Ph.D. student in the Department of Civil and Environmental Engineering at Stanford University, advised by Prof. Hae Young Noh. Her research interest is human behavior characterization and health monitoring through their interactions with the physical structures. Her current work focuses on human and animal health monitoring through footstep/activity-induced structural vibrations.

While structures are traditionally considered as passive and indifferent, her works allow the structures to be both self-aware and user-aware. Yiwen developed systems that utilize the ambient structural vibrations to infer human behaviors and health states, which enables many smart building applications such as in-home patient monitoring and elder care, intruder prevention and occupant management, animal health monitoring and welfare. She strives for the next-generation intelligent infrastructures by exploring the potential of structural monitoring for human-centered purposes.

Yiwen has an interdisciplinary background in structural engineering, electrical engineering, and machine learning. Yiwen received her Master’s degree in Structural Engineering at Stanford University and her Bachelor’s degree in civil engineering at Nanyang Technological University. She won various awards (Best Paper Award, runner-ups in competitions) in ubiquitous computing and cyber-physical system conferences. She is passionate about combining the physical knowledge from structural dynamics, sensing approaches from cyber-physical systems, and data-driven models from machine learning to infer people’s characteristics, behavior patterns and health states.

Honors & Awards

  • Conference NSF fellowship, MMLDT-CSET Organizing Committee (07/30/2021)
  • Best Paper Award, Second Nurse Care Activity Recognition Challenge, HASCA Workshop, UbiComp 2020 (09/17/2020)
  • Gold Medal, Professional Engineers Board, Singapore (2018)
  • Dean’s List Excellent Academic Award, Nanyang Technological University, Singapore (2014-2018)
  • SM2 Scholarship, Ministry of Education, Singapore (2013)

Education & Certifications

  • B.Eng., Nanyang Technological University, Singapore, Civil Engineering (2018)
  • M.S., Stanford University, Structural Engineering (2020)

Contact

  • Academic
    ywdong@stanford.edu
    University - Student Department: Civil and Environmental Engineering Position: Graduate
    University - Student Department: Electrical Engineering Position: Graduate

Additional Info

All Publications

  • TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT Liu, J., Yuan, S., Dong, Y., Biondi, B., Noh, H. 2023; 7 (2)

    View details for DOI 10.1145/3596262

    View details for Web of Science ID 001005382400019

  • Stranger Detection and Occupant Identification Using Structural Vibrations Dong, Y., Fagert, J., Zhang, P., Noh, H., Rizzo, P., Milazzo, A. SPRINGER-VERLAG SINGAPORE PTE LTD. 2023: 905-914

    View details for DOI 10.1007/978-3-031-07254-3_91

    View details for Web of Science ID 000871789600089

  • MassHog: Weight-Sensitive Occupant Monitoring for Pig Pens using Actuated Structural Vibrations Codling, J. R., Bonde, A., Dong, Y., Cao, S., Sangpetch, A., Sangpetch, O., Noh, H., Zhang, P., ASSOC COMP MACHINERY ASSOC COMPUTING MACHINERY. 2021: 600-605

    View details for DOI 10.1145/3460418.3480414

    View details for Web of Science ID 000723951900137

  • Social Distancing Compliance Monitoring for COVID-19 Recovery Through Footstep-Induced Floor Vibrations SenSys '21 Dong, Y., et al 2021: 399-400
  • Non-parametric Bayesian Learning for Newcomer Detection using Footstep-Induced Floor Vibration IPSN '21 Dong, Y., et al 2021: 404–405

    View details for DOI 10.1145/3412382.3458785

  • PigNet: Failure-Tolerant Pig Activity Monitoring System Using Structural Vibration IPSN '21: International Conference on Information Processing in Sensor Networks Bonde, A., Codling, J., Naruethep, K., Dong, Y., et al 2021: 328–340

    View details for DOI 10.1145/3412382.3458902

  • A window-based sequence-to-one approach with dynamic voting for nurse care activity recognition using acceleration-based wearable sensor UbiComp-ISWC '20 Dong, Y., et al 2020: 390–395

    View details for DOI 10.1145/3410530.3414336

  • MD-Vibe: physics-informed analysis of patient-induced structural vibration data for monitoring gait health in individuals with muscular dystrophy UbiComp-ISWC '20 Dong, Y., et al 2020: 525–531

    View details for DOI 10.1145/3410530.3414610

https://orcid.org/0000-0002-7877-1783