Scholar
Haozhe Zhou
Google Scholar ID: ST_7TB4AAAAJ
Ph.D. Student, Carnegie Mellon University
Citations & Impact
Citations
43
H-index
4
i10-index
2
Publications
6
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Selected Publications: IMUCoCo Coconut (UIST '25), ThingPoll (CHI '24), Kirigami (UbiComp '24)
Research Experience
- Current work focuses on building systems that enable flexible and privacy-preserving human sensing across diverse real-world contexts. Through projects like IMUCoCo for adaptable IMU placement, ThingPoll for privacy negotiation in shared spaces, and Kirigami for speech-filtered audio sensing, he explores how sensing systems can adapt to different devices, placements, and user requirements while maintaining accuracy and respecting privacy.
Education
- Ph.D.: Carnegie Mellon University, School of Computer Science, Societal Computing, 2022/08 - Present; B.S.: Purdue University, Department of Computer Science, Computer Science Honors, 2018/08 - 2021/12
Background
- Research Interests: Ubiquitous Computing, Machine Learning for Sensing, Human Pose Estimation, Human Activity Recognition, Privacy. Brief Introduction: Haozhe Zhou is a PhD student in Societal Computing at the School of Computer Science, Carnegie Mellon University, advised by Yuvraj Agarwal and Mayank Goel. His research focuses on enabling scalable and generalizable human sensing systems that operate reliably in heterogeneous real-world environments.
Miscellany
- Contact: GitHub, LinkedIn, E-Mail
Co-authors