Mingmin Zhao

I am an Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. I also hold a secondary appointment in the Electrical and Systems Engineering Department. Previously, I received my Ph.D. from MIT, working with Prof. Dina Katabi, and my B.S. from Peking University.

Research Interests:

• Wireless technologies: sensors and systems with novel sensing capabilities.
• Machine learning & graphics: principled methods for multi-modal learning and sensing.
• Digital health: contactless health monitoring and digital biomarker discovery.
• Robust robotic perception: robots that continue to sense in adverse conditions.

Updates:

• Our paper on High Resolusion RF-based 3D SLAM accepted at MobiCom 2025.
• PanoRadar won the Best Demo Award & the First Place in Student Research Competition at MobiCom 2024.
• Acoustic Volume Rendering (AVR) accepted at NeurIPS as Spotlight.
• PanoRadar accepted at MobiCom 2024.
• My Ph.D. thesis received ACM SIGMOBILE Doctoral Dissertation Award Runner-up.
• Spending time at Emerald Innovations deploying my Ph.D. research at scale.
• Successfully defended my Ph.D. thesis (Oct 2021)!
• I co-organized the Multi-Modality Learning from Videos and Beyond tutorial at ICCV 2021.
• Our work on monitoring and assessing medication administration is online at Nature Medicine.
• My research on sleep and activity sensing lets doctors monitor COVID-19 patients from a distance.
• We showed a real-time demo of Through-Wall Human Pose Estimation and Activity Recognition at ECCV 2020.
• I co-organized the Contactless Health Monitoring with AI tutorial at CVPR 2020.
• We showed a real-time demo of Through-Wall 3D Human Pose Estimation at SIGCOMM 2018.
• EQ-Radio received CACM Research Highlights and ACM SIGMOBILE Research Highlights.
• EQ-Radio is the topic of an entire episode in The Big Bang Theory!

Videos:

Publications (selected):

RF-Based 3D SLAM Rivaling Vision Approaches

Haowen Lai, Zhiwei Zheng and Mingmin Zhao
To appear in ACM MobiCom 2025, Hong Kong, China, November 2025

Acoustic Volume Rendering and Neural Impulse Response Fields

Zitong Lan, Chenhao Zheng, Zhiwei Zheng and Mingmin Zhao
NeurIPS 2024, Vancouver, Canada, December 2024
Paper / OpenReview / Website / AVR Code / AcoustiX Code
Spotlight

Enabling Visual Recognition at Radio Frequency

Haowen Lai, Gaoxiang Luo, Yifei Liu and Mingmin Zhao
ACM MobiCom 2024, Washington, DC, November 2024
Paper / Website / Code / Dataset
Best Demo Award & First Place in Student Research Competition

Development of oculomics artificial intelligence for cardiovascular risk factors: A case study in fundus oculomics for HbA1c assessment and clinically relevant considerations for clinicians

Joshua Ong, Kuk Jin Jang, Seung Ju Baek, Dongyin Hu, Vivian Lin, Sooyong Jang, Alexandra Thaler, Nouran Sabbagh, Almiqdad Saeed, Minwook Kwon, Jin Hyun Kim, Seongjin Lee, Yong Seop Han, Mingmin Zhao, Oleg Sokolsky, Insup Lee, Lama A Al-Aswad
Asia-Pacific Journal of Ophthalmology, 2024

Seeing Through Clouds in Satellite Images

Mingmin Zhao, Peder Olsen and Ranveer Chandra
IEEE Transactions on Geoscience and Remote Sensing, 2023 / Paper

Wireless Sensing with Machine Learning: Through-Wall Vision & Contactless Health Monitoring

Mingmin Zhao
Ph.D. Dissertation, MIT 2022 / Thesis
ACM SIGMOBILE Doctoral Dissertation Award Runner-up

Assessment of Medication Self-Administration using Artificial Intelligence

Mingmin Zhao*, Kreshnik Hoti*, Hao Wang, Aniruddh Raghu and Dina Katabi
Nature Medicine, 27, 727-735 (2021) / Paper   5-year Impact Factor: 68.31

Making the Invisible Visible: Action Recognition Through Walls and Occlusions

Tianhong Li*, Lijie Fan*, Mingmin Zhao, Yingcheng Liu, and Dina Katabi
ICCV 2019 / Paper / Website / Demo Video

Through-Wall Human Mesh Recovery Using Radio Signals

Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Tianhong Li, Hang Zhao, Antonio Torralba and Dina Katabi
ICCV 2019 / Paper / Website

RF-Based 3D Skeletons
Mingmin Zhao, Yonglong Tian, Hang Zhao, Mohammad Abu Alsheikh, Tianhong Li, Rumen Hristov, Zachary Kabelac, Dina Katabi and Antonio Torralba
ACM SIGCOMM 2018 / Paper / Website / Video / Slides

Through-Wall Human Pose Estimation Using Radio Signals

Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba and Dina Katabi
CVPR 2018 / Paper / Website / Video / Slides / MIT News
Spotlight Presentation

Enabling Identification and Behavioral Sensing in Homes using Radio Reflections

Chen-Yu Hsu, Rumen Hristov, Guang-He Lee, Mingmin Zhao, and Dina Katabi
ACM CHI 2019 / Paper / Website Video

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Dina Katabi and Tommi Jaakkola
AAAI 2019 / Paper / Supp / MIT News

Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture

Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola and Matt Bianchi
ICML 2017 / Paper / Website / Video / Slides / Talk / MIT News / Science Highlight

Emotion Recognition using Wireless Signals

Mingmin Zhao, Fadel Adib and Dina Katabi
ACM MobiCom 2016 / Paper / Website / Video / Slides / MIT News / The Big Bang Theory

VeTrack: Real Time Vehicle Tracking in Uninstrumented Indoor Environments

Mingmin Zhao, Ruipeng Gao, Tao Ye, Fan Ye, Yizhou Wang and Guojie Luo
ACM SenSys 2015 / Paper

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction

Mingmin Zhao, Chengxu Zhuang, Yizhou Wang and Tai Sing Lee
ICLR 2015 / Paper

Jigsaw: Indoor Floor Plan Reconstruction via Mobile Crowdsensing

Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Tao Wang and Xiaoming Li
ACM MobiCom 2014 / Paper

Press Coverage:

Professional Service: