Pei Zhang is an associate research professor in the Electrical and Computer Engineering and Information Networking Institute departments at Carnegie Mellon University. He received his bachelor’s degree with honors from the California Institute of Technology in 2002, and his Ph.D. in Electrical Engineering from Princeton University in 2008. While at Princeton University, he developed the ZebraNet system, which is used to track zebras in Kenya. It was the first deployed, wireless, ad- hoc, mobile sensor network. His recent work includes SensorFly (focused on groups of autonomous miniature-helicopter based sensor nodes) and MARS (Muscle Activity Recognition).

Beyond research publications, Zhang’s work has been featured on popular media including CNN, The Science Channel, Discovery Channel, CBS News, CNET, Popular Science, and BBC Focus. He is also a cofounder of the startup Vibradotech. In addition, he has won several awards including the NSF CAREER Award and Edith and Martin B. Stein Solar Energy Innovation Award, and is a member of the Department of Defense Computer Science Studies Panel.

222 Building 23
Diana Leathers
Google Scholar
Pei Zhang
Pei Zhang’s website

Occupant Tracking Through Floor-Mounted Sensors

Sensing the Physical Environment: Four Examples of Inferring Data with Sensor Technology

Sensing the Physical Environment: Preventing Falls in the Elderly


2008 Ph.D., Computer Engineering, Princeton University

2004 Master of Engineering, Computer Engineering, Princeton University

2002 BS, Electrical Engineering, California Institute of Technology

Media mentions

CMU Engineering

Building smart cities with taxis

Pei Zhang has turned a fleet of taxis into a mobile sensing platform to collect data required to develop applications for a smart city.

Scientific American

Zhang featured in Scientific American

ECE’s Pei Zhang was featured in Scientific American for developing sensors that analyze footsteps by measuring floor vibrations

CMU Engineering

Feet beyond fiction

Carnegie Mellon’s Pei Zhang is part of a team blurring the line between science and magic with a footstep-sensing invention inspired by Harry Potter’s Marauder’s Map.

CMU Engineering

CMKL Tech Summit 2019 on AI for a Sustainable Future

On December 16, 2019, CMKL University held its third tech summit in Bangkok, Thailand, on the topic of AI for a sustainable future.

Civil & Environmental Engineering

Bergés, Noh, and Zhang monitor cognitive decline with sensors

CEE’s Mario Bergés and Hae Young Noh and ECE’s Pei Zhang want to use sensors to improve early diagnosis of cognitive decline. By sensing electricity consumption and floor vibration patterns, they can tell the difference between confusion and proficiency in daily tasks. They may be able to use this data to detect warning signs and establish early treatment.

CMU Engineering

Detecting good vibrations, with pigs

CEE and ECE researchers use vibrational sensors to detect sick pigs and improve farm efficiency.

Electrical and Computer Engineering

Jun Han pairing Iot devices by sensors

CyLab’s Jun Han discusses his research in determining how IoT devices can pair through sensing the same events in an environment.

CMU Engineering

Footsteps to preventing falls

These sensors developed by researchers at Carnegie Mellon predict when a patient will fall.

CMU Silicon Valley

Zhang and Noh honored at international conferences

CMU-SV/ECE’s Pei Zhang and CEE’s Hae Young Noh and their students received honors for their work while at the SenSys and BuildSys conferences in Delft, the Netherlands.

CMU Engineering

Pei Zhang receives ACM SenSys Test of Time Award

Professor Pei Zhang was recognized at the ​15th Association for Computing Machinery (ACM) Conference on Embedded Networked Sensor Systems (SenSys 2017) for his pioneering work in mobile sensor networks.

Zhang receives Test of Time Award 2017

ECE/INI associate research professor Pei Zhang recently received the ACM SenSys Test of Time Award (ToTA) 2017 for his 2004 research paper, “Hardware design experiences in ZebraNet.”

CMU Engineering

The muscle suit

Thanks to CMU-SV Professor Pei Zhang, the modern athlete now has access to the newest advancement in performance enhancing technology: data.