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