With over 50 patents, Chunjie is a recognized innovator in wireless and location technologies, founding Redpoint Positioning based on groundbreaking applied algorithms and new approaches to RFID. Prior to Redpoint, Chunjie was a Senior Principal Research Scientist at Mitsubishi Electric Research Labs, representing Mitsubishi Electric in multiple international standard bodies and is a recipient of Mitsubishi’s President’s Award. He has held senior engineering positions at Ericsson, Qualcomm and Alcatel. Chunjie has a PhD in Electrical Engineering from the University of Colorado and is a senior member of IEEE.
Mr. Pekhteryev has over 20 years of experience in software development for wireless communication systems and digital networks. Prior to joining Redpoint Positioning, he was with Mitsubishi Electric Research Labs and led the development of multiple projects, including Voice/Image over Zigbee, Location Centric Networks, and the DLNA standard. Over the course of his career, he has worked as a software consultant for a number of companies, developing a broad range of technologies and products, including financial/accounting, warehouse management, and health monitoring systems. Georgiy holds a MSc degree in System Engineering from Kharkiv Aviation Institute, Ukraine.
In this role, Eric works closely with RTLS integrators leveraging Redpoint technical capabilities in diverse verticals such as warehousing/material handling, advanced manufacturing, healthcare, energy, and construction. As a veteran of the wireless industry, Eric has deep experience designing RTLS/RFID projects from the ground up followed by disciplined implementation that is results driven. Eric is committed to the Redpoint vision of making RTLS adoption painless and cost-effective as we scale globally.
Eric’s graduate training is in physics where he received advanced degrees from the University of Virginia. He continues to serve on several National Institutes of Health sub-committees and performs sponsored research bringing IoT advances to issues of public health and welfare such as wearable, smart hospitals, and data mining in healthcare.