Daniel Uvaydov, PhD, is a Senior Engineer at Qualcomm, specializing in wireless systems and AI/ML. They earned a B.S. in Electrical Engineering from the University at Buffalo in 2018, where they conducted research on Intra-body Optical Communications and 5G Communications Testbeds under Professor Josep M. Jornet. Currently, they are a PhD candidate at Northeastern University and a research assistant in the WiNES lab, focusing on Intra-body Wireless Networks and Embedded Deep Learning for the Internet of Things and Internet of Medical-Things. Daniel's previous experience includes roles at Bionet Sonar and the Institute for the Wireless Internet of Things, where they contributed to various projects in wireless communications and embedded software development.
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