Suraj Jog

Suraj Jog is a Senior Research Scientist in the Networking Research Group at Microsoft Research, Redmond. He holds a PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), advised by Haitham Hassanieh, and a Bachelor of Technology in Electrical Engineering from IIT Bombay. His research focuses on Wireless Networking, RF Sensing, IoT and Low Power Networks, and Machine Learning. He has contributed to projects like FarmBeats and developed systems such as HawkEye for mmWave imaging. His work spans spectrum efficiency in satellite networks, mmWave beam alignment, and ambient signal utilization for IoT localization.

Notable achievements include the Qualcomm Innovation Fellowship 2020, Third Place in the SIGCOMM 2020 Student Research Competition, and the Joan and Lalit Bahl Fellowship. He serves on editorial boards for IEEE Network Magazine and conference program committees like MobiCom 2023/2024. His research bridges theoretical advancements with practical applications, such as reducing environmental sensing costs by 50x and demonstrating mmWave imaging in foggy conditions.

Advising: No formal advisees listed. Current roles include leadership in the Networking Research Group at Microsoft, and contributions to open-source projects and datasets for radar imaging and mmWave systems.