Graduate Student wins IEEE Communications Society & Information Theory Society Joint Paper Award

EECS graduate student Justin Kang has won the IEEE Communications Society & Information Theory Society Joint Paper Award.

Kang and co-author Professor Wei Yu from the University of Toronto were selected for their work on “Minimum Feedback for Collision-Free Scheduling in Massive Random Access.”

Granted annually, the award recognizes outstanding papers at the intersection of communications and information theory published within the previous three years. Papers are selected based on “quality, originality, utility, timeliness, and presentation.”

Kang’s research focuses on machine learning, privacy in learning, and data valuation. He is currently advised by EECS Professor Kannan Ramchandran.