Designing large neural codes for the next generation of communication systemsPhD candidate Mohammad Vahid Jamali won a Best Paper award at IEEE ICC for his work on Product AutoEncoders, which could help shape future generations of wireless networks, IoT, and autonomous systems.
New grant aims to create better algorithms to manage big data by getting “non-real”Professors Laura Balzano and Hessam Mahdavifar are developing new ways to compress data through randomized algorithms to remove redundancies
Using neural networks and machine learning to design the first universal decoder for the next generation of wireless systemsPhD student Mohammad Vahid Jamali has been awarded a Qualcomm Innovation Fellowship to work on developing a single neural decoder that can decode several channel codes at once.
Hessam Mahdavifar receives CAREER award to empower next gen communication
Mahdavifar is preparing for a future of billions of connected devices and an unprecedented increase in mobile traffic.
Channel Coding for Next Generation 5G and Beyond
With the help of two NSF awards totaling $1.7m, Prof. Hessam Mahdavifar is tackling new problems to improve the reliability of communication systems for 5G and beyond.
ECE welcomes new faculty
These faculty broaden and deepen ECE’s areas of expertise in robotics, ultra low power circuits, nanophotonics, information theory, and many other areas.