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Hessam Mahdavifar

Designing large neural codes for the next generation of communication systems

PhD 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
October 4, 2021

“Get non-Real”: Department of Energy grant funds novel research in High-Performance Algorithms at U-M

The Michigan Institute for Computational Discovery and Engineering (MICDE) features research led by Prof. Laura Balzano and Prof. Hessam Mahdavifar that will help revolutionize the data processing pipeline with state-of-the-art algorithms to optimize the collection and processing of any kind of data.

Using neural networks and machine learning to design the first universal decoder for the next generation of wireless systems

PhD 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.