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UW AI researcher wins top Marconi award and aims to put β€˜superhuman hearing’ in billions of devices

28 August 2026 at 12:52
Malek Itani, a Ph.D. student in the UW’s Paul G. Allen School of Computer Science & Engineering. (Photo courtesy of Malek Itani)

University of Washington Ph.D. student Malek Itani, who co-founded the AI-powered sound enhancement startup Hearvana, has been awarded the prestigious Marconi Society Paul Baran Young Scholar Award for his groundbreaking work in β€œsuperhuman” hearing technology.

Selected as one of just three global recipients from a record pool of nominees, Itani was recognized for developing on-device AI algorithms that enable real-time target speech extraction, β€œsound bubbles,” and semantic hearing on low-power hearables like earbuds and hearing aids.

Itani’s award comes less than a year after he and Paul G. Allen School of Computer Science & Engineering professor Shyam Gollakota co-founded Hearvana, a spinout aimed at commercializing their lab discoveries. The startup raised $6 million in pre-seed funding last fall to bring on-device acoustic intelligence to earbuds, hearing aids, and smart glasses.

By packing tiny, real-time neural networks onto low-power chips, the researchers hope to replace blunt noise cancellation with true semantic hearing β€” allowing users to filter out city traffic, amplify a single companion’s voice in a crowded room, or create a localized β€œsound bubble” on demand.

Itani’s work in the UW Mobile Intelligence Lab began with β€œacoustic swarms” β€” small, self-distributing robotic microphones that track and separate multiple speakers in a room. He and his collaborators then pivoted to personal audio devices, pioneering neural networks like IF-MLPNet and platforms like NeuralAids. These systems allow complex AI models to handle real-time sound separation directly on low-power wireless hearables without relying on heavy cloud compute or draining battery life.

β€œMalek has been a key part of every major contribution to the field of superhuman hearing in recent years,” Gollakota told the Allen School Blog. β€œHe entered his Ph.D. with a background in RF and backscatter, but he rapidly mastered audio signal processing and deep learning, which is very impressive.”

β€œI feel like I’ve hit a niche that’s going to be so transformational, and it’s going to be in billions of devices,” Itani said. β€œIt’s going to change the way we hear the world.”

Itani and his fellow Young Scholars will be formally recognized at the Marconi Awards Gala in San Francisco this November.

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