The Fellowship can strengthen the existing collaboration link between the Department’s Machine Learning Group and Google.
Thang, who works in the Computational and Biological Learning Lab in the Machine Learning Group, is supervised by Dr Richard Turner. Here they develop algorithms that can automatically understand and process sounds, including speech. These methods can automatically discover interpretable structures in natural sounds, remove noise and other distortions and scale to a large amount of data. “The methods provide a principled way to handle noisy, ambiguous signals, and will potentially play an important role in many recognition and analysis tasks,” Thang said.
A demonstration of some of their work can be found in a video here.
Google created the programme in 2009 to ‘recognize and support outstanding graduate students doing exceptional work in computer science and related disciplines.’ The European programme followed the next year. “This group of students represents the next generation of researchers who will endeavour to solve some of the most interesting challenges in computer science,” the Google Research blog read. “We offer our congratulations and look forward to their future contributions to the research community with high expectation.”
“I’m absolutely thrilled to have received the Fellowship,” Thang said. “Beyond the financial support and mentorship, the Fellowship can strengthen the existing collaboration link between the Department’s Machine Learning Group and Google.”
The Department of Engineering congratulates Thang on his achievement.
Reproduced courtesy of the University of Cambridge, Department of Engineering
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