EE Student and Faculty Groups Win NYC Media Lab Grand Prize Overall and Enabling Technology Awards

NYC Media Lab ’19 featured a Demo Expo and Startup Pavilion — a showcase of 100 emerging media and technology prototypes created by faculty and students across the City. Demo participants are presenting their startups, research, and prototypes to a crowd of more than 1,000 attendees, including thought leaders and fellow technologists from leading digital media, technology, and communications companies.

The EE department was represented by a number of students and faculty members.

EE PhD students Hassan Akbari, Bahar Khalighinejad and EE Professor Nima Mesgarani won the Grand Prize Overall for their project: Reconstructing Intelligible Speech from the Human Brain, which focuses on brain signals of subjects listening to speech with invasive electrodes, and shows intelligible reconstruction of speech from the neural responses.

EE PhD student Craig Gutterman, Engineering undergraduate students Trey Gilliland and Sarthak Arora, Katherine Guo, Xiaoyang Wang, and Les Wu of Bell Labs, and EE Professors Ethan Katz-Bassett and Gil Zussman received the top award in Enabling Technology for their project “Requet: Real-Time QoE Detection for Encrypted YouTube Traffic”. The project focuses on the fact that as video traffic dominates the Internet, operators need to detect video Quality of Experience (QoE) to ensure video traffic support. However, with deployment of end-to-end encryption, network packet-based detection is becoming ineffective. To resolve this issue, Requet enables real-time QoE metric detection for encrypted video traffic using machine learning. The system was presented in ACM MMSyS’19 and the Media Lab demonstration included very recent results by Trey and Craig. 

Original article here.


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