The University of Southampton

C-IoT Seminar on On-device Learning and Audio Sensing for Healthcare and Biometrics - Event

Date:
7th of July, 2021  @  14:00 - 15:00
Venue:
MS Teams (see description for link)

Event details

​The Centre for Internet of Things and Pervasive Systems is organising a seminar on "On-device learning and audio sensing for healthcare and biometrics" from Dr Jagmohan Chauhan from ECS' CPS Research Group. The event is open to anyone from across the University to attend. 

Abstract: Audio based sensing and AI has a huge potential in healthcare with the availability of cheap microphones and effectiveness of deep learning algorithms. In this talk, I would talk about some of the works i have been doing in this space. My talk would touch on unlocking the potential of audio - non speech and speech-based signals to diagnose covid-19 using AI, design of an earable system which utilizes ultrasound to let people with hearing loss communicate with hearing person (sign language) and developing new algorithms to make deep learning models learn continually on the device efficiently for audio sensing tasks such as emotion recognition and sound classification. ​

​Biography: Jagmohan is a lecturer and member of the CPS Research Group in ECS, interested in topics dealing with mobile health, mobile sensing, security and performance of systems. Previously, he worked at the Univeristy of Cambridge with Cecilia Mascolo in Mobile System Group (2018-2020), and at Aalto University with Dr Tuomas Aura in the Secure Systems Group (2018). He received the PhD degree from the School of Electrical Engineering and Telecommunications, UNSW, Australia and Data61 (CSIRO), Australia under the supervision of Dr. Aruna Seneviratne in the area of usable security. He was awarded an International TFS from UNSW and Data61 Scholarship to pursue his PhD. He was also associated with LiveLabs @ SMU, Singapore, where he worked with Dr. Archan Misra and Dr. Youngki Lee during his internship in 2016-17 on breathing based user authentication.He received the MSc degree in Computer Science from the University of Saskatchewan, Canada where he was part of the DISCUS lab and worked on simulating big data schedulers.

Join via MS Teams using the following link:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZTQwMThlZGYtMzIzMy00MmY1LWFhODgtNjQ5YjIyNGQwMTc5%40thread.v2/0?context=%7b%22Tid%22%3a%224a5378f9-29f4-4d3e-be89-669d03ada9d8%22%2c%22Oid%22%3a%222356434f-03bb-4022-a7f8-ba1fd6e0c5e0%22%7d

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