• July 2021- Will serve as a member for the next three years on Program Committee Board for IJCAI.

  • June 2021: Two papers accepted at InterSpeech (top conference in audio signal processing). In one of these papers we aim at doing efficient on-device deep learning for audio sensing applications. Congrats Young!

  • April 2021: Paper based on sign language gesture recognition on earphones using acoustics got into UbiComp.

  • April 2021: Our work on clinical trials from the PAM project has been accepted at Nature's Scientific Reports!

  • April 2021: Our work on efficiently obtaining uncertainty estimates for DNN models on resource-limited devices is accepted at ACM SEC 2021! SEC is an upcoming leading conference for edge computing.

  • March 2021- Serving as a TPC member for InterSpeech, SenSys, IJCAI and PERCOM (Industrial Track) this year.

  • February 2021 - Paper accepted at ICASSP 2021 showing the potential of voice for Covid-19 diagnosis! ICASSP is a premier conference on speech signal processing.

  • January 2021 - Paper on secure authentication on earables using body sounds is accepted at IMWUT for UbiComp.

  • October 2020 - Paper on using continual learning for user authentication is accepted at IMWUT.

  • September 2020 - We won the best paper award at Wellcomp@UbiComp. We designed a chest mounted wearable to measure heart sounds.

  • July 2020 - Our initial work on Covid-19 diagnosis using audio has been accepted at KDD! More details: https://www.covid-19-sounds.org/en

  • February 2020 - Received award from Google to support our research for the next year.

I am a lecturer (aka assistant professor) in the top notch ECS department at the University of Southampton and a visiting researcher at the University of Cambridge. I am looking for PhD students. If you are interested then please look at the Opportunities Tab.

Prior, I was a postdoctoral researcher in Mobile Systems Group with Professor Cecilia Mascolo at the University of Cambridge. I am interested and working on topics that deal with mobile systems, sensing, deep learning and data science in the area of marine, plant, environmental and life sciences (healthcare).

I obtained my PhD 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 in 2018. I was awarded an International TFS from UNSW and Data61 Scholarship to pursue my PhD. I was also associated with LiveLabs @ SMU, Singapore where I worked with Dr. Archan Misra and Dr. Youngki Lee during my internship in 2016-17 on breathing based user authentication. I received my MSc in Computer Science from the University of Saskatchewan, Canada where I was part of the DISCUS lab and worked on simulating big data schedulers.