Nov. 2022 - Won prestigious New Investigator Award (EPSRC > half a million pounds).
Sept. 2022 - I am serving as a publicity chair (Europe) for IPSN 2023.
July 2022 - Paper accepted to ACM MultiMedia (top conference). I am now a Fellow of HEA.
May 2022 -Paper accepted on doing few shot learning on-device at EUSPICO. Serving in TPC for MobiQuitous.
April 2022- Our work on longitudinal Covid-19 disease tracking is accepted at Journal of Medical Internet Research - JMIR. Received Cambridge Ring Hall of Fame Better Future Award for our Covid-19 work!
March 2022- Serving as a Finance Chair for MobiCom 2022 and as a TPC member for Intelligent Acoustic Systems and Applications @ MobiSys, Mobile and Wireless Sensing for Smart Healthcare @MobiCom and SmartWear @MobiCom. Also, Paper accepted at IPSN, a premier conference on networked sensing and control; systems.
Feb 2022- Granted pump priming funding to investigate methods that can be an alternative to traditional spirometry tests in respiratory medicine.
Jan. 2022- Paper on training DNNs on mobile GPUs is accepted at PerFail@PerCom 2022.
2022- Will serve as a publication chair for IPSN and as a TPC in IJCAI, InterSpeech, PERCOM (Industrial Track) and MetaBuild@IEEE Virtual Reality conference.
2021- We received best paper award at ACM/IEE Symposium on Edge Computing. Papers accepted in Nature's Digital Medicine, NeurIPS, IMWUT, ICASSP, InterSpeech, Nature's Scientific Reports and ACM/IEE Symposium on Edge Computing. These are some of the top conferences/journals in healthcare, ML, systems and signal processing. Serving in TPC for InterSpeech, SenSys, IJCAI and PERCOM (Industrial Track) and PerHealth.
2020 - We won the best paper award at Wellcomp@UbiComp. We designed a chest mounted wearable to measure heart sounds. Also, got papers in KDD (top conference in data science) and IMWUT (top conference/journal in ubiquitous computing systems). Got funding from Google for our research on continual learning.
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 also a member of International Centre for Spatial Computational Learning and Institute of Life Sciences.
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 optimizing embedded machine learning (TinyML), machine learning for health, and designing mobile/ubiquitous computing systems using commodity sensing (mainly acoustics) for 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.