I am a
Full Professor of
Mobile Systems in the
Department
of Computer Science
and Technology and
I head the Mobile
Systems Research
Laboratory.
I am also a director
for the Centre
for Mobile, Wearable
Systems and Augmented
Intelligence. My
interests are in the
study of mobile
systems, the learning
from their data
offline and on device
and their
applications,
especially in terms of
mobile health. I hold
an ERC Advanced
Research Grant (2019-2024).
News
I am looking for
PhD Students on
Hearable Computing:
here
is the advert for a studentship!.
"RELOAD:
REspiratory
disease
progression
through
LOngitudinal
audio Data
machine
learning."
funded through
UKRI AI for
Health
.
An ERC Proof of
Concept grant was
awarded to my team
for our work on
hearables for health.
I have delivered
a keynote speech at
ICDCS23 in Hong Kong
Ex PhD Student
Andrea Ferlini
won the 2023 ACM SIGMOBILE Doctoral Dissertation Runner-up Award!
My podcast on
Mobile Health can be
found in series.
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study is out.
Our paper
Machine Learning
Detects Altered
Spatial Navigation
Features in Outdoor
Behaviour of
Alzheimer’s Disease
Patients won the
Computer Laboratory
Ring Hall of Fame
Best Paper Award!
I have given the
inaugural
talk in the new
Imperial-X seminar series.
We have
organized this event
on Using
Mobiles and
Wearables for Public
Health. My talk
for it is here.
Finished
teaching a new,
first of its kind,
Mobile
Health course: slides and
videos
available!
We have a
seminar series
on Mobile
and Wearable Health:
all welcome online
and in person!
Our paper on
Motion-resilient
Heart Rate
Monitoring with
In-ear Microphones
was accepted at
Percom 2023!
Read about our work on VO2Max
estimation with wearables in
free living context here. Paper
here.
I have delivered a
talk at the Royal
Society event on
Innovation in
Sport.
Our paper
Exploring
Longitudinal Cough,
Breath, and Voice
Data for COVID-19
Progression
Prediction via
Sequential Deep
Learning: Model
Development and
Validation is out
in JMIR and covered
in
this blog post.
Our Covid Sounds
Work won the
Department's Better
Future Award this
year! Coverage here.
Our paper "Sounds of COVID-19: exploring realistic performance of audio-based digital testing"
publshed in Npj
Digital Medicine is
covered in this blog post
My University of
Oxford Strachey
Lecture talk can be
found here.
Our paper
on On-Device Emotion
Recognition won the
10-Year Impact Award
at ACM
Ubicomp!
