Mother of ex teenager and Professor of Mobile Systems, @Cambridge_Uni, @Cambridge_CL. Wearable Systems and Health Data. Fellow of @JesusCollegeCam.
Cambridge
Joined March 2009
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Cecilia Mascolo🇪🇺🇬🇧 retweeted
Congratulations to our researchers who just won Best Paper Award at @IEEEPerCom 2025 for their work in repurposing the microphones in our earbuds to collect & analyse vital bodily signs. You can meet the team this Saturday at our @Cambridge_Fest Open Day! shorturl.at/wGaSy
Our work towards respiratory acoustic foundation model is to be presented at NeurIPS24 D&B track. This was an amazing effort by @EveYuwei and @TongXia9 (with collaborators). This work will be useful for downstream tasks with limited data. Blog opera-benchmark.github.io/bl…
Please donate: this a friend of my daughter. An impossible situation which needs a lot of support. justgiving.com/page/sebastia…
The next Jesus College Cambridge Computer Science Alumni Dinner is on 25th January 2025. The speaker will be Josh Bambrick on "AI driven drug design".
All computer science alumni and present members of the college can register here: jesus.cam.ac.uk/events/compu…
This mobile app study aims to collect data of respiratory tract infections progression through "respiratory" sounds. Please do participate if and when you have a cold or similar!
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On Tuesday 29th the seminar of the Mobile and Wearable Health series is given by @aaqib_saeed on "Self-Supervised Learning, Unified Sensing & Beyond" at 4pm GMT in FW11 (and online): talks.cam.ac.uk/talk/index/2… Do come along.
The next Mobile and Wearable Health Seminar is given virtually by Jessilyn Dunn "The Digital Physiome: Wearables for Disease Detection and Monitoring". join us on Tuesday 15th 4pm UK time! talks.cam.ac.uk/talk/index/2…
Cecilia Mascolo🇪🇺🇬🇧 retweeted
Spreading the word. The call for papers for MobySys 2025 is out. The PC co-chairs (Przemysław Pawełczak & Swarun Kumar) were thoughtful about including new topics and refining the selection process. Please take a look and submit your best work.
sigmobile.org/mobisys/2025/c…
Our Mobile and Wearable Health Seminar series is restarting in a couple of weeks with an amazing line up!
check it out here: talks.cam.ac.uk/show/index/1…
Also some recordings from previous talks here: mobile-systems.cl.cam.ac.uk/…
Had a very good time giving a talk on wearable AI and health and fitness and meeting this cohort of amazing people! Thanks again @aiden1doherty for the invitation!
Interested in learning more about wearables in large-scale biomedical studies?
We're running a residential short course from 22 - 26 September at Oxford
Includes: inspirational speakers, great tutors, and hands-on data analysis.
conted.ox.ac.uk/courses/mach…
Cecilia Mascolo🇪🇺🇬🇧 retweeted
Thanks to Donald Trump, Apple’s new AirPods will make America hear again | John Naughton theguardian.com/commentisfre…
Amazing sensing innovation coming to market: bringing hearing aids to commodity devices!
Apple says that AirPods Pro 2, its latest wireless earbuds, can be used as clinical-grade hearing aids. This feature hasn’t been FDA-cleared, however — although the company says that it expects approval “soon.”
The feature, when enabled, boosts specific sounds in real-time, like parts of speech or elements of an environment.
The hearing aid feature for AirPods Pro 2 will launch this fall via a software update in over 100 countries and regions.
Cecilia Mascolo🇪🇺🇬🇧 retweeted
There is still time to submit to our #SenSys workshop! Submit your work and join the discussion on human-centric multi-device systems! See below 👇
🚀 The submission deadline for the #HumanSys24 Workshop (in conjunction with ACM SenSys24 @AcmSensys @sensys_acm) has been extended to September 25th, 2024, 23:59 AOE! #SenSys24 #ACM #DeadlineExtension
Details: humansys-workshop.github.io/
We have opened an Assistant/Associate Professorship in Wearable Computing @Cambridge_CL @Cambridge_Uni Please share widely and/or apply!
jobs.cam.ac.uk/job/46654/ Deadline 24 November 2024.
Reflecting on the acronyms I invented for funded and unfunded grant proposals over the years: I had some very good ones (especially the unfunded ones): there was for example one called AHEAD which ranked quite low...;) I can go on...
Cecilia Mascolo🇪🇺🇬🇧 retweeted
TinyTrain allows *learning* not just inference to be performed on MCUs in a compute-, memory- and data-efficient manner! Young and other co-authors are at #ICML2024, reach out to chat.
TinyTrain work by @YoungDKwon1, @ruiruiliii, @SIVenieris, @jag_jagmohan, @niclane7 and @cecim
Cecilia Mascolo🇪🇺🇬🇧 retweeted
Hi All, I’ll be attending @icmlconf this week. Message me if you'd like to chat about efficient ML, on-device training, or efficient diffusion modelling.
Also, feel free to pass by our work:
- (Tue 1:30-3:00 pm CEST) TinyTrain: arxiv.org/abs/2307.09988
See you all in Vienna!😆😆
Our paper "TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge" is presented tomorrow at @icmlconf 12.30 poster session 2 by @YoungDKwon1. You can also find the paper here proceedings.mlr.press/v235/k…