Check out our new #OpenAccess paper in #RSCSustainability by Laurance Papale et al. on sustainable low temperature carrier gas-free growth of graphene on non-catalytic substrates #Sustainability โ https://t.co/K7RY1F83Xg
New invited review paper "Towards Non-Invasive and
Continuous Blood Pressure Monitoring in Neonatal Intensive Care Using AI" is out now! Great to collaborate with some colleagues in medicine on this one: https://t.co/VCqoHfgdak
The paper begins by exploring #ExplainableAI and #ResponsibleAI separately, before examining how explainability can support all key characteristics of responsibility. This work is currently under review and we are eagerly awaiting first decision.
Our manuscript on using explainable AI to support responsible AI is now on arXiv. Written to be accessible for all interested in AI, and filled with tools & research directions for improving AI responsibility. https://t.co/7dH0tQL7cy #ArtificialIntelligence#XAI#ResponsibleAI
Happy to share that our paper "The 2023 Wearable Photoplethysmography Roadmap" is now published OA in Physiological Measurement: https://t.co/NQVCz4cjbb. I collaborated with over 50 other experts to explore the potential of wearable PPG and outline directions for future research.
Acute kidney injury (AKI) occurs in up to 50% of babies born <29 weeks gestation, but no effective prediction tool exists. Ahead of our own work using AI to develop such a tool, we recently reviewed the state of AKI & potential of AI in neonatal medicine: https://t.co/GTAEfDiv7N
Recently I branched out from people health into planet health, working w/ Geoscience Australia to build an #AI system for gapfilling cloudy sea surface temperature images. Our paper was published in IEEE TGRS in May, but I haven't been on here to share! https://t.co/y4sK7bmPx6
Whatโs beneath the clouds: #JCUโs Dr Stephanie Baker (@EngoSteph) shares what she loves about AI and how she mastered the challenges of calculating whatโs happening across an ocean partially obscured by clouds. #research https://t.co/PfOxaClp6e
[COMST Survey] Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Healthcare systems are under increasing strain due to a myriad of factors, ranging from a steadily ageing global population tโฆhttps://t.co/6hrctnjEkn
[COMST Survey] Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Healthcare systems are under increasing strain due to a myriad of factors, ranging from a steadily ageing global population tโฆhttps://t.co/6hrctnjEkn
Very happy to share that our new paper "Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities" is out now for early access at @IEEECOMST! Extremely proud to contribute to this excellent journal ๐ฅณhttps://t.co/qQJ2bwedpG
My wonderful students have started a Movember team to raise funds for men's mental health. I was keen to get involved when asked, so due to my lack of mo' I agreed to dye my hair purple for Mauvember instead. Our team is collecting donations here: https://t.co/VQRRnErAJA
Fun morning at the Cairns Careers Expo helping high schoolers find their dream careers.
With just a dash of me enjoying my dream career ๐ ๐ฆธโโ๏ธ
Thrilled and grateful to have received the Dean's Award for my PhD research. A wonderful way to conclude my PhD journey. Thank you to all involved with nominating and selecting me for this award! @JCU_GRS@jcu
Had a fantastic time hosting JCU's first Alumni in IoT evening last week. A very valuable evening of talks and networking for our current students as they figure out their career paths ๐
And a great opportunity to catch up with my old classmates and former students!
New article out now - free to read until July 24! ๐ฅณHere we found that blood pressure can be measured using simple features of heart activity waveforms - creating a fast & lightweight machine learning algorithm suitable for wearable devices! @comp_science
https://t.co/AKLvqAcQPe
New article out now! ๐ read our new systematic review on how machine learning is being used to predict neurodevelopmental outcomes in babies born preterm, available open-access from @Ped_Research -> https://t.co/aC9GEfX39J