BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Enabling efficient and intelligent embedded systems for the next g eneration of human healthcare and well-being - Nhat (Nick) Pham\, Universi ty of Cardiff DTSTART:20241126T160000Z DTEND:20241126T170000Z UID:TALK219097@talks.cam.ac.uk CONTACT:Cecilia Mascolo DESCRIPTION:*Abstract:* The wearable market has experienced significant gr owth in recent years\, reaching over $186 billion globally by 2030. Howeve r\, embedded computers on these wearables are not as smart as they should be. Due to energy and computational resource constraints\, they rely heavi ly on off-load devices (e.g.\, mobile phones\, cloud servers)\, which has proved to be fatal for many applications. On the other hand\, the human br ain is the most efficient computer in the world. It consists of trillions of neurons while consuming less energy than a light bulb. In the near futu re\, there will be hundreds of intelligent devices that invisibly weave th emselves into the fabrics of everyday wearables (e.g.\, clothes\, hats\, e yeglasses\, earphones\, shoes\, etc.)\, providing us with tremendous infor mation about our bodies. They can even monitor and modulate our biological processes to enhance healthcare and well-being. So\, how can we learn fro m our own brains to design smarter and more efficient embedded computers t o improve healthcare and well-being? In this talk\, we will dive deeper in to the main challenges and current progress to enable this vision. First\, similar to how the five senses provide sensory inputs to the brain\, we w ill discuss how we can develop new biosensing methods to collect various i nformation from our bodies\, which need to be both socially acceptable and robust in everyday usage. Second\, we will talk about how to enable effic ient embedded intelligence of the captured biosignals on resource-constrai ned wearables. Third\, our brain does not need to carry a battery as the h uman body is already a mobile energy source. So\, how can we take advantag e of the energy from our bodies and surrounding environment to make the we arables truly invisible? Finally\, we will highlight some healthcare appli cations that have been conducted with our developed technologies and the p otential for the future.\n\n \n\n*Bio:*\nDr Pham leads the Agile Cyber-Phy sical Systems lab at the School of Computer Science and Informatics\, Card iff University\, UK. He is a member of the larger Cardiff IoT and Human-Ce ntred Computing sections and also the current Deputy Director of IT Infras tructure and Technical Support for the School of Computer Science and Info rmatics. His research interests include Intelligent and Efficient Cyber-Ph ysical Systems\, Human-based Sensing\, Edge-AI and On-chip Intelligence. B efore joining Cardiff University\, he obtained my DPhil (PhD) with his res earch on intelligent head-worn physiological sensing wearables\, fully fun ded by the University of Oxford DPhil Scholarship. He also worked as a pos tdoctoral researcher on the EPSRC ACE-OPS project in the same department f rom 2022 to 2023. His research has been recognised by Oxford University's nominee for ACM SIGMOBILE Dissertation Award'24\, Communication of the AC M Research Highlight'21\, ACM SIGMOBILE Research Highlight'20\, ACM GetMob ile'19 Research Highlight\, and the Best Paper at ACM MobiCom'19. He helpe d to spin off a tech startup (Earable Neuroscience Inc) and produced multi ple international patents. His group’s work has been featured in several press articles from Bloomberg\, BBC News\, DailyMail\, Euronews\, etc. He is currently leading several funded projects from EPSRC\, the Royal Socie ty\, Global Wales\, the Academy of Medical Science\, the British Academy\, the Royal Academy of Engineering\, and the Alan Turing Institute\, and is also recognised as a GW4 future research leader of the Southwest and Wale s.\n\n LOCATION:Computer Lab\, SS03 and Online END:VEVENT END:VCALENDAR