卡迪夫大学PhD positions in enabling distributedly self-powered wearables for mobile healthcare applications申请条件要求-申请方
Organizer
Cardiff University
Description
About the Project
The School of Computer Science and Informatics at Cardiff University are delighted to offer fully funded EPSRC studentships starting in October 2024.
Project summary:
The wearable market experiences significant growth in recent years, reaching over $186 billion globally by 2030. Soon, there could be hundreds of intelligent devices that “invisibility” weave themselves into the fabrics of everyday wearables (e.g., clothes, hats, eyeglasses, earphones, shoes, etc.), providing us with tremendous information about our health and well-being. To enable this massive number of wearable devices, frequent battery charging is not practical. The human body and the surrounding environment contain a vast amount of energy that has potential to be harvested. Current state-of-the-art self-powered wearables in the literature are focused locally on a single device/location, leading to insufficient energy and inadequate biosignal quality for many healthcare applications. Thus, we propose a novel distributedly self-powered with energy harvested from multiple sources (e.g., kinetic energy from limbs, heat from body trunks, etc.) and transferred to various sensing devices (e.g., head (EEG/EOG/EMG), heart (EKG), fingers (EDA), etc.) through the human body.
Aims: In this project, we have the following objectives.
(1) Explore methods to efficiently harvest energy from multiple sources such as kinetic activities, body heat, chemical reactions, or electromagnetic radiations.
(2) Investigate a low-loss, multi-point propagation technique to transfer harvested energy from multiple harvesting locations to various sensing places on the human body. Such capability will fundamentally change the way we harvest energy from human body and the research landscape of wearable design.
(3) Devise an intermittent tasks management algorithm to handle multiple unreliable power sources while providing the ability to run advanced processing and machine learning.
(4) Develop a prototype and evaluate the developed system on healthcare applications, e.g., epileptic seizure monitoring, to study the usability of the proposed solution.
Research environment: The student will be supervised by a team of experts in cyber-physical systems, human-based sensing, and material fabrication. This work is built upon the highly recognised step-changing previous work conducted by the lead supervisor, who has been awarded the best paper award in MobiCom’19 as well as several other subsequent publications in MobiCom, MobiSys, SenSys, and IEEE Transactions. His work has been highlighted in ACM SIGMOBILE, Communication of the ACM, and ACM GetMobile research highlights.
Training and Development Opportunities: The studentship will enable the student opportunities to work with experts in the field of computer science and engineering, who have a track record of publishing in high-quality conference and journal articles, and on an exciting research direction that could bring immediate positive impact on human lives. The student will join the new vibrant CardiffIoT (Link ( https://www.cardiffiot.org/ )) group with 24 PhD students and 4 postdocs, which enables wide range of collaboration opportunities and peer support and networking. They also collaborate with experts not only within Cardiff University but also in Oxford, Cambridge, University of Massachusetts at Amherst (US), University of Colorado at Boulder (US), and Monash University (Australia), which helps to broaden their research network and future career.
Contact for information on the project: Dr Nhat (Nick) Pham (phamn@cardiff.ac.uk)
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Honors
Funding Notes
This project is fully funded through the ESPRC Doctoral Training Partnership program.
100% tuition fee rates and a stipend matching the UKRI minimum provided (UKRI rate is £18,668, tax-free, for 2023/24).
NOTE FOR OVERSEAS APPLICANTS - Overseas students are welcome to apply and 30% of the whole DTP cohort will be covered for international students. The funding for international students will be allocated on a first-come first-serve basis, so please submit your applications early.
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Requirements
Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.
Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
How to register
Contact
Email：COMSC-PGR@cardiff.ac.uk
Professor
Dr Nhat (Nick) Pham
Email：phamn@cardiff.ac.uk
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