
Nhat PhamCardiff University | CU · School of Computer Science and Informatics
Nhat Pham
Doctor of Philosophy
About
24
Publications
7,078
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198
Citations
Citations since 2017
Introduction
I am an academic at the School of Computer Science and Informatics, Cardiff University, UK. My research interests include Intelligent Cyber-Physical Systems, Human-based Sensing, and Edge-AI for Healthcare. Before joining Cardiff University, I obtained my DPhil (PhD) from the University of Oxford in 2023 and also worked as a postdoctoral researcher on the EPSRC ACE-OPS project from 2022 to 2023.
Additional affiliations
March 2016 - present
Publications
Publications (24)
Various intervention therapies ranging from pharmaceutical to hi-tech tailored solutions have been available to treat difficulty in falling asleep commonly caused by insomnia in modern life. However, current techniques largely remain ill-suited, ineffective, and unreliable due to their lack of precise real-time sleep tracking, in-time feedback on t...
We present a low-maintenance, wind-powered, battery-free, biocompatible, tree wearable, and intelligent sensing system, namely IoTree , to monitor water and nutrient levels inside a living tree. IoTree system includes tiny-size, biocompatible, and implantable sensors that continuously measure the impedance variations inside the living tree's xylem....
We present a low-maintenance, wind-powered, batteryfree, biocompatible, tree wearable, and intelligent sensing system , namely IoTree, to monitor water and nutrient levels inside a living tree. IoTree system includes tiny-size, biocompatible, and implantable sensors that continuously measure the impedance variations inside the living tree’s xylem,...
Frequent blood pressure monitoring is the key to diagnosis and treatments of many severe diseases. However, the conventional ambulatory methods require patients to carry a blood pressure (BP) monitoring device for 24 h and conduct the measurement every 10--15 min. Despite their extensive usage, wearing the wrist/arm-based BP monitoring device for a...
Every year, the U.S. economy loses more than $411 billion because of work performance reduction, injuries, and traffic accidents caused by microsleep. To mitigate microsleeps consequences, an unobtrusive, reliable, and socially acceptable microsleep detection solution throughout the day, every day is required. Unfortunately, existing solutions do n...
One-fourths of the patients have medication-resistant seizures and require seizure detection and treatment continuously to cope with sudden seizures. Seizures can be detected by monitoring the brain and muscle activities, heart rate, oxygen level, artificial sounds, or visual signatures through EEG, EMG, ECG, motion, or audio/video recording on the...
Diagnosing hypertension or hemodialysis requires patients to carry a blood pressure (BP) monitoring device for 24 hours. Th erefore, wearing the wrist/arm-based BP monitoring device, in this case, has a signifi cant impact on users' daily activities. To address the problem, we developed eBP, an ear-worn device that measures blood pressure from insi...
Cognitive state monitoring is crucial for neurological disorders such as epilepsy, narcolepsy, insomnia, and many other human health concerns. The capability to continuously monitor an individual wearing the device and accurately provide early warnings of seizures or narcolepsy sleep attacks would be game-changing for these disorders. Beyond human...
Frequent blood pressure (BP) assessment is key to the diagnosis and treatment of many severe diseases, such as heart failure, kidney failure, hypertension, and hemodialysis. Current "gold-standard'' BP measurement techniques require the complete blockage of blood flow, which causes discomfort and disruption to normal activity when the assessment is...
Presentation of GS1 smart parking paper at 2017 IEEE International Conference on Services Computing, Hawaii, USA, June 2017.
Presentation file at 2015 International Conference on Advanced Computing and Applications (ACOMP), Ho Chi Minh City, Vietnam, Nov. 2015.
With the increase in the number of cars in big cities, it has become a nightmare for car owners to find available parking spaces. Some studies report that around 25-30% traffic on the roads are cars finding available spaces for parking. While many researches have been conducted to create a smart parking system, most of them only focus on some parti...