Nhan Duy Truong

The University of Sydney — Australia

Neuroscience · Life Sciences

15h-index1.4kcitations60works5.82yr avg
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Research Topics

EEG and Brain-Computer Interfaces(38), Epilepsy research and treatment(20), ECG Monitoring and Analysis(14), Advanced Memory and Neural Computing(12), Blind Source Separation Techniques(11)

Publications60 total

A Wireless Power Transfer System for Leadless Endovascular Electrocorticography
2025Open Access
Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models
Machine Learning Science and Technology·2025· 3 citedOpen Access
Beyond Pairwise Plasticity: Group-Level Spike Synchrony Facilitates Efficient Learning in Spiking Neural Networks
SSRN Electronic Journal·2025Open Access
A leadless power transfer and wireless telemetry solutions for an endovascular electrocorticography
Journal of Neural Engineering·2024· 2 citedOpen Access
Neuromorphic neuromodulation: Towards the next generation of closed-loop neurostimulation
PNAS Nexus·2024· 15 citedOpen Access
Advancing Privacy-Aware Machine Learning on Sensitive Data via Edge-Based Continual <i>µ</i> -Training for Personalized Large Models
2024Open Access
A leadless power transfer and wireless telemetry solutions for an endovascular electrocorticography
arXiv (Cornell University)·2024Open Access
Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing unit
APL Machine Learning·2024· 7 citedOpen Access
On-device edge-learning for cardiac abnormality detection using a bio-inspired and spiking shallow network
APL Machine Learning·2024· 5 citedOpen Access
Efficient Edge-AI Models for Robust ECG Abnormality Detection on Resource-Constrained Hardware
Journal of Cardiovascular Translational Research·2024· 18 citedOpen Access
Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism
Future Cardiology·2024· 7 citedOpen Access
S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification
Cardiovascular Engineering and Technology·2024· 12 citedOpen Access
Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing units
2023Open Access
On-device edge-learning for cardiac abnormality detection using a bio-inspired and spiking shallow network
2023· 2 citedOpen Access
Efficient Edge-AI Models for Robust ECG Abnormality Detection on Resource-Constrained Hardware
2023· 8 citedOpen Access
Neuromorphic Neuromodulation: Towards the next generation of on-device AI-revolution in electroceuticals
arXiv (Cornell University)·2023· 8 citedOpen Access
Generalization Challenges in ECG Deep Learning: Insights from Dataset Characteristics and Attention Mechanism
2023· 15 citedOpen Access
S4D-ECG: A shallow state-of-the-art model for cardiac abnormality classification
2023· 8 citedOpen Access
Seizure detection with reduced electroencephalogram channels: research trends and outlook
Royal Society Open Science·2023· 17 citedOpen Access
A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology
Journal of Neural Engineering·2023· 10 citedOpen Access
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Frequent Co-authors

Omid Kavehei(47), Armin Nikpour(32), Yikai Yang(13), Zhaojing Huang(12), Luis Fernando Herbozo Contreras(10), Christina Maher(9), Levin Kuhlmann(7), Jason K. Eshraghian(7), Mohammad Reza Bonyadi(6), Jiawei Yang(6), Leping Yu(5), Zhangyu Xu(5), Leping Yu(5), Samuel J. Ippolito(4), Arman Ahnood(4), Luping Zhou(3), Jing Yan Haw(3), Syed M. Assad(3), Ping Koy Lam(3), Jeeson Kim(3)