☰ Neurotree

Omid Kavehei, Ph.D.

Affiliations:	2011-2014	Centre for Neural Engineering	University of Melbourne, Parkville, Victoria, Australia
	2014-2017	School of Electronic and Electrical Engineering	Royal Melbourne Institute of Technology (Australia)
	2017-	School of Biomedical Engineering	University of Sydney, Camperdown, New South Wales, Australia

Area:

nanoelectronics, microelectronics, biomedical instrumentation, medical devices, microsystems

Website:

https://www.sydney.edu.au/engineering/about/our-people/academic-staff/omid-kavehei.html

Google:

Mean distance: 20.7 (cluster 39)

Cross-listing: Physics Tree

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Parents

grad student

2008-2011

University of Adelaide

Children

Roshanak Elyasi	grad student	2021-	University of Sydney
Ariastity Pratiwi	grad student	2021-	University of Sydney
Simanto Saha	grad student	2021-	University of Sydney
Zhangyu (Brown) Xu	grad student	2021-	University of Sydney
Mingxuan Zhang	grad student	2021-	University of Sydney
Yansong Gao	grad student	2013-2017	University of Adelaide
Yang Su	grad student	2013-2017	University of Adelaide
Taimur Ahmed	grad student	2014-2018	Royal Melbourne Institute of Technology (Australia)
Prashant Dabholkar	grad student	2014-2018	Royal Melbourne Institute of Technology (Australia)
Jeeson (Kate) Kim	grad student	2015-2018	Sejong University
Nhan Duy Truong	grad student	2016-2019	University of Sydney
Hawraa Dashti	grad student	2020-2021	University of Sydney
Christina Maher	grad student	2019-2022	University of Sydney
Yikai Yang	grad student	2019-2022	University of Sydney
Haifeng Zhao	grad student	2019-2022	University of Sydney
Hussein Nili	post-doc	2015-2017	Royal Melbourne Institute of Technology (Australia)
Rafael Sanchotene Silva	research scientist	2020-2020	University of Sydney

Collaborators

Kamran Eshraghian

collaborator

2008-

University of Adelaide

BETA: Related publications

Publications

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Huang Z, Herbozo Contreras LF, Leung WH, et al. (2024) Efficient Edge-AI Models for Robust ECG Abnormality Detection on Resource-Constrained Hardware. Journal of Cardiovascular Translational Research
Huang Z, Herbozo Contreras LF, Yu L, et al. (2024) S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification. Cardiovascular Engineering and Technology
Maher C, Tang Z, D'Souza A, et al. (2023) Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications. Brain Communications. 5: fcad294
Maher C, Yang Y, Truong ND, et al. (2023) Seizure detection with reduced electroencephalogram channels: research trends and outlook. Royal Society Open Science. 10: 230022
Xu Z, Truong ND, Nikpour A, et al. (2023) A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology. Journal of Neural Engineering. 20
Maher C, D'Souza A, Zeng R, et al. (2022) White matter alterations in focal to bilateral tonic-clonic seizures. Frontiers in Neurology. 13: 972590
Yang Y, Truong ND, Eshraghian JK, et al. (2022) Weak self-supervised learning for seizure forecasting: a feasibility study. Royal Society Open Science. 9: 220374
Yang Y, Truong ND, Eshraghian JK, et al. (2022) A multimodal AI system for out-of-distribution generalization of seizure identification. Ieee Journal of Biomedical and Health Informatics
Yang Y, Truong ND, Maher C, et al. (2021) A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 2191-2196
Truong ND, Yang Y, Maher C, et al. (2021) Seizure Susceptibility Prediction in Uncontrolled Epilepsy. Frontiers in Neurology. 12: 721491

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