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:
"Omid Kavehei"
Mean distance: 20.7 (cluster 39)
 
Cross-listing: Neurotree

Parents

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Derek Abbott grad student 2008-2011 University of Adelaide (Neurotree)

Children

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

Collaborators

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Kamran Eshraghian collaborator 2008- University of Adelaide (Neurotree)
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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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