People_

Professor Omid Kavehei

PhD

Associate Professor
School of Biomedical Engineering
Deputy Head of School of Biomedical Engineering for Research
Previously: Deputy Director of The University of Sydney Nano Institute (Member Engagement)
ex-SOAR Fellow

Phone

+61 2 8627 6812

Email

omid.kavehei@sydney.edu.au

Address

J03 - Electrical Engineering Building

The University of Sydney

Details

Member of The Centre for Drug Discovery Innovation

Member of The University of Sydney Nano Institute

Member of the Brain and Mind Centre

Websites

Google scholar

Lab page

School of Biomedical Engineering

Biographical details

Omid Kavehei is a Associate Professor at the Faculty of Engineering at The University of Sydney. Prior to this role, he was with the Centre for Neural Engineering at The University of Melbourne as a Research Fellow in Microelectronics, where he worked on an Australian engineering flagship project, the Bionic Eye. During his post-doctoral time, he was a Visiting Project Scientist at the University of California at Santa Barbara.He received his PhD in Electronics from the University of Adelaide in 2012 with the Postgraduate University Alumni Medal, a University Doctoral Research Medal and the 2011 South Australian Young Nanotechnology Ambassador award. His research interests include biomedical microsystems, biomedical signal processing, novel computational and security paradigms based on nanotechnology, micro-/nano-electronics and data analytics. He is involved in several professional editorial services such as Associate Editor of IEEE Access and a member of the IEEE's Nanoelectronics and Gigascale Systems Technical Committee. His editorial and review profile can be accessed here. He is a Senior Member of IEEE.

Research interests

While the human brain remains unparalleled in its ability to perform highly sophisticated information processing on extremely limited energy resources, Dr Omid Kavehei's research in the field of nanoelectronics aims to lead to the development of a new breed of tiny intelligent devices to collectively emulate this capability in hardware more closely than ever. Such devices are expected to be able to solve a wide range of issues involving sensory perception.

"A healthy human brain delivers an impressive information processing capability on very limited energy resources. Unlike modern artificial intelligence (AI) models, the brain does not require excessively high amounts of data to achieve an optimum learning point. It can learn 'on the fly' from experience, memory and multisensory data streams, using input from our auditory, visual, olfactory, gustatory and tactile senses.

"Despite massive improvement in today's AI models and their successful practicality, they are still far from being truly intelligent or closely brain-inspired. They require excessively large training datasets and a form of supervised approach, and they consume a lot of energy.

"I believe low-power nanoelectronic devices that mimic operation of biological neurons and synapses could lead to truly intelligent brain-inspired systems that could learn from experience.

"Tiny intelligent devices that can run on batteries could revolutionise several industries, from medical devices to the internet of things. For instance, one potential application is epileptic seizures forecasting. Most people who are diagnosed with refractory epilepsy are not responsive to medication. Other than surgery, a possible step forward to improve these people's lives could be the development of an intelligent system that forecasts seizures using brain signals. Such a system must be ultra-low-power, run on batteries and learn from patients' neural activity over time to be truly effective. The system could either warn the patient about the possibility of an upcoming seizure or, as part of a responsive implant, activate neural stimulation to avoid seizures.

Awards and honours

2022 - Vice-Chancellor’s Awards for Outstanding Teaching and Research, The University of Sydney.

2022 - Innovation Genius Award, NSW Defence Innovation Network (DIN).

2021 - Dean’s Annual Awards 2021, Excellence in Education, for initiatives that advance educational quality during the period July 2018 - June 2021 from Faculty of Engineering, The University of Sydney.

2021 - Ramaciotti Biomedical Research Award (as part of a team).

2021 - Finalist at the Epilepsy Shark Tank at the Antiepileptic Drug and Device (AEDD) Trials XVI Conference, The University of Pennsylvania and the Epilepsy Foundation.

2020 - 2nd in the world in Neureka 2020 Epilepsy Global Challenge.

2019 - Sydney Accelerator Fellowship Awards (SOAR).

Themes

Biomedical engineering and technology, Complex systems

PhD and master's project opportunities

Low-power Intelligent Bio-Signal Processing

Real-time Low-power Neural Accelerator

Data-intensive solutions for medical technologies

Unobtrusive Sensor Systems for Healthcare

Data Processing for Sleep Monitoring

Data-intensive solutions for medical technologies

Current research students

Project title	Research student
Neurobiological-Inspired Models for Continual Learning with Consideration of Power and Data Complexities	Isabelle AGUILAR
Bio-Inspired Algorithms for Low-Power Seizure Detection: Towards Neuromorphic Neuromodulation AI.	Luis Fernando HERBOZO CONTRERAS
Development of Hardware-Friendly and Power-Efficient Bio-Signal Machine Learning Models for Medical Devices	Zhaojing HUANG
A new way to improve AI training efficiency through mimic the human brain	Yuchen TIAN
Unobtrusive Sensor Systems for Healthcare	Shilei WANG
Smart Wearable and Flexible Electronics in Theranostic Applications	Aswandi WIBRIANTO
Development of soft electrothermal devices for biomedical applications	Chenyu XU
Developing Innovative Approaches to High-Speed, High-Efficiency Dielectrophoresis Microfluidic Cell Sorting	Shijie XU
Developing of an Ear EEG System	Leping YU
A Highly Stretchable Layered Ionic-Electronic Conductor	Junlang ZHONG

Publications

By Type

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Book Chapters

Kavehei, O., Skafidas, E., Eshraghian, K. (2014). Memristive in Situ Computing. In Andrew Adamatzky, Leon Chua (Eds.), Memristor Networks, (pp. 413-428). Switzerland: Springer International Publishing Switzerland. [More Information]

Journals

Zhang, Z., Yang, H., Eshraghian, J., Li, J., Yong, K., Vigolo, D., McGuire, H., Kavehei, O. (2024). Cell detection with convolutional spiking neural network for neuromorphic cytometry. APL Machine Learning, 2, 026117-1-026117-8. [More Information]
Zhaojing, H., Contreras, L., Leung, W., Yu, L., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2024). Efficient edge-ai models for robust ECG abnormality detection on resource-constrained hardware. Journal of Cardiovascular Translational Research. [More Information]
Zgang, Z., Contreras, L., Yu, L., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2024). S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification. Cardiovascular Engineering and Technology. [More Information]
Xu, Z., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2023). A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology. Journal of Neural Engineering, 20(3), 036017. [More Information]
Timosina, V., Cole, T., Lu, H., Shu, J., Zhou, X., Zhang, C., Guo, J., Kavehei, O., Tang, S. (2023). A Non-Newtonian liquid metal enabled enhanced electrography. Biosensors and Bioelectronics, 235. [More Information]
Maher, C., Tang, Z., D'Souza, A., Cabezas Grebol, M., Cai, W., Barnett, M., Kavehei, O., Wang, C., Nikpour (Mohamed), A. (2023). Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications. Brain Communications, 5(6), fcad294. [More Information]
Zhang, Z., Xu, Z., McGuire, H., Essam, C., Nicholson, A., Hamilton, T., Li, J., Eshraghian, J., Yong, K., Vigolo, D., Kavehei, O. (2023). Neuromorphic cytometry: implementation on cell counting and size estimation. Neuromorphic Computing and Engineering, 3(4), 044005. [More Information]
Yang, Y., Eshraghian, J., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2023). Neuromorphic deep spiking neural networks for seizure detection. Neuromorphic Computing and Engineering, 3, 014010. [More Information]
Maher, C., Yang, Y., Truong, N., Wang, C., Nikpour (Mohamed), A., Kavehei, O. (2023). Seizure detection with reduced electroencephalogram channels: Research trends and outlook. Royal Society Open Science, 10(5). [More Information]
Ahnood, A., Chambers, A., Gelmi, A., Yong, K., Kavehei, O. (2023). Semiconducting electrodes for neural interfacing: a review. Chemical Society Reviews, 52(4), 1491-1518. [More Information]
Yang, Y., Truong, N., Eshraghian, J., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2022). A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification. IEEE Journal of Biomedical and Health Informatics, 26(7), 3529-3538. [More Information]
Mondol, R., Truong, N., Reza, M., Ippolito, S., Ebrahimie, E., Kavehei, O. (2022). AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 19(4), 2060-2070. [More Information]
Yang, Y., Truong, N., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2022). Continental generalization of a human-in-the-loop AI system for clinical seizure recognition. Expert Systems with Applications, 207. [More Information]
Burne, L., Sitaula, C., Priyadarshi, A., Tracy, M., Kavehei, O., Hinder, M., Withana, A., McEwan, A., Marzbanrad, F. (2022). Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection. IEEE Journal of Biomedical and Health Informatics. [More Information]
Ahnood, A., Truong, N., Fleiss, B., Nikpour (Mohamed), A., Kavehei, O. (2022). Novel electrode architecture for subgaleal electroencephalography: a feasibility study. Sensors & Diagnostics, 1(2), 245-261. [More Information]
Maher, C., D'Souza, A., Barnett, M., Kavehei, O., Wang, C., Nikpour (Mohamed), A. (2022). Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns. Applied Sciences, 12(20). [More Information]
Yang, Y., Truong, N., Eshraghian, J., Nikpour (Mohamed), A., Kavehei, O. (2022). Weak self-supervised learning for seizure forecasting: a feasibility study. Royal Society Open Science, 9(8). [More Information]
Maher, C., D'Souza, A., Zeng, R., Barnett, M., Kavehei, O., Nikpour (Mohamed), A., Wang, C. (2022). White matter alterations in focal to bilateral tonic-clonic seizures. Frontiers in Neurology, 13. [More Information]
Silva, R., Plantes Neto, A., Marques, J., Kavehei, O., Rodrigues, C. (2021). A compact QRS detection system based on 0.79 μW analog CMOS energy-of-derivative circuit. Microelectronics Journal, 113, 105097. [More Information]
Jaure, A., Sorrell, T., Black, A., Caillaud, C., Chrzanowski, W., Li, E., Martinez-Martin, D., McEwan, A., Wang, R., Motion, A., Casas Bedoya, A., Huang, J., Azizi, L., Eggleton, B., Andersen, T., Baillie, A., Barratt, A., Boehm, C., Britton, P., Chadban, S., Chow, C., Fleming, S., Fox, G., Gordon, L., Baillie, A., Howell, M., Hickie, I., Hunt, N., Iredell, J., Jin, C., Kairaitis, K., Kavehei, O., Kritharides, L., Leon-Saval, S., Lindley, R., Maguire, S., McCluskey, M., McKay, N., Mifsud, G., Palomba, S., Pettigrew, A., Postnova, S., Prinable, J., Rabeau, J., Rees, M., Richmond, K., Scholes-Robertson, N., Seppelt, I., Shaw, T., Sintchenko, V., Snelling, T., Teixeira-Pinto, A., Tovey, E., Tuniz, A., Varamini, P., Wang, A., Wang, K., Wise, S., Zoellner, H., et al (2021). Research priorities for COVID-19 sensor technology. Nature Biotechnology, 39(2), 144-153. [More Information]
Su, Y., Gao, Y., Chesser, M., Kavehei, O., Sample, A., Ranasinghe, D. (2021). SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices. IEEE Transactions on Dependable and Secure Computing, 18(4), 1699-1717. [More Information]
Truong, N., Yang, Y., Maher, C., Kuhlmann, L., McEwan, A., Nikpour (Mohamed), A., Kavehei, O. (2021). Seizure Susceptibility Prediction in Uncontrolled Epilepsy. Frontiers in Neurology, 12, 721491. [More Information]
Alam, R., Zhao, H., Goodwin, A., Kavehei, O., McEwan, A. (2020). Differences in power spectral densities and phase quantities due to processing of eeg signals. Sensors, 20(21), 1-20. [More Information]
Liu, T., Truong, N., Nikpour (Mohamed), A., Zhou, L., Kavehei, O. (2020). Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. IEEE Journal of Biomedical and Health Informatics, 24(10), 2844-2851. [More Information]
Tran, L., Pham, T., Kavehei, O., Burton, P., Matthews, G. (2020). Extended Boolean algebra for asynchronous quasi-delay-insensitive logic. IET Circuits, Devices and Systems, 14(8), 1201-1213. [More Information]
Ahnood, A., Ndabakuranye, J., Li, S., Kavehei, O., Prawer, S. (2020). Miniature power and data transceiver based on multimodal operation of a single photovoltaic device. Engineering Research Express, 2(1), 1-9. [More Information]
Eshraghian, J., Baek, S., Cho, K., Levi, T., Kohno, T., Al-Sarawi, S., Leong, P., Abbott, D., Kavehei, O. (2020). Nonlinear retinal response modeling for future neuromorphic instrumentation. IEEE Instrumentation and Measurement Magazine, 23(1), 21-29. [More Information]
Truong, N., Kuhlmann, L., Bonyadi, M., Querlioz, D., Zhou, L., Kavehei, O. (2019). Epileptic Seizure Forecasting with Generative Adversarial Networks. IEEE Access, 7, 143999-144009. [More Information]
Mahmoodi, M., Strukov, D., Kavehei, O. (2019). Experimental Demonstrations of Security Primitives with Nonvolatile Memories. IEEE Transactions on Electron Devices, 66(12), 5050-5059. [More Information]
Truong, N., Haw, J., Assad, S., Lam, P., Kavehei, O. (2019). Machine Learning Cryptanalysis of a Quantum Random Number Generator. IEEE Transactions on Information Forensics and Security, 14(2), 403-414. [More Information]
Kim, J., Nili, H., Truong, N., Ahmed, T., Yang, J., Jeong, D., Sriram, S., Ranasinghe, D., Ippolito, S., Chun, H., Kavehei, O. (2019). Nano-Intrinsic True Random Number Generation: A Device to Data Study. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 66(7), 2615-2626. [More Information]
Kavehei, O., Hamilton, T., Truong, N., Nikpour (Mohamed), A. (2019). Opportunities for Electroceuticals in Epilepsy. Trends In Pharmacological Sciences, 40(10), 735-746. [More Information]
Ahmed, T., Walia, S., Mayes, E., Ramanathan, R., Bansal, V., Bhaskaran, M., Sriram, S., Kavehei, O. (2019). Time and rate dependent synaptic learning in neuro-mimicking resistive memories. Scientific Reports, 9(1), 15404. [More Information]
Kim, J., Ahmed, T., Nili, H., Yang, J., Jeong, D., Beckett, P., Sriram, S., Ranasinghe, D., Kavehei, O. (2018). A Physical Unclonable Function with Redox-Based Nanoionic Resistive Memory. IEEE Transactions on Information Forensics and Security, 13(2), 437-448. [More Information]
Truong, N., Nguyen, A., Kuhlmann, L., Bonyadi, M., Yang, J., Ippolito, S., Kavehei, O. (2018). Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram. Neural Networks, 105, 104-111. [More Information]
Nili, H., Adam, G., Hoskins, B., Prezioso, M., Kim, J., Mahmoodi, M., Bayat, F., Kavehei, O., Strukov, D. (2018). Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors. Nature Electronics, 1(3), 197-202. [More Information]
Truong, N., Nguyen, A., Kuhlmann, L., Bonyadi, M., Yang, J., Ippolito, S., Kavehei, O. (2018). Integer Convolutional Neural Network for Seizure Detection. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(4), 849-857. [More Information]
Nasr, B., Chatterton, R., Yong, J., Jamshidi, P., D'Abaco, G., Bjorksten, A., Kavehei, O., Chana, G., Dottori, M., Skafidas, E. (2018). Self-Organized Nanostructure Modified Microelectrode for Sensitive Electrochemical Glutamate Detection in Stem Cells-Derived Brain Organoids. Biosensors, 8(1), 1-11. [More Information]
Sun, M., Kavehei, O., Beckett, P., Robert, A., Shieh, W., Unnithan, R. (2018). Tuning of Plasmonic Resonances in the Near Infrared Spectrum Using a Double Coaxial Aperture Array. IEEE Photonics Journal, 10(6), 1-8. [More Information]
Zavabeti, A., Ou, J., Carey, B., Syed, N., Orrell-Trigg, R., Mayes, E., Xu, C., Kavehei, O., O'Mullane, A., Kaner, R., et al (2017). A liquid metal reaction environment for the room-temperature synthesis of atomically thin metal oxides. Science, 358(6361), 332-335. [More Information]
Yong, J., Hassan, B., Liang, Y., Ganesan, K., Rajasekharan, R., Evans, R., Egan, G., Kavehei, O., Li, J., Chana, G., et al (2017). A Silk Fibroin Bio-Transient Solution Processable Memristor. Scientific Reports, 7(1), 1-12. [More Information]
Amirsoleimani, A., Shamsi, J., Ahmadi, A., Alirezaee, S., Mohammadi, K., Karami, M., Yakopcic, C., Kavehei, O., Al-Sarawi, S. (2017). Accurate charge transport model for nanoionic memristive devices. Microelectronics Journal, 65, 49-57. [More Information]
Ahnood, A., Meffin, H., Garrett, D., Fox, K., Ganesan, K., Stacey, A., Apollo, N., Wong, Y., Lichter, S., Kentler, W., et al (2017). Diamond Devices for High Acuity Prosthetic Vision. Advanced Biosystems, 1(1-2), 1600003. [More Information]
Truong, N., Kuhlmann, L., Bonyadi, M., Yang, J., Faulks, A., Kavehei, O. (2017). Supervised learning in automatic channel selection for epileptic seizure detection. Expert Systems with Applications, 86, 199-207. [More Information]
Ahmed, T., Walia, S., Kim, J., Nili, H., Ramanathan, R., Mayes, E., Lau, D., Kavehei, O., Bansal, V., Bhaskaran, M., et al (2017). Transparent amorphous strontium titanate resistive memories with transient photo-response. Nanoscale, 9(38), 14690-14702. [More Information]
Carey, B., Ou, J., Clark, R., Berean, K., Zavabeti, A., Chesman, A., Russo, S., Lau, D., Xu, Z., Bao, Q., et al (2017). Wafer-scale two-dimensional semiconductors from printed oxide skin of liquid metals. Nature Communications, 8, 1-10. [More Information]
Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2016). Emerging Physical Unclonable Functions with Nanotechnology. IEEE Access, 4, 61-80. [More Information]
Nili, H., Ahmed, T., Walia, S., Ramanathan, R., Kandjani, A., Rubanov, S., Kim, J., Kavehei, O., Bansal, V., Bhaskaran, M., et al (2016). Microstructure and dynamics of vacancy-induced nanofilamentary switching network in donor doped SrTiO3?x memristors. Nanotechnology, 27(50), 505210. [More Information]
Gao, Y., Kavehei, O., Al-Sarawi, S., Ranasinghe, D., Abbott, D. (2016). Read operation performance of large selectorless cross-point array with self-rectifying memristive device. Integration, 54, 56-64. [More Information]
Nili, H., Walia, S., Kandjani, A., Ramanathan, R., Gutruf, P., Ahmed, T., Balendhran, S., Bansal, V., Strukov, D., Kavehei, O., et al (2015). Donor-induced performance tuning of amorphous SrTiO3 memristive nanodevices: Multistate resistive switching and mechanical tunability. Advanced Functional Materials, 25(21), 3172-3182. [More Information]
Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2015). Memristive crypto primitive for building highly secure physical unclonable functions. Scientific Reports, 5, 12785. [More Information]
Tran, N., Bai, S., Yang, J., Chun, H., Kavehei, O., Yang, Y., Muktamath, V., Ng, D., Meffin, H., Halpern, M., et al (2014). A complete 256-electrode retinal prosthesis chip. IEEE Journal of Solid State Circuits, 49(3), 751-765. [More Information]
Cho, K., Lee, S., Kavehei, O., Eshraghian, K. (2014). High fill factor low-voltage CMOS image sensor based on time-to-threshold PWM VLSI architecture. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(7), 1548-1556. [More Information]
Kornijcuk, V., Kavehei, O., Lim, H., Seok, J., Kim, S., Kim, I., Lee, W., Choi, B., Jeong, D. (2014). Multiprotocol-induced plasticity in artificial synapses. Nanoscale, 6(24), 15151-15160. [More Information]
Kavehei, O., Lee, S., Cho, K., Al-Sarawi, S., Abbott, D. (2013). A pulse-frequency modulation sensor using memristive-based inhibitory interconnections. Journal of Nanoscience and Nanotechnology, 13(5), 3505-3510. [More Information]
Kavehei, O., Linn, E., Nielen, L., Tappertzhofen, S., Skafidas, E., Valov, L., Waser, R. (2013). An associative capacitive network based on nanoscale complementary resistive switches for memory-intensive computing. Nanoscale, 5(11), 5119-5128. [More Information]
Kavehei, O., Cho, K., Lee, S., Al-Sarawi, S., Eshraghian, K., Abbott, D. (2013). Integrated memristor-MOS (M2) sensor for basic pattern matching applications. Journal of Nanoscience and Nanotechnology, 13(5), 3638-3640. [More Information]
Chun, H., Tran, N., Yang, Y., Kavehei, O., Bai, S., Skafidas, E. (2012). A precise charge balancing and compliance voltage monitoring stimulator front-end for 1024-electrodes retinal prosthesis. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2012, 3001-3004. [More Information]
Kavehei, O., Al-Sarawi, S., Cho, K., Abbott, D., Eshraghian, K. (2012). An analytical approach for memristive nanoarchitectures. IEEE Transactions on Nanotechnology, 11(2), 374-385. [More Information]

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Conferences

Yang, Y., Truong, N., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2021). A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Mexico: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhao, H., Karlsson, P., Kavehei, O., McEwan, A. (2021). Augmentative and Alternative Communication with Eye-gaze Technology and Augmented Reality: Reflections from Engineers, People with Cerebral Palsy and Caregivers. 20th IEEE Sensors, SENSORS 2021, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Tran, L., Pham, T., Kavehei, O., Matthews, G. (2019). Asynchronous 2-Phase Level-Encoded Convention Logic (LCL). 2019 International Symposium on Electrical and Electronics Engineering (ISEE 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Su, Y., Gao, Y., Kavehei, O., Ranasinghe, D. (2019). Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Truong, N., Kavehei, O. (2019). Low Precision Electroencephalogram for Seizure Detection with Convolutional Neural Network. 1st IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019), Hsinchu: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Truong, N., Zhou, L., Kavehei, O. (2019). Semi-supervised Seizure Prediction with Generative Adversarial Networks. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), : Springer Verlag. [More Information]
Hamilton, T., Kavehei, O., Asadnia, M., Kan, A., Wabnitz, A., Luke, R., Gargiulo, G. (2019). Towards a Low-Power, Minimally-Invasive Nerve Regeneration. 2019 International Conference on Electrical Engineering Research and Practice (iCEERP 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kim,, J., Nili,, H., Adam,, G., Truong, N., Strukov,, D., Kavehei, O. (2018). Predictive Analysis of 3D ReRAM-Based PUF for Securing the Internet of Things. 2018 IEEE Region 10 Symposium, Tensymp 2018, : International Astronautical Federation, IAF.
Ma, H., Gao, Y., Kavehei, O., Ranasinghe, D. (2017). A PUF Sensor: Securing Physical Measurements. 14th IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops, Hawaii, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Adam, G., Nili, H., Kim, J., Hoskins, B., Kavehei, O., Strukov, D. (2017). Utilizing I-V Non-Linearity and Analog State Variations in ReRAM-Based Security Primitives. 47th European Solid-State Device Research Conference (ESSDERC 2017), Leuven, Belgium: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Gao, Y., Li, G., Ma, H., Al-Sarawi, S., Kavehei, O., Abbott, D., Ranasinghe, D. (2016). Obfuscated Challenge-Response: A Secure Lightweight Authentication Mechanism for PUF-Based Pervasive Devices. 13th IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops 2016), Piscataway, New Jersey, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2015). mrPUF: A novel memristive device based physical unclonable function. 13th International Conference on Applied Cryptography and Network Security (ACNS 2015), New York, NY: Springer Verlag. [More Information]
Nielen, L., Tappertzhofen, S., Linn, E., Waser, R., Kavehei, O. (2014). An Experimental Associative Capacitive Network based on Complementary Resistive Switches for Memory-intensive Computing. 2014 Silicon Nanoelectronics Workshop (SNW), Piscataway, New Jersey, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kavehei, O., Efstratios, S. (2014). Highly scalable neuromorphic hardware with 1-bit stochastic nano-synapses. 2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Nielen, L., Tappertzhofen, S., Linn, E., Kavehei, O., Skafidas, E., Valov, I., Waser, R. (2014). Live demonstration: An associative capacitive network based on nanoscale complementary resistive switches. 2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yang, J., Bai, S., Tran, N., Chun, H., Kavehei, O., Yang, Y., Skafidas, E., Halpern, M., Ng, D., Muktamath, V. (2013). A charge-balanced 4-wire interface for the interconnections of biomedical implants. 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013), Beijing: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chun, H., Kavehei, O., Tran, N., Skafidas, E. (2013). A flexible biphasic pulse generating and accurate charge balancing stimulator with a 1?W neural recording amplifier. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kavehei, O., Skafidas, E., Eshraghian, K. (2013). Complementary Resistive Switch-Based Associative Memory Capable Of Fully Parallel Search For Minimum Hamming Distance. Nature Conference on Frontiers in Electronic Materials: Correlation Effects and Memristive Phenomena, Germany: Wiley - V C H Verlag GmbH & Co. KGaA. [More Information]
Afshar, S., Kavehei, O., van Schaik, A., Tapson, J., Skafidas, E., Hamilton, T. (2012). Emergence of competitive control in a memristor-based neuromorphic circuit. 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Cho, K., Lee, S., Kavehei, O., Eshraghian, K. (2012). Influence of memristor 4th fundamental circuit component on nano-electronics educational platform. 9th European Workshop on Microelectronics Education, Grenoble, France: EDA Publishing.
Cho, K., Lee, S., Oh, K., Han, C., Kavehei, O., Eshraghian, K. (2012). Pattern matching and classification based on an associative memory architecture using CRS. 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012, Piscataway, New Jersey, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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2024

Zhang, Z., Yang, H., Eshraghian, J., Li, J., Yong, K., Vigolo, D., McGuire, H., Kavehei, O. (2024). Cell detection with convolutional spiking neural network for neuromorphic cytometry. APL Machine Learning, 2, 026117-1-026117-8. [More Information]
Zhaojing, H., Contreras, L., Leung, W., Yu, L., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2024). Efficient edge-ai models for robust ECG abnormality detection on resource-constrained hardware. Journal of Cardiovascular Translational Research. [More Information]
Zgang, Z., Contreras, L., Yu, L., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2024). S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification. Cardiovascular Engineering and Technology. [More Information]

2023

Xu, Z., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2023). A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology. Journal of Neural Engineering, 20(3), 036017. [More Information]
Timosina, V., Cole, T., Lu, H., Shu, J., Zhou, X., Zhang, C., Guo, J., Kavehei, O., Tang, S. (2023). A Non-Newtonian liquid metal enabled enhanced electrography. Biosensors and Bioelectronics, 235. [More Information]
Maher, C., Tang, Z., D'Souza, A., Cabezas Grebol, M., Cai, W., Barnett, M., Kavehei, O., Wang, C., Nikpour (Mohamed), A. (2023). Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications. Brain Communications, 5(6), fcad294. [More Information]
Zhang, Z., Xu, Z., McGuire, H., Essam, C., Nicholson, A., Hamilton, T., Li, J., Eshraghian, J., Yong, K., Vigolo, D., Kavehei, O. (2023). Neuromorphic cytometry: implementation on cell counting and size estimation. Neuromorphic Computing and Engineering, 3(4), 044005. [More Information]
Yang, Y., Eshraghian, J., Truong, N., Nikpour (Mohamed), A., Kavehei, O. (2023). Neuromorphic deep spiking neural networks for seizure detection. Neuromorphic Computing and Engineering, 3, 014010. [More Information]
Maher, C., Yang, Y., Truong, N., Wang, C., Nikpour (Mohamed), A., Kavehei, O. (2023). Seizure detection with reduced electroencephalogram channels: Research trends and outlook. Royal Society Open Science, 10(5). [More Information]
Ahnood, A., Chambers, A., Gelmi, A., Yong, K., Kavehei, O. (2023). Semiconducting electrodes for neural interfacing: a review. Chemical Society Reviews, 52(4), 1491-1518. [More Information]

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2022

Yang, Y., Truong, N., Eshraghian, J., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2022). A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification. IEEE Journal of Biomedical and Health Informatics, 26(7), 3529-3538. [More Information]
Mondol, R., Truong, N., Reza, M., Ippolito, S., Ebrahimie, E., Kavehei, O. (2022). AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 19(4), 2060-2070. [More Information]
Yang, Y., Truong, N., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2022). Continental generalization of a human-in-the-loop AI system for clinical seizure recognition. Expert Systems with Applications, 207. [More Information]
Burne, L., Sitaula, C., Priyadarshi, A., Tracy, M., Kavehei, O., Hinder, M., Withana, A., McEwan, A., Marzbanrad, F. (2022). Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection. IEEE Journal of Biomedical and Health Informatics. [More Information]
Ahnood, A., Truong, N., Fleiss, B., Nikpour (Mohamed), A., Kavehei, O. (2022). Novel electrode architecture for subgaleal electroencephalography: a feasibility study. Sensors & Diagnostics, 1(2), 245-261. [More Information]
Maher, C., D'Souza, A., Barnett, M., Kavehei, O., Wang, C., Nikpour (Mohamed), A. (2022). Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns. Applied Sciences, 12(20). [More Information]
Yang, Y., Truong, N., Eshraghian, J., Nikpour (Mohamed), A., Kavehei, O. (2022). Weak self-supervised learning for seizure forecasting: a feasibility study. Royal Society Open Science, 9(8). [More Information]
Maher, C., D'Souza, A., Zeng, R., Barnett, M., Kavehei, O., Nikpour (Mohamed), A., Wang, C. (2022). White matter alterations in focal to bilateral tonic-clonic seizures. Frontiers in Neurology, 13. [More Information]

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2021

Silva, R., Plantes Neto, A., Marques, J., Kavehei, O., Rodrigues, C. (2021). A compact QRS detection system based on 0.79 μW analog CMOS energy-of-derivative circuit. Microelectronics Journal, 113, 105097. [More Information]
Yang, Y., Truong, N., Maher, C., Nikpour (Mohamed), A., Kavehei, O. (2021). A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Mexico: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Zhao, H., Karlsson, P., Kavehei, O., McEwan, A. (2021). Augmentative and Alternative Communication with Eye-gaze Technology and Augmented Reality: Reflections from Engineers, People with Cerebral Palsy and Caregivers. 20th IEEE Sensors, SENSORS 2021, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Jaure, A., Sorrell, T., Black, A., Caillaud, C., Chrzanowski, W., Li, E., Martinez-Martin, D., McEwan, A., Wang, R., Motion, A., Casas Bedoya, A., Huang, J., Azizi, L., Eggleton, B., Andersen, T., Baillie, A., Barratt, A., Boehm, C., Britton, P., Chadban, S., Chow, C., Fleming, S., Fox, G., Gordon, L., Baillie, A., Howell, M., Hickie, I., Hunt, N., Iredell, J., Jin, C., Kairaitis, K., Kavehei, O., Kritharides, L., Leon-Saval, S., Lindley, R., Maguire, S., McCluskey, M., McKay, N., Mifsud, G., Palomba, S., Pettigrew, A., Postnova, S., Prinable, J., Rabeau, J., Rees, M., Richmond, K., Scholes-Robertson, N., Seppelt, I., Shaw, T., Sintchenko, V., Snelling, T., Teixeira-Pinto, A., Tovey, E., Tuniz, A., Varamini, P., Wang, A., Wang, K., Wise, S., Zoellner, H., et al (2021). Research priorities for COVID-19 sensor technology. Nature Biotechnology, 39(2), 144-153. [More Information]
Su, Y., Gao, Y., Chesser, M., Kavehei, O., Sample, A., Ranasinghe, D. (2021). SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices. IEEE Transactions on Dependable and Secure Computing, 18(4), 1699-1717. [More Information]
Truong, N., Yang, Y., Maher, C., Kuhlmann, L., McEwan, A., Nikpour (Mohamed), A., Kavehei, O. (2021). Seizure Susceptibility Prediction in Uncontrolled Epilepsy. Frontiers in Neurology, 12, 721491. [More Information]

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2020

Alam, R., Zhao, H., Goodwin, A., Kavehei, O., McEwan, A. (2020). Differences in power spectral densities and phase quantities due to processing of eeg signals. Sensors, 20(21), 1-20. [More Information]
Liu, T., Truong, N., Nikpour (Mohamed), A., Zhou, L., Kavehei, O. (2020). Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. IEEE Journal of Biomedical and Health Informatics, 24(10), 2844-2851. [More Information]
Tran, L., Pham, T., Kavehei, O., Burton, P., Matthews, G. (2020). Extended Boolean algebra for asynchronous quasi-delay-insensitive logic. IET Circuits, Devices and Systems, 14(8), 1201-1213. [More Information]
Ahnood, A., Ndabakuranye, J., Li, S., Kavehei, O., Prawer, S. (2020). Miniature power and data transceiver based on multimodal operation of a single photovoltaic device. Engineering Research Express, 2(1), 1-9. [More Information]
Eshraghian, J., Baek, S., Cho, K., Levi, T., Kohno, T., Al-Sarawi, S., Leong, P., Abbott, D., Kavehei, O. (2020). Nonlinear retinal response modeling for future neuromorphic instrumentation. IEEE Instrumentation and Measurement Magazine, 23(1), 21-29. [More Information]

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2019

Tran, L., Pham, T., Kavehei, O., Matthews, G. (2019). Asynchronous 2-Phase Level-Encoded Convention Logic (LCL). 2019 International Symposium on Electrical and Electronics Engineering (ISEE 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Truong, N., Kuhlmann, L., Bonyadi, M., Querlioz, D., Zhou, L., Kavehei, O. (2019). Epileptic Seizure Forecasting with Generative Adversarial Networks. IEEE Access, 7, 143999-144009. [More Information]
Mahmoodi, M., Strukov, D., Kavehei, O. (2019). Experimental Demonstrations of Security Primitives with Nonvolatile Memories. IEEE Transactions on Electron Devices, 66(12), 5050-5059. [More Information]
Su, Y., Gao, Y., Kavehei, O., Ranasinghe, D. (2019). Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Truong, N., Kavehei, O. (2019). Low Precision Electroencephalogram for Seizure Detection with Convolutional Neural Network. 1st IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019), Hsinchu: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Truong, N., Haw, J., Assad, S., Lam, P., Kavehei, O. (2019). Machine Learning Cryptanalysis of a Quantum Random Number Generator. IEEE Transactions on Information Forensics and Security, 14(2), 403-414. [More Information]
Kim, J., Nili, H., Truong, N., Ahmed, T., Yang, J., Jeong, D., Sriram, S., Ranasinghe, D., Ippolito, S., Chun, H., Kavehei, O. (2019). Nano-Intrinsic True Random Number Generation: A Device to Data Study. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 66(7), 2615-2626. [More Information]
Kavehei, O., Hamilton, T., Truong, N., Nikpour (Mohamed), A. (2019). Opportunities for Electroceuticals in Epilepsy. Trends In Pharmacological Sciences, 40(10), 735-746. [More Information]
Truong, N., Zhou, L., Kavehei, O. (2019). Semi-supervised Seizure Prediction with Generative Adversarial Networks. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), : Springer Verlag. [More Information]
Ahmed, T., Walia, S., Mayes, E., Ramanathan, R., Bansal, V., Bhaskaran, M., Sriram, S., Kavehei, O. (2019). Time and rate dependent synaptic learning in neuro-mimicking resistive memories. Scientific Reports, 9(1), 15404. [More Information]
Hamilton, T., Kavehei, O., Asadnia, M., Kan, A., Wabnitz, A., Luke, R., Gargiulo, G. (2019). Towards a Low-Power, Minimally-Invasive Nerve Regeneration. 2019 International Conference on Electrical Engineering Research and Practice (iCEERP 2019), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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2018

Kim, J., Ahmed, T., Nili, H., Yang, J., Jeong, D., Beckett, P., Sriram, S., Ranasinghe, D., Kavehei, O. (2018). A Physical Unclonable Function with Redox-Based Nanoionic Resistive Memory. IEEE Transactions on Information Forensics and Security, 13(2), 437-448. [More Information]
Truong, N., Nguyen, A., Kuhlmann, L., Bonyadi, M., Yang, J., Ippolito, S., Kavehei, O. (2018). Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram. Neural Networks, 105, 104-111. [More Information]
Nili, H., Adam, G., Hoskins, B., Prezioso, M., Kim, J., Mahmoodi, M., Bayat, F., Kavehei, O., Strukov, D. (2018). Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors. Nature Electronics, 1(3), 197-202. [More Information]
Truong, N., Nguyen, A., Kuhlmann, L., Bonyadi, M., Yang, J., Ippolito, S., Kavehei, O. (2018). Integer Convolutional Neural Network for Seizure Detection. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(4), 849-857. [More Information]
Kim,, J., Nili,, H., Adam,, G., Truong, N., Strukov,, D., Kavehei, O. (2018). Predictive Analysis of 3D ReRAM-Based PUF for Securing the Internet of Things. 2018 IEEE Region 10 Symposium, Tensymp 2018, : International Astronautical Federation, IAF.
Nasr, B., Chatterton, R., Yong, J., Jamshidi, P., D'Abaco, G., Bjorksten, A., Kavehei, O., Chana, G., Dottori, M., Skafidas, E. (2018). Self-Organized Nanostructure Modified Microelectrode for Sensitive Electrochemical Glutamate Detection in Stem Cells-Derived Brain Organoids. Biosensors, 8(1), 1-11. [More Information]
Sun, M., Kavehei, O., Beckett, P., Robert, A., Shieh, W., Unnithan, R. (2018). Tuning of Plasmonic Resonances in the Near Infrared Spectrum Using a Double Coaxial Aperture Array. IEEE Photonics Journal, 10(6), 1-8. [More Information]

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2017

Zavabeti, A., Ou, J., Carey, B., Syed, N., Orrell-Trigg, R., Mayes, E., Xu, C., Kavehei, O., O'Mullane, A., Kaner, R., et al (2017). A liquid metal reaction environment for the room-temperature synthesis of atomically thin metal oxides. Science, 358(6361), 332-335. [More Information]
Ma, H., Gao, Y., Kavehei, O., Ranasinghe, D. (2017). A PUF Sensor: Securing Physical Measurements. 14th IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops, Hawaii, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Yong, J., Hassan, B., Liang, Y., Ganesan, K., Rajasekharan, R., Evans, R., Egan, G., Kavehei, O., Li, J., Chana, G., et al (2017). A Silk Fibroin Bio-Transient Solution Processable Memristor. Scientific Reports, 7(1), 1-12. [More Information]
Amirsoleimani, A., Shamsi, J., Ahmadi, A., Alirezaee, S., Mohammadi, K., Karami, M., Yakopcic, C., Kavehei, O., Al-Sarawi, S. (2017). Accurate charge transport model for nanoionic memristive devices. Microelectronics Journal, 65, 49-57. [More Information]
Ahnood, A., Meffin, H., Garrett, D., Fox, K., Ganesan, K., Stacey, A., Apollo, N., Wong, Y., Lichter, S., Kentler, W., et al (2017). Diamond Devices for High Acuity Prosthetic Vision. Advanced Biosystems, 1(1-2), 1600003. [More Information]
Truong, N., Kuhlmann, L., Bonyadi, M., Yang, J., Faulks, A., Kavehei, O. (2017). Supervised learning in automatic channel selection for epileptic seizure detection. Expert Systems with Applications, 86, 199-207. [More Information]
Ahmed, T., Walia, S., Kim, J., Nili, H., Ramanathan, R., Mayes, E., Lau, D., Kavehei, O., Bansal, V., Bhaskaran, M., et al (2017). Transparent amorphous strontium titanate resistive memories with transient photo-response. Nanoscale, 9(38), 14690-14702. [More Information]
Adam, G., Nili, H., Kim, J., Hoskins, B., Kavehei, O., Strukov, D. (2017). Utilizing I-V Non-Linearity and Analog State Variations in ReRAM-Based Security Primitives. 47th European Solid-State Device Research Conference (ESSDERC 2017), Leuven, Belgium: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Carey, B., Ou, J., Clark, R., Berean, K., Zavabeti, A., Chesman, A., Russo, S., Lau, D., Xu, Z., Bao, Q., et al (2017). Wafer-scale two-dimensional semiconductors from printed oxide skin of liquid metals. Nature Communications, 8, 1-10. [More Information]

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2016

Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2016). Emerging Physical Unclonable Functions with Nanotechnology. IEEE Access, 4, 61-80. [More Information]
Nili, H., Ahmed, T., Walia, S., Ramanathan, R., Kandjani, A., Rubanov, S., Kim, J., Kavehei, O., Bansal, V., Bhaskaran, M., et al (2016). Microstructure and dynamics of vacancy-induced nanofilamentary switching network in donor doped SrTiO3?x memristors. Nanotechnology, 27(50), 505210. [More Information]
Gao, Y., Li, G., Ma, H., Al-Sarawi, S., Kavehei, O., Abbott, D., Ranasinghe, D. (2016). Obfuscated Challenge-Response: A Secure Lightweight Authentication Mechanism for PUF-Based Pervasive Devices. 13th IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops 2016), Piscataway, New Jersey, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Gao, Y., Kavehei, O., Al-Sarawi, S., Ranasinghe, D., Abbott, D. (2016). Read operation performance of large selectorless cross-point array with self-rectifying memristive device. Integration, 54, 56-64. [More Information]

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2015

Nili, H., Walia, S., Kandjani, A., Ramanathan, R., Gutruf, P., Ahmed, T., Balendhran, S., Bansal, V., Strukov, D., Kavehei, O., et al (2015). Donor-induced performance tuning of amorphous SrTiO3 memristive nanodevices: Multistate resistive switching and mechanical tunability. Advanced Functional Materials, 25(21), 3172-3182. [More Information]
Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2015). Memristive crypto primitive for building highly secure physical unclonable functions. Scientific Reports, 5, 12785. [More Information]
Gao, Y., Ranasinghe, D., Al-Sarawi, S., Kavehei, O., Abbott, D. (2015). mrPUF: A novel memristive device based physical unclonable function. 13th International Conference on Applied Cryptography and Network Security (ACNS 2015), New York, NY: Springer Verlag. [More Information]

2014

Tran, N., Bai, S., Yang, J., Chun, H., Kavehei, O., Yang, Y., Muktamath, V., Ng, D., Meffin, H., Halpern, M., et al (2014). A complete 256-electrode retinal prosthesis chip. IEEE Journal of Solid State Circuits, 49(3), 751-765. [More Information]
Nielen, L., Tappertzhofen, S., Linn, E., Waser, R., Kavehei, O. (2014). An Experimental Associative Capacitive Network based on Complementary Resistive Switches for Memory-intensive Computing. 2014 Silicon Nanoelectronics Workshop (SNW), Piscataway, New Jersey, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Cho, K., Lee, S., Kavehei, O., Eshraghian, K. (2014). High fill factor low-voltage CMOS image sensor based on time-to-threshold PWM VLSI architecture. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 22(7), 1548-1556. [More Information]
Kavehei, O., Efstratios, S. (2014). Highly scalable neuromorphic hardware with 1-bit stochastic nano-synapses. 2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Nielen, L., Tappertzhofen, S., Linn, E., Kavehei, O., Skafidas, E., Valov, I., Waser, R. (2014). Live demonstration: An associative capacitive network based on nanoscale complementary resistive switches. 2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kavehei, O., Skafidas, E., Eshraghian, K. (2014). Memristive in Situ Computing. In Andrew Adamatzky, Leon Chua (Eds.), Memristor Networks, (pp. 413-428). Switzerland: Springer International Publishing Switzerland. [More Information]
Kornijcuk, V., Kavehei, O., Lim, H., Seok, J., Kim, S., Kim, I., Lee, W., Choi, B., Jeong, D. (2014). Multiprotocol-induced plasticity in artificial synapses. Nanoscale, 6(24), 15151-15160. [More Information]

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2013

Yang, J., Bai, S., Tran, N., Chun, H., Kavehei, O., Yang, Y., Skafidas, E., Halpern, M., Ng, D., Muktamath, V. (2013). A charge-balanced 4-wire interface for the interconnections of biomedical implants. 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013), Beijing: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Chun, H., Kavehei, O., Tran, N., Skafidas, E. (2013). A flexible biphasic pulse generating and accurate charge balancing stimulator with a 1?W neural recording amplifier. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Kavehei, O., Lee, S., Cho, K., Al-Sarawi, S., Abbott, D. (2013). A pulse-frequency modulation sensor using memristive-based inhibitory interconnections. Journal of Nanoscience and Nanotechnology, 13(5), 3505-3510. [More Information]
Kavehei, O., Linn, E., Nielen, L., Tappertzhofen, S., Skafidas, E., Valov, L., Waser, R. (2013). An associative capacitive network based on nanoscale complementary resistive switches for memory-intensive computing. Nanoscale, 5(11), 5119-5128. [More Information]
Kavehei, O., Skafidas, E., Eshraghian, K. (2013). Complementary Resistive Switch-Based Associative Memory Capable Of Fully Parallel Search For Minimum Hamming Distance. Nature Conference on Frontiers in Electronic Materials: Correlation Effects and Memristive Phenomena, Germany: Wiley - V C H Verlag GmbH & Co. KGaA. [More Information]
Kavehei, O., Cho, K., Lee, S., Al-Sarawi, S., Eshraghian, K., Abbott, D. (2013). Integrated memristor-MOS (M2) sensor for basic pattern matching applications. Journal of Nanoscience and Nanotechnology, 13(5), 3638-3640. [More Information]

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2012

Chun, H., Tran, N., Yang, Y., Kavehei, O., Bai, S., Skafidas, E. (2012). A precise charge balancing and compliance voltage monitoring stimulator front-end for 1024-electrodes retinal prosthesis. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2012, 3001-3004. [More Information]
Kavehei, O., Al-Sarawi, S., Cho, K., Abbott, D., Eshraghian, K. (2012). An analytical approach for memristive nanoarchitectures. IEEE Transactions on Nanotechnology, 11(2), 374-385. [More Information]
Afshar, S., Kavehei, O., van Schaik, A., Tapson, J., Skafidas, E., Hamilton, T. (2012). Emergence of competitive control in a memristor-based neuromorphic circuit. 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Cho, K., Lee, S., Kavehei, O., Eshraghian, K. (2012). Influence of memristor 4th fundamental circuit component on nano-electronics educational platform. 9th European Workshop on Microelectronics Education, Grenoble, France: EDA Publishing.
Cho, K., Lee, S., Oh, K., Han, C., Kavehei, O., Eshraghian, K. (2012). Pattern matching and classification based on an associative memory architecture using CRS. 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012, Piscataway, New Jersey, United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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Selected Grants

2024

A Reconfigurable Neuromorphic Compute System for Brain-Scale Simulations, Leong P, Kuncic Z, Kavehei O, Australian Research Council (ARC)/Linkage Infrastructure, Equipment and Facilities (LIEF)

2023

A novel platform-technology for long-term subcutaneous neurophysiology, Kavehei O, Australian Research Council (ARC)/Discovery Projects (DP)
ARC Training Centre for Semiconductor Design and Microsystems, Kavehei O, DVC Research/External Research Collaboration Seed Funding
Smart metamaterials based skull replacement implants to improve electrical brain interfaces enabled by additive manufacturing, electrical impedance tomography and machine learning, McEwan A, Kumar S, Samore A, Harrison P, Protti D, Schneider J, Kavehei O, Deep A, Kiernan M, Triay A, Clark J, Office of Global Engagement/Ignition Grants
LP Seed Funding - Research Project Fabrication & characterisation of novel z-conductive adhesive gel-free electrodes for wearable health monitoring applications - Ti2 Medical Pty Ltd, Kavehei O, Ti2 Medical Pty Ltd/Client Commissioned Research

2022

Quantum-enabled ultrasensitive and miniaturized magnetic sensors for room-temperature biomedical sensing, Kavehei O, Heidari H, Rabeau J, Weides M, Boele T, Flynn D, Xu Z, Imran M, Wang H, Office of Global Engagement/Partnership Collaboration Awards
Towards Remote Patient Monitoring of Heart Failure Using Event-driven AI Systems, Dwivedi G, Bennamoun M, Eshraghian J, Boussaid F, Kavehei O, Ihdayhid A, Hillis G, Patel S, Figtree G, Department of Health and Aged Care (Federal - administered by NHMRC)/MRFF - 2021 Cardiovascular Health Grant Opportunity

2021

Acceleration measurements with a diamond quantum sensor, Kavehei O, Rabeau J, Asian Office of Aerospace Research and Development (AOARD) - US Air Force/Research Grant

2020

Prototype diamond magnetometer for navigation - Defence Innovation Network DIN, Rabeau J, Kavehei O, NSW Department of Industry/Defence Innovation Network Project