Dr Omid Kavehei

PhD
SOAR Fellow
Senior Lecturer
School of Electrical and Information Engineering

Member of The University of Sydney Nano Institute

J03 - Electrical Engineering Building
The University of Sydney

Telephone +61 2 8627 6812

Website School of Electrical and Information Engineering

Google scholar

Lab page

Biographical details

Omid Kavehei is a Senior Lecturer at the Faculty of Engineering and Information Technologies at The University of Sydney. Prior to this role he was with 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. He was also a tenured Lecturer with Royal Melbourne Institute of Technology, where he currently holds an Honorary position. 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 implantable devices, novel computational and security paradigms based on nanotechnology, micro-/nano-electronics and data analytics. Dr Kavehei has served as Guest Editor, co-chair, and co-organiser of IEEE JETCAS'15, CAS-FEST'14 and Telluride Neuromorphic Workshop'13 and is currently an 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.

"I'm passionate about this research and its ever-growing impact on our quality of life. It's an exciting era of increasing demand for autonomous decision making of any kind. This is also a very exciting area of research as it offers unrivalled solutions to problems that are fundamentally bound by strict energy limitations. I was fortunate to be part of impactful national flagship projects like the Australian Bionic Eye. It's fulfilling to be able to give back to the community and improve people's lives.

"I've been researching in the field of nano- and microelectronics since 2003, and in this specific field since 2009. I joined the University of Sydney in 2017, where I hope to address many fascinating challenges with the support of the University's outstanding cross-disciplinary research environment and resources."

Current research students

Project title Research student
Towards ultra-low power seizure forecasting systems Nhan TRUONG

Awards and honours

International collaboration


    Domestic collaboration


      Industry engagement

        Selected grants

        2019

        • SOAR Fellowship; Kavehei O; DVC Research/SOAR Fellowships.

        Selected publications

        Download citations: PDF RTF Endnote

        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

        • 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., 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), 14. [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). [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), 1-10. [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), 1-8. [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, 1-14. [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.
        • 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]

        Conferences

        • 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]

        2019

        • 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]

        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]
        • 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), 14. [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). [More Information]

        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), 1-10. [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]

        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), 1-8. [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]

        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, 1-14. [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]

        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]

        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.
        • 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]

        For support on your academic profile contact .