Department of Electrical and Computer Engineering

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 Department of Electrical and Computer Engineering Research Key areas in research & development Electronics & Photonics Research Groups Integrated Nanoelectronics Publications

Publications

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Zhou, X., Li, Q., Kilsgaard, S., Moradi, F., Kappel, S. & Kidmose, P. (2016). A Wearable Ear-EEG Recording System Based on Dry-Contact Active Electrodes. In 2016 IEEE Symposium on VLSI Circuits, VLSI Circuits 2016: VLSI Circuits 2016 (Vol. 2016). Article 7573559 IEEE Press. https://doi.org/10.1109/VLSIC.2016.7573559
Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2015). Sub-Threshold SRAM Design in 14Nm FinFET Technology with Improved Access Time and Leakage Power. In Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (Vol. 2015, pp. 74-79). IEEE. https://doi.org/10.1109/ISVLSI.2015.73
Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2016). A Novel Nondestructive Bit-Line Discharging Scheme for Deep Submicrometer STT-RAM. Paper presented at The 34th IEEE International Conference on Computer Design, Phoenix, United States.
Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2017). Low-leakage sub-threshold 9T-SRAM cell in 14-nm FinFET technology. International Journal of Circuit Theory and Applications, 45(11), 1647-1659. https://doi.org/10.1002/cta.2280
Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2019). A Novel Nondestructive Bit-Line Discharging Scheme for Deep Submicrometer STT-RAMs. IEEE Transactions on Emerging Topics in Computing, 7(2), 294-300. Article 7744549. https://doi.org/10.1109/TETC.2016.2629090
Zeinali, B., Karsinos, D. & Moradi, F. (2018). Progressive Scaled STT-RAM for Approximate Computing in Multimedia Applications. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(7), 938-942. https://doi.org/10.1109/TCSII.2017.2738844
Zeinali, B., Madsen, J. K., Raghavan, P. & Moradi, F. (2017). Ultra-Fast SOT-MRAM Cell with STT Current for Deterministic Switching. In Proceedings - 35th IEEE International Conference on Computer Design, ICCD 2017: ICCD 2017 (pp. 463-468). Article 8119254 IEEE. https://doi.org/10.1109/ICCD.2017.81
Zeinali, B., Esmaeili, M., Madsen, J. K. & Moradi, F. (2017). Multilevel SOT-MRAM Cell with a Novel Sensing Scheme for High-Density Memory Applications. In 2017 47th European Solid-State Device Research Conference, ESSDERC 2017: ESSDERC 2017 (pp. 172-175). Article 8066619 IEEE. https://doi.org/10.1109/ESSDERC.2017.8066619
Zeinali, B. & Moradi, F. (2019). Sensing of spintronic memories. In S. Ghosh (Ed.), Sensing of Non-Volatile Memory Demystified (pp. 1-30). Springer. https://doi.org/10.1007/978-3-319-97347-0
Zamani, M., Ronchini, M., Huynh, H. A., Farkhani, H. & Moradi, F. (2021). Flexible Energy-Efficient Implementation of Adaptive Spiking Encoder for Neuromorphic Processors. In 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings Article 9401103 IEEE. https://doi.org/10.1109/ISCAS51556.2021.9401103
Zamani, M., Rezaeiyan, Y., Huynh, H. A., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ. IEEE Solid-State Circuits Letters, 4, 133 - 136. Article 9471814. https://doi.org/10.1109/LSSC.2021.3094237
Zamani, M., Hosseini, S., Laursen, K., Rashidi, A., Ivriq, S. B., Rezaeiyan, Y. & Moradi, F. (2025). Ultrasound-Based Wireless Powering Technologies. In R. Das & H. Heidari (Eds.), Wireless Power Technologies for Biomedical Devices (pp. 113-163). Springer. https://doi.org/10.1007/978-3-031-52834-7_6
Yuan, M., Das, R., Ghannam, R., Wang, Y., Reboud, J., Fromme, R., Moradi, F. & Heidari, H. (2020). Electronic Contact Lens: A Platform for Wireless Health Monitoring Applications. Advanced Intelligent Systems , 2(4). https://doi.org/10.1002/aisy.201900190
Varghani, A., Peiravi, A. & Moradi, F. (2016). Graphene-Based STT-RAM Cell with Improved Switching for Scaled Technology Nodes. I E E E Transactions on Magnetics, 52(1), Article 1600108. https://doi.org/10.1109/TMAG.2015.2473135
Varghani, A., Peiravi, A. & Moradi, F. (2018). Perpendicular STT_RAM Cell in 8nm Technology Node Using Co1/Ni3(111)||Gr2||Co1/Ni3(111) Structure as Magnetic Tunnel Junction. Journal of Magnetism and Magnetic Materials, 452, 10-16. https://doi.org/10.1016/j.jmmm.2017.12.021
Tohidi, M., Madsen, J. K., Heck, M. & Moradi, F. (2016). A Low-Power Analog Front-End Neural Acquisition Design for Seizure Detection. In 2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016: VLSI-SoC (Vol. 2016). Article 7753541 IEEE Press. https://doi.org/10.1109/VLSI-SoC.2016.7753541
Tohidi, M., Madsen, J. K., Heck, M. & Moradi, F. (2017). Low-Power Comparator in 65-nm CMOS with Reduced Delay Time. In 2016 IEEE International Conference on Electronics, Circuits and Systems, ICECS 2016: ICECS 2016 (pp. 736-739). Article 7841307 IEEE Press. https://doi.org/10.1109/ICECS.2016.7841307
Tohidi, M., Madsen, J. K. & Moradi, F. (2018). Low-Power, Low-Noise Epileptic-Seizure Detection System with High Accuracy Using EEG Signals. Poster session presented at Biomedical Circuits and Systems Conference, Cleveland, United States. https://www.epapers.org/biocas2018/ESR/paper_details.php?PHPSESSID=ok076vdjtkiu7kett65d8hk0g0&paper_id=6066
Tohidi, M., Kargaard Madsen, J. & Moradi, F. (2019). Low-Power High-Input-Impedance EEG Signal Acquisition SoC with Fully Integrated IA and Signal-Specific ADC for Wearable Applications. IEEE Transactions on Biomedical Circuits and Systems, 13(6), 1437-1450. Article 2936534. https://doi.org/10.1109/TBCAS.2019.2936534
Tohidi, M., Madsen, J. K. & Moradi, F. (2019). A low-power, low-noise, high-accurate epileptic-seizure detection system for wearable applications. Microelectronics Journal, 92, Article 104600. https://doi.org/10.1016/j.mejo.2019.104600
Tofte, A., Shreya, S., Ghanatian Najafabadi, H., Böhnert, T., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication Logic (MCL) in Magnetic Tunnel Junctions. Poster session presented at Trends in MAGnetism-PetaSpin Conference, Italy.
Soni, S., Rezaeiyan, Y., Boehnert, T., Ferreira, R., Kaushik, B. K., Moradi, F. & Shreya, S. (2025). A Neuromorphic Computational Model for Spintronics-based Hopfield Oscillatory Neural Network. IEEE Transactions on Magnetics, 61(9), Article 7001105. https://doi.org/10.1109/TMAG.2025.3539977
Soni, S., Rezaeiyan, Y., Boehnert, T., Farkhani, H., Ferreira, R., Kaushik, B. K., Moradi, F. & Shreya, S. (2025). SpinONN: energy efficient brain-inspired spintronics-based Hopfield oscillatory neural network for image denoising. Neuromorphic Computing and Engineering, 5(3), Article 034001. https://doi.org/10.1088/2634-4386/ade622
Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T., Moradi, F. & Heck, M. J. R. (2020). Integration platform for optical switching of magnetic elements. In G. S. Subramania & S. Foteinopoulou (Eds.), Active Photonic Platforms XII Article 114612B SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2567662
Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. https://doi.org/10.1109/TED.2022.3179994
Shreya, S., Zamani, M., Rezaeiyan, Y., Ghanatian Najafabadi, H., Böhnert, T., Jenkins, A., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication-in-Logic Using Vortex and Precessional Oscillations in a Magnetic Tunnel Junction. IEEE Magnetics Letters, 13, Article 4505605. https://doi.org/10.1109/LMAG.2022.3224676
Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster session presented at IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828
Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Article 16722. https://doi.org/10.1038/s41598-023-43923-z
Shreya, S., Rezaeiyan, Y., Sadeghi, M., Kaushik, B. K. & Moradi, F. (2023). Low-Power Pattern Recognition System Using Spintronics Compute-in-memory Architecture. In 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (pp. 730-734). IEEE. https://doi.org/10.1109/NMDC57951.2023.10344005
Shafaghi, P., Rezaeiyan, Y., Shreya, S., Moradi, F. & Farkhani, H. (2024). Novel Circuit for In-Memory Computing within STT-RAM Memory Blocks. In J. Nurmi, J. Rodrigues, L. Pezzarossa, V. Aberg & B. Behmanesh (Eds.), 2024 IEEE Nordic Circuits and Systems Conference (NorCAS): Proceedings https://doi.org/10.1109/NorCAS64408.2024.10752464
Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. In ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings (pp. 1-5). IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182040
Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D., Eissa, S., Corradi, F., Augustine, C. & Moradi, F. (2025). NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network with a Diamond Topology for Real-Time Data Processing. IEEE Transactions on Biomedical Circuits and Systems, 19(3), 523-535. https://doi.org/10.1109/TBCAS.2024.3452635
Sadat Parvini, T., Paz, E., Böhnert, T., Schulman, A., Benetti, L., Oberbauer, F., Walowski, J., Moradi, F., Ferreira, R. & Münzenberg, M. (2023). Enhancing spin-transfer torque in magnetic tunnel junction devices: Exploring the influence of capping layer materials and thickness on device characteristics. Journal of Applied Physics, 133(24), Article 243902. https://doi.org/10.1063/5.0151480
Ronchini, M., Zamani, M., Farkhani, H. & Moradi, F. (2020). Tunable Voltage-Mode Subthreshold CMOS Neuron. In Proceedings - 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 252-257). Article 9155044 IEEE. https://doi.org/10.1109/ISVLSI49217.2020.00053
Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), Article 014001. https://doi.org/10.1088/1361-6463/ac28bb
Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2022). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. ArXiv. https://doi.org/10.48550/arXiv.2210.10565
Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2023). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. Journal of Neural Engineering, 20(3), Article 036002. https://doi.org/10.1088/1741-2552/acd029
Rezaeiyan, Y., Kolivand, Y., Zamani, M., Shoaei, O., Akbari, M., Moradi, F. & Tang, K. T. (2023). A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System. IEEE Transactions on Biomedical Circuits and Systems, 17(5), 1097-1110. https://doi.org/10.1109/TBCAS.2023.3294560
Rezaeiyan, Y., Zamani, M., Shreya, S., Farkhani, H. & Moradi, F. (2023). Spin-Torque Based Radio-Frequency Signal Classification Front-End. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10181428
Rezaeiyan, Y., Lykkeberg Madsen, N., Bohnert, T., Zamani, M., Shreya, S., Paz, E., Farkhani, H., Ferreira, R. & Moradi, F. (2023). A low-noise high-linear wide dynamic-range MTJ-based magnetic field sensor. In 2023 IEEE Nordic Circuits and Systems Conference (NorCAS) IEEE. https://doi.org/10.1109/NorCAS58970.2023.10305454
Rashidi, A., Laursen, K., Hosseini, S. & Moradi, F. (2019). An Ultrasonically Powered Optogenetic Microstimulators with Power-Efficient Active Rectifier and Charge Reuse Capability. In 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings Article 8702735 IEEE.
Rashidi, A., Laursen, K., Hosseini, S. & Moradi, F. (2019). Overvoltage Protection Circuits for Ultrasonically Powered Implantable Microsystems. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 4354-4358). Article 8857795 IEEE. https://doi.org/10.1109/EMBC.2019.8857795
Rashidi, A., Laursen, K., Hosseini, S., Huynh, H. A. & Moradi, F. (2019). An Implantable Ultrasonically Powered System for Optogenetic Stimulation with Power-Efficient Active Rectifier and Charge-Reuse Capability. IEEE Transactions on Biomedical Circuits and Systems, 13(6), 1362-1371. https://doi.org/10.1109/TBCAS.2019.2949154
Rashidi, A., Hosseini, S., Laursen, K. & Moradi, F. (2019). STARDUST: Optogenetics, Electrophysiology and Pharmacology with an Ultrasonically Powered DUST for Parkinson's Disease. In 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 (pp. 109-110). Article 8965042 IEEE. https://doi.org/10.1109/ICECS46596.2019.8965042
Rashidi, A., Laursen, K., Hosseini, S. & Moradi, F. (2020). A High-Resolution Ultrasonically Powered and Controlled Optogenetic Stimulator with A Novel Fully Analog Time to Current Converter. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3411-3414). IEEE. https://doi.org/10.1109/EMBC44109.2020.9176262
Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 6, 33-36. https://doi.org/10.1109/LSSC.2023.3239601
Pelloux-Prayer, J. M. A. & Moradi, F. (2020). Compact Model of All-Optical-Switching Magnetic Elements. IEEE Transactions on Electron Devices, 67(7), 2960 - 2965. Article 9093184. https://doi.org/10.1109/TED.2020.2991330
Oberbauer, F., Winkel, T. J., Böhnert, T., Wanjura, C. C., Claro, M. S., Benetti, L., Çaha, I., Deepak, F. L., Moradi, F., Ferreira, R., Münzenberg, M. & Parvini, T. S. (2025). Magnetic tunnel junctions driven by hybrid optical-electrical signals as a flexible neuromorphic computing platform. Communications Physics, 8(1), Article 329. https://doi.org/10.1038/s42005-025-02257-0
Nasserian, M., Kafi-Kangi, M., Maymandi Nejad, M. & Moradi, F. (2016). A Low-Power Fast Tag Comparator by Modifying Charging Scheme of Wide Fan-in Dynamic OR gates. Integration, 52(January), 129-141. https://doi.org/10.1016/j.vlsi.2015.09.004
Nasserian, M., Peiravi, A. & Moradi, F. (2016). A 1.62 µW 8-Channel Ultra-High Input Impedance EEG Amplifier for Dry and Non-Contact Biopotential Recording Applications. In 2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016: VLSI-SoC (Vol. 2016). Article 7753539 IEEE Press. https://doi.org/10.1109/VLSI-SoC.2016.7753539

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Revised 13.11.2025
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Farshad Moradi