Steven Louis, Special Instructor, Department of Electrical and Computer Engineering
Dodge Hall, Room 118, (248) 370 - 3873
Email: slouis@oakland.edu
Embedded Files
Projects:
Neuromorphic Computing
Fast, broadband spectrum analysis with spintronic oscillators.
Broadband nanoscale harvester of microwave radiation.
Passive demodulation on low-power frequency-modulated (FM) signals with spintronic diodes.
Using magnetic nanodot arrays as a platform for magnonic circuitry.
Developing algorithms for spintronic neural networks.
Steven Louis is a Special Instructor in the Department of Electrical and Computer Engineering at Oakland University. His active research portfolio centers on spintronics, with a special emphasis on developing magnetic tunnel junction (MTJ)–based neuromorphic computing architectures and spintronic oscillators for high-speed spectrum analysis. He has pioneered a rapid sweep-tuned spectrum analyzer based on spin-torque nano-oscillators, and he explores passive FM demodulation using spintronic diodes. Current projects include leveraging magnetic nanodot arrays for magnonic circuitry and creating algorithms for spintronic neural networks. Graduate and undergraduate students can access his LTSpice models and download his OU thesis/dissertation LaTeX template directly from this site. His recent publications in IEEE Magnetics Letters, Nano Letters, and Physical Review Applied highlight innovations in antiferromagnetic neuron modeling and low-power microwave detection using spintronics.
As a Special Instructor of Electrical and Computer Engineering at Oakland University, Steven Louis brings over five years of dedicated teaching experience to undergraduate and graduate students. He teaches a broad range of core courses—Quantum Computing / Quantum Computer Design, Electromagnetics I, Introductory Digital Logic Design, Electric Circuits I & II, and Electronic Circuits and Devices I & II—while overseeing approximately fifteen laboratory sections each semester. In these labs, he mentors teaching assistants and guides students through hands-on experiments in circuit analysis, digital logic implementation, and quantum circuit design. His commitment to integrating cutting-edge research into the curriculum is reflected in custom LTSPice lab manuals and AC circuits lab guides, ensuring students gain practical skills in circuit simulation, signal processing, and spintronics fundamentals. Each academic year, he instructs roughly 500 students, fostering collaborative learning through projects, demonstrations, and student-driven research assignments. By blending rigorous theoretical foundations with real-world applications—such as designing spintronic neural circuits and analyzing antiferromagnetic oscillator behavior—he prepares the next generation of engineers to tackle global challenges in neuromorphic computing, quantum technology, and advanced electromagnetic systems.
OU Thesis/Dissertation in Latex, November 2024 Update
If you are an OU student, you can download my un-official Latex template formatted according to OU guidelines here.
Old versions:
Publications, Updated May 2025
S. Louis, H. Bradley, A. Litvinenko, and V. Tyberkevych, “A physics-based circuit model for magnetic tunnel junctions,” arXiv preprint arXiv:2503.20813, 2025. [Online]. Available: https://arxiv.org/abs/2503.20813
S. Louis, H. Bradley, and V. Tyberkevych, “Equivalent electric model of a macrospin,” arXiv preprint arXiv:2503.20811, 2025. [Online]. Available: https://arxiv.org/abs/2503.20811
S. Louis, H. Bradley, C. Trevillian, A. Slavin, and V. Tyberkevych, “Spintronic neuron using a magnetic tunnel junction for low-power neuromorphic computing,” IEEE Magnetics Letters, pp. 1–5, 2024. [Online]. Available: https://doi.org/10.1109/LMAG.2024.3484957
S. Louis, H. Bradley, C. Trevillian, A. Slavin, and V. Tyberkevych, “Spintronic neuron using a magnetic tunnel junction for low-power neuromorphic computing,” arXiv preprint, vol. arXiv:2409.09268, 2024. [Online]. Available: https://arxiv.org/abs/2409.09268
H. Bradley, S. Louis, A. Slavin, and V. Tyberkevych, “Pattern recognition using spiking antiferromagnetic neurons,” Scientific Reports, vol. 14, no. 1, p. 22373, 2024. [Online]. Available: https://www.nature.com/articles/s41598-024-69480-7
H. Bradley, L. Quach, S. Louis, and V. Tyberkevych, “Antiferromagnetic artificial neuron modeling of the withdrawal reflex,” Journal of Computational Neuroscience, vol. 52, no. 3, pp. 197–206, 2024. [Online]. Available: https://link.springer.com/article/10.1007/s10827-024-00873-3
H. Bradley, S. Louis, C. Trevillian, L. Quach, E. Bankowski, A. Slavin, and V. Tyberkevych, “Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing,” AIP Advances, vol. 13, no. 1, 2023. [Online]. Available: https://pubs.aip.org/aip/adv/article/13/1/015206/2871233
A. Litvinenko, A. Sidi El Valli, V. Iurchuk, S. Louis, V. Tyberkevych, B. Dieny, A. Slavin, and U. Ebels, “Ultrafast ghz-range swept-tuned spectrum analyzer with 20 ns temporal resolution based on a spin-torque nano-oscillator with a uniformly magnetized free layer,” Nano Letters, vol. 22, no. 5, pp. 1874–1879, 2022. [Online]. Available: https://pubs.acs.org/doi/abs/10.1021/acs.nanolett.1c04031
Y. Xiong, J. Inman, Z. Li, K. Xie, R. Bidthanapally, J. Sklenar, P. Li, S. Louis, V. Tyberkevych, H. Qu, Z. Xiao, W. Kwok, V. Novosad, Y. Li, F. Ma, and W. Zhang, “Tunable magnetically induced transparency spectra in magnon-magnon coupled Y3Fe5O12/permalloy bilayers,” Physical Review Applied, vol. 17, no. 4, p. 044010, 2022. [Online]. Available: https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.17.044010
J. Inman, Y. Xiong, R. Bidthanapally, S. Louis, V. Tyberkevych, H. Qu, J. Sklenar, V. Novosad, Y. Li, X. Zhang, and W. Zhang, “Hybrid magnonics for short-wavelength spin waves facilitated by a magnetic heterostructure,” Physical Review Applied, vol. 17, no. 4, p. 044034, 2022. [Online]. Available: https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.17.044034
Litvinenko, A., V. Iurchuk, P. Sethi, S. Louis, V. Tiberkevich, J. Li, A. Jenkins, et al. 2020. “Experimental Demonstration of a Rapid Sweep-Tuned Spectrum Analyzer with Temporal Resolution Based on a Spin-Torque Nano-Oscillator.” ArXiv:2004.03508 [Physics], April. http://arxiv.org/abs/2004.03508.
Artemchuk, P. Yu., O. R. Sulymenko, S. Louis, J. Li, R. S. Khymyn, E. Bankowski, T. Meitzler, V. S. Tyberkevych, A. N. Slavin, and O. V. Prokopenko. “Terahertz Frequency Spectrum Analysis with a Nanoscale Antiferromagnetic Tunnel Junction.” Journal of Applied Physics 127, no. 6 (February 14, 2020): 063905. https://doi.org/10.1063/1.5140552.
Fang, Bin, Mario Carpentieri, Steven Louis, Vasyl Tiberkevich, Andrei Slavin, Ilya N. Krivorotov, Riccardo Tomasello, et al. “Experimental Demonstration of Spintronic Broadband Microwave Detectors and Their Capability for Powering Nanodevices.” Physical Review Applied 11, no. 1 (January 10, 2019). https://doi.org/10.1103/PhysRevApplied.11.014022.
Louis, Steven, Olga Sulymenko, Vasil Tiberkevich, Jia Li, Daniel Aloi, Oleksandr Prokopenko, Ilya Krivorotov, Elena Bankowski, Thomas Meitzler, and Andrei Slavin. “Ultra-Fast Wide Band Spectrum Analyzer Based on a Rapidly Tuned Spin-Torque Nano-Oscillator.” Applied Physics Letters 113, no. 11 (September 10, 2018): 112401. https://doi.org/10.1063/1.5044435.
Louis, Steven, Vasyl Tyberkevych, Jia Li, Ivan Lisenkov, Roman Khymyn, Elena Bankowski, Thomas Meitzler, Ilya Krivorotov, and Andrei Slavin. “Low Power Microwave Signal Detection With a Spin-Torque Nano-Oscillator in the Active Self-Oscillating Regime.” IEEE Transactions on Magnetics 53, no. 11 (November 2017): 1–4. https://doi.org/10.1109/TMAG.2017.2694847.
Duan, Li-Sha, Meng-Jun Wang, Feng Sun, Zhen-Jiang Zhao, Mei Xing, Yu-Feng Zang, Steven Louis, Sheng-Jie Cui, Jian-Ling Cui, and Han Zhang. “Characterizing the Blood Oxygen Level-Dependent Fluctuations in Musculoskeletal Tumours Using Functional Magnetic Resonance Imaging.” Scientific Reports 6, no. 1 (December 2016). https://doi.org/10.1038/srep36522.
Louis, Steven, Ivan Lisenkov, Sergei Nikitov, Vasyl Tyberkevych, and Andrei Slavin. “Bias-Free Spin-Wave Phase Shifter for Magnonic Logic.” AIP Advances 6, no. 6 (June 2016): 065103. https://doi.org/10.1063/1.4953395.
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