Book Chapters

1. A. Amirsoleimani, F. Alibart, S. Eccofey, R. Genov, D. Drouin, “Mitigating State-Drift in Resistive Crossbar Accelerators”, in Memristors, IntechOpen Publishing, 2021. in Memristors, IntechOpen Publishing, 2021.
2. M. Teimoori, A. Amirsoleimani, A. Ahmadi, M. Ahmadi, “Development of Compute-in-Memory Memristive Crossbar Architectures with Composite Memory Cells”, in Memristors, IntechOpen Publishing, 2021.

Journal Publications

1. X. Dong, A. Amirsoleimani, M. Rahimi Azghadi, and R. Genov, “WALLAX: A Memristor-based Gaussian Random Number Generator“, (Submitted to TCAS1)
2. C. Li, C. Lammie, A. Amirsoleimani, M. Rahimi Azghadi, R. Genov, “Memristive Seizure Detection and Prediction by Using Parallel Convolutional Neural Networks“, (Submitted to IEEE TBIOCAS)
3. V. Yon, A. Amirsoleimani, F. Alibart, R. G. Melko, D. Drouin, Y. Beilliard, “Exploiting Non-idealities of Resistive Switching Memories for Efficient Machine Learning Computing“, (Submitted to Frontiers on Nanotechnology).
4. J. Xu, A. Amirsoleimani, M. R. Pazhouhandeh, F. Alibart, S. Eccofey. D. Drouin, and R. Genov, “A Robust 12-bit Digital Analog Convertor (DAC) design for Large-Sized Vector Matrix Multiplication Hardware”, (Submitted to IEEE TCAS2).
5. T. Liu, A. Amirsoleimani, F. Alibart, S. Eccofey, D. Drouin, and R. Genov, “CODEX: Stochastic Inference Method to Relax Memristive VMM Accelerator Design”, (Accepted in IEEE TCAS2).
6. A. Amirsoleimani, F. Alibart, V. Yon, J. Xu, M. R. Pazhouhandeh, S. Eccofey, Y. Beilliard, R. Genov, D. Drouin, “In-Memory Vector-Matrix ultiplication in Monolithic CMOS-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives”, in Advanced Intelligent Systems Journal, Wiley Publication, 2020.
7. M. Rahimi Azghadi, Y. Chen, J. Chen, J. Eshraghian, C. Lin, A. Amirsoleimani, A. Mehonic, A. J. Kenyon, B. Fowler, J. C. Lee, and Y. Chang, “CMOS and Memristive Hardware for Neuromorphic Learning and Computation”, in Advanced Intelligent Systems Journal, Wiley Publication, vol. 5, no. 2, 2020. (Selected as a Journal Cover article on May 2020)
8. T. Liu, A. Amirsoleimani, F. Alibart, S. Eccofey, D. Drouin, and R. Genov, “AIDX: Adaptive Inference Scheme to Mitigate State-drift in Memristive VMM Accelerators”, in IEEE Transactions on Circuits and Systems II: Express Brief, 2020.
9. A. Amirsoleimani, M. Ahmadi, A. Ahmadi, ”Logic design on mirrored memrisitive crossbars”, in IEEE Transactions on Circuits and Systems II: Express briefs, 2018.
10. M. Teimoory, A. Amirsoleimani, M. Ahmadi, A. Ahmadi, ”A 2M1M crossbar architecture: Memory”, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018.
11. A. Amirsoleimani, J. Shamsi, M. Ahmadi, A. Ahmadi, S. Alirezaee, K. Mohammadi, M. A. Karami, C. Yakopcic, O. Kavehei, S. Alsarawi, ”Accurate Charge Transport Model for Nanoionic Memristive Devices”, in Microelectronics Journal, 2017.
12. J. Shamsi, A. Amirsoleimani, K. Mohammadi, M. Ahmadi, ”Modular Neuron Comprised of Memristor-Based Synapse”, Neural Computing and Application, Springer Journal, pp. 1-6, January, 2017.

Conference Publications

1. J. Cai, A. Amirsoleimani, Roman Genov, “HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array“, Accepted in Circuits and Systems (ISCAS), 2022, IEEE International Symposium on, May, 2022.
2. L. Primaue, A. Amirsoleimani, R. Genov, “SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars“, Accepted in Circuits and Systems (ISCAS), 2022, IEEE International Symposium on, May, 2022.
3. A. Al-Sharaawi, A. Amirsoleimani, R. Genov, “PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators“, Accepted in Circuits and Systems (ISCAS), 2022, IEEE International Symposium on, May, 2022.
4. C. Lammie, J. Eshraghian, C. Li, A.i Amirsoleimani, R. Genov, W. Lu, M. Rahimi Azghadi, “Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures“, Accepted in Circuits and Systems (ISCAS), 2022, IEEE International Symposium on, May, 2022.
5. X. Dong, A. Amirsoleimani, M. Rahimi Azghadi, R. Genov, “GRINX: In-Memory Memristive TransformationStage of Gaussian Random Number Generator” Submitted to IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2022.
6. T. Zhang, C. Lammie, Amirali Amirsoleimani, M. Rahimi Azghadi, R. Genov, “Toward A Streamlined Approach for Spike Sorting Algorithms and Hardware Evaluation” Submitted to IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2022.
7. A. Sasi, A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”A Memristive Median Filter for Image Processing Applications”. in 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2018.
8. A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”STDP-based Unsupervised Learning of Memristive Spiking Neural Network by Morris-Lecar Model”, in International Joint Conference on Neural Network (IJCNN), 2017 IEEE International Symposium on, May, 2017. (Best Poster Honorable Mention Award)
9. A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”A Memristive CVNS Analog Adder”, in 2017 IEEE European Conference on Circuit Theory and Design (ECCTD), 2017.
10. M. Teimoory, A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”A CMOS-Memristor Multiplier design based on Universal Logic Gates”. in the 30th IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2017.
11. A. Sasi, A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”A Memristor-based Linear Feedback Shift Register Design”. in 2017 IEEE International Conference on Circuits and Systems (ICECS), 2017.
12. M. R. Jahromi, J. Shamsi, A. Amirsoleimani, K. Mohammadi, M. Ahmadi, “Ultralow Power Op-Amp Compensated With Memristor”, in Electrical and Computer Engineering (CCECE), 2017 IEEE Canadian Conference on, 2017.
13. S. Haghiri, S. Feizi, A. Amirsoleimani, A. Ahmadi, M. Ahmadi, ”Memristor-Based Binary Multiplier”, in Electrical and Computer Engineering (CCECE), 2017 IEEE Canadian Conference on, 2017.
14. A. Amirsoleimani, M. Ahmadi, A. Ahmadi, M. Boukadoum, ”Brain-inspired Pattern Classification with Memristive Neural Network Using the Hodgkin-Huxley Neuron”, in Proceedings of the 23rd IEEE International Conference on Circuits and Systems (ICECS), December, 2016.
15. A. Amirsoleimani, M. Ahmadi, M. Teimoory, A. Ahmadi, ”4:2 compressor cells design with nanoionic memristive devices”, in Circuits and Systems (ISCAS), 2016, IEEE International Symposium on, May, 2016.
16. M. Teimoory, A. Amirsoleimani, A. Ahmadi, S. Alirezaee, S. Salimpour, M. Ahmadi, ”Memristor-Based Linear Feedback Shift Register Based on Material Implication Logic”, 2015 IEEE European Conference on Circuit Theory and Design (ECCTD), pp. 1-4, August, 2015.
17. J. Shamsi, A. Amirsoleimani, S. Mirzakouchaki, A. Ahmadi, S. Alirezaee, M. Ahmadi, ”Hyperbolic Tangent Passive Resistive-type Neuron”, Circuits and Systems (ISCAS), 2015 IEEE International Symposium on, May, 2015.
18. M. Teimoory, A. Amirsoleimani, J. Shamsi, A. Ahmadi, S. Alirezaee, M. Ahmadi, ”Optimized Implementation of Memristor-based Full-adder by Material Implication Logic”, Proceedings of the 21st IEEE International Conference on Circuits and Systems (ICECS), December, 2014.
19. B. Abdoli, A. Amirsoleimani, J. Shamsi, K. Mohammadi, A. Ahmadi, ”A novel CMOS-memristor based inverter circuit design”, In Electrical Engineering (ICEE), 2014 22nd Iranian Conference on, pp. 371-276. IEEE, 2014.
20. A. Amirsoleimani, H. Soleimani, A. Ahmadi, M. Bavandpour, M. Zwolinski, ”Modeling the Effect of Process Variations on the Delay and Power of the Digital Circuit Using Fast Simulators”, In Electrical Engineering (ICEE), 2013 21st Iranian Conference on, pp. 1-6. IEEE, 2013.
21. H. Soleimani, A. Ahmadi, M. Bavandpour, A. Amirsoleimani, M. Zwolinski, ”A Large Scale Digital Simulation of Spiking Neural Networks (SNN) on Fast SystemC Simulator”, IEEE 14th International Conference on Computer Modeling and Simulation, UKSim, Cambridge, United Kingdom, pp. 25-30. IEEE, 2012