LCRAIN

LAB FOR COMPUTING RESEARCH AND INNOVATION

Join LCRAIN

PUBLICATIONS

Book Chapters

  1. M. A. Kaleem, J. Cai, M. R. Azghadi, Y. F. Chang, R. Genov, A. Amirsoleimani, “Memristive Devices Non-idealities and The Mitigation Techniques”, Memristor Devices and Applications, IntechOpen Publishing, 2024. (Edited by: Dr. Yao-Feng Chang)
  2. B. Walters, C. Lammie, J. Eshraghian, C. Yakopcic, T. Taha, R. Genov, M. V. Jacob, A. Amirsoleimani, and M. R. Azghadi, “Memristive Devices for Neuromorphic and Deep Learning Applications”, in Advanced Memory Technology: Functional Materials and Devices, Chapter 26, Royal Society of Chemistry, 2023.
  3. A. Amirsoleimani, F. Alibart, S. Eccofey, R. Genov, D. Drouin, “Mitigating State-Drift in Resistive Crossbar Accelerators”, in Memristors, IntechOpen Publishing, 2021. (Edited by: Dr. Yao-Feng Chang)
  4. 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. (Edited by: Dr. Yao-Feng Chang)

Journal Publications

  1. B. Walters, Y. Bethi, T. Kergan, B. Nguyen, A. Amirsoleimani, J. Eshraghian, S. Afshar, M. R. Azghadi, “NEUROMORSE: A Temporarily Structured Dataset For Neuromorphic Computing”, Neuromorphic Computing and Engineering, 2024. (Submitted)
  2. V. Tran, D. Chen, S. Kvatinsky, R. Genov, A. Amirsoleimani, “GMACS: Generalized Memristive Approximate Computing System”, IEEE Transactions on Computer-aided Design, 2024. (Submitted)
  3. B. Walters, H. R. Kalatehbali, Z. Cai, R. Genov, A. Amirsoleimani, J. Eshraghian, M. R. Azghadi, ”Efficient sparse spiking auto-encoder for reconstruction, denoising and classification”, in Neuromorphic Computing and Engineering, 2024.
  4. J. Cai, M. R. Azghadi, R. Genov, A. Amirsoleimani, ”HyperXArray: Low-power and Compact Memristive Architecture for In-Memory Encryption on Edge”, in IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. (Submitted)
  5. M. Khaleqi Qalejoogh, F. Behbahani, A. Amirsoleimani, M. R. Azghadi, “Anti-ferroelectric Carbon Nanotube Transistors for Compact and Energy-Efficient Neuromorphic Synapse and Leaky Integrate-and-Fire Neuron”, in IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. (Submitted)
  6. X. Dong, A. Amirsoleimani, M. R. Azghadi, R. Genov, “WALLAX: True Random Number Generator Design Using CMOS-Memristor”, in Neurocomputing, 2024.
  7. Z. Cai, H. R. Kalatehbali, B. Walters, M. R. Azghadi, A. Amirsoleimani, R. Genov, “Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks”, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023.
  8. X. Dong, B. Chen, F. Alibart, S. Eccofey. D. Drouin, R. Genov, A. Amirsoleimani, ”SITU: Stochastic Input Encoding and Weight Update Thresholding for Efficient Memristive Neural Network In-Situ Training”, in Neurocomputing, 2024.
  9. Z. Cai, H. R. Kalatehbali, J. Eshraghian, F. Alibart, M. R. Azghadi, R. Genov, A. Amirsoleimani, “BSTDP: Binarized STDP Learning with Robust Performance using Single Spike Per Neuron”, in Frontiers on Neuroscience, 2023. (Submitted)
  10. T. Zhang, C. Lammie, A. Amirsoleimani, R. Genov, M.R. Azghadi, “A Survey of Spike Sorting Hardware Implementations: From Template Matching to Computing in Memory”, in Journal of Neural Engineering, 2023.
  11. H. You, A. Amirsoleimani, J. Xu, M. R. Azghadi, R. Genov, “A Subranging Nonuniform Sampling Memristive Neural Network-based Analog-to-Digital Converter”, in Memories – Materials, Devices, Circuits and Systems, 2023.
  12. X. Dong, L. Primaeu, R. Genov, M. R. Azghadi, A. Amirsoleimani, “Memristive Stochastic Differential Equation Solver”, in Advanced Intelligent Systems, 2023.
  13. 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”, in IEEE Transactions on Circuits and Systems II: Express Brief, 2024. (Revised and Submitted)
  14. M. R. Pazhouhandeh, A. Amirsoleimani, I. Weisspapir, P. Carlen, R. Genov, “Adaptively Clock-boosted Auto-ranging Neural-interface for Emerging Neuromodulation Applications”, in IEEE Transactions on Biomedical Circuits and Systems, 2023.
  15. C. Li, C. Lammie, A. Amirsoleimani, M. R. Azghadi, R. Genov, “Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks”, Software Impacts, 2023.
  16. V. Yon, A. Amirsoleimani, F. Alibart, R.G. Melko, D. Drouin, Y. Beilliard, “Exploiting non-idealities of resistive switching memories for efficient machine learning”, in Frontiers Electronics, 2022.
  17. C. Li, C. Lammie, X. Dong, A. Amirsoleimani, M. R. Azghadi, R. Genov, “Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks”, in IEEE Transactions on Biomedical Circuits and Systems, 2022.
  18. T. Liu, A. Amirsoleimani, F. Alibart, S. Eccofey, D. Drouin, and R. Genov, “CODEX: Stochastic Inference Method to Relax Memristive VMM Accelerator Design”, in IEEE Transactions on Circuits and Systems II: Express Brief, 2021.
  19. A. Amirsoleimani, F. Alibart, V. Yon, J. Xu, M. R. Pazhouhandeh, S. Eccofey, Y. Beilliard, R. Genov, D. Drouin, “In-Memory Vector-Matrix Multiplication in Monolithic CMOS-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives”, in Advanced Intelligent Systems Journal, Wiley Publication, 2020.
  20. 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)
  21. 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.
  22. A. Amirsoleimani, M. Ahmadi, A. Ahmadi, ”Logic design on mirrored memrisitive crossbars”, in IEEE Transactions on Circuits and Systems II: Express briefs, 2018.
  23. M. Teimoory, A. Amirsoleimani, M. Ahmadi, A. Ahmadi, ”A 2M1M crossbar architecture: Memory”, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018.
  24. 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.
  25. 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

Details of this publications can be found on Google Scholar.

  1. A. Makhlooghpour, A. Ahmadi, A. Amirsoleimani, “D2ECG: Deep-Shift DNN-based ECG Classifier for Resource Efficient Hardware Implementation”, in 2024 22nd IEEE International NEWCAS Conference (NEWCAS), 2024.
  2. E. Zhang, J. Cai, M. R. Azghadi, R. Genov, A. Amirsoleimani, “Manhattan Rule to Train Robust Memristive Deep Neural Network Accelerators”, in 2024 22nd IEEE International NEWCAS Conference (MWSCAS), 2024.
  3. D. Chen, A. Amirsoleimani, M. Rahimi Azghadi, R. Genov, M. Ahmadi, “POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application”, 2024 Latin American Circuits and Systems Conference (LASCAS), 2024.
  4. A. Ahrar, J. Xu, M. R. Pazhouhandeh, M. R. Azghadi, A. Amirsoleimani, “Toward Accurate Analysis of Channel Charge Injection in SAR ADCs’ Capacitive DACs”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  5. V. Tran, D. Chen, M. R. Azghadi, R. Genov, A. Amirsoleimani, “BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  6. A. Gong, A. Amirsoleimani, M. R. Azghadi, R. Genov, “NURODE: In-Memory Crossbar Core for Hodgkin-Huxley Model ODE-based Computations”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  7. Z. Cai, H. R. Kalatehbali, M. R. Azghadi, R. Genov, A. Amirsoleimani, “Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  8. J. Cai, M. A. Kaleem, R. Genov, M. R. Azghadi, A. Amirsoleimani, “In-Memory Transformer Self-Attention Mechanism Using Passive Memristor Crossbar”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  9. H. You, J. Xu, A. Amirsoleimani, M. R. Azghadi, R. Genov, “SAR-MemPipe: Innovative Hybrid Pipeline-SAR Memristive ADC for Analog Resistive Arrays”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  10. B. Walters, Z. Cai, H. R. Kalatehbali, R. Genov, A. Amirsoleimani, M. R. Azghadi, “Spiking Autoencoders for Pattern Classification”, in 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  11. T. Zhang, A. Amirsoleimani, J. K. Eshraghian, M. R. Azghadi, R. Genov, Y. Xia, “SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction”, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023.
  12. J. Cai, M. A. Kaleem, A. Amirsoleimani, R. Genov, “HESSPROP: Mitigating Memristive DNN Weight Mapping Errors with Hessian Backpropagation”, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023. (Invited to TCAS2)
  13. A. Alsharaawi, R. Genov, A. Amirsoleimani, “SEVDA: Singular Value Decomposition Based Parallel Write Scheme for Memristive CNN Accelerators”, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023.
  14. M. A. Kaleem, J. Cai, A. Amirsoleimani, R. Genov, “A Survey of Ensemble Methods for Mitigating Memristive Neural Network Non-idealities”, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023.
  15. L. Primaue, X. Dong, A. Amirsoleimani, R. Genov, “HUXIN: In-Memory Crossbar Core for Integration of Biologically Inspired Stochastic Neuron Models”, in 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023.
  16. Z. Cai, H. R. Kalatehbali, A. Amirsoleimani, R. Genov, “STDG: Fast and Lightweight SNN Learning Technique Using Spike Temporal Locality”, in 2023 IEEE Biomedical Circuits and Systems Conference (BIOCAS), 2023.
  17. H. You, J. Xu, M. R. Azghadi, A. Amirsoleimani, R. Genov, “MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals”, in 2023 IEEE Biomedical Circuits and Systems Conference (BIOCAS), 2023.
  18. C. Lammie, J. Eshraghian, C. Li, A. Amirsoleimani, W. Lu, R. Genov, M. R. Azghadi, “Design space exploration of dense and sparse mapping schemes for RRAM architectures”, in Circuits and Systems (ISCAS), 2022, IEEE International Symposium, 2022.
  19. L. Primeau, A. Amirsoleimani, R. Genov, ”SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars”, in Circuits and Systems (ISCAS), 2022, IEEE International Symposium, 2022.
  20. J. Cai, A. Amirsoleimani, R. Genov, “HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array”, in Circuits and Systems (ISCAS), 2022, IEEE International Symposium, 2022.
  21. A. Alsharaawi, A. Amirsoleimani, R. Genov, “PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators”, in Circuits and Systems (ISCAS), 2022, IEEE International Symposium, 2022.
  22. X Dong, A. Amirsoleimani, M. R. Azghadi, R. Genov, “In-Memory Memristive Transformation Stage of Gaussian Random Number Generator”, in 2022 IEEE Conference on Omni Intelligence (COINS), 2022.
  23. 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.
  24. 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)
  25. A. Amirsoleimani, M. Ahmadi, A. Ahmadi. ”A Memristive CVNS Analog Adder”, in 2017 IEEE European Conference on Circuit Theory and Design (ECCTD), 2017.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.