Amirali Amirsoleimani is an assistant professor in the Department of Electrical Engineering and Computer Science at the Lassonde School of Engineering. He received his PhD in electrical and computer engineering (ECE) from University of Windsor in December 2017 and completed his postdoctoral research fellowship at the Edward S. Rogers Sr. Electrical and Computer Engineering Department at the University of Toronto in July 2021. His current research interests include application specific processing units, in-memory computing, neuromorphic hardware design and RRAM-based accelerators for artificial intelligence. He received IEEE Larry K. Wilson award for IEEE region 7 in 2016. He was also the recipient of a best poster honorable mention award at International Joint Conference on Neural Network (IJCNN) 2017 in Alaska, USA. He is a guest editor in Frontiers in Electronics and Frontiers in Nanotechnology journals and is also serving as a reviewer for several electrical and computer engineering journals including IEEE Transactions on Circuits and Systems I (TCASI), TCAS II, TNANO, TVLSI, TED, Frontiers in Neuro-Science, Microelectronics journal, Neural Computing and Applications.
- Hardware for Artificial Intelligence
- Neuromorphic Computing
- Emerging Memory Technologies
- Bio-Inspired Computing
- In-Memory Computing
- (2020) A. Amirsoleimani, et al, ”In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives”, Advanced Intelligent Systems (AISY), Wiley Publication.
- (2020) M. R. Azghadi, et al, “CMOS and Memristive Hardware for Neuromorphic Computing” Advanced Intelligent Systems (AISY), Wiley Publication. (Selected as Journal Cover Article for AISY)
- (2020) T. Liu, A. Amirsoleimani, et al, “AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators”, IEEE Transaction on Circuits and Systems II: Express Briefs (TCASII).
- (2018) M. Teimoory, A. Amirsoleimani, et al, “A 2M1M Crossbar Architecture: Memory”, IEEE Transactions on Very Large Scale Integration (TVLSI).
- (2017) A. Amirsoleimani, et al, “Logic Design on Mirrored Memristive Crossbar”, IEEE Transaction on Circuits and Systems II: Express Briefs (TCASII).
- (2017) A. Amirsoleimani, et al, “Accurate charge transport model for nanoionic memristive devices”, Microelectronics Journal, Elsevier.
- (2017) A. Amirsoleimani, et al, “STDP-based unsupervised learning of memristive spiking neural network by Morris-Lecar model”, International Joint Conference on Neural Networks (IJCNN) 2017, Alaska, USA. (Selected for Best Poster Honorary Mention Award).