Dr. Amirali Amirsoleimani Senior Member

Woodbridge, Ontario , Canada  •  IEEE Toronto Section
Biography
Dr. Amirali Amirsoleimani (IEEE Student Member 2009-2017, Member 2017-2023, Senior Member 2023-Now) is currently an assistant professor in department of electrical engineering and computer science at York University, Toronto, Ca. He received his Ph.D. in electrical and computer engineering from University of Windsor in Dec. 2017. He received his B.Sc. and M.Sc. degrees in electrical engineering from Razi University of Iran in 2010 and 2013, respectively. His current research includes 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 the recipient of a best poster honorable mention award at International Joint Conference on Neural Network (IJCNN) 2017 in Alaska, USA. He is also serving as a reviewer for several electrical and computer engineering journals.
Interests
Associative memory
Neural networks
Computer arithmetic
Memristors
Neuromorphics
Analog circuits
Experience
Dean/Professor/Instructor
York University
Publications
Shamsi, J., Amirsoleimani, A. Mirzakuchaki, S. Ahmade, A. Alirezaee, S., and Ahmadi, M., "Hyperbolic tangent passive resistive-type neuron," in Circuits and Systems (ISCAS), 2015 IEEE International Symposium on, 2015, pp. 581 - 584.
Abdoli, B., Amirsoleimani, A. Shamsi, J. Mohammadi, K., and Ahmadi, A., "A novel CMOS-memristor based inverter circuit design," in Electrical Engineering (ICEE), 2014 22nd Iranian Conference on, 2014, pp. 371 - 276.
Teimoory, M., Amirsoleimani, A. Shamsi, J. Ahmadi, A. Alirezaee, S., and Ahmadi, M., "Optimized implementation of memristor-based full adder by material implication logic," in Electronics, Circuits and Systems (ICECS), 2014 21st IEEE International Conference on, 2014, pp. 562 - 565.
Amirsoleimani, A., Soleimani, H. Ahmadi, A. Bavandpour, M., and Zwolinski, M., "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, 2013, pp. 1 - 6.
Soleimani, H., Ahmadi, A. Bavandpour, M. Amirsoleimani, A.A., and Zwolinski, M., "A Large Scale Digital Simulation of Spiking Neural Networks (SNN) on Fast SystemC Simulator," in Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on, 2012, pp. 25 - 30.
Education
Univ Of Windsor
Doctor of Philosophy
Engineering , 2017