Arash Ahmadi

Education

• Ph.D., University of Southampton, UK.
• M.S., Tarbiat Modares University, Iran.
• B.S., Sharif University of Technology, Iran.

Research Interests

• Hardware design and optimization
• Neuromorphic and bioinspired computing
• Ambient intelligence and ubiquitous computing
• Memristor and in memory computing
• Hardware security and trust

Professional Affiliations

• Senior Member, Institute of Electrical and Electronic Engineers (IEEE)
• Professional Engineers Ontario, Canada

Selected Publications

• Jokar, E., Abolfathi, H., & Ahmadi, A. (2019). A Novel Nonlinear Function Evaluation Approach for Efficient FPGA Mapping of Neuron and Synaptic Plasticity Models. IEEE transactions on biomedical circuits and systems.
   
• Heidarpur, M., Ahmadi, A., Ahmadi, M., & Azghadi, M. R. (2019). CORDIC-SNN: On-FPGA STDP Learning with Izhikevich Neurons. IEEE Transactions on Circuits and Systems I: Regular Papers.
   
• Teimoori, M., Amirsoleimani, A., Ahmadi, A., & Ahmadi, M. (2018). A 2M1M Crossbar Architecture: Memory. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, (99), 1-11.
   
• Fatahi, M., Shahsavari, M., Ahmadi, M., Ahmadi, A., Boulet, P., & Devienne, P. (2018). Rate-coded DBN: An online strategy for spike-based deep belief networks. Biologically inspired cognitive architectures, 24, 59-69.
   
• Amirsoleimani, A., Ahmadi, M., & Ahmadi, A. (2018). Logic design on mirrored memristive crossbars. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(11), 1688-1692.