Mihailo Isakov is a PhD student at the Adaptive and Secure Computing Systems (ASCS) Laboratory at Texas A&M University. Mihailo's research focuses on investigating neuromorphic computing systems. In particular, he explores architectural support for machine learning algorithms prone to parallelization and efficient hardware implementation. Currently, he is investigating novel neural architectures and accelerating deep neural networks by constraining them to fast, low-power and highly parallelizable operations.
Embedded and Cross-Layer Security