Mihailo Isakov is currently a 5th year doctoral student at the Adaptive and Secure Computing Systems (ASCS) Laboratory in the Electrical and Computer Engineering Department at Texas A&M University. His research is at the intersection of computer architecture, security, machine learning, and high performance computing. More specifically, he aims to answer if and how systems can understand themselves at the microarchitecture granularity during runtime, and how such introspection can be used to better adapt the system to the workload at hand. Mihailo holds a B.S. in Computer Science from University of Novi Sad, Serbia.
System Software and Runtime Systems
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Resource Management and Scheduling
Data Analytics, Compression, and Management