Eliakin Del Rosario is currently a doctoral student in the Electrical and Computer Engineering Department at Texas A&M University. His research interests lie in the design of self-aware adaptive computing systems. Specifically, high-performance architectures that use machine learning and control theory techniques to autonomously and dynamically reason about the trade-off between program needs or execution targets and available system resources, including security constraints. Eliakin holds a B.S. in Computer Science from University of the Virgin Islands (UVI). He is a UVI Cyber Scholar Fellowship Recipient. He was a Software Engineering Intern at Lawrence Livermore National Laboratory.
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