Ozgur Kilic

Ozgur Kilic is a Researcher at the Computational Science Initiative of Brookhaven National Laboratory, specializing in high-performance computing (HPC) and AI/ML-driven scientific workflows. His work focuses on optimizing computational efficiency, resource management, and data resilience in large-scale systems.

• Education:
  • Ph.D. in Computer Science, State University of New York at Binghamton

Research Interests: Ozgur investigates scientific workflow management, asynchronous task execution in heterogeneous environments, memory trace analysis, and performance modeling. His work addresses challenges in virtualization overheads and scalability for accelerated systems.

Recent Publications Trends: His recent work emphasizes interoperability in HPC workflows, asynchronous execution frameworks, memory diagnostics, and redefining computational efficiency metrics like Amdahl's Law in accelerated systems.

Laboratory Affiliation: Ozgur is part of the Computational Science Initiative at Brookhaven National Laboratory, contributing to data-driven discovery and HPC innovation.