Nitin Sukhija
Institution/Organization: Slippery Rock University of Pennslyvania.
Academic Status: Faculty.
What conference theme areas are you interested in:
Computational science and machine learning;
Algorithms at extreme scales;
Data science, analytics, and visualization.
Interests:
High performance computing, dynamic load balancing, performance and energy modeling, prediction and evaluation, robustness and resilience analysis, self-healing systems, grid computing, cyberinfrastructure and virtual organizations, fault tolerance in cloud computing, autonomic systems and monitoring methods for autonomic failure detection and recovery, big data analytics and cyber security.