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Nitin Sukhija

Institution/Organization: Slippery Rock University of Pennslyvania.

Department: Computer Science.

Academic Status: Faculty.

What conference theme areas are you interested in:

Computational science and machine learning;
High performance software: packages and design;
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.