George Slota

George Slota serves as an Associate Professor in the Computer Science Department within the School of Science at Rensselaer Polytechnic Institute (RPI). Previously, he held positions as a Computer Scientist at Sandia National Labs New Mexico and as a Computer Engineer at the Naval Undersea Warfare Center.

His research spans graph and network mining, big data analytics, machine learning, bioinformatics, and their intersections with parallel computing, scientific computing, and high performance computing. His work focuses on scalable algorithms for trillion-edge graphs, graph partitioning, community detection, and GPU-accelerated graph processing.

His recent publications reveal strong emphasis on

• graph coarsening and spectral methods
• distributed graph algorithms for biconnectivity and coloring
• random graph generation and validation
• GPU acceleration for graph neural networks

His research has been recognized with a prestigious NSF CAREER award supporting his project "Scalable Graph Processing to a Quadrillion Edges and Beyond."

Award:

• National Science Foundation Faculty Early Career Development (CAREER) Award

His work demonstrates consistent funding and collaboration with major national laboratories including Sandia National Labs and involvement in ExaGraph projects targeting exascale computing challenges. He maintains an active research group focused on extreme-scale graph analytics.