Presenter

Narayanan Sundaram is a research scientist in Intel’s Parallel Computing Lab. His research interests include large scale graph analytics and machine learning. He has worked on several big data and high performance computing problems, with recent emphasis on developing fast, distributed graph analytics frameworks. He has also worked on making computer vision and machine learning algorithms computationally efficient through numerical optimizations and parallelization on multicore/GPU/clusters. He received his PhD in Electrical Engineering and Computer Science from the University of California at Berkeley.