Saurav Prakash
Distributed Computing, Federated Learning COMPUTER-COMMUNICATION NETWORKS, PERFORMANCE OF SYSTEMS, PROBABILITY AND STATISTICS, INFORMATION STORAGE AND RETRIEVAL, ARTIFICIAL INTELLIGENCE, DOCUMENT AND TEXT PROCESSING, LEGAL ASPECTS OF COMPUTING, PERSONAL COMPUTING Distributed Computing Federated Learning Computer-Communication Networks Performance of Systems Probability and Statistics Information Storage and Retrieval Artificial Intelligence Document and Text Processing Legal Aspects of Computing Personal Computing Distributed and Parallel Computing Systems Cooperative Communication and Network Coding IoT and Edge/Fog Computing Privacy-Preserving Technologies in Data Computer Networks and Communications

Bio

Saurav Prakash is a PhD candidate at the University of Southern California, specializing in distributed computing and federated learning. His research spans computer communication networks, performance of systems, probability and statistics, information storage and retrieval, artificial intelligence, document and text processing, legal aspects of computing, and personal computing. He has authored 29 publications, accumulating over 300 citations, with an h-index of 12 and an i10-index of 13. His notable works include 'Coded Computing for Distributed Graph Analytics' and a CFD assessment of wheat flow in cyclones. He is also affiliated with the University of Illinois Urbana-Champaign and serves as a reviewer for multiple journals. His academic identifiers include ORCID 0000-0002-1911-4062, OpenAlex A5019288145, and Scopus 57200885347.

Educational Journey

University of Southern California

PhD candidate

Experience

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0 - Present

California Southern University

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Editors Role

Reviewer

GJCST

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Research

No publications found.