Rahul Sehgal

Country: United States

Education: PhD or Doctorate

Affiliation: Genesys Cloud Services

Domain of Research: Technology Trends,Communication,Software Engineering and Quality,Artificial Intelligence,Cellular Networks,Cloud Computing,Communication,Communication Protocols,Computational Intelligence,Computational Learning Theory,Computer Networks,Data Mining,Data Retrieval and Data Mining,Data Science,Databases,Decision Making,Distributed Computing,Distributed Systems,Evolutionary Algorithms,Evolutionary Computing,Information Retrieval,Intelligent Systems,Internet of Things,Mobile Adhoc Networks,Mobile Applications,Mobile Communications,Networking,Problem Solving,Satellite Communication Systems,Sensing and Sensor Networks,Sentiment Analysis,Simulation,Social Computing,Software Engineering,Software Quality,Web Services and Performance

Biography: Proven expertise in building mathematical models, efficient simulation tools and articulating statistical workload for comparing performance of different classes of distributed systems (e.g. disrupted networks, mobile ad hoc networks satellite communications networks, human networks using smart devices (IoT) and graph topologies) and building efficient visualization tools for structural analysis of graph data. Published journal papers in venues like ACM, SIAM and IJCA. Peer reviewed international journal articles and conference papers. Proficient in working with diverse platforms, programming languages and an ability to partner successfully across the organization.