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Events:
A Distributed Graph Approach for Retrieving Linked RDF Data Using Supercomputing systems
Large Scale Query Analysis on HPC and Cloud Systems
From Disasterville to Semantic Big Data Queries and Distributed Computing; Michael Lewis's PhD Journey
A Path Approach to Processing and Retrieving Large Scale Linked Data within a Super-Computing Environment
Michael Lewis Receives DFI Fellowship Support for UIC CS PhD
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Research:
Disaster Preparedness Training Online Gaming Demonstration
Collaboration and Visualization over High Speed Networks
The Continuum Project
Tandem
Michael Lewis
PhD Graduate, 2017
MS Graduate, 2002
EVL, Computer Science Department
mlewisaquarius@gmail.com
https://sites.google.com/site/researchlogofmike/home
Bibliography
Johnson, A., Lewis, M., Papka, M., Thiruvathakal, G., Vishwanath, V., A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers,
In the Proceedings of Semantic Big Data 2017
, Raleigh, SC, May 18, 2017
Cho, Y., Johnson, A., Krishnaprasad, N., Leigh, J., Lewis, M., Park, K., Scharver, C., CAVERNsoft G2: A Toolkit for High Performance Tele-Immersive Collaboration,
Proceedings of the ACM Symposium on Virtual Reality Software and Technology 2000
, Seoul, Korea, pp. 8-15, October 22, 2000