Research spans artificial intelligence, machine learning, data science, high-performance computing, and scalable graph analytics, with emphasis on parallel algorithm design, operational data analysis, dynamic systems, and energy-efficient computing for large-scale scientific and infrastructure applications.
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Accelerating Scientific Discovery through Graphbased Agentic Retrieval-Augmented Generation: A Scalable Framework for Material Science and Cross- Domain Knowledge Synthesis
US Department of Energy
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$41,000
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2026 - 2026
Pinpointing Intersection Bottlenecks: A Spatio- Temporal Graph-based Big Data Framework for Isolating Bus Delay using GPS and Signal Timing Logs
Launch Tennessee, Vanderbilt University
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$40,000
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2026
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