Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), 2023
Evaluation of graph-based anomaly detection for Chimbuko performance analytics in large-scale supercomputing applications.
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Published in 2023 International Conference on Machine Learning and Applications (ICMLA), 2023
Graph representation learning method that transforms tabular HPC performance data into graphs for performance prediction.
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Published in 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024
Graph-based application-performance representation for anomaly classification in HPC using graph neural networks.
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Published in arXiv preprint arXiv:2506.04049, 2025
Explainable HPC decision-support framework that turns complex system logs into interpretable signals for early anomaly detection.
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Published in arXiv preprint arXiv:2506.20674, 2025
Distributed GPU trace-analysis framework that reduces memory overhead and improves scalability for large HPC log pipelines.
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Published in arXiv preprint arXiv:2510.18300, 2025
Distributed causal analysis framework for GPU traces that identifies root causes of performance variability in HPC workloads.
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Published in arXiv preprint arXiv:2604.22688, 2026
Decision-intelligence framework for HPC configuration optimization using uncertainty-aware ranking and explainable recommendations.
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Undergraduate Course, Department of Computer Science, Texas State University, 2022
I was involved in Teaching Assistance of Computer Architechture course in the Fall-2022, working with Mr. Gregory Lakomski and Dr. Ted Lehr.