The research focus is the intersection of parallel programming (HPC) and machine learning (AI). Research on AI-assisted program analysis to detect performance bugs and runtime bottlenecks of complex parallel programs and applications. Additionally, AI-assisted analysis for correctness and automated testing of parallel programs is another direction of research. The research will be focused on novel embedding techniques for code representation and semantics using state-of-the-art learning approaches such graph neural networks tailored for parallel programs.

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