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Hi, I am Khaled. I received a Ph.D. degree in Computer Science from Indiana University Bloomington. The primary focus of my Ph.D. research was on high-performance computing for large-scale graph analytics. It includes large-scale graph representation learning, deep learning for graphs, graph visualization, graph neural networks, graph machine learning, and clustering. I design graph analytics algorithms and implement them in high-performance environments such as OpenMP and MPI. My experience is extended from high-level machine learning system design to low-level hardware-specific kernel optimization (using intrinsic codes). I am proficient in PyTorch, PyTorch-Geometric, and Deep Graph Library (DGL). My Ph.D. supervisor is Prof. Ariful Azad. I received an M.S. degree in Computer Science from Indiana University Bloomington (IUB) in 2019. I received a B.Sc. degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 2013.