Khaled is a 5th-year PhD candidate in the Department of CS at Georgia State University, USA. His research passion centers on deriving insights from vast, complex networks through cutting-edge data mining and graph learning. He is presently enhancing hypergraph representation learning, focusing on structure knowledge and dynamic adaptation. With an integration of semantic and structural insights, he's refining the Hypergraph Transformer Network.His forward-looking research vision involves addressing the noise in hypergraphs by crafting a function that sifts through irrelevant nodes and hyperedges. He envisions this while dynamically tailoring the structure for specific applications. Khaled's fervor for graph mining and learning techniques is evident in his keen interest in bioinformatics. He's excited by the prospects of hypergraph models revealing intricate relations, paving the way for groundbreaking insights in bioinformatics.Khaled is looking for full-time and internship positions anywhere in the USA. He would like but not be limited to work in any positions related to Machine Learning, Deep Learning, NLP, Data Science, Software Engineering, Social Media Analysis, Bioinformatics, and BigData-related problems. Skills: --------• Python, PySpark, C, C++, JAVA. Graph and Hypergraph Neural Network, traditional Deep Learning, and Machine Learning. NLP, Bioinformatics, Drug Discovery, Recommender Systems. . Big data management, algorithms for big data, and related tools like Hadoop, HDFS, HIVE, HBase, Flume, etc. Career Summary: --------------------. Research Assistant, Data Engineering Lab, CS, Georgia State University, Atlanta, USA.. AI Researcher and Data Scientist Intern, Summer-22, KROLL, Richardson, Texas.• Research Assitant, Data Engineering Lab, CS, Oklahoma State University, USA