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Ariful Azad is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University. He received his Ph.D. in Computer Science from Purdue University in 2014 and a B.S. in Computer Science Engineering from Bangladesh University of Engineering and Technology in 2006. His research interests lie in high-performance computing, graph algorithms, graph machine learning, and bioinformatics, contributing to advancements in computational methodologies in these areas. Azad has received several accolades including the CAREER Award from the National Science Foundation in 2024 and the Trustee's Teaching Award from Indiana University in 2024. Additionally, he was honored with the Early Career Award from the U.S. Department of Energy in 2021, highlighting his impactful contributions to his field.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.