Dr. Naeemul Hassan is an assistant professor at the Philip Merrill College of Journalism and the College of Information Studies of the University of Maryland. He is also an affiliate professor in the department of computer science. He directs the Computational Journalism Lab (https://cjlab-umd.github.io/). He has interests in research areas related to Big Data and Data Science, including Database, Data Mining, and Natural Language Processing. His current research focus is on Computational Journalism and Social Sensing. His recent research projects involve automated fact-checking, credible health information, and misinformation detection. He has built computational technologies (e.g., BaitBuster, ClaimBuster) that have been used by professional journalists to automate fact-checking and identify potential misinformation. Before joining UMD, he was an assistant professor in the Computer and Information Science department at the University of Mississippi. He earned a doctoral degree in Computer Science from the University of Texas at Arlington in 2016.