Maaz Amjad is a postdoctoral fellow at the Steve Hicks School of Social Work at the University of Texas at Austin. He received his Ph.D. in Computer Science in 2022 from Center for Computing Research (Centro de Investigación en Computación), school of Instituto Politécnico Nacional, Mexico. His primary research interest lies in Computational Linguistics, Natural Language Processing, Artificial Intelligence, and Data Analytics. He has over five years of experience working with many AI-challenging tasks using computational linguistics, natural language processing, data analysis, machine learning, and deep learning techniques. His doctoral research seeks to identify linguistic patterns to spot fake news and misinformation in the digital Media text. Moreover, his background in mathematics and computer science gives him the advantage of contributing to exciting technological advances and solving technical and non-technical tasks with or without computer programming. He is very passionate about contributing to scientific knowledge and giving back to society, especially in social work.
At UT Austin, Dr. Maaz is a part of “Project Connect”, which aims to improve overdose reporting and prevention efforts by using community-engaged research methods to understand gaps in overdose reporting and prevention response in Texas.
In his spare time, he loves to get in touch with nature, develop social attractions with people, and learn about their valuable information. He likes to hike, explore nature, run, and play cricket in his free time. For further information, please write him at email@example.com.