Iman Tahamtan earned his Ph.D. in Communication and Information from the University of Tennessee in Knoxville (UTK) in 2021. He is currently a lecturer at the School of Information Sciences at UTK and a User Experience (UX) Researcher at the Machine Learning at Intelligence Operations (MLIO) Group and JPMorgan Chase, where he conducts generative and evaluative research to support the development of ML models and intelligent tools. His research interests include Research Impact, Social Media, HCI, and Digital Health. He has been a member of the Association for Information Science and Technology (ASSI&T) since 2016 and has served in different roles including the Communications Officer at the Health Informatics Special Interest Group (SIG/HLTH) from 2018 to January 2022 and the International Paper Contest (IPC) Jury at the Special Interest Group for International Information Issues (SIG/III) in 2021. His doctoral dissertation identified how the public utilized hashtags, as user-generated metadata, to communicate with each other and frame their opinion about the COVID-19 pandemic and which frames received more public attention on Twitter (https://www.jmir.org/2021/9/e30800). His dissertation also used the network agenda-setting model to explore the mutual connections between the World Health Organization’s (WHO) agenda and its followers on Twitter regarding the COVID-19 pandemic (https://www.jmir.org/2022/4/e34321). His findings provided evidence that governments, practitioners, organizations, activists, and authorities can use social media platforms to effectively communicate to the public during future public health emergencies. Iman is the 2-time recipient of the Graduate Student Research Award at the College of Communication and Information at UTK in 2018 and 2021, and the 2-time recipient of the Edward J. Meeman Fellowship for Successful Academic Performance at UTK in 2020 and 2021. Find more information about Iman Tahamtan at https://sites.google.com/view/imantahamtan.