Dr. Shah Muhammad Hamdi is an Associate Professor of Computer Science at Utah State University, where he leads the Hi-dimensional Data Analytics and Mining (HiDAM) Lab. He previously served as an Assistant Professor at New Mexico State University (2020–2022). He earned his PhD in Computer Science from Georgia State University in 2020 under the supervision of Prof. Rafal Angryk and his bachelor’s degree in Computer Science from Rajshahi University of Engineering and Technology, Bangladesh, in 2014. His research advances machine learning for multivariate time series and graph data, particularly for forecasting and understanding solar flares and solar energetic particle events. He also develops cyberinfrastructure that integrates large-scale scientific data and supports reproducible space weather forecasting. He has secured over $1.3 million in extramural funding as Principal Investigator and published more than 100 refereed papers, including works in ICDM, CIKM, IEEE Big Data, and The Astrophysical Journal Supplement Series (ApJS). In 2024, he received the Outstanding Computer Science Faculty Researcher of the Year award at Utah State University.