Min Chen

Min Chen is a Professor in the Computing and Software Systems Division at the School of STEM, University of Washington Bothell. Previously, she was a tenured Associate Professor at the Department of Computer Science, University of Montana. Her research focuses on multimedia big data analytics, multimedia data mining, and machine learning, with applications in interdisciplinary projects like endangered language documentation, fake news detection, and cloud-based multimedia systems.

• Education: Ph.D. in Computer Science from Florida International University (2006)

Dr. Chen has published over 90 refereed papers in journals and conferences. Her recent work explores deep learning for multimedia data, cloud-based language tools, and AI applications in social media analysis. She has secured multiple NSF grants and industry awards, including a $140,351 NSF grant (2021-2025) for prosodic analysis in endangered languages.

Scientific Awards include the Distinguished Research, Scholarship, & Creative Activities Award (UW Bothell, 2022), Best Demo Award (IEEE MIPR 2021), and Best Paper Award (IEEE IRI 2014). She serves as Chair of IEEE TCMC and Associate Editor for journals like IEEE Transactions on Multimedia.

Her teaching includes CSS 343 Data Structures, CSS 484 Multimedia Data Processing, and CSS 584 Multimedia Database Systems. While no explicit student list is provided, her publications suggest collaboration with graduate researchers on projects like MeTILDA and ClickIndia.