Dr. Maryam Rahnemoonfar joined UMBC in 2019 as a Tenured Associate Professor of AI. Her research interests include Deep Learning, Computer Vision, Data Science, AI for Social Good, Remote Sensing, and Document Image Analysis. Her research specifically focuses on developing novel machine learning and computer vision algorithms for heterogenous sensors such as Radar, Sonar, Multi-spectral, and Optical. Her research has been funded by several awards including NSF BIGDATA award, Amazon Academic Research Award, Amazon Machine Learning award, and IBM.
Prior to UMBC, she was an Assistant Professor of Computer Science in the School of Engineering and Computing Sciences at Texas A&M University-Corpus Christi (TAMUCC) where she was directing Computer Vision and Remote Sensing Laboratory (Bina Lab). She is the president and founder of the Corpus Christi Women in Machine Learning and Data Science (WiMLDS) chapter and the ambassador of Women in Data Science (WiDS) at Stanford University. She received her Ph.D. degree in Computer Science from the University of Salford Manchester, UK in 2010.