معرفی
Dr. Saurabh Prasad is a Professor in the Department of Electrical and Computer Engineering at the University of Houston's Cullen College of Engineering. He directs the Machine Learning and Signal Processing Laboratory and serves as Associate Editor for IEEE Signal Processing Letters and IEEE Transactions on Geoscience and Remote Sensing.
Education:
- Ph.D., Mississippi State University
- M.S., Old Dominion University
- B.Tech, Jamia Millia Islamia
Research Focus: His work bridges machine learning, signal processing, and remote sensing with applications in hyperspectral image analysis, GeoAI, and biomedical imaging. Key methodologies include adversarial learning, domain adaptation, and transformer architectures for geospatial data interpretation.
Publication Trends: Recent articles demonstrate strong emphasis on foundation models for semantic segmentation, domain generalization techniques for satellite imagery, and adversarial robustness in geospatial AI, with applications spanning flood mapping, anomaly detection, and biomedical microscopy.
Awards & Honors:
- State Pride Faculty Award (2010)
- Graduate Student Research Award (2008)
- Best Student Paper Award, IGARSS (2008)
- Graduate Research Assistant of the Year (2007)
Laboratory Leadership: Directs the Machine Learning and Signal Processing Laboratory, focusing on hyperspectral imaging algorithms and geospatial intelligence systems.
