معرفی
Robert Bassett is an Assistant Professor in the departments of Operations Research and Applied Mathematics at the Naval Postgraduate School (NPS), Monterey, CA. His research focuses on data-driven decision making, optimization, and statistical methods with defense applications. He holds a PhD in Mathematics from UC Davis and previously worked at Sandia National Laboratories and the U.S. Department of Defense.
Education
- PhD in Mathematics, University of California, Davis (Dissertation: Optimization Methods in Statistics)
Research Interests
His work spans theoretical and computational aspects of decision-making, including optimization algorithms, robust statistical methods, adversarial machine learning, and signal processing. Notable areas include adversarial perturbations of physical signals, robust sensor subspace methods, and fused density estimation.
Publications Trends
Bassett's recent work emphasizes robust techniques against noise and adversarial attacks, as well as optimization algorithms for distributed systems. His articles often bridge theory and application, with contributions to machine learning security, sensor networks, and acoustic processing.
Advising & Collaborations
He has advised several students at NPS, including PhD candidate Peter Barkley and MS students Micah Oh and AJ Van Dellen. His collaborations include researchers from academia and defense sectors.
