Peter Sherman

Peter Sherman is an Associate Professor of Statistics at Iowa State University, with appointments bridging the College of Liberal Arts and Sciences and the College of Engineering. He holds a PhD in Statistics (1984), MS (1975), and BS (1974) from the University of Wisconsin, Madison. His academic career includes teaching courses such as Statistical Theory for Researchers, Time Series Analysis, and interdisciplinary engineering classes like Multidisciplinary Design and Feedback Control Systems.

• Education:
  • PhD in Statistics (1984), University of Wisconsin, Madison
  • MS in Statistics (1975), University of Wisconsin, Madison
  • BS in Statistics (1974), University of Wisconsin, Madison

Sherman's research focuses on statistical modeling of stochastic processes, particularly in rotating machinery and engineering systems. His work spans spectral estimation for mixed random processes, Kalman filtering for planetary defense applications, and defectivity modeling in semiconductor manufacturing. He has contributed to signal processing techniques for health monitoring, quantum random walks, and vibration analysis in aerospace systems.

His recent publications highlight advancements in Extended Kalman Filtering, spectral analysis of quasi-periodic systems, and stochastic characterization of rotating machinery. Applications of his work extend to diverse fields including astrophysics (asteroid risk assessment), biomedical engineering (adipocyte analysis), and financial time series prediction.