Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Explores the evolution and advantages of micromachined ultrasonic transducers, focusing on PMUTs and their applications in biometric identity verification and high-resolution imaging.
Explores extremal limit theorems, statistical analysis, and applications of extremal processes in various fields, focusing on modeling extreme events and fitting suitable models.