The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Genomic signal processing (GSP) is an interdisciplinary field that integrates methodologies from digital signal processing with genomics to elucidate the underlying structure of DNA. Central to this ...

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

Explore the frontier of medical technology by developing a cutting-edge system to analyze speech biomarkers and revolutionize diagnostic practices. In this project, our objective is to develop a ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...