Nanette Veilleux is a professor in the computer science and information technology department. Her research interests include primary research in computational models of speech, as well as investigations of pedagogical methods in STEM education. The first topic involves primary research into the categories of English prosody (emphasis and phrasing) and can be used to improve automatic speech understanding. The later topic involves an approach to pedagogy that is not only effective to convey discipline knowledge but also encourages students to remain and thrive in their disciplines. She is principle investigator on a collaborative NSF funded grant on Prosody and Meaning and an active member in the HHMI Simmons team.
Courses
- CS 112 Introduction to Computer Science
- CS 232 Data Structures
- CS 330 Programming Languages
- CS 346 Machine Learning
- Independent Studies in Humanitarian and Free Open Sourced Software (Food Pantries) and Automatic Speech Recognition for Lower-Resourced Languages
Research/Creative Activities
- Computational models of prosody
- Pedagogical methods to increase STEM retention and student success
Awards
- Computing Research Association-Education (CRA-E) Undergraduate Research Faculty Mentoring Award, 2022.
- 2022 IEEE Computer Society Mary Kenneth Keller Computer Science and Engineering Undergraduate Teaching Award