Associate Professor Sally Jo Cunningham
Associate Professor (Computer Science)
Qualifications: BA BS Tennessee PhD Louisiana
Phone: +64 7 838 4402
About Sally Jo
I received degrees in Computer Science and Asian Studies from the University of Tennessee, and a PhD in Computer Science from Louisiana State University. I have been a lecturer with the University of Waikato since 1990.
My research interests include, machine learning, digital libraries, computer education and computer applications in textiles. Current activities can be grouped into two main headings:
I am a member of the Waikato ML research group, and am particularly interested in applications of ML to text databases.
Areas of focus here include research into factors encoraging/discouraging the participation of women in tertiary computing education programs; the effective use of conferencing systems in computing courses; and an examination of library and writing anxiety in computing majors.
Daoud, M., Mayo, M., & Cunningham, S. J. (2019). RBFA: Radial Basis Function Autoencoders. In 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) (pp. 2966-2973). Wellington, NZ. doi:10.1109/CEC.2019.8790041
Cunningham, S. J. (2019). An analysis of Arabic language music queries: Design considerations for an Arabic music digital library. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries Vol. 2019-June (pp. 331-332). doi:10.1109/JCDL.2019.00056
Cunningham, S. (2019). Interacting with personal music collections. In N. G. Taylor, C. Christian-Lamb, M. H. Martin, & B. Nardi (Eds.), Information in Contemporary Society. iConference 2019. Lecture Notes in Computer Science Vol. 11420 (pp. 526-536). Cham: Springer. doi:10.1007/978-3-030-15742-5_50
Bainbridge, D., Hinze, A., Cunningham, S. J., & Downie, J. S. (2018). MEDDLEing with digital library searches: surmounting user model and system misalignments through lightweight bespoke proxying. In Proc 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018) (pp. 409-410). Conference held Fort Worth, Texas: ACM. doi:10.1145/3197026.3203873 Open Access version: https://hdl.handle.net/10289/11938