Andrew Reis
Master Student
Andrew Reis is a software engineer and financial analyst who is currently completing a Master of Engineering at the University of Auckland. He has extensive experience working in the investment banking industry in both Asia and North America. He is also a self-taught software engineer specialising in web-based technologies and is currently working within the field of Artificial Intelligence. His research interest is interests include Affective Computing, Human-Computer Interaction and Machine Learning.
Beyond this Andrew enjoys Brazilian Jiu-Jitsu, Hiking and e-Sports.
Publications
Striving for Authentic and Sustained Technology Use in the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-Based Science Education Platform
Chua, Y., Cooray, S., Cortes, J.P.F., Denny, P., Dupuch, S., Garbett, D.L., Nassani, A., Cao, J., Qiao, H., Reis, A, Reis, D., Scholl, P.M., Sridhar, P.K., Suriyaarachchi, H., Taimana, F., Tang, V., Weerasinghe, C., Wen, E., Wu, M., Wu, Q., Zhang, H., Nanayakkara, S.C. 2023. Striving for Authentic and Sustained Technology Use In the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-based Science Education Platform. International Journal of Human–Computer Interaction (IJHCI).
A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning
Kaluarachchi, T., Reis, A., and Nanayakkara, S.C., 2021. A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning. Sensors. 21(7):2514.
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Siriwardhana, S., Reis, A., Weerasekera, R., and Nanayakkara, S.C., 2020 Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition. Proc. Interspeech 2020, 3755-3759