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Veronica Liesaputra imageOwheo Building, Room 2.48
Tel +64 3 470 3493
Email veronica.liesaputra@otago.ac.nz

I earned my BCMS(Hons) and PhD in Computer Science from the University of Waikato in 2012. Prior to joining the Department of Computer Science in 2020, I had worked at Google (Mountain View, USA), European Media Laboratory (Heidelberg, Germany) and Yunnan University (Kunming, China).

My primary research focus is centered on human-oriented AI, which sits at the intersection of natural language processing, information retrieval, computer vision, machine learning, deep learning and human-computer interaction. Within this domain, I am particularly interested in creating novel explainable AI models that could not only benefit humans in various ways but also provide comprehensible explanations for their decisions and predictions. This includes the ability to answers questions based on various medical images and documents to assist with medical diagnosis and treatment decisions; to simplify explanation of legal cases in language accessible to non-experts; or to facilitate cross-lingual Māori-English document search and translation.

Publications

Johnston, C., Leong, S. Y., Teape, C., Liesaputra, V., & Oey, I. (2024). Low-intensity pulsed electric field processing prior to germination improves in vitro digestibility of faba bean (Vicia faba L.) flour and its derived products: A case study on legume-enriched wheat bread. Food Chemistry, 499, 139321. doi: 10.1016/j.foodchem.2024.139321 Journal - Research Article

Thekkekara, J. P., Yongchareon, S., & Liesaputra, V. (2024). An attention-based CNN-BiLSTM model for depression detection on social media text. Expert Systems with Applications, 294(Part C), 123834. doi: 10.1016/j.eswa.2024.123834 Journal - Research Article

Wang, X., Liesaputra, V., Liu, Z., Wang, Y., & Huang, Z. (2024). An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification. Artificial Intelligence in Medicine, 147, 102738. doi: 10.1016/j.artmed.2023.102738 Journal - Research Article

Wang, X., Liu, Z., Liesaputra, V., & Huang, Z. (2024). Feature specific progressive improvement for salient object detection. Pattern Recognition, 147, 110085. doi: 10.1016/j.patcog.2023.110085 Journal - Research Article

Leong, S. Y., Johnston, C., Teape, C., Liesaputra, V., & Oey, I. (2023). High-protein bread from legumes and protein isolates to improve bread quality and nutrition. Proceedings of the New Zealand Institute of Food Science & Technology (NZIFST) Conference: Food in a Changing World. (pp. 48-49). Retrieved from https://nzifst.org.nz Conference Contribution - Published proceedings: Abstract

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