Rate My Professor Veronica Liesaputra

Veronica Liesaputra is a Senior Lecturer in the Department of Computer Science within the School of Computing at the University of Otago, where she joined in 2020. She earned a BCMS(Hons) and a PhD in Computer Science from the University of Waikato, completing her doctoral thesis on 'Realistic Electronic Books' from 2006 to 2010 under the supervision of Professors Ian Witten and David Bainbridge. Prior to her appointment at Otago, she held positions at Google in Mountain View, USA; the European Media Laboratory in Heidelberg, Germany; and Yunnan University in Kunming, China. Her expertise includes big data mining, Internet of Things, health informatics, machine learning, information retrieval, and human-computer interaction.

Liesaputra's research specializes in human-oriented AI, bridging natural language processing, information retrieval, computer vision, machine learning, deep learning, and human-computer interaction. She focuses on creating explainable AI models that deliver comprehensible explanations for decisions and predictions. Key applications encompass question-answering from medical images and documents for diagnosis and treatment, accessible explanations of legal cases for non-experts, and cross-lingual Māori-English document search and translation. As a member of the Otago AI Group, her contributions appear in prominent journals. Selected publications include Wang, Liesaputra, & Huang (2025), 'Gated parallel feature fusion multi-task learning for motor imagery EEG classification,' Expert Systems with Applications; Johnston et al. (2024), 'Low-intensity pulsed electric field processing prior to germination improves in vitro digestibility of faba bean (Vicia faba L.) flour...,' Food Chemistry; Thekkekara, Yongchareon, & Liesaputra (2024), 'An attention-based CNN-BiLSTM model for depression detection on social media text,' Expert Systems with Applications; Wang et al. (2024), 'An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification,' Artificial Intelligence in Medicine; and Liesaputra & Witten (2009), 'Computer graphics techniques for modeling page turning.'