Estrid He

Dr. Estrid He is a Senior Lecturer at RMIT University's School of Computing Technologies. She obtained her PhD from the University of Melbourne in 2020, where she subsequently served as a postdoctoral research fellow. Her research bridges natural language processing, data mining, and deep learning optimization, with applications spanning healthcare, communications, and algorithmic fairness.

Research Focus:

• Core NLP techniques for knowledge extraction from complex texts (patents, medical records)
• Enhancing security/efficiency of deep learning models in resource-constrained environments
• Multimodal learning integrating text, sensor data, and biomedical signals
• Fairness-aware AI systems for computer vision and graph neural networks

Her publication portfolio demonstrates strong cross-disciplinary collaboration, with recent work in:

• Wireless communications (terahertz signal processing, 6G hardware)
• Biomedical applications (brain disorder prediction, clinical NLP)
• Generative models for sensor data and multimodal content
• Algorithmic fairness in computer vision and graph networks

She actively supervises graduate research, with current projects including:

• Graph learning for brain disorder prediction
• Multimodal health data mining
• Privacy-preserving AI for urban sensing
• Integration of spiking neural networks with LLMs