Gautam Anand
Senior Lecturer
Organisation :
Auckland University of Technology
Sector:
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Location:
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Biography
I am a Senior Lecturer and biomedical engineering researcher at Auckland University of Technology. My research focuses on wearable and non-invasive physiological sensing, biomedical signal processing, computational modelling and AI-enabled health monitoring.
I work with multimodal signals including bioimpedance, ECG, EEG, PPG and impedance cardiography. My AI interests include multimodal data fusion, explainable machine learning, physics-informed AI, probabilistic modelling and personalised physiological assessment.
My current health applications include cardiovascular monitoring, dementia and neurodegeneration, diabetic foot and chronic wound monitoring, and cardiometabolic health. I am particularly interested in developing AI systems that are clinically meaningful, physiologically grounded, robust to real-world variability and suitable for use in community and home settings.
Research Projects and Ideas
Current projects include arrhythmia-aware haemodynamic monitoring in heart failure, low-density wearable EEG for cognitive decline, and non-invasive sensing for diabetic-foot and wound assessment. Future work will develop uncertainty-aware, privacy-preserving and clinically validated models for longitudinal monitoring across home, community and hospital settings.
Collaborations and Skills
I seek collaborations with clinicians, community organisations, AI researchers and medtech partners for access to datasets, co-design and clinical validation. I can offer expertise in wearable sensing, bioimpedance, ECG, EEG, PPG, physiological modelling, multimodal signal analysis, prototype development, postgraduate supervision and joint funding applications.
Connections of interest
I am interested in connecting with researchers and clinicians in cardiovascular health, dementia, diabetes and wound care; experts in multimodal, explainable and physics-informed AI; Māori and Pacific health partners; groups with longitudinal clinical datasets; and collaborators in implementation, regulation, commercialisation and multicentre research.
Speciality(s)
AI Speciality(s):
Digital Twins
Model & Tool Development
Simulation
Wearables
Explainable AI & Interpretability
Signal Processing
Synthetic Data
Research Expertise:
Health Speciality(s):
Mental Health
Other