Hamid Abbasi

Dr. Hamid Abbasi is a Senior Research Fellow affiliated with the Auckland Bioengineering Institute, Center for Brain Research, and Department of Physiology at the University of Auckland. His work bridges computer science, bioengineering, and clinical medicine, focusing on AI-driven solutions for neurosurgical navigation, drug discovery, and neonatal brain injury detection.

• PhD in Engineering Science (University of Auckland, 2018)
• Senior IEEE member with contributions to medical AI and signal processing

Research Interests:

• Computational imaging and physiology
• Transformer architectures for EEG analysis
• Automated biomarker detection in hypoxic-ischemic injury
• Deep learning for infant movement tracking

Recent publications demonstrate transformer models outperforming CNNs in seizure detection, scalogram-based classifiers for EEG biomarkers, and 3D data fusion techniques for clinical outcome prediction. His projects involve collaborations with Auckland Hospital, the Liggins Institute, and the Department of Exercise Sciences.

Scientific Awards:

• 2024 Future AI-Startup Award (Neurofanos)
• 2023 ABI Excellence in Research Translation Award
• 2022 Royal Society Te Apārangi Cooper Award
• 2022 Velocity $100k Challenge winner (Neurofanos team lead)

He leads PhD supervision opportunities in AI applications for neurosurgery, drug discovery, and neonatal diagnostics via the University of Auckland.