Tags - (2) electromagnetic induction imaging

Department(s)/lab(s): Melbourne School of Psychological Sciences | Garrido Cognitive Neuroscience and Computational Psychiatry Laboratory @ UMelb
Summary:

Garrido is a computational cognitive neuroscientist โ€” predictive coding, Bayesian brain models, neuroimaging biomarkers for mental health โ€” who was appointed a chief investigator of the ARC Centre of Excellence in Quantum Biotechnology specifically to work with the Melbourne and UQ physics groups on non-invasive quantum-sensor recording of human brain magnetic fields. She is the human-subject and source-reconstruction end of the QUBIC portable-brain-imager programme: her lab supplies the paradigms, the clinical cohorts and the inverse-problem modelling that a diamond- or OPM-based MEG system has to serve. Positioned against the established body of NV-ensemble quantum sensing work โ€” DEER, nanoscale NMR and T1 relaxometry protocols operating at pT/sqrt(Hz) field sensitivity โ€” she is not a sensor developer, but she is the reason the pT/sqrt(Hz)-class magnetometers being built at Melbourne have a human-trials pathway at all. Preferred attributes present in strength: bioelectromagnetism and human trials with novel quantum technologies. Included as a deliberate borderline case โ€” a sensing postdoc would be the physics half of a collaboration with this lab, not a member of it.

Department(s)/lab(s): Physics & Astronomy โ€“ AMOPP | UCL Laser Cooling and Atomic Magnetometry Group (Renzoni Group) @ UCL
Summary:

Renzoni's group is internationally recognized as a pioneer in electromagnetic induction imaging (EMI) with optical atomic magnetometers. Research directions: (1) All-optical 87Rb atomic magnetometer MIT โ€” demonstrated first magnetic induction tomography (MIT) with atomic magnetometers (2013), first EMI of biological tissues below the 1 Smโปยน threshold (Applied Physics Letters 2020), enabling non-invasive cardiac conductivity imaging; (2) Unshielded RF atomic magnetometer operation with general regression neural network auto-optimization; (3) Non-destructive evaluation โ€” industrial corrosion/defect imaging via quantum-sensitive MIT; (4) Sub-Fourier signal processing with nonlinear systems for frequency resolution beyond classical limits. Collaborates with NPL on quantum sensing standards. Applications span medicine (atrial fibrillation), security, and materials inspection.