Rate My Professor Zdenka Kuncic

Her research specializations encompass neuromorphic physical computing, biomedical physics, and astrophysics. Key focuses include developing nanowire networks that exhibit learning, memory, and critical dynamics akin to biological neural systems; applications of magnetic nanoparticles for cancer detection, imaging, and targeted therapy using PET and MRI technologies; radiation biophysics simulations for nano-scale damage in cancer therapy; and complex physical systems in biology. Notable publications include 'Neuromorphic learning, working memory, and metaplasticity in nanowire networks' (Science Advances, 2023), 'Online dynamical learning and sequence memory with neuromorphic nanowire networks' (Nature Communications, 2023), 'Avalanches and edge-of-chaos learning in neuromorphic nanowire networks' (Nature Machine Intelligence, 2021), 'Neuromorphic nanowire networks: principles, progress and future prospects for neuro-inspired information processing' (Advances in Physics: X, 2021), and 'Advances in Computational Radiation Biophysics for Cancer Therapy: Simulating Nano-Scale Damage by Low-Energy Electrons' (Journal of Biophotonics, 2014). With over 6,000 citations on Google Scholar, her contributions have advanced neuromorphic computing, bio-nanoscience, and medical physics, including demonstrations of nanowire 'brains' that learn and remember on the fly. She has delivered public lectures, such as on synthetic intelligence at the Royal Institution.