
About
Dr. Nicolas Green is a Reader at the University of Southampton, specializing in Microfluidics, Dielectrophoresis, and Medical Machine Learning. He is affiliated with research groups such as the Digital Health and Biomedical Engineering and the Tony Davies High Voltage Laboratory. His work focuses on lab-on-a-chip technologies, electrokinetic phenomena, and applications in biomedical diagnostics. He currently supervises PhD student Shengqi Yin and serves on the editorial board of Scientific Reports.
Key research interests include electrothermal microparticle trapping, optically induced microfluidic tweezers, and electrostatic discharge risk analysis. His projects, funded by the Royal Academy of Engineering, European Union, and EPSRC, explore advancements in microfluidics and medical AI. Notable awards include the Royal Society Brian Mercer Feasibility Award.
Dr. Green's recent publications (2021–2025) highlight innovations in metalens-based particle sorting, AI-driven sustainability solutions, and electrostatic repulsion mechanisms. His work bridges fundamental physics with practical biomedical and engineering applications.
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