معرفی
Dhruva Raman is an Assistant Professor in Computer Science & AI (Informatics) at the University of Sussex, affiliated with the School of Engineering and Informatics. His research focuses on computational modeling of neural circuits, particularly on how biological systems balance functional goals through mathematical and computational frameworks.
The key research theme involves understanding tradeoffs in associative learning, such as the insect mushroom body's adaptation to environmental shifts. He also explores cerebellar architecture, synaptic plasticity, and design principles that generate experimentally testable hypotheses. His work emphasizes comparative neurobiology, linking insights across species to mammalian brain structures like the cerebellum.
His recent publications span computational neuroscience, neurobiology, and systems engineering, addressing topics like prototype learning, parameter identifiability, and robustness in nonlinear systems. He has collaborated on tools such as MinimallyDisruptiveCurves.jl for computational analysis.
