Areas of Interest
- Machine Learning (Differentiable Models, Fast Algorithms), Numerical Analysis (Fast Multipole Methods, Data Structures), Spatial Audio, Computational Electromagnetics
Degrees
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Ph.D.Mechanical Engineering and Applied Mathematics, The Johns Hopkins University
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A focus on solving problems for which biological systems provide an existence proof that a solution is possible. I use mathematical modeling and computation, as well as building systems.
Research Methods
Bayesian models
ML/AI
Fast computation of wave propagation
Research Interests
Artificial Intelligence
Computer Vision
Auditory neuroscience
Nanoparticles

Neuroscience and Cognitive Science
Phone
Email
ramanid [at] umd.edu