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, they do not reach their full potential. Recently, through the use of Riemannian geometry, we proposed a nonparametric framework for change-point detection in manifold-valued data streams [1]. We applied
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major challenge with dynamic structured data is finding representations that can effectively handle their underlying geometry, which is often defined by application-specific pseudo-distances. A common
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Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
to leverage AI for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI
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you an excellent candidate for our faculty. We are now seeking outstanding candidates in all areas below: · Mathematics: Computational and applied mathematics; probability and stochastic analysis; data
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find a unified representation for the two modalities that allow an effective fusion. A large body of work simply projects LiDAR points to images using projective geometry (e.g.,[5, 6]) and uses the image
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, differential geometry, partial differential equations, number theory, probability. Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity. Applied