There is no conflict between causality and randomness or between
determinism and probability if we agree, as we must, that scientific theories
are not discoveries of the laws of nature but rather inventions of the human
mind. --Athanasios Papoulis, in Probability, Random
Variables, and Stochastic Processes, McGraw-Hill. I am interested in realizing methodological insights by
utilizing Statistical Signal Processing &
Computational Intelligence for problems in the earth sciences, ecology or
energy. Research Projects |
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A) Information Models in Ecology, Energy and Environment |
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Vision-based Mark-Recapture for Conservation (NSF). |
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Hurricane Risk Model: Kernel methods, Random fields and simulation of hurricanes. |
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Flood Hazard Prediction: Multi-scale differential features, statistical models and phase dynamics. (Microsoft) |
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B) Experimental Fluid Dynamics |
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MIT Particle Tracker: Tracking lots of moving particles in fluids (NSF) |
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Planet in a Bottle: Realtime numerical-physical differentially heated rotating annulus.( NSF) |
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The Micro-Sub & Nano-Tags Project
(Edgerly) |
Coming soon! |
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C) Earth Systems Estimation |
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Data Assimilation by Field Alignment: Representing and minimizing error between fields jointly in phase and amplitude space. (NSF) |
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The Scale-space ensemble filter: Multiscale graphical models for data-assimilation. (NSF) |
Under construction. |
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Fixed-lag and Fixed-interval Ensemble Smoothing in quick-time: (NSF) |
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Data Assimilation by Maximizing Mutual Information (NSF) |
Under construction |
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