Intelligent Systems Science

The following areas and topics are presently of interest in our group.

  • Quantifying Uncertainty, Recursive Estimation and Decisions (QURED)
    • Manifold approaches to Quantify Uncertainty and Recursive Estimation (ManiQURE).
    • Natural Scales in Hierarchical Uncertainty Quantification and Recursive Estimation
    • Variational Information-theoretic Inference
    • Quantifying Uncertainty for Coherent Structures using Field Coalescence
    • Learning to Predict Uncertainty using Dynamic Data Driven Deep Learning 
    • Quantifying Extreme Rare Event Tails (QuERET)
    • Ensemble Learning in Non Gaussian Data Assimilation (EL nogada)
  • Statistical Theory of Inference for Coherent Structures (stics.mit.edu):   Fluids have coherent structures in turbulence. These features have always been used to describe fluids but they are rarely used to solve inference problems. We've wondered why that is. This area considers patterns emergent in coherent fluids as a means to efficient Inference. Here are some problems we have solved: 
    • Data Assimilation by Field Alignment
    • Scale Cascaded Alignment
    • Quantifying Uncertainty for Coherent Structures using Field Coalescence
    • Coherent Random Fields and Principal Appearance and Geometry Modes
    • Field alignment for Blending Fields (FABle)
    • Adaptive Reduced Order Modeling by Alignment (AROMA)
    • Dynamically Deformable Sampling Plans
    • Field Alignment System and Testbed: Publicly released, patented codes that exploit pattern information in data assimilation.
  • Learning Related
    • Learning sparse human feedback for high recall in Animal Biometrics (sloop.mit.edu)
    • Learnability and Predictability
    • Dynamic Data Driven Deep Learning
    • Learning Machines for Parameterization, Propagation, Upscaling and Downscaling
    • Neural models of intensification and decay
    • Neural Chaos
    • Optimizing the Optimizer
  • Embedded Systems Related
    • Modeling Estimation Sampling Planning and Control Stack (MESPAC) implemented on Tegra/GPU architecture.
  • Sensing Related
  • Planning and Control Related
    • Markerless Augmented Reality
    • Visual Servo Control
    • View Point Control
    • Ensemble Control
    • Glider Photography 
    • Stochastic Dynamic Programming and Reinforcement Learning with uncertain probabilities.