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Humbert, James Sean Professor

Positions

Research Areas research areas

Research

research overview

  • Prof. Humbert’s research include perception, reduction and feedback principles in biology. Nervous systems have evolved to make useful reductions of sensory-rich high dimensional data, forming simple representations that allow animals to perform well with limited computation in the presence of uncertainty. His laboratory works with biologists to apply control- and information-theoretic tools to formalize these principles in small animals such as insects, providing insight into the biology and resulting in novel, robust and computationally efficient solutions for small-scale engineered systems.

keywords

  • Bio-inspired sensing, estimation, and control, insect visual processing, autonomous robotics, flight dynamics, flight control and avionics, dynamical systems, modeling of biological systems, soft robotics

Publications

selected publications

Teaching

courses taught

  • ASEN 5014 - Linear Control Systems
    Primary Instructor - Fall 2018
    Introduces the theory of linear systems, including vector spaces, linear equations, structure of linear operators, state space descriptions of dynamic systems, and state feedback control methods. Recommended prerequisite: ASEN 3200 or equivalent or instructor consent required.
  • MCEN 2043 - Dynamics
    Primary Instructor - Spring 2018 / Spring 2019
    Covers dynamic behavior of particle systems and rigid bodies; 2-D and 3-D kinematics and kinetics; impulse, momentum, potential, and kinetic energy; and work, collision, and vibration.
  • MCEN 5228 - Special Topics in Mechanical Engineering
    Primary Instructor - Fall 2018 / Fall 2019
    Subject matter to be selected from topics of current interest. May be repeated up to 15 credit hours. Same as MCEN 4228.

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

Other Profiles