Benjamin Kuznets-Speck with Michael Hinzcewski Andrew Eckford and Peter Thomas
Cut your losses:
A rate-distortion-thermodynamic approach to molecular communication Benjamin Kuznets-Speck
Molecular communication is a central facet of problems ranging from deciphering the principles governing physiological signaling (occurring constantly in cellular and neuronal transduction networks), to optimization in synthetic biology, and foundational...
William Spallino with David Kazdan
Informing Architectural-Acoustical Design with Musical Details
Music performance spaces are currently subject to vague design guidelines and long calibrations after their completion. However, the field of architectural acoustics is developing many new, more precise means of testing proposed designs; those new processes are best complemented by...
Logan Smith with Julia DobrosotkayaAnalysis and processing of hyperspectral data with the purpose of classificationHyperspectral imaging is an advanced imaging technique that measures visible and near-infrared light reflecting off a surface. Hyperspectral imagery has a wide range of applications from geospatial sciences to ecology, surveillance and more. A hyperspectral...
Robert Taylor with David GurarieAnalysis of Bifurcations and Abrupt Transitions in Energy Balance Models (EBM) coupled to green-house-gas emissions (GHG).Simple energy balance models with temperature dependent albedo (reflected fraction of incoming radiation) can exhibit hysteresis and rapid transitions between “warm” and “cold” equilibrium states. Another important factor that affects...
Jacob Derzon with Justin Gallagher
Evaluation of US Renewable Portfolio Standards in Terms of Effectiveness and Intention
In the past several decades, there have been several attempts by lawmakers to increase the use of renewable resources in various states through legislation known as the renewable portfolio standard (RPS), which mandates increased...
Oliver Ernst with Erkki Somersalo
Optimal Current Patterns and Resolution Limitations of the Bayesian Methodology in EIT
One of the applications of the Bayesian methodology is to the determination of the electrical admittivity distribution from measurement data in Electrical Impedance Tomography (EIT). Since this inverse problem is ill-posed, a spectrum of...
Nathan Harmon with Paul Harding
Improved Photometry of Metal-Poor Giants in the Kepler Field
Astroseismology is capable of measuring the properties of the interior of stars, for red giants an accurate measure of their age can then be derived. The purpose of this project is to find potentially old stars which...
Thomas Norton with Wojbor A. Woyczyński
Stochastic Differential Equations Driven by Compound Poisson and Lévy Processes
Stochastic differential equations (SDEs) provide a rigorous setting for investigating the dynamics of systems subject to “noise,” by which we mean source terms whose behavior is not deterministic, but governed by a probability distribution. The...
Andrew O’Desky with John F. R. DuncanDynkin Diagrams and the Groups of Umbral MoonshineElliptic curves are number theoretic objects with many important applications in mathematics, cryptography, string theory and beyond. The supersingular elliptic curves in prime characteristic constitute a special family, and in 1974 Andrew Ogg showed that there...