3 citations · 3 across the 6 of their papers we have counts for
6 papers
Online Meal Detection Based on CGM Data Dynamics
Ali Tavasoli, Heman Shakeri
We utilize dynamical modes as features derived from Continuous Glucose Monitoring (CGM) data to detect meal events. By leveraging the inherent properties of underlying dynamics, th…
Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors
Ali Tavasoli, Heman Shakeri
This paper examines the use of operator-theoretic approaches to the analysis of chaotic systems through the lens of their unstable periodic orbits (UPOs). Our approach involves thr…
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra
Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri
This paper presents an interpretable machine learning approach that characterizes load dynamics within an operator-theoretic framework for electricity load forecasting in power gri…
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
Ali Tavasoli, Teague Henry, Heman Shakeri
Networks are landmarks of many complex phenomena where interweaving interactions between different agents transform simple local rule-sets into nonlinear emergent behaviors. While…
Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri
The second smallest eigenvalue of the Laplacian matrix is determinative in characterizing many network properties and is known as algebraic connectivity. In this paper, we investig…
Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties
Heman Shakeri, Ali Tavassoli, Ehsan Ardjmand +1
We discuss the design of interlayer edges in a multiplex network, under a limited budget, with the goal of improving its overall performance. We analyze the following three problem…