Edward Dougherty

 Edward Dougherty

Edward T. Dougherty

  • Courses3
  • Reviews10
Apr 28, 2020
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

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Difficulty
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Helpfulness

Awesome

Professor Dougherty is great. He's knowledgeable and a good teacher. He gives a lot of extra credit as well. He's absolutely a beast.

Biography

Roger Williams University - Mathematics



Experience

  • Roger Williams University

    Assistant Professor of Mathematics

    Edward worked at Roger Williams University as a Assistant Professor of Mathematics

  • Rowan University

    Assistant Professor of Mathematics

    Edward worked at Rowan University as a Assistant Professor of Mathematics

  • MIT Lincoln Laboratory

    Technical Staff

    Edward worked at MIT Lincoln Laboratory as a Technical Staff

  • Pine Manor College

    Assistant Professor of Mathematics

    Edward worked at Pine Manor College as a Assistant Professor of Mathematics

Education

  • Tufts University

    Master of Science (MS)

    Biomedical Engineering

  • Virginia Polytechnic Institute and State University

    Doctor of Philosophy (PhD)

    Biomathematics, Bioinformatics, and Computational Biology

  • Syracuse University

    Bachelor of Science (BS)

    Computer Engineering

Publications

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization

    Computational and Mathematical Methods in Medicine

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization

    Computational and Mathematical Methods in Medicine

  • Using matrix population models to inform biological control management of the wheat stem sawfly, Cephus cinctus

    Biological Control

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization

    Computational and Mathematical Methods in Medicine

  • Using matrix population models to inform biological control management of the wheat stem sawfly, Cephus cinctus

    Biological Control

  • Epidemiological Modeling of News and Rumors on Twitter

    Proceedings of the 7th Workshop on Social Network Mining and Analysis

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization

    Computational and Mathematical Methods in Medicine

  • Using matrix population models to inform biological control management of the wheat stem sawfly, Cephus cinctus

    Biological Control

  • Epidemiological Modeling of News and Rumors on Twitter

    Proceedings of the 7th Workshop on Social Network Mining and Analysis

  • An Object-Oriented Framework for Versatile Finite Element Based Simulations of Neurostimulation

    Computational Medicine

  • Efficient Implicit Runge-Kutta Methods for Fast-Responding Ligand-Gated Neuroreceptor Kinetic Models

    Biomath

  • Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion

    Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining

  • Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization

    Computational and Mathematical Methods in Medicine

  • Using matrix population models to inform biological control management of the wheat stem sawfly, Cephus cinctus

    Biological Control

  • Epidemiological Modeling of News and Rumors on Twitter

    Proceedings of the 7th Workshop on Social Network Mining and Analysis

  • An Object-Oriented Framework for Versatile Finite Element Based Simulations of Neurostimulation

    Computational Medicine

  • Systematic Reverse Engineering of Network Topologies: A Case Study of Resettable Bistable Cellular Responses

    PLoS ONE

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