Positions

Research Areas research areas

Overview

  • I conduct research at the intersection of machine learning and mathematics. I am primarily interested in:

    - Deep Learning/Representation Learning: Improving understanding of deep neural networks, using them in applications, and making them robust and reliable.
    - Computational Topology and Topological Data Analysis: Developing and using tools for investigating the topology of data.
    - Computational Algebra: Developing Gröbner basis theory for noncommutative algebras.
    - Data Science Education: Developing best practices for data science education.
  • Publications

    Academic Article

    Year Title
    2019 Towards the Algorithmic Detection of Artistic StyleInternational Journal of Advanced Computer Science and Applications.  10:76-81. 2019
    2018 Scaling Up: Introducing Undergraduates to Data Science Early in Their College CareersThe Journal of Computing Sciences in Colleges.  33:76-85. 2018
    2017 Data Science & Computing Across the CurriculumJournal of Computing Sciences in Colleges.  32:187-188. 2017
    2015 Weight ideals associated to regular and log-linear arraysJournal of Symbolic Computation.  67:1-15. 2015
    2013 The Number of Group Homomorphisms from $D_m$ into $D_n$College Mathematics Journal.  44:3. 2013
    2013 The Number of Group Homomorphisms from Dm into DnCollege Mathematics Journal.  44:190-192. 2013
    Teaching Neural Networks in the Deep Learning Era
    Teaching Neural Networks in the Deep Learning EraJournal of Computing Sciences in Colleges

    Conference Proceeding

    Year Title
    2019 Structured Prediction using cGANs with Fusion DiscriminatorWorkshop on Deep Generative Models for Structured Prediction at ICLR 2019. 2019
    2019 Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation)Medical Imaging 2019: Computer-Aided Diagnosis. 65. 2019
    Adapting Mask-RCNN for Automatic Nucleus SegmentationJournal of Medical Imaging.
    Neural Style Representations and the Large-Scale Classification of Artistic StyleProceedings of the Future Technologies Conference, 2017.

    Teaching Activities

  • Capstone Project Taught course 2019
  • Introduction to Analytics Taught course 2019
  • Master's Continuing Research Taught course 2019
  • Predictive Analytics I Taught course 2019
  • IS/Predictive Analytics Taught course 2018
  • Introduction to Analytics Taught course 2018
  • Linear Algebra for Application Taught course 2018
  • Calculus I Taught course 2018
  • IS/Linear Alg for Applications Taught course 2018
  • Introduction to Analytics Taught course 2018
  • Neural Networks Taught course 2018
  • Neural Networks Taught course 2018
  • Introduction to Analytics Taught course 2017
  • Linear Algebra for Application Taught course 2017
  • Introduction to Analytics Taught course 2017
  • Intro Analytics Applications Taught course 2017
  • Diff Equation w/Linear Algebra Taught course 2017
  • Foundations of Data Analytics Taught course 2017
  • Diff Equation w/Linear Algebra Taught course 2017
  • Introduction to Analytics Taught course 2017
  • Predictive Analytics I Taught course 2016
  • Calculus II Taught course 2016
  • Intro Analytics Applications Taught course 2016
  • Tools and Foundations Taught course 2016
  • Calculus II Taught course 2016
  • Diff Equation w/Linear Algebra Taught course 2016
  • Foundations of Data Analytics Taught course 2016
  • Calculus I Taught course 2016
  • Introduction to Analytics Taught course 2016
  • Statistics in Comp&Engineering Taught course 2016
  • Calculus II Taught course 2015
  • Introduction to Analytics Taught course 2015
  • Statistics in Comp&Engineering Taught course 2015
  • Foundations of Data Analytics Taught course 2015
  • Intro Analytics Applications Taught course 2015
  • Tools and Foundations Taught course 2015
  • Calculus I Taught course 2015
  • Diff Equation w/Linear Algebra Taught course 2015
  • Calculus I Taught course 2015
  • Elementary Math II Taught course 2015
  • Finite Mathematics Taught course 2015
  • Analytical Methods in Eng Tech Taught course 2014
  • Calculus I Taught course 2014
  • Elementary Math II Taught course 2014
  • AdvTop/Big Data and Beyond Taught course 2014
  • Calculus II Taught course 2014
  • Diff Equation w/Linear Algebra Taught course 2014
  • Analysis & Appl of Functions Taught course 2014
  • Calculus II Taught course 2014
  • Elementary Math II Taught course 2014
  • Top/Big Data and Beyond Taught course 2014
  • Full Name

  • Jeremiah Johnson
  • Mailing Address

  • University of New Hampshire

    Applied Engineering & Sciences

    88 Commercial Street #105

    Manchester, NH  03101

    United States