Profile for
Adam Bowden, M.S.
Instructor

  • Alum
  • Faculty
Department of Mathematics
Contact Adam
Website
Office
Education North 101
Related Department
Department of Mathematics
Year Graduated
2019

Education

  • M.S., Computer Science, Texas A&M University-Commerce (now East Texas A&M University), 2019
  • M.S., Mathematics, Texas A&M University-Commerce (now East Texas A&M University), 2014
  • B.S., Computer Science, Texas A&M University-Commerce (now East Texas A&M University), 2012
  • A.S., Computer Science, Paris Junior College, 2010

Academic Positions

  • Instructor, Texas A&M University-Commerce (now East Texas A&M University), 2015-present
  • Ad Interim Instructor, Texas A&M University-Commerce (now East Texas A&M University), 2014-2015
  • Adjunct Instructor, Paris Junior College, 2014, 2015, 2023
  • Graduate Assistant-Teaching, Texas A&M University-Commerce (now East Texas A&M University), 2012-2014

Publications

  • N.M. Sirakov, A. Bowden, M. Chen, L.H. Ngo, M. Luong, Embedding vector field into image features to enhance classification, Journal of Computational and Applied Mathematics, Volume 441, 2024, 115685, ISSN 0377-0427, https://doi.org/10.1016/j.cam.2023.115685.
  • O. Igbasanmi, N.M. Sirakov, A. Bowden, CNN for Efficient Objects Classification with Embedded Vector Fields, Studies in Computational Intelligence, 2023
  • Bowden, A., Sirakov, N.M. Active Contour Directed by the Poisson Gradient Vector Field and Edge Tracking. J Math Imaging Vis (2021). https://doi.org/10.1007/s10851-021-01017-3
  • Bowden, A. & Sirakov, N. M. (2015). Applications of the Euler – Lagrange Poisson Active Contour in Vector Fields, Overcoming Noise, and Line Integrals. Differential Equations and Dynamical Systems – Series B.
  • Bowden, A., Todorov, M. D., & Sirakov, N. M. (2014). Implementation of the Euler-Lagrange and Poisson Equations to Extract One Connected Region. AIP Conference Proceedings, 1629(1), 400-407.

Research Projects

Related News

Machine Learning and Image Processing

Machine learning and image processing are closely related fields that focus on enabling computers to interpret, analyze, and make decisions based on visual data.

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