About

Masoud Yari is currently an assistant professor at the school of Engineering and Computing Sciences, Texas A&M University-Corpus Christi (TAMUCC). Before joining TAMUCC, he was a researcher at Indiana University, Bloomington.

 

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Research

Computer Science Research:

  • Machine Learning
  • Pattern Recognition

Applied Mathematics Research:

Nonlinear partial differential equations (PDEs), bifurcation analysis, and dynamic phase transition theory with applications in life sciences:

  • Vegetation Formation and desertification
  • Aggregation in mobile species
  • Formation of Microtubules
  • Cardiovascular Calcification
  • Inhibitor-Activator Systems
  • Pattern formation in fluids and laser

Publications

2017
  • Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach, IEEE Transactions on Geoscience and Remote Sensing 55(9):5115-22  (with M. Rahnemoonfar et al.).
2015
  • Transition of Patterns in the Cell-Chemotaxis System with Proliferation Source; Nonlinear Analysis: Theory, Methods & Applications, 117:124-132. doi
2014 
  • Phase Transition Analysis of the Dynamic Instability of Microtubules, Nonlinearity 27(9):2165; (with S. Yarahmadian). doiarxiv
2012
  • Dynamic Bifurcation of the Periodic Swift-Hohenberg Equation, Bull. Korean Math Soc, 49(5): 923-937; (with J. Han). doi , ICMS
2010
  • Transitions and Heteroclinic Cycles in the General Gierer-Meinhardt Equation and Cardiovascular Calcification Model, Nonlinear Analysis: Theory, Methods & Applications, 73:1160-1174. doi, RG
2009
  • Dynamic Bifurcation of the Complex Swift-Hohenberg Equation, DCDS-B 11(4):875-891; (with J. Han). doi
  • Dynamical Transitions of Turing Patterns, Nonlinearity 22(3): 601-626; (with H. Kaper and S. Wang). doi, ANL
2007
  • Attractor Bifurcation and Final Patterns of the N-Dimensional Swift-Hohenberg Equations, DCDS-B, 7:2  (2007)  441-456. doi , arxiv

Teaching

For Students: All lectures, assignments, and other materials are posted on Blackboard.

Courses Taught

Fall 2017

  • Numerical Methods
  • Programming for Scientists, Engineers, and Mathematicians (Problem Solving Concepts and MATLAB Programing):
  • Introduction to Problem Solving with Computers I

Spring 2017

  • Introduction to Problem Solving with Computers II (C++)
  • Designing Machine Learning Course

Fall 2016

  • Numerical Methods
  • Programming for Scientists, Engineers, and Mathematicians (Problem Solving Concepts and MATLAB Programing)

Spring 2016

  • Introduction to Problem Solving with Computers I

Fall 2015

  • Introduction to Problem Solving with Computers I

Spring 2014

  • Linear Algebra
  • Calculus I

Fall 2013

  • Calculus III
  • Calculus I

Spring 2012

  • Analysis III
  • Complex Analysis for Engineers

Fall 2011

  • ODE and DE  for Statistics majors
  • ODE for Engineer and Science Majors
  • PDE

Spring 2011

  • Mathematics Software
  • Differential Geometry for Civil Engineers

 

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