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.

 

Short Bio

Contact

Research

  • Deep Learning
  • Pattern Recognition
  • Nonlinear partial differential equations

Programming Skills

C++, Python (and Pytorch and Tensorfelow), MATLAB, MAPLE

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.).
  • The First Automatic Method for Mapping the Pothole in Seagrass, In Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference, pages 267–274. IEEE (with M. Rahnemoonfar)
2016
  • Automatic Polar Ice Thickness Estimation From SAR Imagery, In SPIE Defense+ Security, pages 982902–982902. International Society for Optics and Photonics (with M. Rahnemoonfar)
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

  • Design-Analysis of Algorithm
  • Numerical Methods
  • Introduction to Problem Solving with Computers I (C++)
  • Introduction to Problem Solving with Computers II (C++)
  • Programming for Scientists, Engineers, and Mathematicians (Problem Solving Concepts and MATLAB Programing):
  • Calculus I, Calculus III
  • Linear Algebra
  • Complex Analysis for Engineers
  • Ordinary Differential Equations
  • Partial Differential Equations
  • Mathematics Softwares
  • Advanced Analysis with MAPLE
  • Differential Geometry

Graduate Projects Supervised

  • Deep Learning
  • Flood Simulation, Co-supervisor (Spring 2015)
  • Mathematical Modeling of Oxygen Transport Across the Placenta (Spring 2012)
  • Fitzhaugh Nagumo Model of Action Potential (Spring 2012)
  • Image Fusion using PDEs, Co-supervisor (Spring 2012)

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