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. |
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). doi, arxiv
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