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
- 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). 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
- 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)