• Home
  
• Publications
  
• Teaching
  
• Talks
  
• Synergistic Activities
  
• SIAM Gators
  
• Photos
  
• Links

(A) Published in Refereed Journals

1. Bregman Operator Splitting with Variable Stepsize for Total Variation Image Reconstruction
Y. Chen, W. W. Hager, M. Yashtini, Y. Ye and H. Zhang,
Computational Optimization and Applications, 54(2)(2013) 317-342

2. Image Fusion Algorithms Based On LCLS Method and Artificial Neural Networks for Color and Gray Level Images
A. Malek and M. Yashtini,
Neurocomputing 73(4)(2010)937-943.

3. A Neural Network Model for Solving Nonlinear Optimization with Real -time Application
A. Malek and M. Yashtini ,
ISNN(3)(2009)98-108.

4. Discrete-time Neural Network for Solving Nonlinear Convex Problems with Hybrid Constraints
M. Yashtini and A. Malek ,
Applied Mathematics and Computation 195(2)(2008)576-584.

5. Solving Complementarity and Variational Inequalities Problems using Neural Networks
M. Yashtini and A. Malek, Applied Mathematics and Computation 190(1)(2007)216-230.

(B) Published in Refereed Conference Proceedings

6. Partially Parallel MR Image Reconstruction Using Sensitivity Encoding
M. Yashtini, W. W. Hager, Y. Chen and Y. Ye ,
Proceeding of 2012 IEEE International Conference on Image Processing (2012) 2077-2080.

7. A Neural Network for Nonlinear Optimization with General Linear Constraints
M. Yashtini and A. Malek ,
Procedeeing of the 5th International Conference on Electrical and Electronics Engineering (2007)359-363.

8. A Neural Network Model for Solving Nonlinear Optimization with Real-time Application
A. Malek and M. Yashtini , Proceeding of the Sixth International Symposium on Neural Networks (2009)26-29.

(C) Master Thesis

9. Numerical Solutions for Nonlinear Convex Programming Problems using Recurrent Neural Networks,
Tarbiat Modares University, Iran, 2007. Adviser. Dr. Allaeddin Malek.