Prof. Alireza Nazemi | Neural network | Best Researcher Award

Prof at Shahrood University of Technology, Iran

profile:

Scopus

Scholar

 

🎓 Education

B. Sc. in Applied Mathematics Sharif University of Technology, Tehran, Iran (1997-2001). M. Sc. in Applied Mathematics (Field: Control & Optimization)  Hakim Sabzevari University, Sabzevar, Iran (2001-2003). Dissertation: “To solve some nonlinear programming problems by using measure theory and neural network models” Supervisor: Prof. Sohrab Effati. Ph.D. in Applied Mathematics (Field: Control & Optimization)  Ferdowsi University of Mashhad, Mashhad, Iran (2005-2009). Dissertation: “To solve some optimal shape design problems with free boundary” Supervisor: Prof. Mohammad Hadi Farahi Advisor: Prof. Ali Vahidian Kamyad

🔍 Research Interests

• Optimal Control
• Nonlinear Optimization
• Convex Optimization
• Portfolio Optimization
• Optimization of PDE’s
• Neural Network Theory

Publication:📝

• Title: Neural network models and its application for solving linear and quadratic programming problems
  Authors: S. Effati, A.R. Nazemi
  Journal: Applied Mathematics and Computation
  Year: 2006
  Volume: 172
  Issue: 1
  Pages: 305-331
  Citations: 84

 

• Title: A dynamic system model for solving convex nonlinear optimization problems
  Author: A.R. Nazemi
  Journal: Communications in Nonlinear Science and Numerical Simulation
  Year: 2012
  Volume: 17
  Issue: 4
  Pages: 1696-1705
  Citations: 73

 

• Title: A gradient-based neural network method for solving strictly convex quadratic programming problems
  Authors: A. Nazemi, M. Nazemi
  Journal: Cognitive Computation
  Year: 2014
  Volume: 6
  Pages: 484-495
  Citations: 72

 

• Title: Analytical solution for the Fokker–Planck equation by differential transform method
  Authors: S. Hesam, A.R. Nazemi, A. Haghbin
  Journal: Scientia Iranica
  Year: 2012
  Volume: 19
  Issue: 4
  Pages: 1140-1145
  Citations: 62

 

• Title: Müntz–Legendre spectral collocation method for solving delay fractional optimal control problems
  Authors: S. Hosseinpour, A. Nazemi, E. Tohidi
  Journal: Journal of Computational and Applied Mathematics
  Year: 2019
  Volume: 351
  Pages: 344-363
  Citations: 59

 

• Title: A neural network model for solving convex quadratic programming problems with some applications
  Author: A. Nazemi
  Journal: Engineering Applications of Artificial Intelligence
  Year: 2014
  Volume: 32
  Pages: 54-62
  Citations: 59

 

• Title: An efficient dynamic model for solving the shortest path problem
  Authors: A. Nazemi, F. Omidi
  Journal: Transportation Research Part C: Emerging Technologies
  Year: 2013
  Volume: 26
  Pages: 1-19
  Citations: 59

 

• Title: Application of projection neural network in solving convex programming problems
  Authors: S. Effati, A. Ghomashi, A.R. Nazemi
  Journal: Applied Mathematics and Computation
  Year: 2007
  Volume: 188
  Issue: 2
  Pages: 1103-1114
  Citations: 52

 

• Title: A dynamical model for solving degenerate quadratic minimax problems with constraints
  Author: A.R. Nazemi
  Journal: Journal of Computational and Applied Mathematics
  Year: 2011
  Volume: 236
  Issue: 6
  Pages: 1282-1295
  Citations: 49

 

• Title: Solving general convex nonlinear optimization problems by an efficient neurodynamic model
  Author: A. Nazemi
  Journal: Engineering Applications of Artificial Intelligence
  Year: 2013
  Volume: 26
  Issue: 2
  Pages: 685-696
  Citations: 45

 

• Title: A capable neural network model for solving the maximum flow problem
  Authors: A. Nazemi, F. Omidi
  Journal: Journal of Computational and Applied Mathematics
  Year: 2012
  Volume: 236
  Issue: 14
  Pages: 3498-3513
  Citations: 44