Alireza Nazemi | Neural network | Best Researcher Award

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Prof. Alireza Nazemi | Neural network | Best Researcher Award

Prof at Shahrood University of Technology, Iran

Dr. Alireza Nazemi is a Professor of Applied Mathematics at Shahrood University of Technology, specializing in control and optimization. He holds a Ph.D. in Applied Mathematics from Ferdowsi University of Mashhad. His research interests include optimal control, nonlinear and convex optimization, portfolio optimization, and neural network theory. Dr. Nazemi has published extensively, with recent works addressing neural network applications in optimization and control. He teaches courses such as Optimal Control, Nonlinear Optimization, and Neural Networks & Optimization. Dr. Nazemi is dedicated to advancing mathematical methods to solve complex engineering and financial problems.

profile:

Scopus

Scholar

 

šŸŽ“ Education

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

šŸ” Research Interests

  • Optimal Control
  • Nonlinear Optimization
  • Convex Optimization
  • Portfolio Optimization
  • Optimization of PDEā€™s
  • Neural Network Theory

Publication:šŸ“

  • 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 Fokkerā€“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: MĆ¼ntzā€“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