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Personal Details
Full Name:
Hasan Ghasabi-Oskoei
Date of Birth:
23/9/1976 (Day, Month, Year)
Nationality:
Iranian
Marital Status:
Married
Contact Addresses:
E-mail:
hgoskouei@gmail.com,
hgoskoei@modares.ac.ir
Homepage:
www.hgoskoei.com, www.modares.ac.ir/sci/hgoskoei
Education and Qualifications
·
2001-2003:
MSc. in Applied Mathematics
(Optimization), Mathematics Department,
Tarbiat
Modares University, Tehran, Iran.
Grade point
average is 16.70 out of 20. Thesis title is “Numerical Solution for
Quadratic
Programming Problems Using Neural Networks and Dynamical Systems”.
This course included
following taught courses:
·
Advanced
Numerical Analysis
·
Advanced
Operation Research
·
Real
Analysis
·
Partial
Differential Equations
·
Ordinary
Differential Equations
·
Optimization
·
Artificial
Neural Networks
·
Seminar
·
Thesis
·
1995-2000:
BSc. in Applied Mathematics, Payamenoor University, Bonab, Iran.
Skills and Work Experiences
·
Member of Mathematics and Informatics research group of
Tarbiat
Modares University from February, 2003, up to now and performing research
activities along the research backgrounds.
·
Direct cooperation with Mathematics and Informatics research group of
Tarbiat
Modares University in installing "Iranian
Journal of Mathematical Sciences and Informatics (IJMSI)"
that is published in English.
·
Administration responsible of several researching projects about
"Optimization", "Neural Network" and "Robotics".
·
Research activities in designing new neural networks and handling it in
robotics and medical.
·
Dominant of softwares needed in Applied Mathematics to reach necessary results
of researching projects, e.g. Matlab, Mathcad12, Maple and etc.
·
Performing the projects of programming, website management and designing and
etc.
Teaching Experiences
·
2008-present:
Teaching Mathematics courses in Ray
Azad University. Some of the taught courses: Applied Mathematics, Mathematics
6, Mathematics 7, Pre_Mathematics.
·
2008-present:
Teaching Mathematics courses in
Islamshar
Azad University.
Some of the taught courses: Applied
Mathematics, Mathematics 7, Calculus I, Calculus II, Pre_Mathematics.
·
2008-present:
Teaching Mathematics courses in
Payamenoor University. Some of the taught courses:
Calculus I, Calculus II.
·
2004-2007:
Teaching computer engineering courses in
Tehran-West
Azad University. Some of the taught courses: Visual Basic, Software
Engineering, Systems Analysis and Designing, Practical Software, Programming
in C.
·
2003:
Teaching Applied Mathematics courses in
Payamenoor University. Some of the taught courses: Operation Research I and
II, Statistics and Probability II, Numerical Analysis I and II.
·
2003:
Teaching computer engineering courses in
Hamedan Azad University.
·
Instruction of programming and computer softwares.
Publications (International Journals and Conferences)
· Hasan
Ghasabi-Oskoei, A. Malek and A. Ahmadi,
Novel Artificial Neural Network with Simulation
Aspects for Solving Linear and Quadratic programming Problems,
Computers and Mathematics with Applications, Vol. 53, pp. 1439-1454, 2007.
· Hasan
Ghasabi-Oskoei,
Nezam Mahdavi-Amiri,
An
Efficient Simplified Neural Network for Solving Linear and Quadratic
Programming Problems,
Applied Mathematics
and Computation, Vol. 175, pp. 452-464, 2006.
· A.
Malek and Hasan Ghasabi-Oskoei,
Numerical
Solutions for Constrained Quadratic Problems Using High Performance Neural
Networks,
Applied Mathematics
and Computation, Vol. 169, pp. 451-471, 2005.
·
Hasan
Ghasabi-Oskoei,
Lagrange Neural Network for Solving Optimization Problems,
37th Annual
Iranian Mathematics Conference, Azerbaijan University, Iran, September 2006.
·
Hasan
Ghasabi-Oskoei,
Design New Neural Network and Dynamical System for Solving Optimization Problems,
7th
Conference Differential Equations and Dynamical Systems, Tabriz, Iran,
November 2005.
·
Hasan
Ghasabi-Oskoei,
Solving Linear and Quadratic Programming Problems with New Dynamical Systems,
International Conference Dynamical Systems and Applications, Antalya, Turkey,
July 2004.
·
Hasan Ghasabi-Oskoei
and A. Malek ,
Optimal Design of Wide Flange Cross Sections Based on
Newton Gradient Projection Technique,
International Conference Dynamical Systems and Applications, Antalya, Turkey,
July 2004.
·
The
book in writing:
The conclusion of performed researches in recent-four-year makes
to collect these issues with subject of "mathematical programming problems
solution using recurrent neural networks".
This book
joins three
subjects of "Optimization", "Neural Networks" and "Dynamical Systems". This
book issues, in Applied Mathematics view, are new.
Additional Information
·
Researching and scientific cooperating and consulting about optimization with
Prof. Nezam Mahdavi-Amiri from Sharif University of Technology.
·
Lesson programming and consulting of university students’ thesis about my
research backgrounds.
·
Member of Iranian Mathematical Society.
Research Activities
·
Torque Optimization
of Manipulators Using Neural Networks
This project is now
active and I am administration responsible.
·
Recognizing the Elements Grade of Ore Using an
Intelligent System
This project is now
active and I am one of the assistants.
· Achieving
a New Method in Solving Linear and Quadratic Programming Problems Using a New
Gradient-Based Neural Network
This project was
done and I was administration responsible.
· Numerical Solution for
Quadratic
Programming Problems Using Neural Networks and Dynamical Systems
This project was my
MSc. Thesis.
Technical Reports
·
New Gradient-Based Neural Network for Solving Mathematical Programming Problems
Faculty of Engineering,
Tarbiat
Modares University, March 2006.
·
Matlab Applications
Mathematics
decade, the main hall of
Tarbiat
Modares University (Motahari Hall), October 2004.
·
Linear and Quadratic Programming Neural
Network Analysis
My MSc.
seminar, Faculty of Basic Sciences,
Tarbiat Modares University, January 2003.
Research Interests
·
Design
Recurrent Neural Networks
·
Optimization
·
Neurosciences
·
Robotics
·
Dynamical
Systems
Papers in Process
·
Hasan
Ghasabi-Oskoei,
New Neural Network Based Simple Energy Function for Solving Nonlinear
Programming Problems.
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