Welcome to the Faculty of Mathematics at K. N. Toosi University of Technology. It has an excellent reputation, a strong demanding program of graduate study in mathematics, statistics and computer science, and a full range of undergraduate course offerings in mathematical and computer sciences.
The faculty has three departments with 25 fulltime faculty members with research interests in several areas of pure and applied mathematics, statistics, and computer sciences. It has over 500 students in its graduate program in mathematics and statistics, and in its undergraduate majors. The faculty is also responsible for teaching all mathematics service courses offered to other majors. It is committed to quality teaching, research and community service. Researchers in the department have extensive collaboration with worldwide researchers.
We hope you find the information in this website useful. If there is something about the departments that you would like to know, please feel free to contact us at: mathdep@kntu.ac.ir
About the Faculty
The faculty of mathematics originated as a faculty of science in 1981. In 2012, the university ratified plans to improve the educational and its administrative structures by splitting the faculty of science into three faculties. The newly constituted faculty of mathematics has three departments: Pure Mathematics, Applied Mathematics and Computer Science & Statistics.
The faculty is now provides teaching for 90 different courses every semester distributed over 150 sections. These sections not only serve the departments, but also serve other faculties.
 To enrich graduates with a high level of knowledge and skills
 To emphasize the role of mathematical sciences in Engineering and developing critical thinking
 To retain high quality faculty members
 Establish new academic programs to meet the growing market demands in the region
 Enhance research quality and productivity
 Develop and support strategic research partnership with the other University
 Strengthen departmental programs in order to enhance research productivity
 Increase and enhance the role of the academic programs of the MSP Department within the internal and external community
 Foster and keep up relations with the Department Alumni
Research Areas
 Analysis
 Functional Analysis
 Harmonic Analysis
 Algebra
 Ring and square theory
 Group theory
 Geometry
 Algebraic Geometry
 Differential Geometry
 Topology
 Combinatories
 Cryptography
 Coding theory
 Graph theory
 Numerical Analysis
 Numerical methods in ODEs, PDEs and integral equations
 Numerical methods in mathematical physics and finance
 Numerical solution of Fractional calculus
 Stochastic differential equations
 Inverse Problems
 Operational Research
 Numerical solution of linear and nonlinear programming
 Optimization theory
 Calculus of variations
 Perturbation techniques
 Operational Research
 Numerical solution of linear and nonlinear programming
 Optimization theory
 Calculus of variations
 Perturbation techniques
 Elicitation
 Probabilities
 Optimization for computational statistics
 Censored data analysis
 MCMC algorithm
 Big data analysis
 Nested and Nonnested model selection
 Data science
 Efficient Algorithms for Big Data Problems
 Randomized Algorithms
 Data Mining, Big Data Analytics
 Computational Complexity and Approximation Algorithms
 Lattices and their application in communications
 Coding theory
 Wireless communication
 Information theory
 Cryptography
 Graphical and probabilistic algorithms
 Combinatorial Optimization
 Machine Learning
 Clustering Problems
 Network Design and Routing Problems
 Facility Location Problems
 Pure Mathematics

 Analysis
 Functional Analysis
 Harmonic Analysis
 Algebra
 Ring and square theory
 Group theory
 Geometry
 Algebraic Geometry
 Differential Geometry
 Topology
 Combinatories
 Cryptography
 Coding theory
 Graph theory
 Applied Mathematics

 Numerical Analysis
 Numerical methods in ODEs, PDEs and integral equations
 Numerical methods in mathematical physics and finance
 Numerical solution of Fractional calculus
 Stochastic differential equations
 Inverse Problems
 Operational Research
 Numerical solution of linear and nonlinear programming
 Optimization theory
 Calculus of variations
 Perturbation techniques
 Operational Research
 Numerical solution of linear and nonlinear programming
 Optimization theory
 Calculus of variations
 Perturbation techniques
 Statistics

 Elicitation
 Probabilities
 Optimization for computational statistics
 Censored data analysis
 MCMC algorithm
 Big data analysis
 Nested and Nonnested model selection
 Computer Sciences

 Data science
 Efficient Algorithms for Big Data Problems
 Randomized Algorithms
 Data Mining, Big Data Analytics
 Computational Complexity and Approximation Algorithms
 Lattices and their application in communications
 Coding theory
 Wireless communication
 Information theory
 Cryptography
 Graphical and probabilistic algorithms
 Combinatorial Optimization
 Machine Learning
 Clustering Problems
 Network Design and Routing Problems
 Facility Location Problems
Educational Programs
The faculty of mathematics offers undergraduate program for bachelor’s degrees in mathematics & its applications and computer science and graduate programs for Master’s degrees in Pure Mathematics, Applied Mathematics, Statistics and Data Science as well as Ph.D. programs in Pure and Applied Mathematics. The educational programs at the faculty aims to present the endless possibilities that a student can achieve to boost his/her career.
Programs and Degrees:
B.Sc.  M.Sc.  Ph.D. 




B.Sc. in Mathematics and Computer Science
The objective of the B.Sc. programs in mathematics and computer science is to prepare the students for career opportunities in educational institutions, industry, government organizations and other areas involving applications of mathematical sciences.
The program also prepares students for graduate studies in mathematical sciences and other related fields. It is broadbased and cover main streams of mathematics; namely, pure mathematics, applied mathematics, statistics and computer science. The curricula are designed to strengthen both conceptual and computational talent of the students and as such the graduates will have a solid background to pursue higher educational programs as well as take up assignments in industry and other related practical fields.
The B.Sc. program consists of 134 credits including 45 courses in different general and main courses.
M.Sc. Programs
The faculty offers graduate programs leading to the degrees of Master of Science. The diversity of graduate courses offered in departments gives the students an opportunity to specialize in one of the several fields of Pure mathematics ( Algebra, Analysis, Geometry and Topology), Applied mathematics (Numerical Analysis, Optimization and Data Science) and statistics.
The B.Sc. program consists of 134 credits including 45 courses in different general and main courses.
Ph.D. Programs
The Ph.D. program is intended for students with superior mathematical ability and emphasizes the development of creative scholarship and breadth and depth in background knowledge. A doctoral student must take certain advanced courses, pass a qualifying examination, complete a “Major Topic” and write a dissertation that constitutes an original and significant contribution to the discipline. The dissertation is subject to external refereeing and must be defended publicly.
To be admitted to the Ph.D. program, a student must normally have successfully completed a Master’s degree program in Mathematics. Only fulltime students are admitted to the program.
Once admitted into the Ph.D. program, the Ph.D. student should select a supervisor to direct the graduate work. The choice of the supervisor and the research area is very important and critical to the Ph.D. student and care must be exercised in the selection.
Faculty Members
Faculty Member  Faculty  Department 

Kamal Aghigh  Mathematics  Pure Mathematics 
Shaban Ghalandarzadeh  Mathematics  Pure Mathematics 
Ebrahim Ghorbani  Mathematics  Pure Mathematics 
Hassan Haghighi  Mathematics  Pure Mathematics 
Maliheh Hosseini  Mathematics  Pure Mathematics 
Fereshteh Malek  Mathematics  Pure Mathematics 
Alireza Moghaddamfar  Mathematics  Pure Mathematics 
Mohammad Javad Nikmehr  Mathematics  Pure Mathematics 
Kourosh Nourouzi  Mathematics  Pure Mathematics 
Hashem Parvaneh Masiha  Mathematics  Pure Mathematics 
Farzaneh Ramezani Bonab  Mathematics  Pure Mathematics 
Hossein Jowhari  Mathematics  Computer Science & Statistics 
Hassan Khodaiemehr  Mathematics  Computer Science & Statistics 
Ahad Malekzadeh  Mathematics  Computer Science & Statistics 
Mohsen Rezapour  Mathematics  Computer Science & Statistics 
Abdoreza Sayyareh  Mathematics  Computer Science & Statistics 
Azim Aminataei  Mathematics  Applied Mathematics 
Seyed Masoud Fatemi  Mathematics  Applied Mathematics 
Farideh Ghoreishi  Mathematics  Applied Mathematics 
Mahmood Hadizadeh Yazdi  Mathematics  Applied Mathematics 
Mohammad MasjedJamei  Mathematics  Applied Mathematics 
Mohammad Reza Peyghami  Mathematics  Applied Mathematics 
Ali Zakeri  Mathematics  Applied Mathematics 
Contact Us
Address: Faculty of Mathematics, K. N. Toosi University of Technology,
Daneshgah Blvd., Ehsan Street Exit, East Zeynoddin Highway, Tehran, Iran.
Postal Code: 1996715433
P. O. Box: 167653381
Tel: +982177125070 and +982177125254
Fax: +982177125291
Email: mathdep@kntu.ac.ir