Faculty of Mathematics
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 full-time 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 Non-nested 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 Non-nested 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 broad-based 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 full-time 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 Masjed-Jamei | 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: 19967-15433
P. O. Box: 16765-3381
Tel: +98-21-7712-5070 and +98-21-77125254
Fax: +98-21-7712-5291
Email: mathdep@kntu.ac.ir