Department of Operations Research and Intelligent Techniques (ORIT)


The department of Operations Research and Intelligent Techniques is established in 2010 as a department in the College of Computer Sciences and Mathematics. The actual beginning was in 2007 when the department was as a branch in the department of Statistics. The idea behind establishing this department is the importance of the new discipline, the significant research and teaching activities in a different area that had developed in several departments. Thence, the need for exploring the possibility of coordinating these activities.

 Vision, Message and Aims

 Vision: The department seeks to maintain a distinguished scientific reputation and possess graduates' knowledge, skill and ability to make optimal decisions in scientific life.

Message: The Operations Research and Intelligent Techniques department should be a pioneer center in education and scientific research and a contributor to the community with highly qualified scientific cadres.


1- Continuous aspiration towards superiority in education and scientific research.

2- Train students and develop their abilities to interact and communicate with others and prepare them for the labor market.

3- Acquire scientific and practical skills through graduation projects and field training.

4- Qualifying the undergraduate students to postgraduate in the field of operations research and Intelligent Techniques.

5- Preparation of specialized scientific staff in the graduate program and interaction with other sciences.


Academic staff:

Head of Department

1- Senior Lecturer Dr. IbtehaAbd-alhameed, [email protected]

Stochastic process

2- Assistant Professor Dr. Huda Issam Ahmed, [email protected]

Linear algebra, numerical analysis 

3- Assistant Professor Dr. Iman Tariq, [email protected]

Constrained optimization, Unconstrained optimization

4- Assistant Professor Dr. Edress M. Nori Mahmood Omer, [email protected]


5- Assistant Professor Dr. HutheyfaHazemTaha, [email protected]

Fuzzy logic

6- Senior Lecturer Dr. AsmaGhanim Mahmood, asma'[email protected]

Decision theory. Information theory

7- Senior Lecturer Dr. Saleh MuayadShakir, [email protected]

Design of experiments, Regression

8- Senior Lecturer Dr. Ghazwan Alsoufi,[email protected]

Queuing systems, Intelligent techniques

9- Senior Lecturer Dr. Manal Salem Hamde, [email protected]

Pattern recognition

10- Senior Lecturer Dr. ZahraaAbdulazeezTaha, [email protected]

Pattern recognition

11- Senior Lecturer Dr. NiamAbdulmunimAbdulmajeed, [email protected]

Networks analysis

12- Senior LecturerAsmaa Abdul-munam Abdullah, [email protected]

Modeling and simulation

13- Senior Lecturer SaifualdeenAlrefaai,[email protected]


14- Senior Lecturer LamyaaJasem Mohammed,[email protected]

Inventory models, Introduction to linear programming

15- Senior LecturerMazin Mohammed Ghanim, [email protected]

Scientific research method

16- Senior LecturerManalAbdulkareemZeidan,[email protected]

Reliability theory, sequencing problems

17- Lecturer Mohammed Ahmed Shihab,  [email protected]

Game theory

18- Lecturer Ahmed Naziyah Abdullah,  [email protected]

Statistical methods

19- Lecturer ZainabTawfeeq Hamid, [email protected]

Hypothesis test

20- Lecturer GhalyaTawfeeqBasheer, [email protected]

Linear programming models

21- Lecturer Karm Adel Abed,[email protected]

MATLAB programming

22- Lecturer NeamHazem Ahmed, [email protected]



Throughout the academic year, we run  seminars to discuss research in the department.

1-Modeling of sunspot series and controlling on it. 25/11/2019

2- On mathematical model for seaside container ports and their solution.09/12/2019

3- Differential equation of mathematical model of diabetes type one.23/12/2019

4- Using the augmented Lagrange method to find the minimization.13/01/2020

5-Solving quadratic programming problem using Van De Panne method under fuzzy environment. 09/03/2020

6-Find the best numerical solution for partial differential equations using algorithm.23/03/2020

7-Modified conjugate gradient method for unconstrained.06/04/2020

8-Comparing between using differential equations and difference equations in modeling. 20/4/2020

9- Mediation analysis of robust ridge regression of sequence two mediator variables.4/5/2020

10-The sample and population. 18/5/2020

Published and accepted researches in 2019

1- Modeling and periodicity analysis of sunspot time series 1700-2015.

2- A fuzzy stochastic model for a markov process.

2- Estimating the parameters of the truncated regression model using the two algorithms PSO and Quasi-Newton.

3- Numerical solution of Burger's-Fisher Equation in one-dimensional using finite differences methods.

4- Proposed methods in estimating the ridge regression parameter in poisson regression model.

5- A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimating in penalized support vector machine with application in chemometrics.

6- Using Polyak's Log-Sigmoid Method with Firefly Swarm.

7- Proposed methods in estimating the ridge regression parameter in Poisson regression model.

8- An evolutionary approach to a combined mixed integer-programming model of seaside operations as arise in container ports.

9- Global convergence of conjugate gradient method in unconstrained optimization problems.

10- Least absolute deviation estimator-bridge variable selection and estimation for quantitative structure-activity.

11- A robust quantitative structure activity relationship modelling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on the rank-bridge estimator.

12- A new hybrid algorithm for convex nonlinear unconstrained optimization.


1- Microsoft Word training course for the period from 6th to 10thof October, 2019.

2- Microsoft Excel training course for the period from 6th to 10thof October, 2019

3- Workshop titled "An introduction to write the reports in LaTex" will be held on 20/4/2020.

4- Workshop titled "An introduction to R programming and its applications" will be held on 19/10/2020.



Department Operations Research and Intelligent Techniques.

College of Computer Sciences and Mathematics.

University of Mosul.


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