Data Science

Master of data science

The data science program is a newly established program in our faculty, and the students of the MSc of data science have not graduated yet. However, the faculty members have many years of experience in advising graduate students in computer science, mathematics and related domains, in Ferdowsi University or other universities. In the following table, some of the thesis advised by the faculty members are listed (Thesis are in Persian language):

Thesis title Related subject in mathematics/computer science/statistics
Image resolution enhancement by convolutional neural network  
Urban traffic prediction using deep learning Graph convolutional neural networks
Wasserstein Generative Adversarial Networks Generative Adversarial Networks - Distance between two probability distributions
Parallel version of dual gradient method in distributed and shared environments Parallelization - Multi-core - C++
Subspace search method in sparse optimization Sparse optimization
A genetic algorithm for theuncapacitated single allocationplanar hub location problem Location - Optimization
Modeling multi-stage cutting problems Optimization
A multi-objective optimization approach for university course scheduling problem Combinatorial optimization
Generative adversarial network and Wasserstein Generative adversarial networks - Distance function of statistical distribution
Non-negative matrix factorization in data clustering Linear algebra
Image segmentation using image matting method Logistic regression - Trees
Parallel computing in sparse optimization Parallelization - Sparse optimization
Master production scheduling considering skill levels and personality of workers Scheduling - Optimization
Solving the uncapacitated facility location problem with bat algorithm Location - Combinatorial optimization - Metaheuristic algorithms
Initial value assignment of dual gradient in spectral clustering with genetic algorithm Linear algebra - Optimization - Machine learning
Solving the traveling salesman problem with hotel selection using metaheuristic methods Optimization
Designing Effective Inter-Pixel Information Flow for Natural Image Matting Machine learning
Super-resolution with sparse representation Image processing - Sparse optimization
Solving the problem of locating facilities with unlimited capacity with cuckoo optimization algorithm Location - Metaheuristic algorithms
Solving the single allocation hub location problem without capacity with memetic algorithm Location - Metaheuristic algorithms
Reducing one-dimensional cutting waste by observing the cumminess of patterns Optimization - Genetic algorithm
Qualitative prediction of air quality using stability and instability indices of the atmosphere and artificial neural network, case study: Tehran Environment - Neural networks
Extreme learning machines Neural networks - Real analysis - Linear algebra
Investigating different norms in sparse representation Image processing - Sparse optimization
Image Matting Image processing - Optimization
Identifying video background frames using QR decomposition Linear algebra
Information retrieval from lost and image reconstruction using wavelet frames Functional analysis - Fourier series - Wavelet and frame
Solving location problems with metaheuristic methods  
Finding optimal paths on a tree network Optimization
Minimum cut in graph Optimization - Algorithm
Spectral clustering for image segmentation Image processing - Linear algebra