Education
M.Sc. in Computer Science - Artificial Intelligence at the University of Tehran (2021 - Present)
GPA: 18.53 out of 20.00 (3.82 out of 4.00)
Some Selected Courses:
| Course Name | Teacher | Grade (out of 20.00) |
|---|---|---|
| Machine Learning | Dr. Hedieh Sajedi / Dr. Bagher Baba Ali | 19.90 |
| Natural Language Processing | Dr. Bagher Baba Ali | 19.50 |
| Digital Image Processing and Computer Vision | Dr. Hedieh Sajedi | 20.00 |
Thesis: Brain Age Estimation Using deep neural networks and MR images
Research in brain age estimation is crucial for a multitude of reasons, encompassing early detection of neurological disorders like Alzheimer's and Parkinson's, the advancement of aging-related research, and personalized healthcare. In this thesis some advanced approaches such as relational learning are taken and the results have been reported. However, working on models for the prediction of ages is not finished. I will continue to achieve better results in the following months.
B.Sc. in Computer Science at the University of Guilan (2017 - 2021)
Major GPA: 19.18 out of 20.00 (3.97 out of 4.00)
Overall GPA: 18.64 out of 20.00 (3.84 out of 4.00)
Some Selected Courses:
| Course Name | Teacher | Grade (out of 20.00) |
|---|---|---|
| Computer Principles and Programming | Dr. Maryam Seifaddini | 19.75 |
| Advanced Programming | Dr. Sadegh Eskandari | 20.00 |
| Fundamentals of Mathematical Sciences | Dr. Mansour Hashemi | 17.75 |
| Fundamentals of Probability | Dr. Mahnaz Nabil | 20.00 |
| Data Structures and Algorithms | Dr. Maryam Seifaddini | 20.00 |
| Fundamentals of Matrices and Linear Algebra | Prof. Mohammad Kiyanpour | 17.00 |
| Basics of Computation Theory (Automata Theory) | Dr. Hashem Saberi | 17.00 |
| Fundamentals of Logic and Set Theory | Dr. Maryam Seifaddini | 20.00 |
| Data Mining | Prof. Farshid Mehrdoust | 20.00 |
| Principles of Database Design | Dr. Sadegh Eskandari | 20.00 |
| Fundamentals of Combinatorics | Dr. Maryam Seifaddini | 18.50 |
| Principles of Computational Intelligence | Dr. Ali Jamalian | 20.00 |
| Design and Analysis of Algorithms | Dr. Maryam Seifaddini | 19.25 |
| B. S. Computer Sciences Project | Dr. Sadegh Eskandari | 20.00 |
| Fundamentals of Algebra | Dr. Payam Bahiraei | 18.00 |
| Numerical Linear Algebra | Prof. Davod khojasteh | 19.25 |
| Artificial Intelligence | Dr. Sadegh Eskandari | 20.00 |
| Computer Simulation | Dr. Amirhossein Tabatabai | 19.04 |
| Computation Theory | Dr. Hashem Saberi | 20.00 |
Thesis: Face Detection and Recognition in real-time videos and cameras
Face recognition is a critical task in computer vision and artificial intelligence. It involves the identification and verification of individuals based on their facial features. The importance of this technology cannot be overstated, as it has a wide range of applications, from enhancing security systems and enabling secure access control to improving user experiences in various domains. With the advent of deep learning techniques, face recognition has become more accessible and accurate than ever before. Convolutional Neural Networks (CNNs) and deep learning models have revolutionized the field, allowing for robust and efficient face detection and identification. These advancements have paved the way for innovative biometrics, surveillance, and personalization applications, making face recognition an essential component of modern AI systems. In my bachelor's thesis, I proposed an application for attendance of employees and students. I used state-of-the-art methods like FaceNet, MTCNN, RetinaFace, Yolo, and some tracking algorithms to achieve this purpose. I finally succeeded in submitting my proposal as an innovation at the University of Guilan and it was accepted.