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About me
Published:
• Total GPA: 18.48/20
• Administered under the National Organization for Development of Exceptional Talents (NODET)
Published:
• Last Two Year GPA: 19.32/20
• Total GPA(140 course units): 18.03/20
• One of the best universities in Iran
• University Rankings: THE, QS, USNWR
• University site
Published:
• GPA: 4.3/4.3
• One of the best universities in Iran
• University Rankings: THE, QS, USNWR
• University site
A power consumption prediction system based on deep learning
Anomaly detection as a Service.
Android application for parking reservation.
Android application for Mashhad citizens in order to extend recycling.
Ferdowsi University of Mashhad, 2020
I developed an AI model to predict house prices in Mashhad. This project also uses a real dataset that real states submitted to the Manishen platform. The Manishen is the website to sell your house in Iran, and I developed that model for their company under the supervision of AItrends company.
Team of 2, Ferdowsi University of Mashhad, 2021
Using Snort and Django, we built a sample honeypot to detect intrusions in the form of SQL injection and also TCP Flood, saving all attempt payloads, IP addresses, and their country. This project was for the Fundamentals of Information Security course.
Ferdowsi University of Mashhad, 2021
I developed several machine learning methods to predict Mashhad’s parking state. I used a real dataset to train and test developed methods. As I was working with a real dataset, I had to deal with missing values and anomalies.
Team of 2, Ferdowsi University of Mashhad, 2021
We had worked on interpreting IMU-based sensor data in real-time to detect falls for creating wearable devices aiming to prevent hip fracture in the elderly.
Team of 2, Ferdowsi University of Mashhad, 2021
We implemented the gray wolf algorithm based on this paper with both python and c for the Concurrent Programming course. Also, we used the OpenMP to make the C program parallel.
Ferdowsi University of Mashhad, 2021
In the Data Mining course project with python, I implemented python code to preprocess the Divar dataset. After the data cleaning phase, I have used the Apriori algorithm to extract frequent patterns. I clustered objects in the dataset and detected anomaly prices in the final step.
Team of 5, Ferdowsi University of Mashhad, 2021
We were implementing a novel detection method to detect mining and electricity theft in the smart grid. We used real user data to implement and test our model.
Ferdowsi University of Mashhad, 2022
I have implemented three recommender systems with python as the final project of the Information Retrieval course. I tested content-based, collaborative-filtering and hybrid methods on the anime dataset.
Ferdowsi University of Mashhad, 2022
For the final project of the Computer Vision course, I Implemented the Mosift algorithm with python. After the exact implementation based on the paper, I changed the method and added new features to improve the results.
Team of 3, Ferdowsi University of Mashhad, 2022
We Implemented more than 13 different imputation methods for time-series missing value handling. The Implemented methods included the most popular conventional methods and more advanced machine learning and deep learning models, such as RNNs and MLPs. We have tested techniques on a power consumption dataset to compare their results.
Ferdowsi University of Mashhad, 2022
I developed a simulator to evaluate different routing algorithms in a network with over 100000 IoT nodes and 300 routers. I used Java as my developing language to reduce the execution time, Also developed the project based on Object Oriented Programming principles. The user can define every detail of the network.
Published in Applied Soft Computing, 2021
Corona virus disease (COVID-19) diagnosis with computed tomography (CT) imaging.
Published in 2021 5th International Conference on Internet of Things and Applications (IoT), 2021
This paper is about an anomaly detection algorithm in advanced metering infrastructure.
Published in Canadian AI 2024, 2024
This paper presents an optimized Deep Neural Network based on Xception that reduces memory usage without sacrificing accuracy, enabling efficient on-device training in resource-constrained environments
Published in CASCON, 2024
We used a robotic platform to build an accurate RSSI map and trained a neural network for indoor localization.
Undergraduate student, Ferdowsi University of Mashhad, 2018
Three weeks Android crash course for undergraduate students of Ferdowsi University. I covered basic information about the Android project and necessary APIs in this course. I had designed two simple android applications and developed one of them during class time, and the second one was students’ homework.
Undergraduate course, Ferdowsi University of Mashhad, 2019
I have been a teacher assistant of advanced computer programming in four semesters. In this course, students learn Object-Oriented Programming with Java programming language. As a teacher assistant, I designed two projects for midterm and final also wrote about four series of homework for students.
Undergraduate course, Ferdowsi University of Mashhad, 2020
During the semester, I, as a teacher assistant, designed homework and solve the questions for students. Also, designed a simple project as a final project.
Undergraduate course, Ferdowsi University of Mashhad, 2020
I have been a teacher assistant of Artificial Intelligence for four semesters.
Undergraduate course, University of New Brunswick, 2023
I have been a teacher assistant of Introduction to Programming II for a fall semesters.
Graduate course, University of New Brunswick, 2024
I have been a teacher assistant of Machine Learning and Data Mining for a fall semesters.