• Supervisor: Dr. Mohamed Hefeeda
• Thesis: Real-time Super Resolution for VR Cloud Gaming.

• Supervisor: Dr. Mehrdad Ashtiani
• Thesis: Security and Performance-aware Virtual Machine Placement in Cloud Computing Centers.

• Designed and optimized a relational database to manage customer data and transactions.
• Developed backend services for the digital banking platform to support customer transactions and account management.
• Implemented an API gateway manager to enable REST and gRPC communication for scalable microservice integration.
• Collaborated with the DevOps team on CI/CD pipelines with Jenkins, driven by my interest in DevOps and automation.

• Contributed to ChillinWars, IUST’s annual AI programming competition.
• Developed the backend for a real-time two-player Pac-Man game using sockets.
• Implemented a framework for competitors to build and test complex AI agents against others and built-in opponents.

• Conducted a comprehensive literature review on bandwidth optimization for cloud VR streaming.
• Designed a novel deep learning pipeline by combining stereo-aware colorization and super-resolution.
• Collected and curated 4K stitched side-by-side stereo dataset from popular VR games, including Beat Saber & Pavlov VR.
• Achieved up to 95% bandwidth reduction while preserving visual quality and enabling real-time performance.

• Deployed OpenStack services like Nova, Neutron, and Keystone to deliver IaaS to research labs.
• Collaborated with students and researchers to provision virtual machines and troubleshoot infrastructure issues.
• Streamlined the lab's workflow by preparing cloud-ready OS images with configurations for both Windows and Linux.

• Data Communications & Networking
  (Instructor: Dr. Shervin Shirmohammadi)
  May 2025 – Present
• Data Communications & Networking
  (Instructor: Dr. Shervin Shirmohammadi)
  Jan 2025 – Apr 2025
• Data Communications & Networking
  (Instructor: Dr. Ouldooz Baghban Karimi)
  Sep 2024 – Dec 2024
• Data Communications & Networking
  (Instructor: Dr. Balbir gill)
  Jan 2024 – April 2024
• Data Communications & Networking
  (Instructor: Dr. Ouldooz Baghban Karimi)
  Sep 2023 – Dec 2023
• Data Communications & Networking
  (Instructor: Dr. Shervin Shirmohammadi)
  May 2023 – Aug 2023
• Discrete Math
  (Instructor: Dr. Brad Bart)
  Jan 2023 – Apr 2023
• Programming Basics
  (Instructor: Dr. Reza Entezari)
  Oct 2021 – Jan 2022
• Software Engineering
  (Instructor: Dr. Mehrdad Ashtiani)
  Feb 2021 – Jun 2021
• Data Transmission
  (Instructor: Dr. Ahmad Akbari)
  Feb 2021 – Jun 2021
• Embedded Systems
  (Instructor: Dr. AmirMahdi Hosseini)
  Feb 2021 – Jun 2021
• Software Engineering
  (Instructor: Dr. Behrooz Minaei)
  Feb 2020 – Jun 2020
• Software Engineering
  (Instructor: Dr. Mehrdad Ashtiani)
  Sep 2019 – Jan 2020
• Database
  (Instructor: Dr. Eisa Zarepour)
  Sep 2019 – Jan 2020
• Data Structure
  (Instructor: Dr. Hossein Rahmani)
  Sep 2018 – Jan 2019
• System Analysis
  (Instructor: Dr. Mehrdad Ashtiani)
  Feb 2019 – Jun 2019
• Programming Basics
  (Instructor: Dr. Zeinab Movahhedi)
  Sep 2017 – Jan 2018

Security and Performance aware virtual machine placement in Cloud Computing centers

• Provided an algorithm to choose the best host for virtual machines in a way that they become safe against attacks and also increase performance in Cloud Computing environments

Peer to Peer file transfer

• Established two channels including Signaling channel and Data channel to transfer files between two peers
• Transfered file is done by Data channel which uses WebRTC

Long Polling

• Implemented Long Polling using XHR to see posts sent from someone dynamically with no refresh needed

Socket Programming

• Implemented a HTTP Web server using sockets
• Implemented a Client-Server communication via Socket Programming in which a client sends a matrix to another one by server and after multiplying the matrix by itself, server returns the result to the first client

Stream Processing

• Exchange Information Analysis with Stream Processing using Apache Storm

Implemented MPI (Message Passing Interface)

• Multiply huge matrices using multiple nodes
• Calculate the integral by the trapezoidal approximation method using distributed systems

Heart Diseases Recognition

• Implemented Decision Tree using Python and Sickit-learn to detect if someone is suffering from heart disease or no

Fraud Detection

• Implemented a SVM classification model to detect fraud

Evar Framework

• Implemented a Framework that others can develop websites like Divar and eBay

Pop vs. Traditional lyrics recognition

• Data collection, Data Extraction, Pre Processing, and primary data analysis
• Data Splitting, Implemented Language Model’s train phase, Implemented Perplexity calculation, Implemented Text Generation using Language model
• Implemented Naive-Bayes Classifier, Implemented Maximum Entropy (MaxEnt) Classifiers using Mallet and comparing these two approaches

Different Phonetics Detection

Solved ”Inverted Pendulum” using Fuzzy Logics

Image classification using Multi-Layer Perceptron for Hoda Data Set (Like MNIST but in Persian) using Numpy, Keras

Designed a noise-robust model using Hopfield Network for image detection

Function approximation using RBF (Radial Basis Function)

Gender Recognition using signal Processing and signal-based feature

Dual-Tone Multi-Frequency (DTMF) signaling

Yes-No Detection simulation practice