- Phone: (+98) 9182265891
- Website: parsam.eu.pythonanywhere.com
- Email: [email protected]
B.S. in Electrical Engineering
GPA: 3.56 (17.42 out of 20)
Last 2 years GPA: 3.88 (18.1 out of 20)
Period: Sep 2020 – Present
Ranked within the top 1% of the Iranian University Entrance exam.
Mathematics and Physics Diploma
GPA: 18.87 out of 20.00
Period: Sep 2016 – Sep 2020
Ranked within the top 2% of the Nationwide NODET Entrance exam.
- Speech Processing
- Large Language Models
- NLP
- AI in Healthcare
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Course: “Linear Control Systems - Electrical Engineering”
Period: Feb 2023 – Jul 2023
Assisted students by solving sample questions and guiding them through lessons.
Taught MATLAB and Simulink basics to students.
Provided education material including projects and weekly homework.
Supervisor: Dr. Amir A. Suratgar -
Course: “Computer Architecture & Microprocessors”
Period: Sep 2023 – Feb 2024
Created educational materials including projects and weekly homework.
Facilitated instructional sessions focused on practical problem-solving methodologies.
Supervisor: Dr. Ahad Shabani -
Course: “Logical Circuits”
Period: Sep 2024 – Present
Taught VHDL programming with Vivado and ISE.
Assisted students by solving sample questions and providing guidance during lessons.
Supervisor: Dr. Zahra Shariatmadar
- Course: “Automatic Speech Recognition”
Period: Sep 2023 – Present (For three semesters)
Provided education material including projects and weekly homework.
Conducted weekly quizzes and workshops on using ASR tools like ESPNet.
Managed practical sessions for hands-on experience with ASR technologies.
Supervisor: Dr. Hossien Sameti
Period: Jul 2023 – Sep 2023
Trained an end-to-end Automatic Speech Recognition (ASR) model using E-Branchformer architecture on a Persian dataset.
Achieved a 15% improvement in model performance compared to previous models.
Implemented the trained model on Hugging Face Space with Gradio providing an interactive user interface.
Supervisor: Dr. Hossien Sameti
Period: Dec 2021 – Jul 2022
Utilized Random Forest, K-means algorithms, and MLP to optimize the cost of maintenance and repair of power networks.
Achieved 90% accuracy for predicting power network failures.
Developed a Decision Support web application for control centers using Django framework.
Implemented trained Machine Learning models into the web application.
Supervisor: Dr. Alireza Fereidunian
Period: Jul 2023 – Sep 2023
Performed feature reduction on a dataset of mechanical properties of facilities.
Implemented the K-means algorithm to identify anomalous data clusters.
Supervisor: Dr. Somaye Mohammadi
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Tamanaeifar, M. H., Nasiri, M. G., Mohammadi, P., Haghshenas, M., Ghadamgahi, M. M., Alimadady, M., & Fereidunian, A. (2022, September). Collaborative Design and Development of Integrated Preventive Maintenance Decision Support Software for Smart City Infrastructure based on Accumulated Data Analytics [Paper presentation]. 8th International Conference on Industrial and Systems Engineering, Mashhad, Iran. Link
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Mohammadi, P., Suratgar, A., & Menhaj, M. Eye Pupil Control Analysis. Vision Research Journal (Under Review)
- Python
- TensorFlow
- PyTorch
- NumPy
- Pandas
- Sklearn
- Gradio
- OpenCV
- Matplotlib
- Django
- PyQt
- Threading
- Async IO
- C/C++
- HTML/CSS
- JavaScript
- Matlab
- Simulink
- VHDL
- Verilog
- HSPICE
- NLP
- NER
- Sentiment analysis
- Large Language models
- Multi-modal models
- Signal/Speech processing
- RNN
- LSTM
- Transformer
- Conformer
- E-Branchformer
- ESPnet toolkit
- Image processing
- CNN
- Transfer Learning
- Object Detection
- U-Net
- Style Transfer
- Siamese Network
- Prompt engineering
- AI Classic algorithms
- Hugging Face
- Linux
- Git
- Docker
- Jupyter Notebook
- PythonAnywhere
- ISE Design Suite
- Vivado Design Suite
- IP Core
- HLS
- Vitis
- Micro Blaze
- Proteus 8
- PCB Design (Altium Designer)
- STM32 Microcontroller
- Cadence (VLSI Designer)
- Microwind
Period: Feb 2024 – Present
Tuned Mini-Gemini (Pre-trained VLLM) on a large dataset of radiology images.
Created a new dataset of paired images and reports for training.
Achieved significant performance improvements on the test set.
Supervisor: Dr. Saeed Sharifian
Period: Sep 2023 – Feb 2024
Conducted preprocessing steps on a dataset of Twitter posts (tokenization, stemming, normalization, etc.).
Performed feature extraction using TF-IDF.
Tuned a BERT-based uncased model on the data.
Achieved 95% accuracy on the test set.
Period: Jul 2023 – Sep 2023
Trained a MobileNet architecture model using Keras and TensorFlow.
Created a new dataset by merging five large image datasets with gender labels.
Achieved 92.7% accuracy on the test set.
Integrated the model with Django and deployed it on a personal website. Link to project
Period: Jul 2023 – Sep 2023
Developed a personal website using the Django framework.
Included sections for biography, contact information, and online projects. Link to website
- Artificial Intelligence [Fall 2021]
- Machine Learning [Fall 2023]
- Advanced Programming [Winter 2023]
- Multimedia Systems [Winter 2024]
- Machine Learning by Dr. Andrew Ng
- Django for Everybody by Dr. Charles Severance
- Analysis of intelligent biomedical images by Dr. Mohammad H Rohban
- Deep Learning Specialization by Dr. Andrew Ng
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models (Transformers)
- MATLAB for beginners by MathWorks
Period: Mar – Sep 2021
Invited Dr. Larry Cheng from Penn State University to participate in the summer school.
Assisted Dr. Larry Cheng during the summer school sessions.
Period: Apr 2023 - Present
Designed and implemented astronomical events engaging students and the public in astronomy-related activities.
Period: Feb 2024
Created and sold handmade goods to raise funds supporting underprivileged students.
- Won 1st place prize of IEEE Open Data Hackathon Competition. (Nov 2022)
- Ranked among top teams in Irancell Labs AI Hackathon. (Aug 2023)
- English: (IELTS will be taken by end of September)
- Persian: Native
- Kurdish: Native