Skip to content

Latest commit

 

History

History
200 lines (141 loc) · 7.61 KB

CV_Elec.md

File metadata and controls

200 lines (141 loc) · 7.61 KB

Parsa Mohammadi | Curriculum Vitae

Education

Amirkabir University of Technology (AUT), Tehran, Iran
B.S. in Electrical Engineering - Electronics
Sep 2020 – Present

  • GPA: 3.56 (17.42 out of 20)
  • Last 2 years: 3.88 (18.1 out of 20)
  • Ranked within the top 1% of the Iranian University Entrance exam.

Research Interests

  • Machine Learning
  • Computer Vision
  • FPGA
  • Microprocessor

Publications

  • Mohammadi, P., Malakouti, M., Suratgar, A., Menhaj, M., "Eye Pupil Control Analysis." Vision Research Journal (Under Review). DOI: 10.21203/rs.3.rs-4504934/v1

Research Experiences

Medical Images Report Generation - HPCRC Lab
Jan 2024

  • Fine-tuned COCA Vision-Language Model achieving 80% accuracy on the MIMIC-CXR dataset.
  • Applied a fine-tuned BERT model achieving an 81% accuracy rate on the MIMIC-III dataset.
  • Supervisor: Dr. Saeed Sharifian (Amirkabir University of Technology, Tehran, Iran)

Data-driven Maintenance of Urban Infrastructure in Smart City
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.
  • Supervisor: Dr. Alireza Fereidunian (K. N. Toosi University of Technology, Tehran, Iran)

Tondguyan Petrochemical Company Maintenance System
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 (Sharif University of Technology, Tehran, Iran)

Eye Pupil Control Analysis – DIOR Lab
Oct 2022 – Mar 2023

  • Linearized a complex non-linear model of human eye pupil control to facilitate further analysis.
  • Conducted linear control analysis on the linearized model.
  • Supervisor: Dr. Amir Abolfazl Suratgar (Amirkabir University of Technology, Tehran, Iran)

Work Experiences

Machine Learning Intern - Asr Gooyesh Pardaz · Full-time, Tehran, Iran
Jul 2023 – Sep 2023

  • Trained an end-to-end Automatic Speech Recognition (ASR) model using E-Branchformer architecture and ESPNet framework on a Persian dataset.
  • Achieved 2.0 WER on Mozilla’s Common Voice dataset (Persian).
  • Implemented the trained model on Hugging Face Space with Gradio, providing an interactive user interface. Link to online demo.
  • Supervisor: Dr. Hossien Sameti (Sharif University of Technology, Tehran, Iran)

Teaching Experiences

Amirkabir University of Technology (AUT), Tehran, Iran

  • Microprocessor Systems & Interfaces
    Sep 2024 – Present

    • Taught embedded C, assembly, and microprocessor basics.
    • Supervisor: Dr. Amir A. Suratgar

  • Logical Circuits
    Sep 2024 – Present

    • Taught MATLAB and Simulink basics to students.
    • Supervisor: Dr. Zahra Shariatmadar

  • Computer Architecture & Microprocessors
    Sep 2023 – Feb 2024

    • Created educational materials, including projects and weekly homework.
    • Supervisor: Dr. Ahad Shabani

  • Linear Control Systems - Electrical Engineering
    Feb 2023 – Jul 2023

    • Taught VHDL programming with Vivado and ISE.
    • Supervisor: Dr. Amir A. Suratgar

Sharif University of Technology (SUT), Tehran, Iran

  • Automatic Speech Recognition
    Sep 2023 – Present
    • Conducted weekly quizzes and workshops on ESPNet framework.
    • Supervisor: Dr. Hossien Sameti

Skills

  • Programming:
    VHDL, Verilog, HSPICE, Python, C/C++, HTML/CSS, JavaScript, Matlab, Simulink, Assembly

  • Machine Learning:
    NLP, NER, Semantic Analysis, Vision-Language, LLM, NLTK, Speech Processing, ASR, ESPNet, Computer Vision, Segmentation, Object detection, Classical AI Algorithms

  • Tools:
    ISE Design Suite, Vivado Design Suite, IP Core, HLS, Vitis, Micro Blaze, Proteus 8, PCB Design (Altium Designer), STM32 Microcontroller, Cadence (VLSI Designer), Microwind, Arduino, Linux, Git, Docker, Jupyter Notebook, LaTeX

Selected Projects

  • Multi-Layer Perceptron (MLP) Implementation on FPGA:
    Developed and trained an MLP for speech recognition implemented on a Virtex-E 2000 FPGA. Quantized the model for 8-bit calculations achieving 83.4% accuracy on the test set.

  • Heart Rate Calculation Using FPGA:
    Implemented a MicroBlaze microprocessor on an FPGA with 8 GPIO ports using Vivado and Vitis. Programmed MicroBlaze using Vivado HLS for efficient heart rate calculations.

  • Trigonometric Functions Implementation on FPGA:
    Implemented arctan and exponential functions using the CORDIC IP core in Xilinx ISE 14.6. Link.

  • General-Purpose Board Design with FPGA and Microcontroller:
    Designed and developed a buffer board with complete schematic and PCB layout using Altium Designer.

  • Binary multiplication in FPGA:
    Developed and simulated three binary multiplier designs (Array, Carry-Save, and Standard) using Vivado. Link.

  • CPU simulation on FPGA:
    Designed and simulated a CPU with MIPS architecture in a 4-stage pipeline. Implemented RAM, ROM, ALU, and I/O interfaces.

  • Bachelor thesis: Chest X-ray Images Diagnosis and Report Generation:
    Fine-tuned Mini-Gemini (a pre-trained VLM) on a large dataset of radiology images for a Visual Question Answering (VQA) task. Created a new dataset of paired images and reports achieving significant performance improvements on the test set.
    Supervisor: Dr. Saeed Sharifian

  • Gender Classifier Model Development:
    Trained a MobileNet architecture model using Keras and TensorFlow on a merged dataset from five large image datasets with gender labels. Achieved 92.7% accuracy on the test set and deployed the model on a personal website using Django. Link to project.

Courses

  • Artificial Intelligence [Fall 2021]
  • Machine Learning [Fall 2023]
  • Advanced Programming [Winter 2023]
  • Computer Vision [Winter 2024]

Online Certificated Courses:

  • Machine Learning - Dr. Andrew Ng
  • Django for Everybody - Dr. Charles Severance
  • Analysis of Intelligent Biomedical Images - Dr. Mohammad H Rohban
  • Deep Learning Specialization:
    • Convolutional Neural Networks
    • Sequence Models (Transformers) - Dr. Andrew Ng
  • Finetuning Large Language Models - Deeplearning.ai
  • Prompt Engineering with Llama 2 & 3 - Deeplearning.ai

Volunteering Experiences

  • Member of "Amirkabir 2021 International Summer School" Executive Team
    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.

  • Member of Amirkabir Astronomy Club
    Apr 2023

    • Designed and implemented astronomical events engaging students and the public in astronomy-related activities.

  • Participated in a charity market
    Feb 2024

    • Created and sold handmade goods to raise funds supporting underprivileged students.

Honors

  • Won 1st place prize in the IEEE Open Data Hackathon Competition. Certificate Nov 2022
  • Ranked among top teams in Irancell Labs AI Hackathon. Certificate Aug 2023

Language Proficiency

  • English: (Exam date: 10/31/2024)
  • Persian: Native
  • Kurdish: Native