01

Know
    About me

I'm Fatima DA, a researcher and developer in the field of Computer & Electronic Engineering at Yonsei University. I'm performing research in the field of Machine Learning and Computer Vision. I'm on track for learning more about Medical Imaging.

In my free time, I play the piano, squash, and read books.

03

Education

• March 2020 - Present

  Yonsei University, Seoul, Korea

  PhD.,Electronic & Electrical Engineering

  Fields:

  • Machine Learning
  • Computer Vision & Medical Imaging

• September 2017 - August 2019

  Hongik University, Seoul, Korea

  M.S.,Electronic & Electrical Engineering

  Thesis: LPR & MCE Systems Implementation Using Mask R-CNN
  GPA: 4.44/4.5 (99.33/100)

• September 2011 - August 2015

  Yazd University, Yazd, Iran

  B.S.,Computer Software Engineering

  Thesis: Clothing & Accessories E-Commerce Website Design
  Last 60 credits GPA: 17.25/20 (86.25/100)

02

Skill

04

Research Experience

• March 2020 - June 2021

  MAI lab, Yonsei University

  Research Assistant

  Project: Visual Speech Recognition Using Fusion of Facial Motion and Geometric Features

• September 2017 - August 2019

  AI & Robotics Lab, Hongik University

  Research Assistant

  Projects:

  • Implementing a Korean License Plate Recognition System Using Mask R-CNN
  • Developing a Household Object(s) Moving Cost Estimation System Using Deep Learning

• July 2016 - December 2016

  Control Lab, IRAN SSP

  Research Assistant

  Project: Control of Industrial Motor Temperature Using a Nonlinear Model-free Neuro-fuzzy ARX Algorithm

04

Research Projects

• Silent Communication, SAMSUNG Company (2020 - 2021)

  Implementing a visual speech recognition system using the fusion of facial motion and geometric features.

    python  

    Dlib  

    OpenCV  

    Keras  

    Tensorflow  

• License Plate Recognition, UBIwave Company (2018 - 2019)

  Developing a desktop application that can recognize Korean license plates, classify their types and read them in both images and video streams

    python  

    OpenCV  

    Keras  

    Tensorflow  

    Mask-RCNN  

• Moving Cost Estimation, Hongik University (2017 - 2018)

  Implementing an android application (client) and a desktop application (server) to estimate household objects moving cost. The Android application sends the object photo to the desktop application. In the server, the volume of the object is measured using a deep learning model and then the moving cost is measured using the object volume and some other information such as the address, moving date, etc.

    python  

    Java  

    XML  

    OpenCV  

    Keras  

    Tensorflow  

    Mask-RCNN  

• Intelligent System Identification, IRAN SSP (2016 - 2017)

  Designing a nonlinear & linear controller to control the system’s temperature and improve energy efficiency using neuro-fuzzy Auto Regressive eXternal model input (ARX) methodology.

    MATLAB  

    Simulink  

• Clothing & Accessories E-Commerce Website Design (2015 - 2016)

  Designing and implementing an online retail website for clothes and accessories.

    Joomla  

    PHP  

    HTML  

    CSS  

05

Publications

• ✻ Automatic Korean License Plate Recognition Using Deep Learning Methods (2023)

  Fatemeh Dehghan , Cho Seongwon

  Applied Intelligence Journal (APIN) (Under Submission)

  
  

• ✻ Design Nonlinear Model-free Neuro-fuzzy ARX Algorithm to Control of System’s Temperature (2017)

  Fatemeh Dehghan , Farzin Piltan , Maryam Sarostad , Nasri B.Sulaiman

  Journal of Smart Home (IJSH) indexed by SCOPUS, Volume 11, Number 1, PP 139-153

  
  

• ✻ Nonlinear model-free control and ARX modeling of industrial motor (2016)

  Maryam Sarostad , Farzin Piltan , Fatemeh Dehghan , Nasri B.Sulaiman

  Journal of Smart Home (IJSH) indexed by SCOPUS, Volume 10, Number 12, PP 63-76

  
  

07

Contact Me