Melina Bagher

Melina Bagher

M.Sc. graduate in Biomedical Engineering

Sharif University of Technology

Biography

Hi!! I’m Melina,

I graduated with a Master’s degree in Biomedical Engineering from the Department of Electrical Engineering at Sharif University of Technology, Tehran, Iran. My research interests revolve around image processing, machine learning, deep learning, and computational genomics. I previously earned my Bachelor’s degree in Biomedical Engineering from the Science and Research Branch of Islamic Azad University, Tehran. You can find more about me through the links below.

Download my Curriculum Vitae (CV).

Interests
  • Image Processing, Computer Vision
  • Machine Learning, Deep Learning
  • Computational Genomics, NGS data analysis
  • Biomedical Signal/Image Processing
Education

  • M.Sc in Biomedical Engineering, 2021

    Sharif University of Technology

  • B.Sc. Biomedical Engineering, 2019

    Science and Research Branch, Islamic Azad University

Skills

matlab
Matlab
python
Python
r
R

Experience

 
 
 
 
 
Sharif University of Technology
Teaching experiences
Sharif University of Technology
Sep 2019 – Present Tehran

Teaching Assistant:

  • System Biology (Sharif University)
  • Medical Images Analysis and Processing (Sharif University)
  • Electronics 2 (Islamic Azad University)
 
 
 
 
 
Medical Equipments unit of Parsian Hospital
Internship
Medical Equipments unit of Parsian Hospital
Jun 2018 – Oct 2018 Tehran
Becoming familiar with Repair and maintenance of health monitoring equipments

Accomplish­ments

Coursera
Advanced Learning Algorithms
Coursera Aug 2024 – Sep 2024

DeepLearning.AI, Stanford University via Coursera

  • 34 hours (approximately)
  • Grade Achieved: 100%
  • Instructor: Andrew Ng
See certificate
sharif
Trustworthiness in Deep Learning
sharif Jul 2024

Rayan.AI, Sharif University of Technology

  • Instructor: Mohammad Hossein Rohban, Rayan.AI Group
sharif
Introduction to Machine learning and Deep Learning
sharif Jun 2024

Rayan.AI, Sharif University of Technology

  • Instructor: Mohammad Hossein Rohban, Rayan.AI Group
Coursera
Supervised Machine Learning: Regression and Classification
Coursera Nov 2023 – Jan 2024

DeepLearning.AI, Stanford University via Coursera

  • 33 hours (approximately)
  • Grade Achieved: 100%
  • Instructor: Andrew Ng
See certificate

Honors and Awards

sazman sanjesh
Ph.D. NATIONAL UNIVERSITY ENTRANCE EXAM
sazman sanjesh Sep 2023

Ranked 1st in the nationwide Ph.D. entrance exam for Biomedical Engineering (Bioelectric)

  • National Organization for Educational Testing
sazman sanjesh
M.Sc. NATIONAL UNIVERSITY ENTRANCE EXAM
sazman sanjesh Sep 2019

Ranked in the top 0.1% among approximately 40,000 participants in the nationwide M.Sc. entrance exam for Electrical Engineering

  • National Organization for Educational Testing
bmn
Iran National Elites Foundation
bmn Jun 2018

Member of the National Elites Foundation due to standing among top students of university.

  • Iran National Elites Foundation

Recent Publications

Quickly discover relevant content by filtering publications.
Melina Bagher, Reza Karimzadeh, Babak Khalaj, Mehran Jahed (2023). A rapid heuristic algorithm to solve the single individual haplotype assembly problem. AUT Journal of Electrical Engineering 55 (2), 191-206, 2023.

Melina Bagher, Reza Karimzadeh, Babak Khalaj, Mehran Jahed (2022). QuickHap: a Quick heuristic algorithm for the single individual Haplotype reconstruction problem. In IEEE IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING 2022.

Reza Karimzadeh, Melina Bagher, Alireza Khodabakhsh, Hossein Arabi, Habib Zaidi (2022). Generative Adversarial-based Framework for Classification using Imbalance Data: Application to Pneumonia Detection in Chest Radiographs. In IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE 2022.

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