Dr. Shahad Alyousif

Introduction

Current Position: Faculty member
Email Address: dr.shahad.alyousif@gulfuniversity.edu.bh
Title: Associate Professor
College: College of Engineering
Department: Electrical & Electronic Engineering
Specialization (General): Electrical & Electronics Engineering
Specialization (Specific): Biomedical Engineering

Qualification

  • PhD in cardiotocograph trace pattern features extraction and classification in (Biomedical laboratory), The National University of Malaysia, Selangor, Malaysia, 2013.
  • Bachelor degree in Electrical & Electronics Engineering, University of Technology, Baghdad, Iraq, 1997.

Professional Membership

  • Biomedical research group member, Post doctorate fellow in biomedical engineering research.

Experience

I have more than 20 years of professional and academic experience. In 2000, I joined the engineering consulting office at the University of Technology as a field engineer at Nissan Heavy Industries, west of Baghdad. In 2014, I joined the University of Management and Sciences as a Senior Lecturer in the College of Information Sciences and Engineering where I was the leader of the university group for sustainable research in the college as well as the leader of the sustainable and sustainable medical research group. In 2018 I joined Dijla University in Iraq as a member of the Medical Devices Engineering Department. Currently, I am an Associate Professor in the Department of Electrical and Electronic Engineering, College of Engineering, University of Cambridge and Gulf University, Kingdom of Bahrain.
 

Selected Publication

  • Shahad Al-yousif, Ihab A. Najm, Hossam Subhi Talab, Nourah Hasan Al Qahtani, M Alfiras, Osama Y. M. Al-Rawi, Wisam Subhi Al-Dayyeni, Ali Amer Ahmed Alrawi, Mohannad Jabbar Mnati, Mu’taman Jarrar, Fahad Ghabban, Nael A. Al-Shareefi, Mustafa Musa Jaber, Abbadullah H. Saleh, Nooritawati Md Tahir, Huda. T. najim, Mayada Taher, “Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline”, PeerJ computer science journal, 8 (2022): e1050
     
en_USEN
arAR en_USEN