Dr. Amani Al-ghraibah

Associate Professor

Major: Signal & Image Processing and Pattern Recognition

Department: Medical Engineering Department

Faculty: Faculty of Engineering


Email:

a.ghraibah@ammanu.edu.jo

Extention: 4028

Profiles:



COURSES TAUGHT

  • Biomaterial
  • Digital Image Processing
  • Engineering Mathematics 2
  • Computer Application for Medical Engineering
  • Electrical Circuit 1
  • Technical Writing
  • Engineering Ethics
  • Data Mining and Pattern Recognition
  • Advanced digital signal and image processing
  • Advanced computer applications for medical enggineering

ACADEMIC RANKS

Rank University Country Date
Associate Professor Al-Ahliyya Amman University Jordan 2021
Assistant Professor Al-Ahliyya Amman University Jordan 2015

QUALIFICATION

Degree Institute Specialization Country Date
Phd New Mexico State University / USA Electrical and Computer Engineering July / 2015
Masters Degree New Mexico State University / USA Electrical and Computer Engineering December / 2012
Bachelors Degree Jordan University of Science and Technology Biomedical Engineering June / 2008

WORK EXPERIENCE

Job Title Institute Time Period
Research assisstant New Mexico State University/USA October / 2010 - July / 2015
Lab Engineer / Biomedical Engineering Department Jordan University for Science and Technology January / 2009 - May / 2009

RESEARCH INTERESTS

  • Medical Image Processing
  • Digital Signal Processing and Pattern Recognition
  • Application of Artificial Intelligence in medical engineering

RESEARCHES AND PUBLICATIONS

  • Amani Al-Ghraibah, Muhammad Al-Ayyad (2024) Automated detection of leukemia in blood microscopic images using image processing techniques and unique features: Cell count and area ratio Cogent Engineering, Volume 11 Issue 1 Pages 2304484
  • 0 Altmetric Listen Biomedical Engineering Noor Tashtoush,Amani Al-Ghraibah,Syed Azhar Syed Sulaiman,Fitreena Anis Amran,Siti Khairizan Rahim &Sabariah Noor Harun (2024) Cancer pain detection based on physiological parameters and machine learning Cogent Engineering, Vol. 11, No. 1
  • Amani Al-Ghraibah, Muneera Altayeb, Feras A Alnaimat (2024) An automated system to distinguish between corona and viral pneumonia chest diseases based on image processing techniques Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Volume 11 Issue 7 Pages 2261575
  • Muneera Altayeb, Amani Al-Ghraibah (2023) Arduino Based Real-Time Face Recognition And Tracking System Arduino Based Real-Time Face Recognition And Tracking System, Volume 12 Issue 4
  • FA Alnaimat, HA Owida, Jamal I Al-Nabulsi, B Al-Naami, A Al-Ghraibah, M Al-Ayyad, Muneera Altayeb, Ashraf Al Sharah (2023) Design modifications and evaluation of the silicone artificial finger joints Bio-Medical Materials and Engineering, Issue Preprint Pages 1-10
  • Sandra Matarneh, Faris Elghaish, Amani Al-Ghraibah, Essam Abdellatef, David John Edwards (2023) An automatic image processing based on Hough transform algorithm for pavement crack detection and classification Smart and Sustainable Built Environment, DOI 10.1108/SASBE-01-2023-0004
  • Muneera Altayeb, Amani Al-Ghraibah (2022) Voice controlled Camera Assisted Pick and Place Robot Using Raspberry Pi Indonesian Journal of Electrical Engineering and Informatics (IJEEI), Volume 10, Issue 1, 2022, Pages 51-59
  • M. Altayeb, A. Al-Ghraibah (2022) Classification of Three Pathological Voices based on Specific Features Groups using Support Vector Machine International Journal of Electrical and Computer Engineering (IJECE), Vol. 12, No. 1, pp. 946~956
  • S. El-Sharo, A. Al-Ghraibah, J. Al-Nabulsi, M. Matalgah. (2022) Evaluation of the Carotid Artery Using Wavelet-Based Analysis of the Pulse Wave Signal International Journal of Electrical and Computer Engineering (IJECE), Vol. 12, No. 2, pp. 1456~1467
  • H. Abu Owida, A. Al-Ghraibah, M. Altayeb (2021) Classification of chest X-ray Images using wavelet and MFCC features and Support Vector Machine Classifier Engineering, Technology & Applied Science Research, Vol. 11, No. 4, pp. 7296~7301
  • A. Al-Ghraibah, M. Algharibeh, W. AlMohtasib, M. Altayeb. (2021) Classification of Long Bone X-ray Images using New features and Support Vector Machine International Journal of Advanced Trends in Computer Science and Engineering, Vol. 10, No.3
  • (2020) Investigating the Significance of New Features Extracted from Long Bones X-ray Images 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME),
  • A. Al-Ghraibah, M. Al-Ayyad and H. Alkhateeb (2020) Tibia Bone Fracture Detection using a Modified Edge Detection Method Based on Bone Length Journal of Engineering Science and Technology., Issue 15, Vol. 1, pp. 249-260
  • M. Al-Ayyad, A. Al-Ghraibah, and H. Alkhatib (2019) Transportation of Donated Hearts by Drone in Comparison to Road-Bound Vehicles in Mexico City The open biomedical engineering journal, Vol. 13, pp. 142-150
  • A. Al-Ghraibah, L. E. Boucheron, and R. J. McAteer. (2015) An Automated Classification Approach to Ranking Photospheric Proxies of MagneticEnergy Build-up. Astronomyand Astrophysics (A&A) Journal, vol. 579
  • L. E. Boucheron, A. Al-Ghraibah, and R. J. McAteer. (2015) Prediction of Solar Flare Size and Time-to-Flare Using Support Vector Machine Regression. Astrophysical Journal, vol. 812
  • (2012) Automated Classification of Flaring Behavior in Solar Active Regions:Preliminary Results”. American Astronomical Society (AAS) 219th Meeting.,
  • (2012) Classification of Flaring Behavior in Solar Active Regions. IEEE ICON conference,
  • (2012) Automated Prediction of Flaring Behavior Based on ComplexityMeasures from Solar Magnetograms Solar Information Processing (SIP)Workshop. A. Al-Ghraibah, L. E. Boucheron and R. T. J. McAteer. . .,

Published Books:

  • Medical implementations of biopolymers (2020) Advanced processing, properties, and applications of starch and other bio-based polymers ELSEVIER
  • (2018) Biopolymers for medical application ELSEVIER
  • Predicting the potential of biomass-based composites for sustainable automotive industry using a decision-making model (2017) Lignocellulosic Fibre and Biomass-Based Composite Materials ELSEVIER
  • (2017) Predicting the potential of biomass-based composites for sustainable automotive industry using a decision-making model ELSEVIER

CONFERENCES AND WORKSHOPS

Conference Title Type of Participation Location Date
2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME) Paper/Poster AND Participate in the organization of Conference Amman/ Jordan March / 2020
IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Participate in the organization of Conference Amman, Jordan April / 2019
The 10th Jordan International Electrical & Electronics Engineering Conference JIEEEC Attendance Amman, Jordan April / 2017
International Telemetering Conference (ITC)/ International Foundation forTelemetring (IFT). Attendance Las Vegas, NV, USA. October / 2013
Solar Information Processing (SIP)Workshop. A. Al-Ghraibah, L. E. Boucheron and R. T. J. McAteer. . . Paper/Poster Bozeman, MT,USA August / 2012
American Astronomical Society (AAS) 219th Meeting. Paper/Poster Austin, TX, USA July / 2012
IEEE ICON conference Paper/Poster las cruces, NM, USA October / 2012

THESIS SUPERVISION

Title Location Date
Impact of Clinical Pharmacy Services on Health Care Professionals: Knowledge, Attitude, and Pain Management Practice in Cancer Pain Patients, Using a Novel Pain Taxonom Universiti Sains Malaysia 2024
Predictive Model of Diabetic Retinopathy Incorporating Machine Learning and Pharmacometric Approaches Universiti Sains Malaysia 2024
Performance Evaluation of Congestion Control Mechanisms in IoT Networks within Fog/Edge Computing Al-Ahliyya Amman University 2023

AWARDS AND SCHOLARSHIP

Title Location Date
L'Oreal - Unesco for woman in science followship Lebanon 2016
P.E.O International Peace Scholarship (IPS) USA 2014
International Foundation for Telemetring (IFT) award USA 2013
Research assistant scholarship New Mexico State University / USA 2010

Al-Ahliyya Amman University

Email: Public@ammanu.edu.jo

 

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