Asst. Prof. Dr. Dheya A. Ibrahim Dhahi

Department Head

Computer Science

Artificial Intelligence And Image Processing

Education
  • Ph.D. in AI and Medical Image Processing, University of Buckingham, United Kingdom | 2018
  • M.Sc. in Image Processing University of Anbar, Iraq | 2012
  • B.Sc. in Computer Science University of Anbar, Iraq | 2009
Experience

University of Fallujah | Iraq

  • Head of Artificial Intelligence Department | College of IT | [Start Date] – Present
    • Leading the department’s academic and administrative operations, focusing on AI curriculum development and research integration.
  • Head of Quality Assurance Unit | College of Administration & Economics | [Years] (2 Years)
    • Managed quality standards and academic accreditation processes at the college level.
  • Member of Scientific & Examination Committees
    • Actively participating in central and departmental committees to oversee academic integrity and research quality.

 

Imam Ja’afar Al-Sadiq University | Iraq

  • Director of Quality Assurance & Performance Evaluation | [Years] (3 Years)
    • Oversaw and audited quality management systems across 8 university branches, ensuring unified academic standards.
  • Member of the Central Scientific Founding Committee
    • Co-authored the university’s Scientific Research Roadmap, establishing long-term research strategies and goals.
  • Member of the New Departments Establishment Committee
    • Contributed to the feasibility studies and foundational requirements for launching new scientific departments.
  • Acting Head of Department / Department Coordinator | Communication Technical Engineering
    • Managed departmental logistics, faculty coordination, and student affairs.
  • Member of Central & Sub-Examination Committees
    • Ensured the rigorous implementation of examination regulations and academic grading standards.

University of Buckingham | United Kingdom

  • Laboratory Assistant | School of Computing | 2014 – 2018
    • Provided technical guidance and instructional support in specialized computing labs during PhD studies.
  • Staff Member | Akeley Wood School, Buckingham
    • Contributed to educational support and administrative tasks within a UK-based academic environment.

 

Dijlah University College | Iraq

  • Academic Lecturer | Oct 2012 – Jan 2014
    • Delivered specialized lectures and engaged in foundational academic activities for undergraduate students.

PROFESSIONAL DEVELOPMENT & TRAINING

  • Advanced Course in Gynaecological Ultrasound: Imaging in Oncology (Ovarian Tumours and Gestational Sac Using Medical Ultrasound Images).
  • International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, KU Leuven, Brussels (2014).
  • Advanced Course in Gynaecological Ultrasound: Imaging in Oncology (Ovarian Tumours and Gestational Sac Using Medical Ultrasound Images).
  • International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, London, UK (2015).
  • Advanced Course in Gynaecological Ultrasound: Imaging in Oncology (Ovarian Tumours and Gestational Sac Using Medical Ultrasound Images).
  • International Ovarian Tumour Analysis (IOTA) group, International Society of Ultrasound in Obstetrics and Gynaecology (ISUOG) educational course, London, UK (2016).
  • Attended a MATLAB and Simulink event at Math Works.
  • Cambridge Business Park, Cambridge, UK (2016).
  • Attended a MATLAB and Simulink event at Math Works Northampton, UK. (2017).
Publications
  • Automatic segmentation and measurements of gestational sac using static B-mode ultrasound images, Proceedings of the SPIE,2016
  • Using trainable segmentation and watershed transform for identifying unilocular and multilocular cysts from ultrasound images of ovarian tumour, SPIE,2017
  • Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images, springer, 2017
  • Effective hybrid deep learning model for COVID-19 patterns identification using CT images Publisher: Wiley | Date: 2022-05-01
  • ReID-DeepNet: A Hybrid Deep Learning System For Person Re-Identification Publisher: MDPI | Date: 2022-09-28
  • ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog Cloud Publisher: IEEE | Date: 2022-02-16
  • Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Fe Publisher: MDPI | Date: 2021-12-20
  • Adaptive intelligent learning approach-based on visual anti-spam email model for multi natural langu Publisher: DE GRUYTER | Date: 2021-06-29
  • Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images Publisher: Springer | Date: 2017-06-22
  • Using trainable segmentation and watershed transform for identifying unilocular and multilocular cys Publisher: SPIE | Date: 2017-05-10