Zahraa Saleh

Passionate and dedicated engineer and researcher with strong expertise in artificial intelligence, machine learning, network engineering, and cloud computing. Skilled in C++, Python, Java, MATLAB, and experienced in applying AI to optimize network slicing and performance. With hands-on experience in SDN, embedded systems, and data science, I enjoy solving complex problems and creating innovative solutions. I have a solid background in university teaching, scientific research, and technical writing, and I value teamwork, collaboration, and sharing knowledge with others. Known for being adaptable, motivated, and supportive, I am committed to continuous learning and contributing positively to both academic and professional environments.

• Brunel University of London, Higher Education Teaching and Learning Programme, 01/01/25
• Brunel University of London, Certificate of Excellence in Leadership and Employability Skills, 10/01/24 - 12/01/24
• STEM Learning, Research & Experience Placement Provider 2023/2024, 12/01/24
• Brunel University of London, iNSPIRE - Developing Your Mentoring Skills, 04/01/24
• Brunel University of London, Organising committee membership, 03/01/24
• Brunel University of London, Introduction to learning and teaching: initial training for demonstrators and GTAs, 03/01/24
• University of Illinois at Urbana-Champaign, Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud, 06/01/20
• Coursera Project Network, Build Your Portfolio Website with HTML and CSS, 06/10/20
• University of Michigan, Python Data Structures, 07/01/20
• DataCamp, Introduction to R, 02/15/20
• DataCamp, Introduction to SQL, 02/15/20

• Fully Funded Participant—Cumberland Lodge Christmas Conference Issued by Brunel University London, Dec 2024. In recognition of my first-year research achievements, I was offered a fully funded place to attend this prestigious interdisciplinary conference.
• Outstanding score in the Pre-sessional English Course at Brunel University, 2023
• AWS AI & ML Scholarship Program – Udacity, 2023
• O'Reilly DEIJ Scholarship, 2023
• Women Who Code Scholarship, 2022
• Recognition for Peer Review Excellence, 2022
• Best Presentation at a workshop at Lebanese French University, 2021
• Academic title of Assistant Lecturer by the Ministry of Higher Education and Scientific Research, Kurdistan Regional Government (KRG), 2020
• Conducted 8 scientific research seminars, organized 3 national workshops, and actively participated in 18 workshops and 24 seminars within the college setting, 2020
• Winner, Microsoft Azure Machine Learning Scholarship – Udacity, 2020

• Z. Zakariya Saleh, M. F. Abbod and R. Nilavalan, "Intelligent Resource Allocation via Hybrid Reinforcement Learning in 5G Network Slicing," in IEEE Access, vol. 13, pp. 47440-47458, 2025, https://doi.org/10.1109/ACCESS.2025.3550518.
• Saleh, Z. Z. (2023). A Review of Emerging Low Power Networks in Internet of Medical Things (IoMT). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 460, 25–35. https://doi.org/10.1007/978-3-031-37139-4_3.
• Othman, N. A., Saleh, Z. Z., & Ibrahim, B. R. (2022). A Low-Cost Embedded Car Counter System by using Jetson Nano Based on Computer Vision and Internet of Things. Proceedings of the 2022 International Conference on Decision Aid Sciences and Applications (DASA), 1171–1175. https://doi.org/10.1109/DASA54658.2022.9765087.
• Saleh, Z. Z., & Qadir, Q. M. (2020). The Downside of Software-Defined Networking in Wireless Network. UKH Journal of Science and Engineering, 4(2), 147–156. https://doi.org/10.25079/ukhjse.v4n2y2020.pp147-156.