Dr. Roaa Soloh is an Assistant Professor at Rafik Hariri University, College of Arts & Sciences. She received her Ph.D. in Computer Science from Lebanese University, and Mathematics from Le Havre University with a thesis titled "Graphs and Binary Linear Programming for Natural Object Modeling in Computer Vision" in 2022. She gained her Research Master's degree in Computer Science and Risk Management from Lebanese University in 2017, at the same year, she gained the Bachelor in Islamic Legislation from Beirut Islamic University. In 2016, she obtained her Bachelor's Degree in Computer Science from Beirut Arab University.

Dr. Soloh served as part-time lecturer in Fall 2018, and Spring 2022 semesters. Starting with the Fall 2022, she became a full-time faculty at Rafik Hariri University. The taught courses covered a wide range of topics, including, but not limited to: Web Programming, Image Processing, Computer Vision, Mobile Development, and Database Management.

Her research interest includes topics related to Computer Vision, Optimization, Graph Theory, and Image processing.

EDUCATION:

• PhD in Computer Science from the Lebanese University, Lebanon, and Mathematics from Le Havre University, Normandy, France (2022).
• Research Master's degree in Computer Science and Risk Management from Lebanese University (2017).
• Bachelor’s in Islamic Legislation from Beirut Islamic University (2017).
• BSc in Computer Science from Beirut Arab University (2016).

PROFESSIONAL INTERESTS:

• Computer Vision
• Image Processing
• Web Development
• Medical Imaging Processing

MEMBERSHIPS:

• Member of the Syndicate of Computer Sciences in Lebanon

CERTIFICATES:

• AI for Educators, Decemeber 2024
• TOT in Robotics, January 2025
• AI-Assisted Scientific Writing Course, accredited by the British CPD Certification Service, September 2025.

PUBLICATIONS:

Book Chapters

• Soloh, A. Rammal, M. El-Abed, “Brain Tumor Recognition and Classification Techniques”, ISBN: 9780443240287, Data Science in the Medical Field.

Journal Publications

• Soloh, R., Alabboud, H., Shahin, A., Yassine, A., & El Chakik, A. (2024). Brain Tumor Segmentation Based on α‐Expansion Graph Cut. International Journal of Imaging Systems and Technology, 34(4), e23132.
• Soloh, R., El Chakik, A., Alabboud, H., Shahin, A., & Yassine, A. (2021). New descriptors combination for 3D mesh correspondence and retrieval. International Journal of Computational Vision and Robotics, 1(1), 1.
• Soloh, R., AbouOrm, L., Dabdoub, D., (2025). An Image-Based Analytics Framework for Early Autism Detection Using Eye Movements. (Under Review)
• Soloh, R., Alabboud, H., Yassine, A., (2025). Hybrid Geometric Matching for Container Identification and Hungarian Assignment in Logistics Yards. (Under Review).
• Soloh, R., Nakhal, B., ElChakik, A. (2025). Multimodal Brain Tumor Segmentation using the α-Expansion Graph Cut. (Under Review)

Conference Papers

• Soloh, R., Elchakik, A., Alabboud, H., Shahin, A., & Yassine, A. 3D Mesh Matching Using Surface Descriptor and Integer Linear Programming.
• Soloh, R., El Batish, M., AbouOrm, L., (2025). A Lightweight Adversarial and Graph-Cut Hybrid Framework for Accurate and Fast Brain Tumor Segmentation in FLAIR MRI. (In press).
• Soloh, R., AbouOrm, L., El Batish, M., (2025). Enhanced Patch-Wise Brain Tumor Segmentation Using U-Net and 𝛼 expansion-Based graph Cut Refinement. (In press).

Commentary

• Soloh, R., Alabboud, H., Shahin, A., Yassine, A., & Chakik, A. E. (2024). Recent advances and challenges in brain tumor segmentation utilizing α-expansion graph cut. J Biomed Res, 5(1), 115-118.