Mohammed Rahman Sherif

About Me

Hi, I am Mohammed R. Sherif, a 2nd year Ph.D. student at Edge Hill University, working under the supervision of Prof. Ardhendu Behera. My Ph.D. research is generously funded by the EPSRC grant ATRACT and UKRI. My work primarily focuses on few-shot Vision-Language Model (VLM) adaptation, parameter-efficient fine-tuning, multimodal video reasoning, fine-grained recognition, and Graph Neural Networks.

I am actively seeking a research internship! Please feel free to reach out if you have any opportunities.

Research Interests

• Vision-Language Models: Few-shot adaptation, parameter-efficient fine-tuning (PEFT)
• Computer Vision: Multimodal video understanding, fine-grained recognition
• Deep Learning: Graph Neural Networks (GNNs)

News

• [Mar. 2026] The arXiv preprint of my CVPR 2026 paper is now available!
• [Mar. 2026] Submitted two first-author papers to ECCV and one co-authored paper to Pattern Recognition.
• [Feb. 2026] One paper accepted to CVPR 2026!
• [Jan. 2026] Submitted a first-author paper to ICML and a co-authored paper to IJCV.
• [Dec. 2025] Submitted a paper to IEEE Transactions on Affective Computing (TAFFC).
• [Jun. 2025] Attended the prestigious International Computer Vision Summer School (ICVSS) and won Runner-Up in the Essay Competition among a highly competitive global cohort.

Publications

Services

Journal Reviewer

• International Journal of Computer Vision (IJCV)

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