CV

Curriculum vitae

Doctoral researcher in Artificial Intelligence working on recommender systems, multimodal and sequential learning, fair representation learning, optimisation, and robust evaluation.

Education

PhD in Artificial Intelligence, University of Surrey

October 2022 - Present | EPSRC funded | Final thesis write-up stage

Thesis: Architecture and Objective Design for Robust Recommendation under Sparse Implicit Feedback. Supervisors: Prof Simon Hadfield, Dr Matthew Vowels, and Prof Liqun Chen.

MEng (Hons) Electronic Engineering with Nanotechnology, University of Surrey

September 2019 - June 2022 | First Class

Final project: Novel Design of Capacitive Tactile Sensor and Velostat Evaluation.

Electronic Engineering with Nanotechnology, University of York

September 2018 - June 2019 | Year 1, First Class (93%)

Research interests

  • Recommender systems and sparse implicit feedback
  • Multimodal and sequential learning
  • Contrastive and graph representation learning
  • Fair representation learning
  • Optimisation, loss design, and distributional robustness
  • Privacy-preserving machine learning

Research experience

PhD Researcher in Artificial Intelligence, University of Surrey

October 2022 - Present

  • Conducting EPSRC-funded research on architecture and objective design in recommender systems, spanning multimodal and sequential recommendation, fair representation learning, optimisation, loss functions, and robust evaluation.
  • Leading the end-to-end research workflow from literature review and problem formulation through implementation, experiments, ablations, analysis, visualisation, and writing.
  • Reviewing research for SIGIR, AAAI, ICML, ICLR, and RecSys from 2024 to 2026.

Professional experience

IT and Sales Associate, Gulf Conferences Ltd

June 2019 - Present

  • Coordinate website, social media, video, and graphics activity while supporting network infrastructure, troubleshooting, data access, and backups.
  • Organise virtual events and support client-facing sales and university relationships.

Selected projects

Technical skills

Programming: Python, C/C++, MATLAB
Machine learning: PyTorch, recommender systems, multimodal learning, sequential modelling, contrastive learning, fair representation learning, optimisation, model evaluation, and experimental design
Research: LaTeX, technical writing, literature review, visualisation, and research communication

Selected publications and manuscripts

  • Differential Adjusted Parity for Learning Fair Representations. ICLR AFAA Workshop, 2026. arXiv / PDF
  • DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling. arXiv:2602.07206, 2026. arXiv / PDF
  • Multimodal Enhancement of Sequential Recommendation. arXiv:2602.07207, 2026. arXiv / PDF
  • Sequences as Nodes for Contrastive Multimodal Graph Recommendation. arXiv:2602.07208, 2026. arXiv / PDF

Awards and funding

EPSRC-funded doctoral research, University of Surrey.

Languages

English and Arabic.

Contact

London, UK
Email: bsahiony@gmail.com