معرفی
Dr. Saeed Bidi is a Senior Researcher at the Wolfson Institute of Population Health, Queen Mary University of London. He holds a PhD in STEM and specializes in developing data-driven systems for healthcare and engineering applications, particularly within the Genes and Health initiative. His expertise spans Data Engineering, Machine Learning, Deep Neural Networks, and Natural Language Processing. He integrates computational methods with quantitative research to address complex problems in population health and engineering systems.
Research Interests:
- Machine Learning Applications in Healthcare and Infrastructure
- Data Pipeline Development
- Time Series Analysis
- Computational Fluid Dynamics
- Genetic Epidemiology
Recent work focuses on predicting bridge deck temperatures using machine learning, numerical modeling of bubble collapse phenomena, and genetic studies in South Asian populations. Publications highlight interdisciplinary approaches to thermal analysis, ultrasound physics, and public health genetics. No scientific awards or grants are explicitly mentioned in the provided texts.
