Rama AlKhateeb

AI and IT engineer with years of experience in predictive modeling as well as working to make ideas useable. Project design and management, data analysis and interpretation.

Project support of several research and development projects related to new technologies,innovation using machine learning, deep learning and computer vision.

• Tracking wild animal behaviors using drones
• Monitoring camel’s daily activities by deep learning
• Monitoring the behavior of pregnant camels using deep learning and sending alerts during their delivery
• Oil spill detection
• Dolphins’ detection and identification with AI
• Detection camels' skin disease (ringworm) using computer vision
• Smart hives using IoT and AI bees counting
• Weather forecasting and classification by time series data
• Vegetation mapping of Fujairah
• Using machine learning in ECG analysis for predicting heart
  disease and attacks with 98.3% accuracy.
• Design a project life cycle for Hospital Management System
  using an entity relationship diagram (ERD)

• First author of an AI scientific paper titled "Daily activities of dromedary camel (Camelus dromedaries) kept under a farm condition using the technology of deep learning" Submitted in Tropical Animal Health and Production.
• "Success of embryo transfer of hybrid embryos in Old World camelids: A first study" Reproduction in Domestic Animals, 58(8), 1063-1069. DOI https://doi.org/10.1111/rda.14396
• "Monitoring the behavior of pregnant camels using deep learning and sending alerts during their delivery" Submitted in Tropical Animal Health and Production.

Google Data Analytics Professional Certificate| Coursera

• Honored by the Crown Prince of Fujairah, Sheikh Mohammed bin Hamad Al Sharqi to participate in UAE innovates under many projects.
• One of the winners projects in the "4th Forum for Women in Research QUWA 2023"