Rabia Emhamed Al Mamlook
Department of Industrial and Manufacturing Engineering · Al Zawiya University
Research Interests
Smart Manufacturing, Machine learning, Data Mining and Healthcare Management ,Data models, Statistics Process Quality Control, and Deep Learning
Biography
Ph.D. graduate Industrial engineering &Engineering Management, and data scientist with strong skills in Statistics, and algorithms to big data sets related industries and health care engineering. Skilled in machine learning, data models, data mining, statistics process quality control, pre-processing, and visualization data to solve challenging business and industrial problems. Demonstrates experience with programming languages (e.g., R, SAS, Minitab, and Python).
Education
Ph.D. Industrial Engineering and Engineering Management from WMU, USA. Master’s in Applied Statistics & Biostatistics from WMU, USA. Master’s in Engineering Management from the University of Tripoli, Libya.
Recent Scopus Publications
- Explainable Machine Learning Models for Mortality Risk Prediction of Crimean-Congo Hemorrhagic Fever in Iraq
- Intelligent Wireless Communication System Optimization Using OFDM, Equalization, and Deep Learning Techniques
- Efficient attention-based Ghost-ResNet for brain tumor classification in magnetic resonance imaging (MRI)
- Innovative Edge Detection and Fine-Tuning for Enhanced Melanoma Classification Using Deep Learning
- CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE
Links
- ORCID https://orcid.org/0000-0002-2523-7819
- Google Scholar https://scholar.google.com/citations?user=eBbmYAUAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57216370112