Dr. Aamna AlShehhi joined Khalifa University as an Assistant Professor of Electrical Engineering and Computer Science in 2020. Her research interests include Statistical Analysis, Big Data analytics, Machine Learning, and Artificial Intelligence. She holds a Bachelor's degree in Software Engineering from the United Arab Emirates University (2009), and Master's in Computing and Information Science (2013) and PhD in Interdisciplinary Engineering (2017) degrees from Masdar Institute of Science and Technology in collaboration with the Massachusetts Institute of Technology (MIT). During her PhD, Dr. AlShehhi was part of an exchange program for one semester at MIT (2015). During her studies, her research was based on time series analysis, big data analysis, and machine learning modeling for weather forecasting for different weather stations in the UAE and Twitter data analysis in the context of the Arab world with a special focus on the UAE. This involved a combination of Sentiment Analysis, Complex Collective Behavior, and Natural Language Processing.
In 2017, Dr. AlShehhi joined Khalifa University and MIT as a post-doctoral fellow. She also joined the Imperial College London as an honorary research associate at the School of Public Health, Epidemiology & Biostatistics (inc MRC-PHE Centre). Her post-doc research focus has been on Causal Inference, Machine Learning, and Artificial Intelligence for the medical domain. Her works centered on skin lesion analysis toward melanoma detection and screening different drugs to repurpose a drug that can delay the onset and the progress of dementia. Aside from her academic project, Dr. AlShehhi collaborates with researchers from the Novartis Institute for Biomedical Research to build Deep Learning models for early-stage cancer detection using genomic data.
- PhD, Interdisciplinary Engineering, Masdar Institute of Science and Technology (UAE) in collaboration with Massachusetts Institute of Technology (USA), 2017
- MSc, Computing and Information Science, Masdar Institute of Science and Technology (UAE) in collaboration with Massachusetts Institute of Technology (USA), 2013
- BSc, Software Engineering, United Arab Emirates University (UAE), 2009
- Bioinformatics (BMED430)
- Deep Learning System Design (ECCE635)