introduction/brief CV
About
Dr. Al Zamel is currently an Assistant Professor in the Department of Computer Science at King Saud University. She is an Associate Fellow certified by the Higher Education Academy in the UK. Previously, she worked as a Research Fellow at University College London (UCL), focusing on Information Retrieval, Reinforcement Learning, Complex Communication, and AI for Health in collaboration with Google. Dr. Al Zamel has also served as a guest editor for the Information and Computation Journal at the Massachusetts Institute of Technology (MIT), among other contributions. Her research interests lie in Algorithms and Data Analysis, particularly at the intersection of Data Science and Artificial Intelligence. Motivating applications include business and healthcare.
Research Interests
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Data Science and Algorithms
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Explainable Artificial Intelligence
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Efficient Big Data Processing
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Algorithm Engineering for Problem Optimization
Journal Editiroal Board
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Present. Member of Editorial Board of AIMS Medical Science
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2021. Guest Editor. Journal of Computational Biology
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2021. Guest Editor. Algorithmica Journal
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2019. Guest Editor. Information and Computation
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2017. Guest Editor. AIMS Medical Science
Degrees
- 2021. PhD. Algorithm and Data Analysis. King’s College London.
- 2011. MSc. Advanced Computer Science. University of Sheffield.
- 2008. BSc. Information Technology. King Saud University.
areas of expertise
Data Science, String Algorithms and their Applications in Bioinformatics, and AI Applications.
publications
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Epilepsy is a chronic disease and one of the most common neurological disorders worldwide. Electroencephalogram (EEG) signals are widely used to detect epileptic seizures, which provide…
courses
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Major data structures design techniques - Divide and conquer – Dynamic programming - Heuristics - Parallel algorithms - Analysis of algorithms - Orders of magnitude - Lower bound theory - Time and…
This course aims to expose the students to cutting edge topics in Data Science. This is achieved by undertaking state of the art Data Science methods, techniques and tools.
The course provides an introduction to artificial intelligence. Topics include: problem-solving using search (uninformed search, informed search, local search, constraint satisfaction problems,…