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Dr. Mai Alzamel

أستاذ مساعد

Assistant Professer

كلية علوم الحاسب والمعلومات
T118, Floor 3, Building 6

نبذة تعريفية / مختصر السيرة الذاتية

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

  • Data Science and Algorithms

  • Explainable Artificial Intelligence

  • Efficient Big Data Processing

  • Algorithm Engineering for Problem Optimization

Journal Editiroal Board

Degrees

  • 2021. PhD. Algorithm and Data Analysis. King’s College London.  KCL
  • 2011. MSc. Advanced Computer Science. University of Sheffield.  SHEFFILED
  • 2008. BSc. Information Technology. King Saud University.             KSU

 

مجالات الخبره

Data Science, String Algorithms and their Applications in Bioinformatics, and AI Applications.

المنشورات
المزيد ...

publications

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…

بواسطة Arwa Alsaadan, Mai Alzamel and Muhammad Hussain
2024
تم النشر فى:
Mathematics
publications
بواسطة Mai Alzamel, Hamza Ali Rizvi, Najwa Altwaijry, Isra Al-Turaiki
2024
تم النشر فى:
techscience
publications
بواسطة Norah Abanmi, Heba Kurdi and Mai Alzamel
2022
تم النشر فى:
Applied Sciences

المواد الدراسية
المزيد ...

course

Major data structures design techniques - Divide and conquer – Dynamic programming - Heuristics - Parallel algorithms - Analysis of algorithms - Orders of magnitude - Lower bound theory - Time and…

course

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.

course

The course provides an introduction to artificial intelligence. Topics include: problem-solving using search (uninformed search, informed search, local search, constraint satisfaction problems,…