introduction/brief CV
Yousra holds a Ph.D. and an M.S. in Computer Science and Engineering, with a concentration in Artificial Intelligence, from the University of Connecticut (2017), and a B.S. in Computer Science with honors from Purdue University (2008). Since December 2024, she has served as Vice Dean of the College of Computer and Information Sciences for Female Students at King Saud University. She is also a member of the Permanent Advisory Committee for Colleges of Applied Sciences, where she helps evaluate academic programs and curricula. A member of the Institute of Electrical and Electronics Engineers (IEEE) since 2008, she also has advanced, engineering-level expertise in the fundamentals and infrastructure of quantum systems.
areas of expertise
- Extensive experience applying algorithms and data engineering to solve complex challenges; designed an automated scheduling system to optimize use of available resources and applied machine learning in disaster management and healthcare.
- Earned advanced professional certificates from the Massachusetts Institute of Technology (MIT) in machine learning, artificial intelligence, and quantum computing.
- Published peer‑reviewed papers at leading international conferences (e.g., IEEE) in artificial intelligence, traffic management, and healthcare.
- Active participant as a keynote speaker and panelist on “Leadership in the Age of AI” and computational medicine; contributed to organizing technical capstone project exhibitions.
- Member of the Institute of Electrical and Electronics Engineers (IEEE) since 2008.
- Served as a judge and evaluator for numerous technical and engineering projects.
- Contributed to the evaluation and accreditation of academic programs and curricula to ensure alignment with top engineering and technology quality standards.
- Advanced expertise in quantum computing; currently pursuing a specialized professional certificate from IBM in quantum programming and infrastructure design, enhancing the ability to assess and audit institutions and agencies for quantum‑computing infrastructure readiness.
publications
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courses
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Practical machine learning will introduce the fundamental concepts and algorithms that enable computers to learn from experience, with an emphasis on their practical application to real…
Fundamental concepts of data structures. Performance measurement of algorithms. Implementation and use of lists, stacks, queues, priority queues, trees, heaps, hash tables and graphs.
office hours
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