Amani Ageeli
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.
Biography
Amani Ageeli is a Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), working in Prof. Markus Hadwiger research group High-Performance Visualization Group. She earned her master’s degree in Computer Science from KAUST and her bachelor’s degree in Computer Science from Umm Al-Qura University. Her doctoral research focuses on developing compact, efficient approaches for analyzing large-scale, time-dependent scientific data. Throughout her studies, she has contributed to teaching and supporting visualization and programming courses, and has also taught pre-university students through KAUST educational programs such as KVA and Space2101.
Research Interests
Amani is passionate about computer graphics, scientific visualization, real-time rendering, and virtual and augmented reality. Aside from research, Amani enjoys teaching, she joined as a TA in couple of graduate courses and for high school student program. Amani has experience in design and technical illustration, with interests spanning GPU-based visualization, real-time rendering, scientific visualization, and scientific illustration.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Space 2101 Camp Mentor, 2023 - present
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TEDxKAUST Designer, 2021
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Student Chair for EGPGV, 2020 - 2021
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Professional Memberships
- Programming Instructor, KAUST Virtual Reality (KVA), 2023
- Teaching Assistant, KAUST Virtual Reality (KVA), 2020 - 2022
- Teaching Assistant, King Abdullah University of Science and Technology (KAUST), 2019 - 2023
- MiSK/SNK Internship Program, Japan, Osaka, 2018
- Programmer and Designer of Deanship of Scientific Research, Umm Al-Qura University, 2016 - 2017
- Student Membership, ACM, 2025
- Student Membership, IEEE, 2025
Education
- Master of Science (M.S.)
- Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2019
- Bachelor of Science (B.S.)
- Computer Science, Umm Al-Qura University, Saudi Arabia, 2020
