A'aeshah Alhakamy is an Associate Professor of Computer Science at the Faculty of Computers and Information Technology (FCIT) at the University of Tabuk, Saudi Arabia. Her educational journey was marked by a full scholarship that supported her pursuit of higher education in Computer Graphics, Visualization, and Imaging abroad. Throughout her career at the university, she has held numerous administrative roles including Chair of the Computer Science Department for the Female Section, Deputy Supervisor of the Data Governance Unit, Data Management Lead, Academic Affairs Supervisor, Deputy Director of the Industrial Innovation and Robotics Center (IIRC), Researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center, and Member of the Permanent Supervisory Committee for Social Responsibility.
A'aeshah earned her Ph.D. in Computer Science in 2020 from Purdue University, Indianapolis , under the mentorship of Professor Mihran Tuceryan. She also holds an M.Sc. in Computer and Information Science from the Purdue School of Science (2016) and a B.Sc. in Computer Science from Taibah University, Medina, Saudi Arabia (2005).
During her time at Indiana University-Purdue University, she was a Teaching Assistant in the Department of Computer and Information Science (Fall 2017) and a Graduate Research Assistant at the Luddy School of Informatics, Computing, and Engineering in the Human-Centered Computing Department. Under Professor Francesco Cafaro, she worked in the Data Lab on a project focused on "Aiding Reasoning about Correlation and Causation".
A'aeshah's research is primarily in the fields of
Computer Graphics (CG)
Computer Vision (CV)
Visualization & Imaging
| For updated version visit my personal website
https://aaeshah.github.io/
السيرة الذاتية
جدول الدراسة
الابحاث والمؤلفات
المشاريع البحثية
الجوائز
الخبرات والمناصب الإدارية
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المؤهلات العلمية
PhD, in Computer Science - Graphics, Visualization, Imaging Track - Purdue University, Indianapolis, USA 2017-2020
MSc, in Computer Science - Graphics, Visualization, Imaging Track - Purdue University, Indianapolis, USA, 2015-2016
BSc, in Computer Science - Taibah University, Medina, Saudi Arabia
الاهتمامات البحثية
Computer Graphics (CG) Computer Vision (CV), Visualization, and Imaging
Extended Reality (Augmented, Virtual, Mixed)
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الكلية
كلية الحاسبات و تقنية المعلومات
التخصص العام
علوم الحاسب
التخصص الدقيق
الرسم بالحاسب
الدرجة العلمية (المرتبة)
دكتوراه
الجنسية
السعودية
المسمى الوظيفي
استاذ مشارك
2026/01/22 - 01:53 م03/شعبان/1447 - 16:53
23 Feb 2025 - Present | Associate Professor of Computer Science, Faculty of Computers and Information Technology at the University of Tabuk. Specialized in Computer Graphics, Computer Vision, Visualization, Imaging, and Extended Reality. The notification of promotion decision date was 22 Dec 2024.
Jan 2025 - Present | Department Chair of Computer Science, Female Section, Faculty of Computers and Information Technology at the University of Tabuk.
Nov 2024 - Nov 2025 | Deputy Supervisor of Data Governance Unit, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Sep 2023 - Present | Vice Chair of the Standing Executive Committee for Data Management and Governance, of Data Governance Unit, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Aug 2023 - Aug 2025 | Data Management Lead of Data Governance Unit, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Jun 2023 - Dec 2023 | Erasmus+ Liaison Officer Research and Consulting Institute, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
May 2023 - Present | Member of the Computer Science Department Council, Faculty of Computers and Information Technology at the University of Tabuk.
May 2021 - May 2023 | Member of the Information Technology Department Council, Faculty of Computers and Information Technology at the University of Tabuk.
Jan 2023 - Present | Researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk
Dec 2022 - Present | Member of the Permanent Committee Supervising Social Responsibility Activities, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Apr 2021 - Dec 2024 | Assistant Professor of Computer Science, Faculty of Computers and Information Technology at the University of Tabuk. Specialized in Computer Graphics, Computer Vision, Visualization, Imaging, and Extended Reality.
Jan 2023 - Aug 2023 | Supervisor of Academic Affairs of Computer Science Department, Faculty of Computers and Information Technology at the University of Tabuk
Jan 2022-Present | The Saudi Federation For Cybersecurity, Programming, and Drones Liaison Officer Research and Consulting Institute, Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Jan 2021 - Jan 2023 | Deputy Director of the Industrial Innovation and Robotics Center (IIRC), Vice Rectorate for Postgraduate Studies and Scientific Research at the University of Tabuk.
Fall 2018- Fall 2020 | Graduate Research Assistant of the Human-Computer Interaction Programat Indiana University @Indianapolis.
Fall 2017 | Graduate Teaching Assistant of the Computer Science Department, School of Science at Purdue University @Indianapolis.
Dec 2009 - Apr 2021 | Teaching Assistant of Computer Science, Faculty of Computers and Information Technology at the University of Tabuk.
2008 | Computer Instructor at Modern Girl Institute for Computer and Languages and at several High Schools.
2007 | Secretary at Taibah Charity Association in Madina.
CHS:Eager:Aiding Reasoning about Correlation and Causation
People are increasingly exposed to data and datasets in everyday life, in domains from health and science to news and policy This raises important questions about how to help non-specialists make sense of those data, in particular, around understanding how to think about correlation and causation These concepts can be slippery confounding correlation with causation may lead people to assume causality when there is none, but correlations do often provide precious hints to causation This project will investigate how theories of cognition that emphasize the relationship between thinking and physical action can be used to design full-body and tangible ways to interact with data-based museum installations that prime people to think in ways that improve their understanding of causation and correlation The goal is to develop bridges between theories of embodied cognition, the design of data visualizations, and long-term learning effects about science, technology, engineering, and mathematics concepts discussed in the installations The project will be deployed in real contexts, having direct potential impacts on visitors understanding, and will be used to inform educational curricula in ubiquitous computing and design for informal learning
The project is organized in four phases that will be conducted at Discovery Place, a science museum in Charlotte, NC In part one, the team will design visualizations of geo-referenced datasets on a wall-size projected screen Using a semi-experimental design, groups of visitors will interact with one of several variations of the installation, including full-body and tangible interaction styles based on different physical metaphors for correlation as well as a tablet-based control condition In part two, the team will experiment with different styles of data visualization (eg, line charts or heat maps), and in part three visitors will be asked personalize the dataset on display these extensions are necessary to assess the generalizability of the results from phase one to different data presentations and domains Part four addresses transferability of learning across time and to other contexts, following up with museum visitors weeks or months after their visit and asking them to evaluate the likely correctness of data-based claims about correlation and causation in science articles in domains such as health remedies
This award reflects NSFs statutory mission and has been deemed worthy of support through evaluation using the Foundations intellectual merit and broader impacts review criteria
Extraction and Integration of Physical Illumination in Dynamic Augmented Reality Environments
Although current augmented, virtual, and mixed reality (AR/VR/MR) systems are facing advanced and immersive experience in the entertainment industry with countless media forms Theses systems suffer a lack of correct direct and indirect illumination modeling where the virtual objects render with the same lighting condition as the real environment Some systems are using baked GI, pre-recorded textures, and light probes that are mostly accomplished offline to compensate for precomputed real-time global illumination (GI) Thus, illumination information can be extracted from the physical scene for interactively rendering the virtual objects into the real world which produces a more realistic final scene in real-time This work approaches the problem of visual coherence in AR by proposing a system that detects the real-world lighting conditions in dynamic scenes, then uses the extracted illumination information to render the objects added to the scene The system covers several major components to achieve a more realistic augmented reality outcome First, the detection of the incident light (direct illumination) from the physical scene with the use of computer vision techniques based on the topological structural analysis of 2D images using a live-feed 360o camera instrumented on an AR device that captures the entire radiance map Also, the physics-based light polarization eliminates or reduces false-positive lights such as white surfaces, reflections, or glare which negatively affect the light detection process Second, the simulation of the reflected light (indirect illumination) that bounce between the real-world surfaces to be rendered into the virtual objects and reflect their existence in the virtual world Third, defining the shading characteristic/properties of the virtual object to depict the correct lighting assets with a suitable shadow casting Fourth, the geometric properties of real-scene including plane detection, 3D surface reconstruction, and simple meshing are incorporated with the virtual scene for more realistic depth interactions between the real and virtual objects These components are developed methods which assumed to be working simultaneously in real-time for photo-realistic AR The system is tested with several lighting conditions to evaluate the accuracy of the results based on the error incurred between the real/virtual objects casting shadow and interactions For system efficiency, the rendering time is compared with previous works and research Further evaluation of human perception is conducted through a user study The overall performance of the system is investigated to reduce the cost to a minimum
Extended Reality (XR) making Immersive Technologies in Training and Repair: The Key to Unlocking Industry 40
One of the most widely used technologies in the 21st century is Extended Reality (XR) It has been regarded as one of the key components of the Industry 40 revolution The use of extended reality systems including Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Augmented Virtuality (AV), has been on the rise due to the increasing availability of high-end hardware and the ease of implementing these systems This technology can be used for various applications, such as safety training and repair (Alizadehsalehi 2020) (Santi 2021) Despite the increasing number of publications about the use of XR in manufacturing training, there is still room for improvement in the current state of the art of this technology To this end, our project aims to investigate the use of XR technologies in training personnel in the field of manufacturing and provide guidance for machinery repair In this research, we first will discuss the need for extended reality in manufacturing, technical and vocational education and training (TVET) (Doolani 2020) We then present various key application domains where it can be utilized, such as maintenance training, assembly, and repair We are eager to develop a complete system for specific machinery at Neom in collaboration with the Industrial Innovation and Robotics Center for the purpose of this project The proposed framework aims to provide a clear guideline on the steps involved in implementing and evaluating the use of extended reality in manufacturing and education for training and repair It also strengthens the importance of a user-centered approach in the Fourth Industrial Revolution (4IR) (Sarkis 2020)
2025
Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.1109/ACCESS.2025.3599337
Incentive Reward for Distinguished Researchers, high-citation scientific research, Deanship of Scientific Research, University of Tabuk.
2024
Excellence Award, in the field of teaching and learning, the path of excellence in e-learning (National Excellence), University of Tabuk Excellence Award in its first distinguished session 1445 AH - 2024 AD.
Outstanding Faculty Member Award, in Student Activities, Deanship of Student Affairs, University of Tabuk
Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.1007/s11042-023-17598-7
Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.3390/s23136024
2023
Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.3390/sym15030699
Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.3390/su15020911
Incentive Reward for Distinguished Researchers, published with graduate students in Web of Science classified journal, Deanship of Scientific Research, University of Tabuk. For manuscript http://dx.doi.org/10.14569/IJACSA.2022.0131246
2022
President’s Award for Outstanding Scientific Research, in research and innovation for scientific and engineering track, University of Tabuk. Post
2021
Outstanding Scientific Research Award, Web of Science Q1 Journal, Deanship of Scientific Research, University of Tabuk. For manuscript https://doi.org/10.1145/3386496
2020
Travel Award, Attend CHI conference from Dr Cafaro, NSF, and IUPUI Data Lab full support.
2019
Outstanding Scientific Research Award, Publishing while a Ph.D. student from the Saudi Arabian Cultural Mission (SACM). For manuscript https://doi.org/10.1109/INFOCT.2019.8710982
2018
Travel Award, Financial Fund to attend a conference title "Introduction to Academic Leadership" provided by the Saudi Arabian Cultural Mission (SACM) that includes travel and accommodation.
2016
Master with high GPA Award, Graduating a Master’s degree with a high GPA from the Saudi Arabian Cultural Mission (SACM).
2013
Scholarship, Full Scholarship from the University of Tabuk and the Saudi Arabian Cultural Mission (SACM).
2005
Honor Degree, Graduating
Journal Articles
Alhakamy, A. (2025a). Advancing sdg5: Machine learning and statistical graphics for women’s empowerment and gender equity. Sustainability, 17(21). doi:10.3390/su17219706
Friedman, A., Tazike, M., Gokpinar Shelton, E., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “i’m a fish!”: Exploring children’s engagement with human–data interactions in museums. Applied Sciences, 15(21). doi:10.3390/app152111304
Alhakamy, A. (2025b). Intersecting realms: Examining the convergence of vision and ai in extended reality graphics. IEEE Access, 1–1. doi:10.1109/ACCESS.2025.3599337
Albalawi, S., Alamri, L., Atut, J., Albalawi, S., Haddaddi, R., & Alhakamy, A. (2025). Mahya: Facial recognition-based pilgrim identification system for enhanced health monitoring and assistance. International Journal of Advanced Computer Science and Applications, 16(3). doi:10.14569/IJACSA.2025.0160391
Alhakamy, A. (2024a). Extended reality (xr) toward building immersive solutions: The key to unlocking industry 4.0. ACM Comput. Surv., 56(9). doi:10.1145/3652595
Alhakamy, A. (2023a). Digital vaccination passport and administrative burden of covid-19 official application based on twitter(x) discourse: Public interest vs democracy. Multimedia Tools and Applications, 23(7). doi:10.1007/s11042-023-17598-7
Alatawi, H., Albalawi, N., Shahata, G., Aljohani, K., Alhakamy, A., & Tuceryan, M. (2023). Augmented reality-assisted deep reinforcement learning-based model towards industrial training and maintenance for nanodrop spectrophotometer. Sensors, 23(13). doi:10.3390/s23136024
Alhakamy, A. (2023b). Fathoming the mandela effect: Deploying reinforcement learning to untangle the multiverse. Symmetry, 15(3). doi:10.3390/sym15030699
Alhakamy, A., Alhowaity, A., Alatawi, A. A., & Alsaadi, H. (2023). Are used cars more sustainable? price prediction based on linear regression. Sustainability, 15(2). doi:10.3390/su15020911
Albalawi, S., Alshahrani, L., Albalawi, N., Kilabi, R., & Alhakamy, A. (2022). A comprehensive overview on biometric authentication systems using artificial intelligence techniques. International Journal of Advanced Computer Science and Applications, 13(4). doi:10.14569/IJACSA.2022.0130491
Alharbi, R., Alageel, N., Alsayil, M., Alharbi, R., & Alhakamy, A. (2022). Prediction of oil production through linear regression model and big data tools. International Journal of Advanced Computer Science and Applications, 13(12). doi:10.14569/IJACSA.2022.0131246
Alomani, S. M., Alhawiti, N. I., & Alhakamy, A. (2022). Prediction of quality of water according to a random forest classifier. International Journal of Advanced Computer Science and Applications, 13(6). doi:10.14569/IJACSA.2022.01306105
Alhakamy, A., & Tuceryan, M. (2020a). Real-time illumination and visual coherence for photorealistic augmented/mixed reality. ACM Comput. Surv., 53(3). doi:10.1145/3386496
Trajkova, M., Alhakamy, A., Cafaro, F., Vedak, S., Mallappa, R., & Kankara, S. R. (2020). Exploring casual covid-19 data visualizations on twitter: Topics and challenges. Informatics, 7(3). doi:10.3390/informatics7030035
Conference Proceedings
Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and forecasters: How children engage. In Proceedings of the 2025 acm symposium on spatial user interaction. doi:10.1145/3694907.3765950
Alhakamy, A. (2024b). "xr is a game": Exploring people’s reasons for using, limiting, and abandoning extended reality. In 2024 ieee international conference on real-time computing and robotics (rcar) (pp. 271–278). doi:10.1109/RCAR61438.2024.10670927
Alessa, N., Majdua, A., Alshehri, S., Alhawiti, M., Aljohani, R., & Alhakamy, A. (2023). Banking in terms of deposit prediction based on machine learning and big data analytics. In 2023 11th international conference on control, mechatronics and automation (iccma) (pp. 69–74). doi:10.1109/ICCMA59762.2023.10374595
Alshammari, A., Alshammari, R., Altalak, M., Alshammari, K., & Alhakamy, A. (2022). Credit-card fraud detection system using big data analytics. In 2022 international conference on electrical, computer, communications and mechatronics engineering (iceccme) (pp. 1–7). doi:10.1109/ICECCME55909.2022.9987791
Alhakamy, A., Trajkova, M., & Cafaro, F. (2021). Show me how you interact, i will tell you what you think: Exploring the effect of the interaction style on users’ sensemaking about correlation and causation in data. In Designing interactive systems conference 2021 (pp. 564–575).
Books and Chapters
Alhakamy, A., & Tuceryan, M. (2020b). Physical environment reconstruction beyond light polarization for coherent augmented reality scene on mobile devices (M. L. Gavrilova, C. J. K. Tan, J. Chang, & N. M. Thalmann, Eds.). doi:10.1007/978-3-662-61983-4_2
Alhakamy, A., Cafaro, F., Trajkova, M., Kankara, S., Mallappa, R., & Veda, S. (2020). Design strategies and optimizations for human-data interaction systems in museums. In 2020 ieee 20th international conference on advanced learning technologies (icalt) (pp. 246–248). doi:10.1109/ICALT49669.2020.00081
Trajkova, M., Alhakamy, A., Cafaro, F.,Mallappa, R., & Kankara, S. R. (2020).Move your body: Engaging museum visitors with human-data interaction. In Proceedings of the 2020 chi conference on human factors in computing systems (pp. 1–13). doi:10.1145/3313831.3376186
Alhakamy, A., & Tuceryan, M. (2019a). An empirical evaluation of the performance of real-time illumination approaches: Realistic scenes in augmented reality. In L. T. De Paolis & P. Bourdot (Eds.), Augmented reality, virtual reality, and computer graphics (pp. 179–195). doi:10.1007/978-3-030-25999-0_16
Alhakamy, A., & Tuceryan, M. (2019b). Polarization-based illumination detection for coherent augmented reality scene rendering in dynamic environments. In M. Gavrilova, J. Chang, N. M. Thalmann, E. Hitzer, & H. Ishikawa (Eds.), Advances in computer graphics (pp. 3–14). doi:10.1007/978-3-030-22514-8_1
Alhakamy, A., & Tuceryan, M. (2019c). Ar360: Dynamic illumination for augmented reality with real-time interaction. In 2019 ieee 2nd international conference on information and computer technologies (icict) (pp. 170–174). doi:10.1109/INFOCT.2019.8710982
Alhakamy, A., & Tuceryan, M. (2019d). Cubemap360: Interactive global illumination for augmented reality in dynamic environment. In 2019 southeastcon (pp. 1–8). doi:10.1109/SoutheastCon42311.2019.9020588
Alsaiari, A., Rustagi, R., Alhakamy, A., Thomas, M. M., & Forbes, A. G. (2019). Image denoising using a generative adversarial network. In 2019 ieee 2nd international conference on information and computer technologies (icict) (pp. 126–132). doi:10.1109/INFOCT.2019.8710893
Cafaro, F., Trajkova, M., & Alhakamy, A. (2019). Designing embodied interactions for informal learning: Two open research challenges. In Proceedings of the 8th acm international symposium on pervasive displays. doi:10.1145/3321335.3329688