عائشة عبدالله مقبول الحكمي
Aaeshah Alhakamy is an Associate Professor of Computer Science at the Faculty of Computers and Information Technology (FCIT) in the University of Tabuk, Saudi Arabia, where she was awarded a full scholarship to pursue higher education abroad in Computer Graphics, Visualization, and Imaging She was assigned to several administrative positions such as department chair of computer science - female section, deputy supervisor of data governance unit, data management officer, supervisor of academic affairs, deputy director of the Industrial Innovation and Robotics Center (IIRC), a researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center, and a member of the permanent supervisory committee for social responsibility
Aaeshah holds a PhD (2020) in Computer Science from Purdue University in Indianapolis under the supervision of Professor Mihran Tuceryan She also holds an MSc (2016) in Computer and Information Science from the Purdue School of Science, Purdue University Indianapolis, IN, USA She got her BSc (2005) in Computer Science from Taibah University, Medina, Saudi Arabia
While studying at Purdue, Aaeshah worked as a teaching assistant at the Department of Computer and Information Science in the fall of 2017 She also worked as a graduate research assistant at the Luddy School of Informatics, Computing, and Engineering in Human-Centered Computing Department under the supervision of Professor Francesco Cafaro in Data Lab with NSF funded project named "Aiding Reasoning about Correlation and Causation"
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| For updated version visit my personal website
aaeshah(dot)github(dot)io
الخبرات والمناصب الإدارية
- Research Assistant at Indiana University - 2018 to 2020
- Teaching Assistant at Purdue University - Fall 2017
- Member of Courses Quality Committee - 2011 to 2013
- Academic Advisor - 2012 to present
- Member of Examination Committee at UT - 2021
- Assistant Professor at UT - April 2021 and progressing
- Deputy Director of Industrial Innovation & Robotics Center - Jan 2021 to Jan 2023
- Supervisor of Academic Affairs - Jan 2023 to Aug 2023
- Member of the Permanent Committee Supervising Social Responsibility Activities - Dec 2022 to present
- Researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center - Jan 2023 to present
- Data Management Officer at the Data Governance Office - Aug 2023 to Aug 2025
- Vice Chair of the Standing Executive Committee for Data Management and Governance - Sep 2023 to present
- Department Chair of Computer Science - Female Section - Jan 2025 - Present
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)
اليوم | المادة | الوقت |
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الخميس | الرجاء زيارة موقعي الشخصي للحصول على الجدول المحدث يوميا على الرابط aaeshah(dot)github(dot)io | 09:00 - 13:00 |
- Alhakamy, Aaeshah Abduallah (2020): Extraction and Integration of Physical Illumination in Dynamic Augmented Reality Environments Purdue University Graduate School Thesis https://doiorg/1025394/PGS12950315v1
- Milka Trajkova, Aaeshah Alhakamy, Francesco Cafaro, Sanika Vedak, Rashmi Mallappa, and Sreekanth R Kankara 2020 Exploring Casual COVID-19 Data Visualizations on Twitter: Topics and Challenges Informatics 7, no 3: 35 https://doiorg/103390/informatics7030035
- Aaeshah Alhakamy, Milka Trajkova, Francesco Cafaro, Rashmi Mallappa, Sreekanth R Kankara, and Vedak Sanika 2020 Design strategies and optimizations for human-data interaction systems in museums In Proceedings of the 2020 International Conference on Advanced Learning Technologies (ICALT ’20) IEEE https://doiorg/101109/ICALT49669202000081
- Aaeshah Alhakamy and Mihran Tuceryan 2020 Real-Time Illumination and Visual Coherence for Photorealistic Augmented/Mixed Reality ACM Comput Surv 53, 3, Article 49 (May 2020), 34 pages https://doiorg/101145/3386496
- Milka Trajkova, Aaeshah Alhakamy, Francesco Cafaro, Rashmi Mallappa, and Sreekanth R Kankara 2020 Move Your Body: Engaging Museum Visitors with Human-Data Interaction In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) Association for Computing Machinery, New York, NY, USA, 1–13 https://doiorg/101145/33138313376186
- Aaeshah Alhakamy and Mihran Tuceryan 2020 Physical Environment Reconstruction Beyond Light Polarization For Coherent Augmented Reality Scene On Mobile Devices In Transactions on Computational Science XXXVII: Special Issue on Computer Graphics Springer Berlin Heidelberg, Berlin, Heidelberg, 19–38 https://doiorg/101007/978-3-662-61983-4_2
- Francesco Cafaro, Milka Trajkova, and Aaeshah Alhakamy 2019 Designing Embodied Interactions for Informal Learning: Two Open ResearchChallenges In Proceedings of the 8th ACM International Symposium on Pervasive Displays (PerDis ’19) ACM, New York, NY, USA, Article 28, 2 pages https://doiorg/101145/33213353329688
- Aaeshah Alhakamy and Mihran Tuceryan 2019 An Empirical Evaluation of the Performance of Real-Time Illumination Approaches: Realistic Scenes in Augmented Reality In Augmented Reality, Virtual Reality, and Computer Graphics (AVR19) Springer International Publishing, Cham, 179–195 https://doiorg/101007/978-3-030-25999-0_16
- ACM/Springer CGI19 Aaeshah Alhakamy and Mihran Tuceryan 2019 Polarization-Based Illumination Detection for Coherent Augmented Reality Scene Rendering in Dynamic Environments In Proceedings of the 36th Computer Graphics International (CGI’19) in cooperation with ACM SIGGRAPH and Eurographics, chapter in (Advances in Computer Graphics) Springer International Publishing, Cham, 3–14 https://doiorg/101007/978-3-030-22514-8_1
- Aaeshah Alhakamy and Mihran Tuceryan 2019 CubeMap360: Interactive Global Illumination for Augmented Reality in Dynamic Environment In 2019 SoutheastCon IEEE, IEEE Press, 1–8 https://doiorg/101109/SoutheastCon4231120199020588
- Aaeshah Alhakamy and Mihran Tuceryan 2019 AR360: Dynamic Illumination for Augmented Reality with Real-Time Interaction In 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) 170–174 https://doiorg/101109/INFOCT20198710982
- Abeer Alsaiari, Ridhi Rustagi, Aaeshah Alhakamy, Manu Mathew Thomas, Angus G Forbes, et al 2019 Image Denoising Using A Generative Adversarial Network In 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) IEEE, 126–132 https://doiorg/101109/INFOCT20198710893
- Aaeshah Alhakamy, Milka Trajkova, and Francesco Cafaro 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 iDesigning Interactive Systems Conference 2021/i (iDIS 21/i) Association for Computing Machinery, New York, NY, USA, 564–575 DOI:https://doiorg/101145/34617783462083
- For more of my research go to my google scholar page and type (A\aeshah Alhakamy)
- وللمزيد من الابحاث والمؤلفات الرجاء زيارة صفحتي على Google Scholar بكتابة اسمي بهذه الصيغة A\aeshah Alhakamy
اسم المشروع | وصف المشروع |
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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) |
- Honor Degree, Graduating with honor degree, BSc in Computer Science from Taibah University - 2005
- Scholarship, Full Scholarship from the University of Tabuk and the Saudi Arabian Cultural Mission (SACM) - 2013
- Master with high GPA Award, Graduating a Master’s degree with a high GPA from the Saudi Arabian Cultural Mission (SACM) - 2016
- Outstanding Scientific Research Award, Saudi Arabian Cultural Mission (SACM) - 2019
- 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 - 2018
- Travel Award, Attend CHI conference from Dr Cafaro, NSF, and IUPUI Data Lab full support - 2020
- Outstanding Scientific Research Award, Web of Science Q1 Journal, Deanship of Scientific Research, University of Tabuk - 2021
- President’s Award for Outstanding Scientific Research Award, in research and innovation for scientific and engineering track, University of Tabuk - 2022
- [Aug 2022-Aug 2023] Grant | New Faculty Research Funding, Deanship of Scientific Research, University of Tabuk, Title: Extended Reality (XR) Making Immersive Technologies in Training and Repair: The Key to Unlocking Industry 40, PI: A’aeshah Alhakamy, Grant Number: S-1443-0002
- Incentive Reward for Distinguished Researchers, published with graduate students in Web of Science classified journal, Deanship of Scientific Research, University of Tabuk - 2023
- Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk For manuscript https://doi org/103390/su15020911 - 2023
- Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk For manuscript https://doi org/103390/s23136024 - 2024
- Outstanding Scientific Research Award, Web of Science Journal, Deanship of Scientific Research, University of Tabuk For manuscript https://doi org/101007/s11042-023-17598-7 - 2024
- Outstanding Faculty Member Award, in Student Activities, Deanship of Student Affairs, 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