A'aeshah Alhakamy
Assistant Professor at University of Tabuk
Assistant Professor
A'aeshah Alhakamy is an assistant professor of Computers and Information Technology and Deputy Director of Industrial Innovation and Robotics Center at the University of Tabuk, Saudi Arabia, where she was awarded a full scholarship to pursue higher education abroad in Computer Graphics, Visualization, and Imaging. 

On Sep 1st, 2020, she successfully defended her dissertation and got certified by the faculty for a Ph.D. degree in Computer Science from Purdue University in Indianapolis under the supervision of Professor Mihran Tuceryan. She holds M.Sc. (2016) in Computer and Information Science from the Purdue School of Science, Purdue University Indianapolis, IN, the USA.  She got her B.Sc. (2005) in Computer Science from the Taibah University, Medina, Saudi Arabia. 

In addition, She worked as Teaching Assistant at the Department of Computer and Information Science in fall 2017. She worked as Graduate Research Assistant at the School of Informatics and Computing in the 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". 

Her primary research interests include Computer Graphics, Computer Vision, Visualization, and Imaging, particularly Illumination Models in Mixed and Augmented Reality Applications; Interaction between the Virtual and Real Objects, Worlds; Gesture Interaction with Data Visualization.
University of Tabuk
https://sa.linkedin.com/company/university-of-tabuk
Tabuk, Saudi Arabia
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Assistant Professor
University of Tabuk
https://sa.linkedin.com/company/university-of-tabuk
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Lecturer (Not Formally)
University of Tabuk
https://sa.linkedin.com/company/university-of-tabuk
•	Taught Introduction to Computer, Data Structure and Algorithm, Computer Ethics, Computer Programming with C# (lab), Programming Language with C++ (lab), Operating System, and Theory of Computation (just assistance)
•	Explained concepts in small group setting; graded assignments and examinations
•	Held office hours for individual student discussion
•	Designed brochures and posters for computers and Information Technology College
•	Served as a member of Quality Committee 
•	Worked as a minor Academic Adviser

Currently pursuing graduate studies.
Tabuk
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Teaching Assistant
Industrial Innovation and Robotics Center (IIRC)
https://sa.linkedin.com/company/iirc
Tabuk, Saudi Arabia
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Deputy Director
Indiana University–Purdue University Indianapolis
https://sa.linkedin.com/company/indiana-university%E2%80%93purdue-university-indianapolis
• Conduct research with Human-Computer Interaction Group under the supervision of Professor Francesco Cafaro at IUPUI Data Lab with NSF funded project named "Aiding Reasoning about Correlation and Causation"
• Develop a Human-Data Interaction system using gestures and body movements, Gamepad [Joystick] or Tangible objects.

http://data.soic.iupui.edu/people.html
United States
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Graduate Research Assistant
School of Science at IUPUI
https://sa.linkedin.com/company/school-of-science-at-iupui
Computer and Information Science Department
Indianapolis, Indiana
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Graduate Teaching Assistant
Twelve High School
•	Taught courses in Basic Computer Skills and assessed student work
•	Coordinated morning high school student broadcasts
•	Provided remedial courses in Visual Basic
Tabuk
Teacher
Riadh Alsalhin High School
•	Taught courses in Basic Computer Skills and assessed student work.
•	Presented a Photoshop workshop.
Tabuk
Teacher
Modern Girl Institute for Computer and Languages
•	Taught Introduction to Computer Science, System Analysis and Design, speed typing, Microsoft Office (Word, Excel, Outlook, Access), Photoshop, Internet, Windows XP
•	Held a typing contest to encourage mastering of keyboarding skill
Tabuk
Instructor
Taibah Children's Village for Orphans Care
•	Performed difficult, varied and confidential administrative duties including conference, meeting, travel planning
•	Prepared letters, report forms, brochures and cards for administrators and staff
•	Organized events both internally and externally
•	Provided customer service and organizational skills
Medina
Secretary
Taibah Institute for Computer and Technology
•	Taught Operating System Networks, Data Structure, System Analysis and Design, Programing with C++, Java, HTML, Microsoft Office (Word, FrontPage, Access), Photoshop, Principles of Management and Marketing, Teaching Methods.
•	Taught basic computer skills to elderly women residents.
Medina
Instructor
Doctor of Philosophy (PhD)
Major in Computer & Information Science, Purdue School of Science. 
Dissertation Title: Extraction and Integration of Physical Illumination in Dynamic Augmented Reality Environments. Expertise: Computer Graphics, Visualization, and Imaging. 
Relevant Coursework: Design and Analysis of Algorithms, Image Processing and Computer Vision, Compiling and Programming Systems, Advanced Graphics and Data Visualization, Computer Graphics, Compiling and Programming Systems.
Computer Science
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Purdue University
https://sa.linkedin.com/school/purdue-university/
Master's degree
Major in Computer & Information Science, Purdue School of Science. 
Relevant Coursework: Image Processing and Computer Vision, Advanced Graphics and Data Visualization, Computer Graphics, Data Mining, Concepts in Computer Organization, Database Systems, Cryptography, Programming Languages, Advanced Mobility and Cloud Computing, Trustworthy Computing.
Computer Science
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Purdue University
https://sa.linkedin.com/school/purdue-university/
Bachelor's degree
Major in Computer Science, School of Computer Science & Engineering 
Thesis Title: E-Learning database & website services for Taibah University. 
Relevant Coursework: Discrete Mathematics, Numerical Computation, Computer Graphics, Artificial Intelligence, Theory of Computation.
Computer Science
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Taibah University
https://sa.linkedin.com/school/taibah-university/
English degree
English Language Program
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University of Pennsylvania
https://sa.linkedin.com/school/university-of-pennsylvania/
Association for Computing Machinery (ACM)
Member
Institute of Electrical and Electronics Engineers (IEEE) Computer Society
Member
Findings from embodied cognition suggest that our whole body (not just our eyes) plays an important role in how we make sense of data when we interact with data visualizations. In this paper, we present the results of a study that explores how different designs of the ”interaction” (with a data visualization) alter the way in which people report and discuss correlation and causation in data. We conducted a lab study with two experimental conditions: Full body (participants interacted with a 65” display showing geo-referenced data using gestures and body movements); and, Gamepad (people used a joypad to control the system). Participants tended to agree less with statements that portray correlation and causation in data after using the Gamepad system. Additionally, discourse analysis based on Conceptual Metaphor Theory revealed that users made fewer remarks based on FORCE schemata in Gamepad than in Full-Body.
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
ACM DIS '21: Designing Interactive Systems Conference 2021
https://doi.org/10.1145/3461778.3462083
Ph.D. Dissertation in Computer Science
Extraction and Integration of Physical Illumination in Dynamic Augmented Reality Environments
Purdue University Graduate School
https://doi.org/10.25394/PGS.12950315.v1
Social networking sites such as Twitter have been a popular choice for people to express their opinions, report real-life events, and provide a perspective on what is happening around the world. In the outbreak of the COVID-19 pandemic, people have used Twitter to spontaneously share data visualizations from news outlets and government agencies and to post casual data visualizations that they individually crafted. We conducted a Twitter crawl of 5409 visualizations (from the period between 14 April 2020 and 9 May 2020) to capture what people are posting. Our study explores what people are posting, what they retweet the most, and the challenges that may arise when interpreting COVID-19 data visualization on Twitter. Our findings show that multiple factors, such as the source of the data, who created the chart (individual vs. organization), the type of visualization, and the variables on the chart influence the retweet count of the original post. We identify and discuss five challenges that arise when interpreting these casual data visualizations, and discuss recommendations that should be considered by Twitter users while designing COVID-19 data visualizations to facilitate data interpretation and to avoid the spread of misconceptions and confusion.
Exploring Casual COVID-19 Data Visualizations on Twitter: Topics and Challenges
MDPI Informatics 2020
https://doi.org/10.3390/informatics7030035
The integration of virtual objects to appear as part of the real world is the base of photo-realistic augmented reality (AR) scene development. The physical illumination information, environment features, and virtual objects shading materials combined are considered to reach a perceptually coherent final scene. Other research investigated the problem while assuming availability of scene geometry beforehand, pre-computation of light location, or offline execution. In this paper, we incorporated our previous work of direct light detection with real scene understanding features to provide occlusion, plane detection, and scene reconstruction for improved photo-realism. The whole system tackles several problems at once which consists of: (1) physics-based light polarization, (2) location of incident lights detection, (3) reflected lights simulation, (4) shading materials definition, (5) real-world geometric understanding. A validation of the system is performed by evaluating the geometric reconstruction accuracy, direct illumination pose, performance cost, and human perception.
Physical Environment Reconstruction beyond Light Polarization for Coherent Augmented Reality Scene on Mobile Devices
Transactions on Computational Science XXXVII. Lecture Notes in Computer Science, vol 12230. Springer, Berlin, Heidelberg
https://doi.org/10.1007/978-3-662-61983-4_2
A realistically inserted virtual object in the real-time physical environment is a desirable feature in augmented reality (AR) applications and mixed reality (MR) in general. This problem is considered a vital research area in computer graphics, a field that is experiencing ongoing discovery. The algorithms and methods used to obtain dynamic and real-time illumination measurement, estimating, and rendering of augmented reality scenes are utilized in many applications to achieve a realistic perception by humans. We cannot deny the powerful impact of the continuous development of computer vision and machine learning techniques accompanied by the original computer graphics and image processing methods to provide a significant range of novel AR/MR techniques. These techniques include methods for light source acquisition through image-based lighting or sampling, registering and estimating the lighting conditions, and composition of global illumination. In this review, we discussed the pipeline stages with the  details elaborated about the methods and techniques which contributed to the development of providing a photo-realistic rendering, visual coherence, and interactive real-time illumination results in AR/MR.
Real-Time Illumination and Visual Coherence for Photorealistic Augmented/Mixed Reality
ACM Computing Surveys (CSUR ’20)
https://dl.acm.org/doi/abs/10.1145/3386496
Museums have embraced embodied interaction: its novelty generates buzz and excitement among their patrons, and it has enormous educational potential. Human-Data Interaction (HDI) is a class of embodied interactions that enables people to explore large sets of data using interactive visualizations that users control with gestures and body movements. In museums, however, HDI installations have no utility if visitors do not engage with them. In this paper, we present a quasi-experimental study that investigates how different ways of representing the user ("mode type") next-to a data visualization alters the way in which people engage with a HDI system. We consider four mode types: avatar, skeleton, camera overlay, and control. Our findings indicate that the mode type impacts the number of visitors that interact with the installation, the gestures that people do, and the amount of time that visitors spend observing the data on display and interacting with the system.
Move Your Body: Engaging Museum Visitors with Human-Data Interaction
The 2020 ACM CHI Conference on Human Factors in Computing Systems (CHI ’20)
https://dl.acm.org/doi/abs/10.1145/3313831.3376186
Museums have embraced embodied interaction: its novelty generates buzz and excitement among their patrons, and it has enormous educational potential. Human-Data Interaction (HDI) is a class of embodied interactions that enables people to explore large sets of data using interactive visualizations that users control with gestures and body movements. In museums, however, HDI installations have no utility if visitors do not engage with them. In this paper, we present a quasi-experimental study that investigates how different ways of representing the user ("mode type") next-to a data visualization alters the way in which people engage with an HDI system. We consider four mode types: avatar, skeleton, camera overlay, and control. Our findings indicate that the mode type impacts the number of visitors that interact with the installation, the gestures that people do, and the amount of time that visitors spend observing the data on display and interacting with the system.
Design Strategies and Optimizations for Human-Data Interaction Systems in Museums
In Proceedings of the 2020 International Conference on Advanced Learning Technologies (ICALT '20),
https://doi.org/10.1109/ICALT49669.2020.00081
Augmented, Virtual, and Mixed Reality (AR/VR/MR) systems have been developed in general, with many of these applications having accomplished significant results, rendering a virtual object in the appropriate illumination model of the real environment is still under investigation. The entertainment industry has presented an astounding outcome in several media form, albeit the rendering process has mostly been done offline. The physical scene contains the illumination information which can be sampled and then used to render the virtual objects in real-time for realistic scene. In this paper, we evaluate the accuracy of our previous and current developed systems that provide real-time dynamic illumination for coherent interactive augmented reality based on the virtual object’s appearance in association with the real world and related criteria. The system achieves that through three simultaneous aspects. (1) The first is to estimate the incident light angle in the real environment using a live-feed   360∘  camera instrumented on an AR device. (2) The second is to simulate the reflected light using two routes: (a) global cube map construction and (b) local sampling. (3) The third is to define the shading properties for the virtual object to depict the correct lighting assets and suitable shadowing imitation. Finally, the performance efficiency is examined in both routes of the system to reduce the general cost. Also, The results are evaluated through shadow observation and user study.
An Empirical Evaluation of the Performance of Real-Time Illumination Approaches: Realistic Scenes in Augmented Reality
Springer AVR’19 Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2019. Lecture Notes in Computer Science, vol 11614. Springer, Cham
https://doi.org/10.1007/978-3-030-25999-0_16
A virtual object that is integrated into the real world in a perceptually coherent manner using the physical illumination information in the current environment is still under development. Several researchers investigated the problem producing a high-quality result; however, pre-computation and offline availability of resources were the essential assumption upon which the system relied. In this paper, we propose a novel and robust approach to identifying the incident light in the scene using the polarization properties of the light wave and using this information to produce a visually coherent augmented reality within a dynamic environment. This approach is part of a complete system which has three simultaneous components that run in real-time: (i) the detection of the incident light angle, (ii) the estimation of the reflected light, and (iii) the creation of the shading properties which are required to provide any virtual object with the detected lighting, reflected shadows, and adequate materials. Finally, the system performance is analyzed where our approach has reduced the overall computational cost.
Polarization-Based Illumination Detection for Coherent Augmented Reality Scene Rendering in Dynamic Environments
ACM/Springer Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science, vol 11542. Springer, Cham
https://doi.org/10.1007/978-3-030-22514-8_1
Interactive installations that are controlled with gestures and body movements have been widely used in museums due to their tremendous educational potential. The design of such systems, however, remains problematic. In this paper, we reflect on two open research challenges that we observed when crafting a Kinect-based prototype installation for data exploration at a science museum: (1) making the user aware that the system is interactive; and, (2) increasing the discoverability of hand gestures and body movements.
Designing Embodied Interactions for Informal Learning: Two Open Research Challenges
The 8th ACM International Symposium on Pervasive Displays (PerDis'19)
https://doi.org/10.1145/3321335.3329688
Current augmented and mixed reality systems suffer a lack of correct illumination modeling where the virtual objects render the same lighting condition as the real environment. While we are experiencing astonishing results from the entertainment industry in multiple media forms, the procedure is mostly accomplished offline. The illumination information extracted from the physical scene is used to interactively render the virtual objects which results in a more realistic output in real-time. In this paper, we present a method that detects the physical illumination with dynamic scene, then uses the extracted illumination to render the virtual objects added to the scene. The method has three steps that are assumed to be working concurrently in real-time. The first is the estimation of the direct illumination (incident light) from the physical scene using computer vision techniques through a 360° live-feed camera connected to AR device. The second is the simulation of indirect illumination (reflected light) from the real-world surfaces to virtual objects rendering using region capture of 2D texture from the AR camera view. The third is defining the virtual objects with proper lighting and shadowing characteristics using shader language through multiple passes. Finally, we tested our work with multiple lighting conditions to evaluate the accuracy of results based on the shadow falling from the virtual objects which should be consistent with the shadow falling from the real objects with a reduced performance cost.
AR360: Dynamic Illumination for Augmented Reality with Real-Time Interaction
The 2nd IEEE International Conference on Information and Computer Technologies (ICICT'19)
https://doi.org/10.1109/INFOCT.2019.8710982
Animation studios render 3D scenes using a technique called path tracing which enables them to create high quality photorealistic frames. Path tracing involves shooting 1000's of rays into a pixel randomly (Monte Carlo) which will then hit the objects in the scene and, based on the reflective property of the object, these rays reflect or refract or get absorbed. The colors returned by these rays are averaged to determine the color of the pixel. This process is repeated for all the pixels. Due to the computational complexity it might take 8-16 hours to render a single frame. We implemented a neural network-based solution to reduce the time it takes to render a frame to less than a second using a generative adversarial network (GAN), once the network is trained. The main idea behind this proposed method is to render the image using a much smaller number of samples per pixel than is normal for path tracing (e.g., 1, 4, or 8 samples instead of, say, 32,000 samples) and then pass the noisy, incompletely rendered image to our network, which is capable of generating a high-quality photorealistic image.
Image Denoising Using A Generative Adversarial Network
The 2nd IEEE International Conference on Information and Computer Technologies (ICICT'19)
https://doi.org/10.1109/INFOCT.2019.8710893
Most augmented/mixed reality (AR/MR) applications still have shortcomings when integrating virtual objects correctly in real scenes such that virtual objects are indistinguishable from reality. While the entertainment industry has accomplished incredible results in every known form of media, the main process is usually achieved offline. An interactive extraction of illumination information from the physical scene used to render virtual objects would provide a realistic outcome for AR/MR applications. In this paper, we present a system that captures the existing physical scene illumination, then apply it to the rendering of virtual objects added to a scene for augmented reality applications. The illumination model in the developed system addresses some components that work simultaneously at the run time. The main component estimates the direction of the incident light (direct illumination) of the real-world scene through a 360-degree live camera attached to AR devices using computer vision techniques. A complementary component simulates the reflected light (indirect illumination) from surfaces in the rendering of virtual objects using cube maps textures. Then, the shading materials of each virtual object are defined which provide the proper lighting and shadowing effects including the two previous components. In order to ensure that our system provides a valid result, we evaluate the error incurred between the real and the virtual illuminations produced in the final scene based on the shadow allocation which is emphasized while conducting a user study.
CubeMap360: Interactive Global Illumination for Augmented Reality in Dynamic Environment
2019 IEEE SoutheastCon
https://doi.org/10.1109/SoutheastCon42311.2019.9020588
excellence award for publishing a scientific research in a journal classified in web of science
University of Tabuk
Excellence award for publishing a scientific research
IUPUI Data Lab through Dr. Cafaro funded NSF project
Travel award to attend CHI conference
Saudi Arabian Cultural Mission (SACM).
Reward publication of scientific research
Saudi Arabian Cultural Mission (SACM).
Reward Financial Aid to attend two conferences in The USA/Canada
Saudi Arabian Cultural Mission (SACM)
Reward Financial Fund to attend a conference title [Introduction to Academic Leadership]
Saudi Arabian Cultural Mission (SACM).
Academic excellence
Saudi Arabian Cultural Mission (SACM).
Graduate a master degree with a high GPA
University of Tabuk and Saudi Arabian Cultural Mission (SACM)
Full scholarship to study abroad
Taibah University
Graduated with honor degree
Advanced Graphics & Visualization
CSCI 55200
Advanced Mobility & Cloud Computing
CSCI 59000
Algorithm Design Analysis & Implementation
CSCI 58000
Compiling & Programming Systems
CSCI 50200
Computer Graphics
CSCI 55000
Concepts in Computer Organization
CSCI 50400
Cryptography
CSCI 55500
Data Mining
CSCI 57300
Database Systems
CSCI 54100
Image processing & Computer vision
CSCI 55700
Programming Languages
CSCI 56500
Research PhD Thesis
CSCI 69900
Trustworthy Computing
CSCI 59000
Aiding Reasoning about Correlation and Causation using Human-Computer Interaction
https://data.soic.iupui.edu
Physical Illumination in Dynamic Augmented Reality Environments
https://www.cs.iupui.edu/~aalhakam/
Exploring Casual COVID-19 Data Visualizations
Purdue University
cecredential.iu.edu
21LQ-BQJZ-AEYV
Doctor of Philosophy
https://cecredential.iu.edu/validation/
https://sa.linkedin.com/in/tahani-alkhudaydi-77804296
تبوك, السعودية
Tahani Alkhudaydi
Assistant Professor at University of Tabuk
https://sa.linkedin.com/in/tareq-alhmiedat-b5a1b54a
السعودية
Tareq Alhmiedat
Associate Professor at University of Tabuk
https://sa.linkedin.com/in/dr-saleh-albelwi-a62b1b1a3
تبوك
Dr. Saleh Albelwi
Director of Industrial Innovation and Robotics Center.
https://sa.linkedin.com/in/amal-khojah-6a2890105
السعودية
Amal Khojah
Teaching Assistant at University of Tabuk , Finance And investment
https://sa.linkedin.com/in/iirc
تبوك, السعودية
Industrial Innovation and Robotics Center (IIRC)
مركز الابتكار الصناعي والروبوت في جامعة تبوك
https://sa.linkedin.com/in/mohammed-alwakeel-566688b6
السعودية
Mohammed Alwakeel
Professor @ computers & Info. Tech. College at University of Tabuk
https://sa.linkedin.com/in/sanamoh
السعودية
Sana Alhowaidi
Sr. Specialist IT Demand & Delivery at Mobily
https://sa.linkedin.com/in/amal-alshehrii
تبوك
Amal Alshehri
Computer science student
https://www.linkedin.com/in/rabahalzaidy
State College, PA
Rabah Al-Zaidy رابعة الزايدي
Assistant Professor at King Fahd University of Petroleum & Minerals
https://sa.linkedin.com/in/mousa-bokhamseen
الخبر
Mousa Bokhamseen
✔Sales Development ✔Opportunity Management ✔Negotiating ✔Data Analysis ✔Business Growth ✔Relationship Management ✔Marketing
https://sa.linkedin.com/in/roa-mohamed-b01050204
تبوك, السعودية
ROA Mohamed
Computer science student
https://sa.linkedin.com/in/mohammedaltarifi
المِنْطَقَة الشَّرْقِيَّة
Mohammed Altarifi
Contracts Specialist at McDermott International, Ltd
https://sa.linkedin.com/in/ahmed-bilal-8324b6182
رَأْس تَنُّورَة
Ahmed Bilal
Survey Supervisor at Asyad International Company Limited
https://sa.linkedin.com/in/jude-alatawi-01b6b91ba
تبوك
Jude Alatawi
Computer Science Student
https://sa.linkedin.com/in/sarah-alshareef-1a34ba142
الظهران
Sarah AlShareef
Inside Sales Representative at ATCO Group
https://sa.linkedin.com/in/hassan-al-jaffar-a41b30176
الدمام
Hassan Al Jaffar
Sales Engineer at ATCO Group
https://sa.linkedin.com/in/%D8%A3%D8%AB%D9%8A%D8%B1-%D8%A7%D9%84%D8%B4%D9%87%D8%B1%D9%8A-7577b321a
تبوك, السعودية
أثير الشهري
ابحث عن وظيفة
Francesco Cafaro
      
          



            
              
        
              
  

    
        A'aeshah is a dedicated research assistant who is not afraid of hard work. Her current work in my research lab shows at least two major indicators that she would excel in a career in Computer Science or Human-Computer Interaction. Specifically, her ability to: (1)  Contribute to Research Inquiries and Lead Implementation Work in Multi-Disciplinary Research Teams, (2) Lead User Studies and Foster Collaborations. A'aeshah has been a very attentive and reliable research assistant: she never skipped a meeting, and she always actively contributed to the discussion –including providing constructive feedback on the work of her fellow students. She works in an extremely multi-disciplinary setting, collaborating with fellow researchers from Human-Computer Interaction, Data Science, and Psychology. Part of the work that we do in my lab involves designing and implementing interactive installations that people can control with gestures and body movements. I am impressed with A'aeshah’s interpersonal skills, which she draws upon to interact with people during user studies, and to foster collaborations beyond the campus. A'aeshah can also greatly contribute to the diversity of traditional CS work environments, because of her experience doing computer science in a still male-dominated field, and because of her multi-disciplinary and multi-cultural work and background.  Rajeev Raje
      
          



            
              
        
              
  

    
        A'aeshah took my graduate course on programming languages. This course, due to its abstract and demanding nature, is perceived as a difficult one by students. She did well in the class. Her group project in that class was related to a study of various parallel programming paradigms.
تمت المشاركة من قبل A'aeshah Alhakamy
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I am so honored to be one of the future #technology ambassadors of the ministry of communication and information technology #mcit in Saudi Arabia to…
تمت المشاركة من قبل A'aeshah Alhakamy
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‏⁧‫#فيديو‬⁩ | الهيئة وجامعة تبوك ‬⁩توقعان اتفاقية لاعتماد (40) برنامجًا أكاديميًا للجامعة، وقياس مخرجات التعليم ومهارات الخريجين، وإجراء…
تم إبداء الإعجاب من قبل A'aeshah Alhakamy
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‏⁧‫#فيديو‬⁩ | الهيئة وجامعة تبوك ‬⁩توقعان اتفاقية لاعتماد (40) برنامجًا أكاديميًا للجامعة، وقياس مخرجات التعليم ومهارات الخريجين، وإجراء…