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Amal Al-Shargabi is a Senior Lecturer in Data Analytics and Artificial Intelligence at the Faculty of Computing, Engineering, and Media at ÃÛÌÒ´«Ãºmv, United Kingdom. She was formerly an Associate Professor at the College of Computer, Qassim University, Saudi Arabia. She received her PhD in Information Technology and Quantitative Sciences from Universiti Teknologi MARA (UiTM), Malaysia, where she also earned her Master’s degree in Computer Science, graduating with an award of excellence. 

She has taught undergraduate and graduate students and has supervised numerous postgraduate projects and dissertations. Her research interests include machine learning, empirical program comprehension, and empirical software engineering. She has been involved in multiple research grants aimed at serving the community by proposing smart artificial intelligence solutions. She has published and reviewed several articles in various indexed journals and conferences.

Institute of Artificial Intelligence (IAI)

The full list of publications can be found on my Google Scholar page: 

• Machine Learning for Real-World Problem Solving
• Artificial Intelligence and Generative AI
• Deep Learning Techniques and Applications

• Artificial Intelligence
• Business Intelligence
• Machine Learning
• Data Analytics
• Big Data
• Research Methods
• Software Engineering

• PhD in Information Technology and Quantitative Sciences
• Master's Degree in Computer Science
• Bachelor Degree in Computer Science

• Artificial Intelligence BSc (Hons)
• Business Data Analytics BSc (Hons)
• Business Information Systems BSc (Hons)
• BSc Applied Computing
• Digital and Technology Solutions Professional (DTSP) Degree Apprenticeship

• Invention, Innovation and Design Exhibition (IIDX’16) Award, 2016, Malaysia,
• Three Minute Thesis (3MT’16) Award, 2016, Malaysia.

Awards Received by My Students: 

Artificial Intelligence Challenge, 2nd Place, Ministry of Communication and Information Technology (MCIT), Saudi Arabia, 2022
Project: Smart Quran Recitation Mistakes Recognition and Detection Application Based on Speech Recognition
Student: Sarah Alrumiah 

Best 4-Minute Presentation Award, 3rd place, College of Computer, Qassim University, Saudi Arabia, 2022
Project: Avatar-Based Translator from Saudi Speech to Saudi Sign Language
Students: Ruba Eltanani, Kholoud Alwadia, Ghadah Altuwayjiri

Takaful Award, Saudi Arabia, 2020, 1st place
Project: Saudi Sign Language Recognition System
Students: Alaa H. Al-Obodi, Ameerh M. Al-Hanine, Khalda N. Al-Harbi, Maryam S. Al-Dawas

Takaful Award, Saudi Arabia, 2020, 3rd place
Project: Product Rating Based on Consumers’ Reviews
Students: Ruba Alnusyan, Ruba Almotairi, Sarah Almufadhi 

Takaful Poster Award, Saudi Arabia, 2019, 1st place
Project: Bitcoin Price Prediction Using AI Techniques
Students: Reem K. Alkhodhairi, Shahad R. Aljalhami, Norah K. Rusayni

Reviewer for several prominent academic publishers, including Elsevier and Springer, as well as professional organizations such as IEEE and ACM.

Monitoring Critical Health Conditions in Elderly Individuals through Abnormal Vital Sign Smart Detection to Strengthen Early Warning and Health Risk Management Capacity Using Internet of Things

2023 to present
GRANT_NUMBER: 2023-SDG-l-8SRC36393
Qassim University, Saudi Arabia

The Educational Impact and Ethical Consideration of Chatbots in Academia: ChatGPT and BARD as Case Studies
2023 to present
GRANT_NUMBER: 2023-SDG-l-8SRC36790
Qassim University, Saudi Arabia

Recognizing Geographical Locations using the Text-To-Image Method Based on the GAN Model
2023 to present
GRANT_NUMBER: 2023-SDG-1-BSRC36794
Qassim University, Saudi Arabia

Deep Learning for Sensible Cooling and Heating Loads Associated with Solar Panels of Residential Buildings in Arid Climate
2023 to present
GRANT_NUMBER: 2023-SDG-1-BSRC36791
Qassim University, Saudi Arabia

A Deep Learning Video Captioning Model for Enhanced Video Retrieval
2022-09 to 2024-03 | Closed
GRANT_NUMBER: COC-2022-1-2-J-30388
Qassim University, Saudi Arabia

Iris Presentation Attack Detection Model Based on Visible Spectrum Images Using Deep Learning Techniques
2022-09 to 2024-03 | Closed
GRANT_NUMBER: COC-2022-1-2-J-30393
Qassim University, Saudi Arabia

A Smart Model to Detect Quranic Recitation Mistakes Using Deep Neural Networks
2022-09 to 2023-09 | Closed
GRANT_NUMBER: COC-2022-1-2-J-30493
Qassim University, Saudi Arabia

Introduce Predictive Models and Remedial Measures to Reduce Noise Pollution in Public Parks in Buraydah City
2020-11 to 2022-11 | Closed
GRANT_NUMBER: 10217-acdl-2020-1-3-I
Qassim University, Saudi Arabia

An Intelligent Diagnosis System of COVID-19 Using Medical Imaging Datasets and Deep Neural Networks
2020 to 2021 | Closed
GRANT_NUMBER: COC-2020-1-1-L-10051
Qassim University, Saudi Arabia

The Effect of COVID-19 Pandemic on Saudi Twitter Users’ Behavior Using Social Network Analysis and Visualization Approach
2020 to 2021 | Closed
GRANT_NUMBER: COC-2020-1-1-L-10058
Qassim University, Saudi Arabia

Energy Prediction of Residential Buildings in Qassim Region Using Machine Learning
2019-10 to 2021-10 | Closed
GRANT_NUMBER: COC-2019-2-2-I-5422
Qassim University, Saudi Arabia

Maps-Based Job Recommendation System for Saudi Job Seekers
2018-10 to 2019-10 | Closed
GRANT_NUMBER: COC_2018_1_14_S_5143
Qassim University, Saudi Arabia