Ms. Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

Master’s candidate at King Abdulaziz University, Saudi Arabia

Rahaf AlSuhaimi is a highly motivated researcher specializing in data analysis, data science, and computational modeling with a focus on machine and deep learning applications. Currently a Master’s candidate at King Abdulaziz University, Rahaf has worked on several innovative projects, including using explainable AI for sentiment analysis, evaluating the decision factors for solar energy adoption in Saudi Arabia, and developing strategies for open-source adoption. Her strong technical background includes data visualization, model development, and extensive research experience. Her publications and a “Best Paper Award” showcase her commitment to advancing data science and technology.

professional profile

ORCID

Education

Rahaf AlSuhaimi is currently pursuing a Master’s degree in Computer Information Systems at King Abdulaziz University (2021-present). Her studies focus on utilizing data science methodologies to explore various areas, including sentiment analysis, energy policy, and AI-driven user behavior analysis. During her program, she built advanced models like GRU-LSTM with Explainable AI to identify learner confusion on online forums, developed a BERT model for sentiment classification, and investigated factors influencing solar energy adoption in Saudi Arabia. Rahaf also has a Bachelor’s degree in Information Systems from Taibah University (2016-2020), where she developed foundational skills in data science and computational modeling. Through her education, she has built a solid foundation in machine learning, data manipulation, and visualization, which she applies in her ongoing research work.

work Experience

Rahaf AlSuhaimi has a diverse portfolio of experiences in data science and research. Currently, she serves as a Data Management Officer at Salama Cooperative Insurance (2024-present), where she manages and analyzes data to enhance decision-making processes. Previously, she worked on a one-year research project with the Prince Naif Chair and King Abdulaziz University as an ML/DL Researcher (2023-2024). In this role, she collected and preprocessed data, developed Python-based feature extraction methods, and built machine and deep learning models, contributing to a research paper. Rahaf also engaged in voluntary work at the Deanship of Graduate Studies at King Abdulaziz University, where she assisted in developing a user interface for the deanship site. Her experience includes an internship at Taibah University’s IT Deanship, further strengthening her skills in data management and visualization.

Research Focus

Rahaf AlSuhaimi’s research focuses on using data science and machine learning to solve real-world problems in various domains, including education, sustainability, and public sector technology. Her work involves building explainable AI models like GRU-LSTM to identify patterns of confusion in online learning environments, developing sentiment analysis models using BERT for classifying online reviews, and exploring the factors influencing solar energy adoption in Saudi Arabia. Rahaf is also interested in open-source technology strategies, having conducted surveys and analyzed data to improve adaptation methods in the government sector. Her research is characterized by a commitment to innovation, with applications in environmental sustainability and public service improvement, contributing valuable insights to academia and society.

Awards and honors

Rahaf AlSuhaimi has been recognized for her contributions to data science and research, notably receiving the Best Paper Award at the 6th International Conference on Recent Innovations in Computing and Technology (IRICT) in 2021. This award celebrated her paper’s impact and rigor, underscoring her ability to address complex data challenges with innovative approaches. Rahaf’s academic excellence and commitment to research have earned her acknowledgment within the academic community, encouraging her to continue exploring new dimensions in data science and machine learning. Her achievements reflect a blend of technical skill and dedication, marking her as a rising talent in data-driven research and setting a strong foundation for future accomplishments.

Conclusion

Rahaf AlSuhaimi is a promising candidate for the Best Researcher Award, thanks to her strong technical skills, commendable research output, and innovative projects. Her work demonstrates both practical impact and scholarly contribution, with recognition for her research quality. Enhancing her publication reach and fostering interdisciplinary collaborations could further solidify her standing in the research community. Overall, Rahaf’s accomplishments and proactive approach make her a worthy contender for this award.

Publications to Noted

Identifying Learners’ Confusion in a MOOC Forum Across Domains Using Explainable Deep Transfer Learning

Authors: Rahaf AlSuhaimi

Year: 2024

Citation Count: Not available (recently published)

DOI: 10.3390/info15110681

DEVELOPMENT OF A DECISION-SUPPORT FRAMEWORK OF FACTORS AFFECTING SOLAR SYSTEM INSTALLATION IN SAUDI ARABIA

Authors: Rahaf AlSuhaimi

Year: 2023

Citation Count: Not available

Automatic Saudi Arabian License Plate Detection and Recognition Using Deep Convolutional Neural Networks

Authors: Rahaf AlSuhaimi

Year: 2022

Citation Count: Not available

DOI: 10.1007/978-3-030-98741-1

Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

Ms. Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

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