Dr. Rabab Rabab - Sustainability - Women Researcher Award
Qatar University | Qatar
Author Profile
Early Academic Pursuits
Her academic journey began with a passion for Computer Science, which she pursued with dedication and excellence. Graduating with distinction from Al Zaytoona University in Jordan, Rabab embarked on a path of continuous learning and research, furthering her education with a Master's degree from Al Balqaa Applied University and eventually achieving a PhD from Universiti Teknologi Malaysia. Her academic pursuits were driven by a keen interest in areas such as Recommender Systems, E-Commerce, Human-Computer Interaction, User-Centric Evaluation, and User Behaviour Analysis.
Professional Endeavors
Transitioning seamlessly from academia to professional roles, she has made significant contributions as both a lecturer and a post-doctoral researcher. Her teaching tenure at Imam Abdulrahman Bin Faisal University in Saudi Arabia spanned over a decade, during which she imparted knowledge across various domains of Computer Science. As a post-doctoral researcher at Qatar University, she played a pivotal role in projects aimed at addressing gender equality and social inclusion issues within the realm of social media platforms. Her research endeavors have been marked by a commitment to excellence and a drive to make a tangible difference in society.
Contributions and Research Focus in Sustainability
Her research focus reflects her interdisciplinary approach towards addressing contemporary challenges. From developing innovative solutions in Recommender Systems to exploring the intricate dynamics of human-computer interaction, her work stands at the intersection of technology and society. Through her studies on customers' loyalty models in the design of e-commerce recommender systems and her investigation into digital nudging techniques for promoting gender equality and social inclusion online, she has demonstrated a deep understanding of the complex issues shaping our digital landscape.
Accolades and Recognition
Her contributions to the field of Computer Science have garnered widespread recognition, as evidenced by her extensive publication record and impressive citation metrics. With a Google Scholar H-index of 19 and over 1400 citations to her name, her research has made a significant impact within academic circles. Her expertise has also been recognized through invitations to serve on journal editorial boards, where she continues to contribute towards advancing knowledge in her field.
Impact and Influence
Beyond academia, her research has the potential to drive real-world change by informing policy decisions and shaping technological innovations. By delving into topics such as sustainable resource management, Parkinson's disease diagnosis using deep learning, and the impact of multi-criteria ratings on online recommendation systems,her work transcends disciplinary boundaries to address pressing societal issues. Her interdisciplinary approach and collaborative spirit underscore her commitment to creating meaningful impact through research.
Legacy and Future Contributions
As she continues her academic and professional journey, her legacy is defined not only by her individual achievements but also by the lasting impact of her research on society. With a vision for a more inclusive and sustainable future, Rabab remains dedicated to pushing the boundaries of knowledge and fostering positive change. Through her continued contributions to academia, research, and advocacy, she is poised to leave a lasting imprint on the field of Computer Science and beyond.
Citations
Citations 1480
h-index 19
i10-index 31
Notable Publications
- A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features
- Cause-effect relationships among factors impacting customers’ satisfaction with zero-waste products: a text mining and multi-criteria decision-making approach
- Unlocking sustainable resource management: A comprehensive SWOT and thematic analysis of FinTech with a focus on mineral management
- Parkinson’s Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review