Dr . Amal Al-Rasheed| Computer | Best Researcher Award

Dr. Amal Al-Rasheed,Princess Nourah bint Abdulrahman University, Saudi Arabia

Dr. Amal Al-Rasheed is a distinguished academic at Princess Nourah bint Abdulrahman University in Saudi Arabia. With a profound expertise in [specific field or research area, if known], Dr. Al-Rasheed has made significant contributions to [mention any notable research, publications, or achievements]. Her commitment to advancing knowledge and fostering academic excellence is evident through her extensive research and teaching endeavors. Dr. Al-Rasheed is dedicated to promoting [relevant academic or professional focus], and her work continues to inspire and impact the academic community.

Summary:

Dr. Amal Abdulaziz Al-Rasheed is a highly accomplished academic with a strong track record in teaching, research, and leadership. Her extensive experience in academia, coupled with her recognized research excellence and significant contributions to the academic community, make her a strong candidate for the Best Researcher Award. Her professional engagements and service activities further illustrate her dedication to her field and institution.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Amal Abdulaziz Al-Rasheed earned her PhD in Information Systems from King Saud University in 2017. This academic achievement marked the culmination of her deep engagement with the field, laying a strong foundation for her subsequent career in academia and research.

🏢 Experience:

Dr. Al-Rasheed has amassed extensive experience at Princess Nourah bint Abdulrahman University, where she currently serves as an Associate Professor. Her academic career began as a Teaching Assistant in 1998, followed by roles as a Lecturer from 2007 to 2017, and then as an Assistant Professor from 2017 to 2022. Beyond her academic roles, Dr. Al-Rasheed has also held significant leadership positions, including Director of the Master Program in Data Analytics (2018-2019) and Vice Dean of Postgraduate Studies and Scientific Research (2017-2018). Her non-academic contributions include technical support roles earlier in her career, adding a practical dimension to her professional profile.

🛠️Skills:

Dr. Al-Rasheed possesses a broad skill set encompassing both academic and administrative competencies. Her expertise in information systems is complemented by her leadership in higher education, where she has led committees and advised deans on strategic initiatives. Her skills are further enriched by her involvement in quality assurance, accreditation, human resources, and curriculum development, particularly in the fields of cybersecurity and data analytics.

🔬Awards:

Dr. Al-Rasheed’s contributions to academia have been recognized through several honors, most notably the Princess Nourah Bint Abdul Rahman University Award for Research Excellence in 2017. This award underscores her commitment to advancing research in her field and her role in shaping the academic landscape at her institution.

Research Focus:

Dr. Al-Rasheed’s research interests lie at the intersection of information systems, machine learning, and healthcare technology. Her work is characterized by a focus on practical applications, such as enhancing software defect prediction, optimizing data services, and developing models for emotion recognition. Her recent publications reflect a strong emphasis on cutting-edge techniques like deep learning, transfer learning, and game theory, applied to diverse challenges including cancer detection, fetal organ classification, and IoT-edge task scheduling.

Conclusion:

Dr. Al-Rasheed is a suitable candidate for the Best Researcher Award, given her comprehensive academic background, leadership roles, and research achievements. While her international exposure and interdisciplinary work could be areas to develop further, her existing contributions are substantial and impactful. Her candidacy stands out due to her dedication to both research and academic service, positioning her as a deserving nominee for this prestigious recognition.

Publications :

Hybridization of metaheuristic algorithm for dynamic cluster-based routing protocol in wireless sensor Networks
- Authors: S Al-Otaibi, A Al-Rasheed, RF Mansour, E Yang, GP Joshi, W Cho
- Source: IEEE Access
- Year: 2021
- Citation Count: 79

Hybrid classifier-based federated learning in health service providers for cardiovascular disease prediction
- Authors: MM Yaqoob, M Nazir, MA Khan, S Qureshi, A Al-Rasheed
- Source: Applied Sciences
- Year: 2023
- Citation Count: 36

Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images
- Authors: AA Rafique, A Al-Rasheed, A Ksibi, M Ayadi, A Jalal, K Alnowaiser, et al.
- Source: IEEE Access
- Year: 2023
- Citation Count: 30

An Optimal Big Data Analytics with Concept Drift Detection on High-Dimensional Streaming Data
- Authors: RF Mansour, S Al-Otaibi, A Al-Rasheed, H Aljuaid, IV Pustokhina, et al.
- Source: Computers, Materials & Continua
- Year: 2021
- Citation Count: 27

Predicting Saudi stock market index by incorporating GDELT using multivariate time series modelling
- Authors: R Alamro, A McCarren, A Al-Rasheed
- Source: Advances in Data Science, Cyber Security and IT Applications: First
- Year: 2019
- Citation Count: 24

Reliable resource allocation and management for IoT transportation using fog computing
- Authors: HU Atiq, Z Ahmad, SK Uz Zaman, MA Khan, AA Shaikh, A Al-Rasheed
- Source: Electronics
- Year: 2023
- Citation Count: 22

The Challenges Faced by Undergraduate Women during the COVID‐19 Pandemic in Saudi Arabia
- Authors: A Al-Rasheed
- Source: Education Research International
- Year: 2021
- Citation Count: 22

Effective reuse and sharing of best teaching practices
- Authors: A Al‐Rasheed, J Berri
- Source: Computer Applications in Engineering Education
- Year: 2017
- Citation Count: 19

SEMRAchain: A secure electronic medical record based on blockchain technology
- Authors: H Mhamdi, M Ayadi, A Ksibi, A Al-Rasheed, BO Soufiene, S Hedi
- Source: Electronics
- Year: 2022
- Citation Count: 17

Identification of important features and data mining classification techniques in predicting employee absenteeism at work
- Authors: A Al-Rasheed
- Source: International Journal of Electrical & Computer Engineering (2088-8708)
- Year: 2021
- Citation Count: 17

Knowledge management of best practices in a collaborative environment
- Authors: A Al-Rasheed, J Berri
- Source: International Journal of Advanced Computer Science and Applications
- Year: 2016
- Citation Count: 16

Amal Al-Rasheed| Computer | Best Researcher Award