Mrs. Wadha-Al Khater-Malware Detection-Best Researcher Award
Qatar University-Qatar
Author Profile
Early Academic Pursuits
Mrs. Wadha Abdullah A Al Khater, a distinguished Qatari scholar, embarked on her academic journey with a strong foundation in Computer Science. Her early educational milestones include obtaining a Bachelor's Degree in Computer Science with honors and an outstanding percentage of 94.344% from the College of Education for Girls at Jubail City, King Faisal University, in July 2006. This exceptional achievement laid the groundwork for her subsequent academic pursuits.
She continued her educational ascent by earning a Master's Degree in Computer Science with a notable grade of 4.62 from King Saud University in February 2014. Building on her solid background, Wadha is currently pursuing a Ph.D. in Cyber Security at Qatar University, with an expected completion date of January 29, 2024.
Professional Endeavors
Mrs. Wadha's commitment to advancing knowledge in the field of Cyber Security is evident in her ongoing Ph.D. research. Her dissertation, titled "Test-bed Evaluation of RSSI and Power Control Localization Schemes in RFID Systems," explores the challenges of localizing objects using Radio Frequency Identification (RFID) technology. The research delves into the effectiveness of localization schemes, specifically focusing on Received Signal Strength Indicator (RSSI) and power control from the reader side. Through meticulous experimentation and analysis, Wadha's work contributes valuable insights to the evolving landscape of RFID systems.
Her academic career includes roles as a Lecturer at the College of the North Atlantic - Qatar (CCQ), where she has been imparting her knowledge and expertise in computer science. Wadha's engagement as a Graduate Assistantship at Qatar University and previous roles as a Lecturer and Teaching Assistant at the University of Dammam reflect her commitment to both teaching and learning.
Contributions and Research Focus On Malware Detection
Mrs. Wadha's research contributions extend beyond her dissertation. Her published academic research showcases her expertise in RFID technology and cybersecurity. Noteworthy publications include works on RFID localization methods, cybersecurity issues in implanted medical devices, and a comprehensive review of cybercrime detection techniques. Wadha's exploration of deep learning models and malware detection techniques attests to her commitment to cutting-edge research in cybersecurity.
Accolades and Recognition
Mrs. Wadha Al Khater's academic excellence has earned her numerous accolades and awards, including the prestigious First Class Honor in the B.Sc. Program at King Faisal University. Her consistent pursuit of knowledge and dedication to her field have positioned her as a standout scholar.
Impact and Influence
Mrs. Wadha's impact is not confined to her academic achievements. As an academic advisor and a member of the exam committee at the University of Dammam, she actively contributes to the academic community. Her participation in conferences and seminars, coupled with her teaching roles, reflects her commitment to the dissemination of knowledge and the growth of her field.
Legacy and Future Contributions
Mrs. Wadha Abdullah A Al Khater's legacy lies in her commitment to advancing cybersecurity knowledge and contributing groundbreaking research to the scientific community. As she continues her Ph.D. journey, her work is poised to leave a lasting imprint on the realms of RFID technology and cybersecurity. Beyond her academic pursuits, Wadha's role as an educator and influencer ensures that her legacy extends to future generations of aspiring scholars.
In conclusion, Wadha's academic journey, research endeavors, accolades, and impact on the academic community collectively portray a scholar dedicated to excellence, innovation, and the advancement of knowledge in the field of Cyber Security. Her contributions are a testament to the transformative power of education and research.
Notable Publication
- Using 3D-VGG-16 and 3D-Resnet-18 deep learning models and FABEMD techniques in the detection of malware
- Comprehensive review of cybercrime detection techniques
- A review on Radio Frequency Identification methods
- Cybersecurity Issues in, Implanted Medical, Devices
- RFID Localization, Using Angle of Arrival, Cluster Forming .