رقم الترخيص: 1000609300

رقم الترخيص: 1000609300

البيانات الشخصية

الاسم الكامل

Malak Zayed S Alamri

تاريخ الميلاد

01/12/1984

الجنس

أنثى

رقم الهوية أو الإقامة

1063939803

العنوان

Al Rabwa 51, Sakaka , Saudi Arabia

رقم الهاتف

00966503035057

البريد الإلكتروني

Mzalamri@ju.edu.sa

المعلومات الأكاديمية والمهنية

المؤهل العلمي

PhD

التخصص

ذكاء اصطناعي

الجامعة أو المؤسسة الأكاديمية

University of Southampton

المسمى الوظيفي الحالي

أستاذ مساعد

الجهة العملية الحالية

جامعة الجوف

سنوات الخبرة

16

الخبرة البحثية والعملية

السجل البحثي

****Journal Publications (ISI-Indexed) 1. Al-Wesabi, F. N., Alshahrani, A., Alanazi, R., Alshahrani, M. M., Sorour, S., Alghamdi, A. M., Alamri, M. Z., & Alanazi, S. (2025, September). Integrated communication and location monitoring system for vehicle monitoring via smartphone calls. Alexandria Engineering Journal. 2. Alsamri, J., Alamgeer, M., Alamri, M. Z., Ghaleb, M., Asklany, S. A., Almansour, H., Alsafari, S., & Alghamdi, E. A. (2025, June). Longitudinal EEG-based assessment of neuroplasticity and adaptive responses to transcranial focused ultrasound stimulation. Journal of Neuroscience Methods. 3. Allahem, H., Abd El-Ghany, S., Abd El-Aziz, A. A., AldughayOiq, B., Alshammeri, M., & Alamri, M. (2025, May). A hybrid model of feature extraction and dimensionality reduction using ViT, PCA, and random forest for multi-classiOication of brain cancer. Diagnostics. 4. Alamri, M., Jhanjhi, N. Z., & Humayun, M. (2019, May). Blockchain for Internet of Things (IoT) research issues, challenges & future directions: A review. IJCSNS International Journal of Computer Science and Network Security. 5. Abbas, S. F., Shahzad, R. K., Humayun, M., Jhanjhi, N. Z., & Alamri, M. (2019). SOA issues and their solutions through knowledge-based techniques: A review. IJCSNS International Journal of Computer Science and Network Security, 19(1). **** Conference Publications 1. Alamri, M., Mahmoodi, S. (2022). Face ProOile Biometric Enhanced by Eyewitness Testimonies. In Proceedings of the 26th International Conference on Pattern Recognition (ICPR). IEEE. 2. Alamri, M., Mahmoodi, S. (2020). Facial ProOiles Recognition Using Comparative Facial Soft Biometrics. In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE. 3. Alamri, M., Mahmoodi, S. (2025). Facial ProOile Biometrics: Domain Adaptation and Deep Learning Approaches. In Proceedings of the 18th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS). IEEE. **** Funded Research Grants 1. Co-Lead (2019): Secure & Energy-EfOicient IoT Scheme for E-Health Applications – Jouf University (Grant No. 40/222) 2. Co-Lead (2018): A Quick Revision of Software Engineering (MCQ-Based Book Project) – Jouf University (Grant No. 39/104) 3. Lead (2025 – ongoing): Health and Wellness Sustainable Environment Project – King Salman Center for Disability Research (Funded: 150,000 SR) 4. Lead (2025 – ongoing): Three Funded Projects – Jouf University (Funded: 60,000 SR) **** Book Chapters 1. Alamri, M., Mahmoodi, S. (2024). Face ProOile Biometric Systems: An Overview. In Face Recognition Across the Imaging Spectrum, Second Edition (Ed. T. Bourlai). Springer, Netherlands. 2. Alamri, M., Zaman, N., Humayun, M. (2023). Digital Curriculum Importance for New Education. In Employing Recent Technologies for Improved Digital Governance. IGI Global Publishers, USA. 3. Humayun, M., Zaman, N., Alamri, M., Khan, A. (2023). Smart Cities and Digital Governance. In Employ

الخبرة في التحكيم

1-Supervisor of the team participating in the National History Lab, which won first place. 2-Judge at the Sixth Scientific Forum at Al-Jouf University.

الخبرة في مجال الطاقة أو البيئة

I have academic and research experience in the field of Artificial Intelligence and its applications across various sectors, including energy and sustainability. I have participated in reviewing and evaluating several scientific papers and projects, and have supervised research teams that achieved top rankings in scientific forums. My expertise in data analysis and intelligent modeling can be effectively applied to assessing research related to energy efficiency, digital transformation in the energy sector, and the use of AI to optimize renewable energy systems. I aspire to contribute as a reviewer in the field of energy research from a technological and innovative perspective, supporting research quality and promoting the integration of AI with the energy sector.

المعلومات المتعلقة بالهاكثون

سبب الاهتمام بالتحكيم

I am interested in judging because I believe it is an excellent opportunity to contribute to the advancement of scientific research and to support innovation in the field of energy. As a specialist in Artificial Intelligence, I am particularly interested in how emerging technologies can enhance sustainability and energy efficiency. Participating as a judge allows me to apply my analytical and research skills to evaluate creative ideas, encourage high-quality research, and learn from diverse scientific perspectives.

أي أفكار أو مشاريع سابقة تم تحكيمها

I have previously served as a judge for various scientific research projects and student competitions. This includes evaluating AI-based applications, data analysis projects, and interdisciplinary research in the fields of energy, sustainability, and smart technologies. I also participated as a judge in the Sixth Scientific Forum at Al-Jouf University and supervised a research team that won first place in the National History Lab competition.

أي ملاحظات أو اقتراحات

I am passionate about promoting high-quality scientific research and encouraging innovative approaches that connect Artificial Intelligence with energy and sustainability. I look forward to contributing as a fair and objective judge, supporting participants, and helping enhance the overall quality of research presentations and evaluations.

المرفقات

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