الصفحة الرئيسية

كلية الحاسبات وتقنية المعلومات \ علوم الحاسب

لبنى عبدالعزيز أبو الحسن الحربي

نسبة اكتمال الملف الشخصي
الجنسية السعودية
التخصص العام علوم الحاسب
التخصص الدقيق الذكاء الاصطناعي والأنظمة والبيانات
المسمى الوظيفي أستاذ مساعد
الدرجة العلمية (المرتبة) دكتوراه

نبذه مختصرة

Lubna Alharbi, received her MSc from Coventry University, UK, in 2015 (Master degree with Distinction grade) and in 2021 completed her PhD in Computer Science at the University of Liverpool, Faculty of Science and Engineering, UK Interested in Artificial Intelligence algorithms and applications, Sentiment Analysis, Machine Learning and Deep Learning

المؤهلات العلمية

Phd in Computer Science - University of Liverpool - 2020/2021 MSC in Computer Science - Coventry University - 2015 BSc in Computer Science - Taibah University - 2010/2011

الاهتمامات البحثية

Artificial intelligence (AI) - Machine Learning (ML) - Natural Language Processing (NLP) Deep Learning

الخبرات والمناصب الإدارية

مشرفة قسم تقنية المعلومات Dec 2021 - Present مشرفة وحدة خدمة المجتمع وتنمية المهارات التابعة لوكالة التطوير والجودة في كلية الحاسبات وتقنية المعلومات Oct 2021- Present

الجدول الدراسي
الأبحاث والمؤلفات
  • • Alharbi, LA, 2023 A Systematic Literature Review on AI Algorithms and Techniques Adopted by e-Learning Platforms for Psychological and Emotional States International Journal of Advanced Computer Science and Applications, 14(2)
  • • Li, L, Fu, Y, Yu, K, Alwakeel, AM and Alharbi, LA, 2022 Optimal trajectory UAV path design based on bezier curves with multi-hop cluster selection in wireless networks Wireless Networks, pp1-12
  • • Hijji, M, Ahmad, B, Alam, G, Alwakeel, A, Alwakeel, M, Abdulaziz Alharbi, L, Aljarf, A and Khan, MU, 2022 Cloud Servers: Resource Optimization Using Different Energy Saving Techniques Sensors, 22(21), p8384
  • • Obayya, M, Nemri, N, Alharbi, LA, Nour, MK, Alnfiai, MM, Al-Hagery, MA, Salem, NM and Al Duhayyim, M, 2023 Improved Bat Algorithm with Deep Learning-Based Biomedical ECG Signal Classification Model CMC-COMPUTERS MATERIALS & CONTINUA, 74(2), pp3151-3166
  • • Mengash, HA, Alharbi, LA, Alotaibi, SS, AlMuhaideb, S, Nemri, N, Alnfiai, MM, Marzouk, R, Salama, AS and Al Duhayyim, M, 2022 Deep Learning Enabled Intelligent Healthcare Management System in Smart Cities Environment
  • • Al-Qarafi, A, Alsolai, H, Alzahrani, JS, Negm, N, Alharbi, LA, Al Duhayyim, M, Mohsen, H, Al-Shabi, M and Al-Wesabi, FN, 2022 Artificial Jellyfish Optimization with Deep-Learning-Driven Decision Support System for Energy Management in Smart Cities Applied Sciences, 12(15), p7457
  • • Ullah, N, Khan, JA, Alharbi, LA, Raza, A, Khan, W and Ahmad, I, 2022 An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model IEEE Access, 10, pp73019-73032
  • • Hilal, AM, Hashim, AHA, Mohamed, HG, Alharbi, LA, Nour, MK, Mohamed, A, Almasoud, AS and Motwakel, A, 2022 Spotted Hyena Optimizer with Deep Learning Driven Cybersecurity for Social Networks
  • • Alharbi, L, 2021 A Conceptual Framework for Monitoring the Emotional State of Students in VLEs (Doctoral dissertation, University of Liverpool)
  • • Alharbi, L, Grasso, F and Jimmieson, P, 2020, June A conceptual framework for real-time emotional-state monitoring of students in vles to identify students at risk In EDEN Conference Proceedings (No 1, pp 184-193)
  • • Alharbi, L, Grasso, F and Jimmieson, P, 2019, July A conceptual framework for identifying emotional factors leading to student disengagement in VLEs In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (pp 293-293)
  • • Alharbi, L, Grasso, F and Jimmieson, P, 2018, April An experiment with an off-the-shelf tool to identify emotions in students’ self-reported accounts In Symposium on Emotion Modelling and Detection in Social Media and Online Interaction (pp 16-21)
جوائز التميز
المشاريع البحثية
معلومات التواصل
البريد الإلكتروني : lualharbi@ut.edu.sa
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