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Azhaar Abdulhassan Shalal
Lecturer

Azhaar Abdulhassan Shalal

حاسبات
College of Engineering · University of Shatrah
4
h-index (Google Scholar)
63
Citations (Google Scholar)
Original CV

About

an Iraqi academic and lecturer at the University of Shatrah. She holds a PhD from the University of Kufa and currently serves in the Department of Computer Engineering and Artificial Intelligence within the College of Engineering. Her core academic and research interests lie at the intersection of advanced technology and computational systems, focusing on: • Artificial Intelligence (AI) and Machine Learning. • Digital Signal Processing (DSP) and system optimization. • Computer Science, including software architectures and advanced data structures. • Virtual Technologies, focusing on immersive simulations and virtual reality applications.

Publications (25)

  1. 1. Intelligent Communication using Dynamic Scheduling Algorithm with Resource Allocation Scheme in VANETs Environments — 2025
  2. 2. Improved Connectivity Based Directional Adaptive Clustering Approach for Urban Vehicular Ad-hoc Network — 2025
  3. 3. Cooperative Relaying Based MAC Layer with Efficient Multiple-hop V2V Communications in Urban VANETs Environments — 2025
  4. 4. Traffic Management and Hybrid Massive Data Transmission with Multipath Mitigation in Vehicle to Vehicle Communication — 2025
  5. 5. Successful Data Delivery with Quality Aware Route Discovery in Vehicular Adhoc Networks in Urban Scenarios — 2025
  6. 6. Maximum Lifetime Based Optimized Particle Swarm Routing in Vehicular Adhoc Network — 2025
  7. 7. AI-Powered Credit Card Fraud Detection Using Optimized Convolutional Neural Networks and Synthetic Data Augmentation — 2025
  8. 8. A Swarm Intelligence-Driven Framework for Detecting Insider Trading in Stock Markets — 2025
  9. 9. Trust-Aware Federated Learning for Secure Loan Approval in Peer-to-Peer Lending Platforms — 2025
  10. 10. Secure Transmission Path Optimization in UAV Mesh Networks Using Reinforcement Learning Techniques — 2025
  11. 11. Blockchain-Integrated Genetic Algorithm for Secure Asset Allocation in Robo-Advisory Systems — 2025
  12. 12. A Hybrid Deep Learning and Elliptic Curve Cryptography Scheme for Real-Time Financial Transaction Security — 2025
  13. 13. Byzantine-Resilient Federated Deep Learning for Secure and Privacy-Preserving Smart Healthcare Using Krum — 2025
  14. 14. Enhancing Virtual Private Network (VPN) Security via Dynamic Key Rotation: A Theoretical and Partial Simulation Study — 2025
  15. 15. Adaptive Machine Learning Models for Cloud-Based Security Risk Evaluation and Incident Prediction — 2025
  16. 16. ReinNN_GT: Reinforced Neural Network with Game theory based intrusion detection in Wireless Sensor Network — 2025
  17. 17. Optimizing Dual-Slot Antenna Performance for 6G Frequencies Using Digital Transformation and Machine Learning Techniques — 2025
  18. 18. Fine-Grained Emotion Recognition from Short Video Clips Using CNN-LSTM with Facial Action Heatmaps — 2025
  19. 19. Introducing UOM-Dataset : Object Detection Dataset with Performance Evaluation of YOLOv10–v12 — 2025
  20. 20. Improve Design Antenna by Using Machine Learning and Material — 2025
  21. 21. Adapting German energy transition rules for Iraq through industry, flexibility, and demand management — 2024
  22. 22. Improve the Design of the Antenna by Using Polynomial Regression — 2024
  23. 23. Design and Testing of Bidirectional DC-DC Converters for Emergency Lighting — 2024
  24. 24. MODELING OPTIMAL OIL PRODUCTION AND EXPORT LEVELS IN IRAQ: IMPLICATIONS FOR FIRM PROFIT MAXIMIZATION, GOVERNMENT REVENUE, AND GLOBAL ENERGY MARKETS — 2023
  25. 25. Machine learning with A MIMO Antenna for Wireless Communication Systems — 2023

Courses taught

  • اساسيات الاشارة...شبكات...اتصالات...حوسبه سحابيه....محاكيات

Degrees

  • دكتوراه — جامعة الكوفة — 2024
  • ماجستير — جامعة ذي قار — 2019
  • بكالوريوس علوم الحاسوب — كلية العلوم، جامعة ذي قار — 2010

Research interests

  • • الذكاء الاصطناعي والتعلم الآلي (Artificial Intelligence & Machine Learning): دراسة وتطوير الأنظمة الذكية
  • وتوظيف الخوارزميات المتقدمة في معالجة البيانات وتحليلها.
  • • معالجة الإشارات الرقمية والصور (Digital Signal & Image Processing): تطوير تقنيات التعرف على الصور
  • وتحسين جودة الإشارات الرقمية واستخلاص الميزات (Feature Extraction) منها للتطبيقات الهندسية.
  • • التقنيات الافتراضية ومحاكاة الواقع (Virtual Technologies & Virtual Reality): بحث طرق دمج تقنيات الواقع الافتراضي والمحاكاة الحاسوبية في البيئات التعليمية والهندسية
  • مثل نمذجة الأنظمة.
  • • الشبكات العصبية الاصطناعية (Artificial Neural Networks): استخدام الشبكات العصبية لحل المشكلات المعقدة وتصنيف البيانات في علوم الحاسبات وهندسة البرمجيات

Entered by the faculty member with the university account.

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