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Assistant Professor

Dr. Tamara Raddy Hazza Al Shloul, PhD

[email protected]
600 500606
Liwa College, Saeed Bin Ahmed Al Otaiba Street (Al Najda Street previously), Al Danah, Baniyas Tower B, Abu Dhabi, United Arab Emirates.
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Professional Summary

Dr. Tamara Raddy Hazza Al Shloul, PhD

Tamara AlShloul’s academic and research journey showcases her commitment to scholarly pursuits. In 2021, she worked as a Research Assistant at Al Ain University, where she contributed to research projects. Her academic endeavors also include serving as a Research Assistant at The Yarmouk University in Jordan in 2017, which allowed her to broaden her research perspectives. Furthermore, her doctoral research conducted at The Yarmouk University from 2015 to 2019 reflects her dedication to advancing knowledge and her expertise in the field of education.

Short Bio

Tamara AlShloul is a distinguished professional in the field of educational administration, holding a Ph.D. in the subject. With extensive academic expertise and a strong commitment to advancing educational practices, Tamara brings a wealth of knowledge and insights to the table. Her research and experience in educational leadership, policy development, and curriculum design have contributed significantly to the improvement of educational systems. Tamara’s passion for driving positive change in education, coupled with her advanced degree, positions her as a valuable resource for institutions seeking innovative approaches to educational administration and reform.

Core Qualifications

  • Curriculum development.
  • Technology in Education.
  • E-learning.
  • Critical thinking skills.
  • Counselor and a Mentor.
  • Seasoned higher education administrator and a visionary leader with a keen sense.
  • Diplomacy

Education

  • Al Yarmouk University, 2020
    Ph.D. in Education
  • Al Yarmouk University, 2017
    Master's Degree in Educational Administration
  • Al Yarmouk University, 2013
    Bachelor's Degree in English Literature

Publications

  • Revolutionizing Small-Scale Retail: Introducing an Intelligent IoT-based Scale for Efficient Fruits and Vegetables Shops.
  • Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence.
  • Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning.
  • Impact of 3G and 4G Technology Performance on Customer Satisfaction in the Telecommunication Industry.
  • A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids.
  • An efficient optimizer for the 0/1 knapsack problem using group counseling.
  • Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors.
  • Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review
  • Automatic Anomaly Monitoring in Public Surveillance Areas.
  • Student’s Health Exercise Recognition Tool for E-Learning Education.
  • Wound Rotor Synchronous Motor as Promising Solution for Traction Applications.
  • Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network.
  • Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network.
  • Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron.
  • Sensors-Based Ambient Assistant Living via E-Monitoring Technology.
  • Object Detection Learning for Intelligent Self Automated Vehicles.
  • Smartphone Sensors Based Physical Life-Routine for Health Education.
  • Pedestrian Physical Education Training over Visualization Tool.
  • Multiple Events Detection Using Context-Intelligence Features.
  • Improving the Ambient Intelligence Living Using Deep Learning Classifier.
  • An Intelligent Framework for Recognizing Social Human-Object Interactions.
  • Intelligent Sign Language Recognition System for E-Learning Context.
  • An Intelligent HealthCare Monitoring Framework for Daily Assistant Living.
  • MS-DLD: Multi-Sensors Based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs.
  • Self-Care Assessment for Daily Living UsingMachine Learning Mechanism.
  • Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems.
  • LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors.

Additional Information