Esraa
Eissa
Esraa Eissa earned her Bachelor of Engineering in Communication and Electronics from Cairo University, Egypt. She brings over ten years of professional experience in software testing and quality assurance, with a strong foundation in both manual and automation testing using tools like Selenium WebDriver, JMeter, and Postman. Her career includes impactful roles at multinational companies, where she specialized in functional, regression, and system testing within Agile environments. Esraa recently completed a one-year role as a Research Assistant at the University of Alberta, where she worked on machine learning projects focused on neural networks, natural language processing, and large language models. She is currently in her second year of a Master of Science in Engineering Management at the University of Alberta, combining her technical expertise with strategic and analytical skills in management.
Research Summary
Software Quality Assurance, Automation Testing, Natural Language Processing, Neural Networks, Large Language Models, Data-Driven Decision Making, Machine Learning, Agile Development, and Engineering Management
This research explores developing a precise indoor localization system for asset tracking using LoRaWAN technology and machine learning techniques, particularly fingerprinting through RSSI (Received Signal Strength Indicator) values collected from multiple LoRa gateways. Experimental data from various locations was collected, organized, and analyzed to train a Random Forest regression model capable of predicting asset positions based on RSSI signals. The system integrates real-time data processing through structured Python code, local SQLite databases for data storage, and visualization modules, demonstrating a robust, scalable approach to accurately track and predict the coordinates of multiple moving tags in complex indoor environments.
Projects
Magical Deserts
Morocco
4/11-5/12
$600
Exotic Urbanism
Brazil
4/11-5/12
$600