Hanine Merzougui - Structural Health Monitoring - Best Researcher Award
Batna 2 University - Algeria
AUTHOR PROFILE
AI ENGINEER & DATA ANALYST 🤖
Hanine Merzougui is a highly motivated AI Engineer and Data Analyst from Batna 2 University, with expertise in a variety of programming languages including Python, R, Java, and C++. Her research focuses on the application of artificial intelligence technologies such as Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision to enhance human life. Hanine is fluent in Arabic, French, and English, and is passionate about creating innovative AI tools, like the GptStoryTeller, which showcases her commitment to advancing technology for societal benefits.
TEACHING EXPERIENCE 📚
As a teaching assistant at Batna 2 University, Hanine has played a pivotal role in educating future engineers and computer scientists. She has been responsible for conducting lab sessions, guiding projects, and evaluating practical work for both Bachelor's seniors and sophomore engineers. Her dedication to mentoring students highlights her commitment to fostering an engaging and supportive learning environment. Hanine's hands-on approach and her ability to simplify complex concepts have made her a valuable asset to her department.
SOFTWARE DEVELOPMENT 💻
During her tenure as a software developer at Middle School Bensaadallah Belkhir, Hanine developed a management software that streamlined student activity tracking. This project not only honed her programming skills but also gave her insight into practical applications of technology in education. Her proficiency in Java and understanding of user needs allowed her to create a tool that significantly improved the management of student activities.
RESEARCH AND INNOVATION 🔍
Hanine’s research is centered around the digitalization and automation of approval processes for durum wheat grain quality in Algeria, utilizing computer vision and machine learning. Her thesis project focused on enhancing quality control through innovative AI applications, demonstrating her ability to combine theoretical knowledge with practical solutions. By publishing her findings, Hanine contributes to the academic community and the broader agricultural sector, paving the way for advancements in food quality assessment.
CONFERENCES & SEMINARS 🎤
Hanine actively participates in conferences and seminars, sharing her research and insights with peers and experts. Her presentations on the use of deep learning approaches for durum wheat seed certification and quality approval have garnered attention in the academic community. By engaging with fellow researchers, Hanine not only disseminates knowledge but also fosters collaborations that can lead to groundbreaking advancements in her field.
HONORS AND CERTIFICATIONS 🏆
Recognized for her contributions, Hanine has received several accolades, including a Startup Certificate Patent for her master's thesis and a Certificate of Appreciation from the GDG Batna Hackathon for developing an innovative AI storytelling tool. Additionally, she earned the Google Data Analytics Professional Certificate, showcasing her skills in data preparation, analysis, and visualization. These achievements reflect her commitment to continuous learning and excellence in her field.
DIGITAL SKILLS & COMPETENCIES 💡
Hanine possesses a robust set of digital skills, including proficiency in machine learning frameworks such as TensorFlow and Keras, along with expertise in data management using SQL and MySQL. Her programming background encompasses a variety of languages, and she has a strong foundation in statistical analysis and data visualization. Hanine’s ability to leverage technology effectively positions her as a leading figure in the field of AI and data analytics.
NOTABLE PUBLICATION
Title: Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency
Authors: [Author names not provided in the given information]
Year: 2024