
Maida Sajid
Associate Lecturer
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She is an academic professional with experience in teaching and research in computer science. She has a strong background in machine learning, deep learning, and time series analysis, with a particular focus on improving website performance and software quality. Alongside teaching, she has been actively involved in research, exploring ways to enhance web applications using data-driven techniques. Additionally, she is keen on studying the impact of artificial intelligence techniques in software testing and performance monitoring, aiming to bridge the gap between theoretical advancements and real-world applications.
MS/MPhil | Machine Learning | Fast Nuces, Lahore campus | 2024 |
BS | Software Engineering | Bahria University | 2022 |
Associate Lecturer | UCP | 7, Oct 2024 - Current |
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Research interests lie in the fields of machine learning, deep learning, and time series analysis, with a focus on optimizing web application performance and software quality. She is particularly interested in developing predictive models to enhance system efficiency, analyze large datasets, and improve decision-making in technology-driven environments. Her work also explores the evaluation of non-functional requirements in web applications to ensure reliability and performance.