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Lecturer, Department of Computer Science
Ms. Maha Ijaz serves as a Lecturer in Computer Science at the Gujrat Institute of Management Sciences, affiliated with PMAS-Arid Agriculture University, Rawalpindi. Passionate about teaching and equipped with a robust academic foundation, Maha is committed to fostering an engaging and supportive learning environment. In her role as a lecturer, she emphasizes critical thinking and practical knowledge, empowering students to excel in both their academic and professional pursuits. Her lectures and mentorship equip students with the essential tools to thrive in the dynamic field of computer science.
Ms. Maha Ijaz is a dedicated Computer Science Lecturer at the Gujrat Institute of Management Sciences, affiliated with PMAS-Arid Agriculture University, Rawalpindi. With a deep passion for teaching and a robust academic background, she is committed to cultivating an engaging, supportive environment for her students. Maha is known for integrating critical thinking and practical knowledge into her teaching approach, preparing students to excel in the evolving field of computer science. Her classes are designed to inspire innovation, curiosity, and resilience, equipping students with the tools necessary for both academic and professional success.
Maha Ijaz's expertise spans programming, algorithms, AI, machine learning, and deep learning, with a research focus on transfer learning and sentiment analysis. She is particularly interested in domain adaptation within multi-realm sentiment classification through transfer learning algorithms, working towards enhancing sentiment analysis models to function effectively across various domains.
Ijaz, M., Anwar, N., Safran, M., Alfarhood, S., Sadad, T., & Imran. (2024). Domain adaptive learning for multi-realm sentiment classification on big data. PLoS ONE, 19(4): e0297028. doi:10.1371/journal.pone.0297028