PROFILE SUMMARY

Ms. Sana Akram is a Lecturer in Artificial Intelligence at Shifa Tameer-e-Millat University (STMU), with an MS in Computer Science (AI specialization) from the University of Sargodha. She has previously taught at the University of Sargodha, Fazaia Bilquis Postgraduate College for Women (Air University–affiliated), Bhaira Foundation College Islamabad, and as an online instructor at Horizon Navigators Institute of Technology. She also served as Principal at Best Teachers Islamabad School, managing academic operations alongside teaching. Her broad teaching portfolio and cross-institutional experience have enabled her to develop competencies in curriculum design, course development, instructional methodologies, and student assessment strategies. She has actively contributed to enhancing learning structures, designing course materials, and adopting modern pedagogical tools to support student engagement and academic excellence. Ms. Sana’s interdisciplinary research interests revolve around the impact of voice, auditory cues, and speech patterns on behavior, emotional development, and cognitive responses. She is particularly interested in exploring how AI-based voice technologies can shape mental well-being and human interaction. Additionally, she is passionate about incorporating and experimenting with emerging AI tools and technologies, aiming to contribute to innovative applications in education, mental-health technology, and intelligent systems. Dedicated to continuous professional growth, she aspires to further expand her research portfolio and contribute to advancements in Artificial Intelligence that positively influence human behavior and societal development. Her combination of strong academic foundations, diverse teaching experience, administrative involvement, and evolving research vision reflects her commitment to becoming a valuable contributor to the AI and academic community.

RESEARCH AREAS / INTERESTS

1. Sentiment Analysis and Predictive Analytics
2. Machine Learning for Behavioral and Cognitive Insights
3. AI-Based Voice and Auditory Behavior Analysis
4. Emerging AI Tools and Intelligent Systems