I am a dedicated academic with extensive experience teaching computer science, data science, machine learning, and business information systems across institutions including Lincoln Institute of Higher Education, Western Sydney University, GITAM University, and Gayatri Vidya Parishad College of Engineering. My teaching philosophy emphasises student-centred learning, active engagement, and the integration of digital tools to support diverse learners. I have successfully coordinated subjects, designed curricula, supervised postgraduate research, and implemented fair and effective assessment strategies while upholding academic integrity. In addition to academia, I bring valuable industry experience in IT consulting and data-driven business solutions, which allows me to connect theory with practice and prepare students for real-world challenges. My research in artificial intelligence and genomics further informs my teaching, ensuring that students are exposed to current trends and innovations in the field. Through this combination of teaching, research, and industry practice, I aim to equip learners with the skills, confidence, and adaptability required to thrive in the digital era.

Karetla Girija Rani, Catchpoole, Daniel, Kennedy, Paul, Simoff, Simeon, & Nguyen, Quang Vinh. (2023). IR-ER-A Hybrid Pipeline for Classifying COVID-19 RNA Seq Data. In Proceedings of the 2023 Australasian Computer Science Week (pp. 183-189).

Karetla Girija Rani, Catchpoole, Daniel R, & Nguyen, Quang Vinh. (2022). Hybrid Framework for Genomic Data Classification Using Deep Learning: QDeep_SVM. Paper presented at the Workshop on Mining Data for Financial Applications.

Karetla Girija Rani, Nguyen, Quang Vinh, Simoff, Simeon J, Catchpoole, Daniel R, & Kennedy, Paul J. (2024). Feature-Ranking Methods for RNA Sequencing Data. In Data-Driven Science for Clinically Actionable Knowledge in Diseases (pp. 129-145): Chapman and Hall/CRC.