RAJALAKSHMI RAJASEKARAN

Senior Lecturer with extensive experience in Computer Systems Engineering and Information Technology education, with leadership focused on curriculum development, course design, and program delivery. Skilled in aligning curriculum with industry and accreditation requirements while integrating innovative teaching methods to enhance student learning and engagement. Actively engaged in applying Artificial Intelligence and advanced data analytics to solve complex problems in education, IT project management, and bioinformatics. Committed to excellence in teaching, with experience supervising Honours-level research and supporting students in achieving strong academic outcomes.

My research applies Artificial Intelligence and advanced data analytics to address high-impact challenges across multiple domains:

• AI in Education Analytics – Predictive modelling for forecasting tertiary education demand and enrolment, enabling better planning and strategic decision-making.
• AI-Driven Project Management – Using machine learning to improve IT project risk assessment, scheduling accuracy, and resource allocation.
• Bioinformatics and Multi-Omics Data Integration – Applying AI to integrate and analyse multi-omics datasets for insights into conditions such as intrahepatic cholestasis.
• Large-Scale Image Processing – AI-driven optimisation for ultra-large datasets, demonstrated in recent satellite image segmentation research.

• COSMOS: Context-preserving satellite memory-optimized segmentation system for ultra large-scale remote sensing images – International Journal of Applied Earth Observation and Geoinformation (2025)
• Potential Therapeutic Targets and Role of Technology in Developing Novel Antileishmanial Drugs – Drug Discovery Today (2015)
• Probing the structure of Leishmania major DHFR-TS and structure-based virtual screening of peptide library – Journal of Molecular Modeling (2011)
• A Novel Strategy for Mechanism-Based Computational Drug Discovery – Biomarkers in Cancer (2010)