Abirami Gunasekaran

Abirami Gunasekaran serves as a Lecturer in Data Analytics within the Department of Computer Science at the School of Computing and Engineering, University of Huddersfield. She maintains active research engagement and is currently accepting PhD students for supervision.

Her research profile centers on machine learning interpretability and predictive modeling, with strong emphasis on:

• Explainable AI (XAI) methodologies
• Model class reliance analysis
• Predictive maintenance systems
• Interdisciplinary applications in engineering and materials science

Recent work demonstrates consistent innovation in model explanation frameworks, particularly for handling explanation multiplicity across machine learning systems. Her publications bridge theoretical machine learning with practical engineering applications, including failure prediction in mechanical systems and rheological fluid analysis.

Since 2023, she has produced four significant research outputs with measurable scholarly impact, including journal articles in SN Computer Science and Machines, plus conference contributions at icSoftComp 2022. Her work shows growing citation metrics and cross-platform academic engagement.

No scientific awards were documented in the source material.

Dr. Gunasekaran actively supervises graduate research and maintains collaborative networks across computer science and engineering disciplines, with recent publications indicating strong institutional partnerships within the University of Huddersfield's research ecosystem.