Prof. M. Malini is a researcher and faculty member in Biomedical Engineering. Her work focuses on biomedical signal processing, medical image analysis, and AI-based diagnostic systems for healthcare. She has contributed to research on cancer prognosis, retinal disease assessment, and disease classification using deep learning and feature extraction methods. Her publications include journal articles, book chapters, and conference papers in machine learning for medical applications.
She has worked with teams on prostate cancer segmentation, retinal disease prediction using recurrent neural models, and optimization strategies for feature selection in diagnostic systems. Her research also covers physiological monitoring systems, wheelchair control using electrooculography, and drowsiness detection using EEG and EOG signals.
Prof. Malini guides postgraduate research scholars and collaborates with interdisciplinary teams in healthcare and computational engineering. Her teaching covers biomedical instrumentation, medical image processing, and machine learning in healthcare.