Rate My Professor S Nirmala

Dr. Nirmala's research specializations encompass medical image processing and signal processing. Her notable publications include 'SAR optimization and Convolutional Neural Network based Classification of Lung Tumour in CT Scan Images' (2023, Signal Processing: Image Communication), 'Fully Automated Single Window Saline Fluid Flow Control and Automatic Container Changing System' (2021, IEEE International Conference on Advanced Computing and Communication Systems), 'Enabling public transport system for visually impaired people' (2022, AIP Conference Proceedings), 'Artificial intelligence based learning for wireless application' (2022, AIP Conference Proceedings), and 'Early Autism Detection Using Ensemble Approach and Optimization Techniques' (2023, book chapter). She has co-authored works on biomedical applications, fuzzy connectedness segmentation of fetal heart images, and mushroom quality classification using machine learning. Dr. Nirmala participates in research projects, such as the development of Quantum Dot based sensors funded externally. She has held roles in conference organizing committees, including General Chair for ICETMSST 2023 and committee member for ICMSSMT 2025, fostering advancements in engineering and technology.