Rate My Professor S. Suja Priyadharsini

Dr. Priyadharsini has published over 40 works, including journal articles in Applied Soft Computing ("An Efficient Soft-Computing Technique for extraction of EEG signal from tainted EEG Signal", 2012), Biomedical Signal Processing and Control ("Multi scale decomposition based medical image fusion using convolutional neural network and sparse representation", 2021, co-authored), Journal of Experimental & Theoretical Artificial Intelligence ("A novel approach for the elimination of artefacts from EEG signals employing an improved artificial immune system algorithm", 2016), and Wireless Personal Communications ("An Efficient Algorithm Based on Combined Encoding Techniques for Compression of ECG Data from Multiple Leads", 2019). Her publications have accumulated approximately 200 citations with an h-index of 11. She has contributed four book chapters, such as "Groundnut leaves and their disease, deficiency, and toxicity classification using a machine learning approach" in Cognitive Systems and Signal Processing in Image Processing (Elsevier, 2022). In 2014, she received ₹50,000 funding from Anna University's Centre for Technology Transfer and Development for the project "Diagnosis of Neuro-muscular Disorder using Soft Computing Techniques". She has guided 59 M.E./M.Tech theses and four Ph.D. dissertations (completed 2022-2024 on topics including speaker recognition and plant leaf disease detection). Administratively, she has served multiple terms as HoD ECE, Library Officer, Women Empowerment Cell Coordinator, POSH Cell In-charge, and member of Discipline and Internal Complaint Committees. She is a Life Member of ISTE.