Rate My Professor A Kavitha

Dr. A. Kavitha is Professor and Head of the Department of Biomedical Engineering at SSN College of Engineering. She obtained her B.E. in Electrical and Electronics Engineering from the University of Madras, M.S. by Research, and Ph.D. specializing in Biomedical Instrumentation from Anna University, Chennai. Boasting over 25 years of teaching experience and 20 years of research experience, Dr. Kavitha has focused her career on advancing biomedical technologies through innovative research and education.

Her research specializations include cognitive neuroscience, mental imagery, neuroimaging, bio signal processing, bone biomechanics, and extended reality encompassing virtual and augmented reality. Dr. Kavitha has received notable recognition, including being a special invitee at the ASEAN India Womens Conclave in Singapore in April 2024 among the top 15 women researchers in STEM, and featuring in the Ulektz Wall of Fame as one of the top 20 influential women educators in Tamil Nadu for 2019. Key publications from her extensive portfolio include: Sathyanathan, S. B., Ganesan, S., & Anandan, K. (2023) 'Design and Analysis of Different Locking Mechanisms for Stand-alone Posterior Lumbar Cage Implant' in Brazilian Archives of Biology and Technology; Retnapandian, A. S., & Anandan, K. (2023) 'Phoneme-based Imagined Vowel Identification from Electroencephalographic Sub-Band Oscillations during Speech Imagery Procedures'; B. Divya et al. (2023) 'Classification of low-functioning and high-functioning autism using task-based EEG signals' in Biomedical Signal Processing and Control; Chengaiyan, S., & Anandan, K. (2022) 'Effect of functional and effective brain connectivity in identifying vowels from articulation imagery procedures' in Cognitive Processing; Srinivasan, V. et al. (2022) 'A hybrid approach for analysis of brain lateralisation in autistic children using graph theory techniques and deep belief networks'; C. Sandhya et al. (2020) 'Identification of vowels in consonant–vowel–consonant words from speech imagery based EEG signals' in Cognitive Neurodynamics; and earlier works such as Kavitha et al. (2010) 'Comparison of prediction of Forced Expiratory Volume (FEV6) in Flow-Volume Spirometric measurements using Radial Basis Function Neural Networks and Support Vector Machines' in Journal of Mechanics in Medicine and Biology, among numerous others in journals like Measurement Science Review, Journal of Medical Systems, and Clinical Hemorheology and Microcirculation spanning from 2005 to 2023. She has also authored book chapters on brain connectivity in autism spectrum disorders.