Dr. B. Geethanjali
B.E (ECE), PGDMIT, M.Tech (BME), Ph.D.
Associate Professor
Department of Biomedical Engineering
Dr. B. Geethanjali is currently working as an Associate Professor in the Department of Biomedical Engineering at SSN College of Engineering. She completed her B.E. in Electronics and Communication Engineering from Madurai Kamaraj University, followed by a Post Graduate Diploma in Medical Instrumentation (PGDMIT) from Bharathiar University. She earned her M.Tech (Biomedical Engineering) and Ph.D. from Vellore Institute of Technology (VIT), where she was awarded the Gold Medal for academic excellence. She completed her Ph.D. at Vellore Institute of Technology (VIT), Vellore, with her doctoral research titled: “Evaluating the Impact of Music on Cognitive Performance through Physiological Signal Analysis.”
She has worked in various multi-specialty hospitals as a Biomedical Engineer, handling clinical instrumentation, maintenance, and equipment training. She also served as faculty in Biomedical Engineering at Avinashilingam University before joining SSN College of Engineering. She has over 23 years of professional experience, including 3 years in clinical hospitals and 20 years in academic teaching and research.
Dr. Geethanjali is a recognized research supervisor under Anna University (Ref. No: 3040054) for guiding Ph.D. and M.S (by Research) candidates in the faculty of Information and Communication Engineering.
Dr. Geethanjali’s research focuses on how the brain processes cognitive and emotional experiences, with a strong emphasis on EEG and physiological signal analysis. She explores the role of music in modulating brain activity and autonomic nervous system responses, particularly in the reduction of anxiety and depression. Her work also extends to studying brain connectivity, cognitive load, and emotion regulation, with practical applications in neurofeedback, learning disability support, mental health interventions, and cognitive enhancement. She integrates medical analytics and data-driven modeling to identify meaningful patterns in neural and physiological signals, enabling more accurate assessment and prediction of cognitive and emotional states. Her research further seeks to develop evidence-based therapeutic strategies that support mental well-being, enhance cognitive performance, and promote healthier neural functioning across varied populations. Her work aims to bridge neuroscience and real-world applications, contributing to clinically relevant tools and technologies that improve overall quality of life.
Investigating how different musical structures, rhythmic patterns, and melodic components influence attention, memory, emotion, and task performance, and how music can be used as a therapeutic and cognitive enhancement tool.
Studying the brain mechanisms underlying attention, working memory, and language processing, particularly in children and individuals with learning challenges, to develop neurocognitive training and intervention frameworks.
Applying statistical modelling, quantitative data analysis, and machine learning approaches to identify and interpret clinical, behavioural, and neural biomarkers from large-scale biosignal datasets.
Focused on the design, development, calibration, and performance evaluation of biosignal acquisition systems and medical equipment, with attention to signal accuracy, device reliability, patient safety, and clinical usability in real-world healthcare environments.
Project title: "Enhancing Brain Cognition through Neuro-Feedback model in Indian Children with Learning Disability” received funding: SERB –CRG (agency and scheme)
Funding amount: Rs. 44, 03,080 Lakhs
Dr. Geethanjali Balasubramaniam (PI) and Dr. Mahesh Veezhinathan (Co-PI) of Biomedical Engineering, at SSN College Of Engineering, Dr. Bikesh Kumar Singh (Co-PI), Assistant Professor, Biomedical Engineering, National Institute of Technology, Raipur are the investigators of this project and the duration is 3 Years
- Mylakumar, M. N., Geethanjali, B., Mohan, J., AnanthaNarayanan, R., Murugappan, M., & Chowdhury, M. E. (2024).
Assessing the Effects of Music on Anxiety and Performance in Tasks Using Heart Rate Variability and Mean Arterial Pressure.
IEEE Access — Q1 (Impact Factor 3.9, SCI) - Balasubramanian, G., Kanagasabai, A., Veezhinathan, M., & Mohan, J. (2024).
Brain connectivity dynamics during listening to music and potential impact on task performance.
Cognitive Neurodynamics, 18(3), 829–845. — Q2 (Impact Factor 3.1) - Seshadri, N. G., Agrawal, S., Singh, B. K., Geethanjali, B., Mahesh, V., & Pachori, R. B. (2023).
EEG based classification of children with learning disabilities using shallow and deep neural network.
Biomedical Signal Processing and Control, 82, 104553. — Q1 (Impact Factor 5.1, SCI) - Seshadri, N. G., Geethanjali, B., & Singh, B. K. (2022).
EEG based functional brain networks analysis in dyslexic children during arithmetic task.
Cognitive Neurodynamics, 16(5), 1013–1028. — Q2 (Impact Factor 5.6) - Balasubramanian, G., Kanagasabai, A., Mohan, J., & Seshadri, N. G. (2018).
Music induced emotion using wavelet packet decomposition—An EEG study.
Biomedical Signal Processing and Control, 42, 115–128. — Q1 (Impact Factor 3.6, SCI) - Geethanjali, B., Adalarasu, K., Jagannath, M., & Seshadri, N. P. G. (2018).
Music-induced brain functional connectivity using EEG sensors: A study on Indian music.
IEEE Sensors Journal, 19(4), 1499–1507. — Q1 (Impact Factor 4.325, SCI) - Shankar, Vijay Mani, B. Geethanjali, Mahesh Veezhinathan, Jayaram Hariharakrishnan, Nikhil Balakrishnan, and L. Lakshmi. (2020).
Evaluating the effect of music intervention on hypertension.
Current Science, 118(4), 612–620. — Q2 (Impact Factor 1.1, SCI) - NP, G. S., Geethanjali, B., & Muthumeenakshi, S. (2016).
Visualizing the brain connectivity during negative emotion processing–An EEG study.
Frontiers in Human Neuroscience, 10. — Q2
Featured in: Mumbai Mirror
Published on: December 6, 2016
Author: Mihika Basu This media feature highlighted Dr. Geethanjali’s research demonstrating how Carnatic music influences cognitive functioning and enhances brain activity, bringing public and scientific attention to her contributions in music-based cognitive neuroscience.
2. Research Matters (Bengaluru)
Title: Can Indian classical music help in relieving hypertension? Yes, says study Publication Date: November 26, 2019
This feature highlighted the research findings demonstrating the physiological benefits of Indian classical music, particularly in relieving hypertension.
- Smart India Hackathon, 2019 (Hardware Edition)
Mentor for Team Techdocs – Developed continuous cuff-less blood pressure monitoring system
Prize Won: ₹1,00,000 (Industry-supported project)
- IEEE COVID-19 National Online Hackathon (April 2020)
Team MedTex won First Prize for their project “Corover 2020”, securing a cash prize of ₹12,000.
- Texas Instruments Innovation Challenge, 2015
Project: Brain-Computer Interface for Navigation
Funding Received: ₹12,000 - Texas Instruments Innovation Challenge, 2014
Project: Silent Speech Recognition using sEMG
Funding Received: ₹12,000 - Schneider Electric Innovation Challenge, 2012
Project: Optimized Switch Control for Elderly & Disabled using EEG
Award: 2nd Prize | Cash Award: ₹3,00,000 - Texas Instruments Analog Design Contest, 2012–13
Project listed in Top 40 projects nationally
Consolation Prize: ₹10,000
- Consultancy with National Instruments (2009–2010)
Developed a Biomedical Signal & Medical Image Processing Workbench
Project Value: ₹1,00,000