Mrs. Nandini S | Sentiment Analysis | Best Researcher Award
Assistant Professor | Deemed to be University | India
Mrs. Nandini S, an accomplished academic and researcher in Computer Science and Engineering, specializes in sentiment analysis, multimodal data fusion, and deep learning applications in healthcare and agriculture. With more than seven years of teaching experience across leading universities including REVA University, Jain University, GITAM University, and Sai Vidya Institute of Technology, the researcher has built a strong foundation in computer networks, machine learning, cryptography, operating systems, and advanced computing subjects. Registered for a Ph.D. at GITAM Deemed to be University, the scholar’s doctoral work titled Enhancing Sentiment Analysis and Feature Selection through Multimodal Data Fusion and Emotional Context in Consumer Conversations reflects a dedication to advancing natural language processing and artificial intelligence for real-world applications. The researcher’s innovative mindset is evident in multiple patent publications, including Revolutionizing Agriculture: Harnessing Deep Learning in Vision Technology for Smart Farming, Utilizing Deep Learning Methods for Assessing CT scans in Lung Cancer Diagnosis, and Deep Learning Methods for Image-Based Crop Disease Detection. In addition, the academic contributions span high-impact journals and conferences, with works such as A sentiment analysis framework using RoBERTa with Bi-LSTM classification on Dynamic Twitter data, Multimodal Emotion Recognition using Multi-Strategy Opposite Learning with Lyrebird Optimization Algorithm Wheeler Accident Detector and Informer, An Automatic Detection and Notification of Potholes on Roads to Avoid Disasters, Aspect Based Sentiment Analysis for E-Commerce Websites with Visualization through Machine Learning Algorithm, Prevention of Disasters Using Automated Railway Crossing System, and Smart Floating Farming: The Future is Here.
Featured Publications:
Nandini, S., & Mohan, K. G. (2025). Multimodal emotion recognition using multi-strategy opposite learning with Lyrebird optimization algorithm. Proceedings of the 4th IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). IEEE.
Nandini, S., & Kabadi, M. (2025). A sentiment analysis framework using RoBERTa with Bi-LSTM classification on dynamic Twitter data. ETRI Journal.
Yathish, D. P., & Nandini, S. (2020). Designing and implementation of DeInformer – Two wheeler accident detector and informer. International Journal of Emerging Trends in Engineering Research, 8(7), 3076–3079.
Nandini, S., & Yathish, D. P. (2020). SVM classification model with the fusion of multiple kernels for medical dataset. International Journal of Emerging Trends in Engineering Research, 8(7), 3617–3621.
Nandini, S. (2020). An automatic detection and notification of potholes on roads to avoid disasters. International Journal of Advanced Science and Technology, 29(4), 3813–3822. ISSN 2005-4238.
Nandini, S. (2020). Prevention of disasters using automated railway crossing system. International Journal of Engineering and Advanced Technology, 9(4), 701–704.
Nandini, S. (2020). Aspect based sentiment analysis for e-commerce websites with visualization through machine learning algorithm. International Journal of Innovative Technology and Exploring Engineering, 9(5), 1020–1024. https://doi.org/10.35940/ijitee.e2838.039520
Nandini, S. (2018). Creating the smart campus by Internet-of-Things. International Journal of Computer Science and Mobile Computing, 7(3), 2320–2882. ISSN 2320-2882.
Nandini, S. (2018). Identity disclosure of anonymized social actors in the network using Seed then Grow model. International Journal of Computer Science and Mobile Computing, 7(3), 2320–2882. ISSN 2320-2882.
Nandini, S. (2018). Modeling energy consumption of a parallel application on a computational grid. International Journal of Computer Science and Mobile Computing, 7(3), 2320–2882. ISSN 2320-2882.
Nandini, S. (2017). Context based syntactic opinion mining. International Journal of Engineering Research & Technology, 6(9), 2278–0181. ISSN 2278-0181.