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Dr. Lakshmi Mohandas

Associate Professor, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Faridabad

Qualification: Ph.D
lakshmi.mohandas@dl.amrita.edu
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Bio Publications Research Interest
Bio

Dr. Lakshmi Mohandas currently serves as Associate Professor at the Department of Artificial Intelligence, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Faridabad.

Publications

Journal Article

Year : 2024

MobileNet-Based Transfer Learning: A Novel Approach for Improved Alzheimer’s Disease Classification from Brain Imaging

Cite this Research Publication : Dhrumil Panchal, Neel Kothari, Dhruv Gada, Pratik Kanani, Lakshmi Kurup, Darshana Sankhe, Gayatri Pandya, "MobileNet-Based Transfer Learning: A Novel Approach for Improved Alzheimer's Disease Classification from Brain Imaging," International Journal of Intelligent Systems and Applications in Engineering, 12(3), 2777–2783, 2024.

Publisher : International Journal of Intelligent Systems and Applications in Engineering

Year : 2021

AI Based Tutoring System For English Punctuation: E-Vakya

Cite this Research Publication : Lakshmi Kurup, Meera Narvekar, Sasikumar M., "AI Based Tutoring System For English Punctuation: E-Vakya," International Journal of Mechanical Engineering, Vol. 6 No. 3 December, 2021

Publisher : International Journal of Mechanical Engineering

Year : 2015

Twitter Sentiment Analysis on E-commerce Websites in India

Cite this Research Publication : Jhaveri, Devang & Chaudhari, Aunsh & Kurup, Lakshmi, "Twitter Sentiment Analysis on E-commerce Websites in India," International Journal of Computer Applications, 127. 14-18. 10.5120/ijca2015906730. (2015)

Publisher : International Journal of Computer Applications

Conference Paper

Year : 2023

Educational Chatbot on Data Structures and Algorithms for the Visually Impaired

Cite this Research Publication : V. Panchal and L. Kurup, "Educational chatbot on Data Structures and Algorithms for the visually impaired," 2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE), Navi Mumbai, India, 2023, pp. 1-6, doi: 10.1109/ICNTE56631.2023.10146702.

Publisher : IEEE

Year : 2023

Emotion Prediction of Comments in Twitch.Tv Livestream Environment

Cite this Research Publication : Chouhan, A., Nanda, D., Jain, J., Pattni, K., Kurup, L. (2023). "Emotion Prediction of Comments in Twitch.Tv Livestream Environment," In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-19-5224-1_40

Publisher : Springer

Year : 2019

An Attention-Based Approach to Text Summarization

Cite this Research Publication : Rudresh Panchal, Pagarkar, A., Kurup, L., "An Attention-Based Approach to Text Summarization," In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. 2019, DOI: https://doi.org/10.1007/978-981-13-1610-4_20

Publisher : Springer

Year : 2016

A review on student modeling approaches in ITS

Cite this Research Publication : L. D. Kurup, A. Joshi and N. Shekhokar, "A review on student modeling approaches in ITS," 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2016, pp. 2513-2517

Publisher : IEEE

Book Chapter

Year : 2020

Automated Question Generation and Answer Verification Using Visual Data

Cite this Research Publication : Shrey Nahar, Shreya Naik, Niti Shah, Saumya Shah, Lakshmi Kurup, "Automated Question Generation and Answer Verification Using Visual Data," In: Gunjan, V., Zurada, J., Raman, B., Gangadharan, G. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 885 . Springer, Cham, 2020. https://doi.org/10.1007/978-3-030-38445-6_8

Publisher : Springer

Research Interest
  • Natural Language Processing + Generative AI for Interactive Multilingual Chatbots
  • Federated Learning for Multi-Modal Medical Data
  • Explainable AI for Clinical Decision Support Systems
  • Using Data Analysis and Generative AI in Mental Health to analyze social media data for early detection of depression or suicidal ideation.
  • Developing predictive models that identify at-risk individuals based on digital biomarkers, such as sleep patterns and speech analysis.
  • AI in Education: Analyzing the impact of adaptive algorithms in Personal Tutoring
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