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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
ORCID ID
Google Scholar Profile
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Bio Publications Experience Research Interest Funded Projects Invited Talks Roles Courses Taught
Bio

Dr. Lakshmi Mohandas is currently serving as an Associate Professor at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Delhi NCR campus. Prior to this, she held the position of Head of the Department of Artificial Intelligence and Data Science (AI&DS) at a premier institute under Mumbai University, where she was instrumental in leading academic strategy, fostering interdisciplinary research, and shaping innovative curricula aligned with global AI trends.

Publications

Journal Article

Year : 2024

Traditional Indian Food Classification Using Shallow Convolutional Neural Network

Cite this Research Publication : Shah, B. ., Kanani, P. ., Joshi, P. ., Pandya, G. ., Kulkarni, D. ., Patil, N. ., & Kurup, L. . (2024). Traditional Indian Food Classification Using Shallow Convolutional Neural Network. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 769

Year : 2024

Important Feature Recognition for Credit Card Recommendation System using Predictive Modelling

Cite this Research Publication : Desai, N. ., Kothari, N. ., Kanani, P. ., Shah, B. ., Kurup, L. ., Kale, D. ., & Raichada, N. . (2024). Important Feature Recognition for Credit Card Recommendation System using Predictive Modelling. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 752–759.

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

Year : 2014

Big data challenges: data analysis perspective

Cite this Research Publication : Riya Lodha, Harshil Jain, Big data challenges: data analysis perspective, Int J Current Eng Technol, 2014

Year : 2013

Optimization of FCFS Based Resource Provisioning Algorithm for Cloud Computing

Cite this Research Publication : Aditya Marphatia, Aditi Muhnot, Tanveer Sachdeva, Esha Shukla, Lakshmi Kurup, Optimization of FCFS Based Resource Provisioning Algorithm for Cloud Computing, IOSR Journal of Computer Engineering, IOSR Journals, 2013, https://doi.org/10.9790/0661-1050105

Publisher : IOSR Journals

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 : 2020

Stance Detection Using Transformer Architectures and Temporal Convolutional Networks

Cite this Research Publication : Kushal Jain, Fenil Doshi, Lakshmi Kurup, Stance Detection Using Transformer Architectures and Temporal Convolutional Networks, Advances in Intelligent Systems and Computing, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-4409-5_40

Publisher : Springer Singapore

Year : 2020

YOLO Based Recognition of Indian License Plates

Cite this Research Publication : Jimit Gandhi, Purvil Jain, Lakshmi Kurup, YOLO Based Recognition of Indian License Plates, Algorithms for Intelligent Systems, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-3242-9_39

Publisher : Springer Singapore

Year : 2020

A Roadmap to Realization Approaches in Natural Language Generation

Cite this Research Publication : Lakshmi Kurup, Meera Narvekar, A Roadmap to Realization Approaches in Natural Language Generation, Advances in Intelligent Systems and Computing, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-1518-7_18

Publisher : Springer Singapore

Year : 2019

Anempirical Analysis of Classification Models for Detection of Fake News Articles

Cite this Research Publication : Hrishikesh Telang, Shreya More, Yatri Modi, Lakshmi Kurup, Anempirical Analysis of Classification Models for Detection of Fake News Articles, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), IEEE, 2019, https://doi.org/10.1109/icecct.2019.8869504

Publisher : IEEE

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 roadmap to auto story generation

Cite this Research Publication : Anushree Mehta; Resham Gala, Lakshmi Kurup, A roadmap to auto story generation, [source], [publisher], 2016

Year : 2016

Voice driven dynamic generation of webpages

Cite this Research Publication : Sahil Modak, Sagar Vikmani, Suril Shah, Lakshmi Kurup, Voice driven dynamic generation of webpages, 2016 International Conference on Computing Communication Control and automation (ICCUBEA), IEEE, 2016, https://doi.org/10.1109/iccubea.2016.7860153

Publisher : IEEE

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

Year : 2015

Artificial Intelligence Techniques for Network Intrusion Detection

Cite this Research Publication : Karan Napanda, Harsh Shah, Lakshmi Kurup, Artificial intelligence techniques for network intrusion detection, IJERT, 2015

Year : 2015

Using Ontologies to Model Attacks in an Internet based Mobile Ad-hoc Network (iMANET)

Cite this Research Publication : Lakshmi kurup, Using ontologies to model attacks in an Internet based mobile ad-hoc network (iMANET), IJCA, 2015

Year : 2014

Comparative Study of Attacks on Security Protocols

Cite this Research Publication : Lakshmi Kurup, Comparative Study of Attacks on Security Protocols, IJARCE, 2014

Year : 2011

Critical Variable Partitioning for Reconfiguration of Mobile Devices

Cite this Research Publication : Lakshmi Kurup, Critical Variable Partitioning for Reconfiguration of Mobile Devices, ICTSM, 2011

Book Chapter

Year : 2020

Language Models, Advanced Computing Technologies and Applications

Cite this Research Publication : Keval Nagda, Anirudh Mukherjee, Milind Shah, Pratik Mulchandani, Lakshmi Kurup, Advanced Computing Technologies and Applications: Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020

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

Experience

Professional Experience

  • Associate Professor (Head, Dept. of AI & DS),Mumbai University (2009-2024)
  • Remote Consultant, Maple Tech Space Pvt. Ltd., since August 2020
  • Lecturer, KJ Somaiya Polytechnic, Dec 2007 – Jun 2009
  • Software Engineer, Patni Computer Systems, Jan 2004 – Jun 2007

Professional Achievements

  • Previously, Department Head, AI & Data Science, DJ Sanghvi College of Engineering(Affliated to Mumbai University)
  • Published over 40 peer-reviewed papers, book chapters, and conference proceedings
  • Advanced Certification in Data Science and AI from IIT Madras (2023)
  • Cisco Certifies Network Associate
  • Delivered national workshops and pre-conference tutorials in NLP and AI
  • Mentored multiple award-winning student projects

Professional Activities

  • Reviewer for various scopus indexed Journals
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
Funded Projects
  • Research Grant from Mumbai University for the project on “Automated Question Generation and Answer Verification Using Visual Data”
Invited Talks
  • Chairperson-Artificial intelligence & Digital health in the management of alcohol related liver disease, Conference on Alcohol related Liver Disease – Current and Future Perspectives, Amrita Hospital
Roles

Administrative Roles

  • Phd Co-ordinator
  • Class Advisor

Ph. D. Guidance/ Co-Guidance

  • Use of Multimodal AI for the Early Detection and Clinical Decision Support for Optimized Pharmacotherapies in Neonatal Bronchopulmonary Dysplasia (BPD)
  • Personalized Artificial Intelligence for Cognitive Load Management and Attention Regulation in Learning Systems
  • AI driven multimodal framework for prognosis and personalised treatment of ovarian cancer USING MULTI-OMICS DATA
  • Small Language Models for Multi Modal Data in Health Care
Courses Taught
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Adv. Data Analuysis and Visualisation
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