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Dr. Sreelekshmi V.

Assistant Professor, Department of Computer Science & Engineering, School of Computing, Amritapuri

Qualification: Ph. D.
sreelekshmiv@am.amrita.edu
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Research Interest: Medical Image Analysis, Deep Learning & Hybrid Architectures, Explainable AI in Healthcare, Multimodal Data Fusion, Computer-Aided Diagnosis (CAD) Systems
Date of Joining: 02/07/2025

Bio Publications
Bio

Dr. Sreelekshmi V. received her M. Tech. and Ph. D. degrees in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, India. She is currently serving as an Assistant Professor in the Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India. Her research interests include computer vision, medical image analysis, deep learning, and optimization problems.

Publications

Journal Article

Year : 2024

Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer

Cite this Research Publication : V. Sreelekshmi, K. Pavithran, Jyothisha J. Nair, Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/access.2024.3518612

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

SwinCNN: An Integrated Swin Transformer and CNN for Improved Breast Cancer Grade Classification

Cite this Research Publication : Sreelekshmi V,Pavithran K,Jyothisha J. Nair, SwinCNN: An Integrated Swin Transformer and CNN for Improved Breast Cancer Grade Classification, IEEE Access, 2024

Publisher : IEEE

Conference Proceedings

Year : 2024

Variational Auto encoders for Improved Breast Cancer Classification

Cite this Research Publication : Jyothisha J. Nair, V Sreelekshmi, Variational Auto encoders for Improved Breast Cancer Classification, Procedia Computer Science, 2024.

Publisher : Elsevier

Year : 2022

Ensemble Deep Learning Model for Breast Histopathology Image Classification

Cite this Research Publication : Aiswarya Venugopal, V. Sreelekshmi, Jyothisha J. Nair, Ensemble Deep Learning Model for Breast Histopathology Image Classification, 2022.

Publisher : Springer

Year : 2021

Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine

Cite this Research Publication : R. Priya, V. Sreelekshmi, Jyothisha J. Nair & G. Gopakumar, "Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine," In Advances in Computing and Network Communications: Proceedings of CoCoNet 2021, Lecture Notes in Electrical Engineering, Volume 2 (pp. 435-448). Springer Singapore.

Publisher : Springer

Year : 2017

Dynamic vehicle routing for solid waste management

Cite this Research Publication : V. Sreelekshmi and Jyothisha J. Nair, "Dynamic vehicle routing for solid waste management," IEEE Region 10 Symposium (TENSYMP), Cochin, India, 2017, pp. 1-5, doi: 10.1109/TENCONSpring.2017.8070008.

Publisher : IEEE

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