A V Geetha

About

Geetha is an Assistant Professor in the Department of Artificial Intelligence and Data Analytics at Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research. She received herBachelor's degree in Electronics and Communication Engineering in 2006 and Master's degree in Computer Science and Engineering in 2020, both from Anna University, Chennai, India. She is currently pursuing her Ph.D. at Anna University, Chennai. Before transitioning into academia, she worked as a Test Lead at FIS Global Solutions, Chennai. Her research interests include machine learning, wireless networks, cryptographic systems, artificial intelligence, and soft computing.

Employment

• Sri Ramachandra Faculty of Engineering and Technology Assisstant Professor
  2025 - Present
• FIS Software Test Lead
  2010 - 2017
• Polaris Software Labs Software Engineering
  2006 - 2010

Education

• Madras Institute of Technology Master of Engineering
  2017 - 2020
• R.M.K. Engineering College Bachelor of Engineering
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Real-Time Medical Image Analysis for Multi-Cancer Screening using Optimized Extreme Learning Machines
  2026 DOI: 10.1201/9781003777458-16
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• Comparative Study of Deep CNN Backbones for CT-Based Bladder Cancer Subtype Classification: ResNet18 Versus EfficientNetB0 Versus ConvNeXt-Tiny
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-15410-1_21
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• Deep Learning-Enhanced Hybrid Metaheuristic Fusion Model for Biomedical Image Analysis
  2025 DOI: 10.4018/979-8-3373-0523-3.ch009
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• Deep Learning-Enhanced Hybrid Metaheuristic Fusion Model for Biomedical Image Analysis
  Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing 2025 DOI: 10.4018/979-8-3373-0523-3.ch009
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• Masked Attention-Driven Unified Multitask Representation Learning for Affective Computing
  2025 International Conference on Data Science and Business Systems Icdsbs 2025 2025 DOI: 10.1109/ICDSBS63635.2025.11031501
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• A comprehensive survey of drug–target interaction analysis in allopathy and siddha medicine
  Artificial Intelligence in Medicine 2024 DOI: 10.1016/j.artmed.2024.102986
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• Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions
  Information Fusion 2024 DOI: 10.1016/j.inffus.2023.102218
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• FusedNet: A Fusion of Time Series and Imaging Based Human Activity Recognition Using ResNet
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-5015-7_35
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• Deep learning-based object detection for computer vision tasks: A survey of methods and applications
  Intelligent Systems and Applications in Computer Vision 2023 DOI: 10.1201/9781003453406-4
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• PRISM: Predicting Student Performance using Integrated Similarity Modeling with Graph Convolutional Networks
  12th IEEE International Conference on Advanced Computing, ICoAC 2023 2023 DOI: 10.1109/ICoAC59537.2023.10249920
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