Ananya Ghosh

About

Ananya Ghosh is currently in the final year of Integrated M.Tech. degree in Computer Science and Engineering and is a Researcher at Vellore Institute of Technology, Vellore, India. She is also a Software Engineering Intern at Qualcomm. She is a Research Scholar immersed in the realms of Generative Artificial Intelligence (AI), Prompt Engineering, Machine Learning (ML) and Deep Learning (DL) and has 7 international research paper and conference paper publications. She has earned esteemed titles as a Microsoft Learn Student Ambassador (Beta) and IBM Z Ambassador, amplifying her influence in the tech community. Her earlier achievements extend to internships at prestigious organizations, such as HSSERisk, DRDO, and SocialWell. Her dedication to community development is evident through her roles as the Technical Head of the IEEE Women in Engineering, VIT, Vellore Chapter. She has been awarded the esteemed MITACS Globalink Research Internship at The University of British Columbia, Canada. She has also been awarded the Merit Scholarship and Special Achievers Award from VIT Vellore for her outstanding academic performance and contribution to national competitions.

Employment

• Defence Research and Development Organisation Project Intern
  2023 - 2023
• Vellore Institute of Technology University Undergraduate Researcher
  2022 - Present
• SocialWell AI/ML Intern
  2022 - 2023
• Qualcomm (India) Intern

Education

• Vellore Institute of Technology University Integrated MTech
  2020 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Decentralized Machine Learning: Federated Evolutionary Stochastic Gradient Descent Learning with Application on Marine Plastic Pollution Management
  2026 DOI: 10.1007/978-3-032-02949-2_22
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• Interactive augmented reality application using animal flashcards for education of children
  Interactive Learning Environments 2025 DOI: 10.1080/10494820.2025.2479163
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• DenseFed-PSO: Particle Swarm Optimization-Based DenseNet Federated Model in Alzheimer's Detection
  2025 DOI: 10.1007/978-981-97-2147-4_16
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• EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3553895
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• Enhancing Accessibility Through Machine Learning: A Review on Visual and Hearing Impairment Technologies
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3539081
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• Fuzzy Enhanced Kidney Tumor Detection: Integrating Machine Learning Operations for a Fusion of Twin Transferable Network and Weighted Ensemble Machine Learning Classifier
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3526272
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• FedADC: Federated Average Knowledge Distilled Mutual Conditional Learning (FedADC) for Waste Classification
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3462171
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• FedXAI-ISL: Explainable Artificial Intelligence-Based Federated Model in Recognition and Community Decentralized Learning of Indian Sign Language
  2024 DOI: 10.1007/978-981-97-3588-4_32
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• QueryMintAI: Multipurpose Multimodal Large Language Models for Personal Data
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3468996
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• DifEvoDenseFed: Differential Evolution Optimization Based DenseNet Federated Model in Alzheimer's detection
  2023 International Conference on Next Generation Electronics (NEleX) 2023 DOI: 10.1109/nelex59773.2023.10421357
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