Ananya Bhattacharjee

About

I am the kind of person who is flexible & dedicated, hard working, self-motivated, and full of positive attitude.
Highest Qualification: Ph.D. (NIT Silchar, Domain: Medical Imaging)
M.Tech: NERIST
Currently, I am working as an Assistant Professor in the AIML Department, Symbiosis Institute of Technology. I have implemented many machine learning and deep learning techniques in my research domain. I have published my work in high-impact factor journals too. Don't forget to check out my list of publications below. Looking forward to working on "Graph Neural Network"

Employment

• Symbiosis International University Assistant Professor
  2025 - Present
• Kumaraguru College of Technology Assistant Professor
  2025 - 2025
• National Institute Of Technology Silchar Ph.D. scholar
  2020 - 2025

Education

• NIT Silchar Ph.D.
  2020 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• PEDNet: Preprocessed Ensembled Deep Network for Diagnosis of Epilepsy Seizures Using EEG Image Representations
  2026 DOI: 10.1007/978-3-032-21704-2_17
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• Pulmonary nodule segmentation framework based on fine-tuned and pre-trained deep neural network using CT images
  IEEE Transactions on Radiation and Plasma Medical Sciences 2023 DOI: 10.1109/trpms.2023.3236719
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• A powerful Transfer learning technique for multiclass classification of lung cancer CT images
  2022 International Conference on Engineering and Emerging Technologies (ICEET) 2023 DOI: 10.1109/iceet56468.2022.10007294
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• Ada-GridRF: A Fast and Automated Adaptive Boost Based Grid Search Optimized Random Forest Ensemble model for Lung Cancer Detection
  Physical and Engineering Sciences in Medicine 2022 DOI: 10.1007/s13246-022-01150-2
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• A hybrid approach for lung cancer diagnosis using optimized random forest classification and K-means visualization algorithm
  Health and Technology 2022 DOI: 10.1007/s12553-022-00679-2
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• Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images
  2021 Advanced Communication Technologies and Signal Processing (ACTS) 2021 DOI: 10.1109/acts53447.2021.9708190
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• Neural network–based computer-aided lung cancer detection
  Research on Biomedical Engineering 2021 DOI: 10.1007/s42600-021-00173-0
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