Dr. Smritilekha Das

About

Dr. Smritilekha Das, earned her Doctor of Philosophy (Ph.D) from KL University, Vijayawada, AP, Master Degree (M.E.) in Computer Science and Engineering with the Specialization of Software Engineering from Jadavpur University, Kolkata, Bachelor in Technology (B.Tech) in Computer Science from Govt. College of Engineering and Ceramic Technology, Kolkata, West Bengal. She is currently working as an Assistant Professor in the Department of Computer Science and Engineering, KL University, Andhra Pradesh.

She has more than 12 years of Teaching and Research experience. She has 22 research publications in reputed journals and conferences, which are indexed by SCIE and SCOPUS also. She has published 4 book-chapters in international publishers and 2 Indian patents. Her research interests are in Machine Learning, Deep Learning, Biomedical Image processing.

Employment

• KL University Assistant Professor
  2020 - Present

Education

• Jadavpur University Master in Engineering
  2011 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Blockchain data with Ransomware detection based on deep feed forward Maxout network
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.110538
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• Detection of Peripheral Blood Smear Malarial Parasitic Microscopic Images Utilizing Convolutional Neural Network
  Generative Artificial Intelligence 2025 DOI: 10.1002/9781394209835.ch8
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• A novel multigrade classification in FL using brain MRI images based on FHAT_EfficientNet
  International Journal of Ad Hoc and Ubiquitous Computing 2025 DOI: 10.1504/ijahuc.2025.147753
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• Advanced Brain Tumor Classification with UNet Segmentation and Deep Maxout Classifier Techniques
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-6348-4_26
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• Incremental learning for acute lymphoblastic leukemia classification based on hybrid deep learning using blood smear image
  Computational Biology and Chemistry 2025 DOI: 10.1016/j.compbiolchem.2025.108456
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• Optimisation with deep learning for leukaemia classification in federated learning
  International Journal of Bioinformatics Research and Applications 2024 DOI: 10.1504/ijbra.2024.142549
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• Leukemia classification using LeNet with hybrid Tangent Sand Cat Optimization
  International Journal for Multiscale Computational Engineering 2024 DOI: 10.1615/intjmultcompeng.2024051353
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• Deep learning enabled fractional fire hawk’s hunter optimization for leukemia segmentation and detection using blood smear image
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-19422-2
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• EGDP based feature extraction and deep convolutional belief network for brain tumor detection using MRI image
  Network: Computation in Neural Systems 2024 DOI: 10.1080/0954898x.2024.2389248
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• M-Net based stacked autoencoder for ransomware detection using blockchain data
  Applied Soft Computing 2024 DOI: 10.1016/j.asoc.2024.112460
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