Malvika Ashok

About

Dr. Malvika Ashok, hold B.Tech degree in CSE from Punjab Technical University, and M.Tech from Maharishi Markandeshwar University, Ambala. She has done her Ph.D. from Shri Mata Vaishno Devi University, School of Computer Science & Engineering. She has qualified for UGC NET JRF. Her area of interest is Digital Image Processing, Medical Image Segmentation, Deep Learning, and Wireless Sensor Networks.

Employment

• Central University of Jammu Project Associate-I
  2024 - Present
• Shri Mata Vaishno Devi University Research Associate-I
  2023 - 2023
• Yogananda College of Engg. and Technology Assistant Professor
  2016 - 2020

Education

• Shri Mata Vaishno Devi University PH.D.
  2018 - 2023
• Maharishi Markandeshwar University, Mullana M.Tech
  2013 - 2015
• I. K. Gujral Punjab Technical University B.Tech
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A Novel Dual Feature Extraction using Fine-Tuned ResNet with GWO and Deep Dense Neural Network for Multiple Lung Disease Classification
  2024 DOI: 10.21203/rs.3.rs-3316471/v1
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• Software based medical/dental analysis
  Advances in Computers 2024 DOI: 10.1016/bs.adcom.2024.06.003
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• HCIU: Hybrid clustered inception‐based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images
  International Journal of Imaging Systems and Technology 2023 DOI: 10.1002/ima.22943
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• Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model.
  Journal of computational biology : a journal of computational molecular cell biology 2023 DOI: 10.1089/cmb.2022.0248
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• Comparative Study of TRANS - GAN Architecture for Bio-Medical Image Semantic Segmentation
  2022 7th International Conference on Communication and Electronics Systems (ICCES) 2022 DOI: 10.1109/icces54183.2022.9835992
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• A Systematic Review of the Techniques for the Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images
  Archives of Computational Methods in Engineering 2021 DOI: 10.1007/s11831-020-09497-z
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• Deep learning-based techniques for the automatic segmentation of organs in thoracic computed tomography images: A Comparative study
  2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) 2021 DOI: 10.1109/icais50930.2021.9396016
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• Performance Analysis of Routing Protocols under Security Issues through Use of NS2 Simulator
  International Journal of Computer Applications 2018 DOI: 10.5120/ijca2018916478
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• Modeling Trust Management among Cloud Entities
  International Journal of Advanced Research in Computer Science and Software Engineering 2017 DOI: 10.23956/ijarcsse/v7i3/0117
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• LOKS: Low-Overhead Forward and Backward Key Secrecy in WSNs
  International Journal of Computer Applications 2015 DOI: 10.5120/ijca2015906317
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