Dr. Malathy Jawahar

About

Dr.Malathy Jawahar received a B.E degree from Thiagarajar College of Engineering, Madurai, India, in Computer Science and Engineering, M.S, and a Ph.D. degree from Anna University, Chennai, India. She has around 25 years of R&D experience and is currently working as Senior Principal Scientist at Central Leather Research Institute, Chennai. Her research area includes a vision-based inspection system, image processing, pattern recognition, deep learning, artificial intelligence, and big data analysis. She has published around 70 publications in various International Journals and Conferences. Received the Outstanding Young Scientist award at Asian International Conference on Leather Science and Technology, Taiwan, in 2012. IEEE India Council 2016 awarded the best paper for “Compression of Leather images for Automatic leather grading system using multiwavelet” for the International Conference on Computational Intelligence and Computing Research. IEEE India Council 2014 awarded the best paper for ‘Leather Texture Classification using Wavelet Feature Extraction Technique’ contributed to International Conference on Computational Intelligence and Computing Research.

Employment

• CSIR-Central Leather Research Institute Senior Principal Scientist

Education

• Anna University, Chennai

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• LeaDeiT: data-efficient image transformer with knowledge distillation for leather species identification
  Complex & Intelligent Systems 2026 DOI: 10.1007/s40747-026-02431-z
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• LBPMobileNet-based novel and simple leather image classification method
  Neural Computing and Applications 2025 DOI: 10.1007/s00521-024-10745-7
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• FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2024.106037
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• E-voting system using cloud-based hybrid blockchain technology
  Journal of Safety Science and Resilience 2024 DOI: 10.1016/j.jnlssr.2024.01.002
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• Learning species-definite features from digital microscopic leather images
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.119971
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• ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2022.105894
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• Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images
  International Journal of E-Health and Medical Communications 2021 DOI: 10.4018/IJEHMC.20220701.oa2
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• A Machine Learning-Based Multi-feature Extraction Method for Leather Defect Classification
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4305-4_15
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• Diagnosis of covid-19 using optimized pca based local binary pattern features
  International Journal of Current Research and Review 2021 DOI: 10.31782/IJCRR.2021.SP171
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• Vision based inspection system for leather surface defect detection using fast convergence particle swarm optimization ensemble classifier approach
  Multimedia Tools and Applications 2021 DOI: 10.1007/s11042-020-09727-3
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