Dr. Debbrota Paul Chowdhury

About

Dr. Debbrota Paul Chowdhury is currently working as an Assistant Professor in the Department of Computer Science and Engineering at National Institute of Technology Silchar, Assam. He also served as an Assistant Professor in the Department of Computer Science & Engineering at Sister Nivedita University (SNU), Kolkata, India, and at Kalinga Institute of Industrial Technology Bhubaneswar, India. He worked as an Adhoc faculty at the National Institute of Technology Warangal, India. He earned his Ph.D. degree in Computer Science & Engineering from the National Institute of Technology Rourkela, India in 2021. He completed his master’s in Computer Science & Engineering from the International Institute of Information Technology Bhubaneswar, India in 2016. He completed his bachelor’s degree in Computer Science and Engineering from the University Institute of Technology, Burdwan, India in 2014. His area of interest includes Biometric Security, Computer Vision, Machine Learning, Deep Learning, Image/Video Processing.

Employment

• National Institute Of Technology Silchar Assistant Professor
  2023 - Present

Education

• National Institute of Technology Rourkela Ph.D.
  2016 - 2022
• International Institute of Information Technology Bhubaneswar M.Tech
  2014 - 2016
• University Institute of Technology Burdwan B.E
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Privacy Preserving Ear Recognition System Using Transfer Learning in Industry 4.0
  IEEE Transactions on Industrial Informatics 2022 DOI: 10.1109/tii.2022.3196343
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• Lip as biometric and beyond: a survey
  Multimedia Tools and Applications 2021 DOI: 10.1007/s11042-021-11613-5
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• Person Authentication Based on Biometric Traits Using Machine Learning Techniques
  IoT Security Paradigms and Applications 2020
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• Semantic ear feature reduction for source camera identification
  Multimedia Tools and Applications 2020 DOI: 10.1007/s11042-019-7665-6
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• Wavelet energy feature based source camera identification for ear biometric images
  Pattern Recognition Letters 2020 DOI: 10.1016/j.patrec.2018.10.009
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• A digital scrambling method based on balancing numbers
  Turkish World Mathematical Society Journal of Applied and Engineering Mathematics 2019
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• The Unconstrained Ear Recognition Challenge 2019
  2019 International Conference on Biometrics, ICB 2019 2019 DOI: 10.1109/ICB45273.2019.8987337
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• On Applicability of Tunable Filter Bank Based Feature for Ear Biometrics: A Study from Constrained to Unconstrained
  Journal of Medical Systems 2018 DOI: 10.1007/s10916-017-0855-8
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