Assistant Professor

Dr Dilip Kumar Vallabhadas

Department of Computer Science and Engineering

Interests

  • Biometric Security  
  • Computer Vision
  • Deep Learning.

Education

2010

Koneru Lakshmaiah College of Engineering
B.Tech

2013

National Institute of Technology Rourkela
M.Tech

2024

National Institute of Technology Warangal
PhD

Experience

  • April 2024 to November 2014 – Sr. Assistant Professor – Lakireddy Bali Reddy College of Engineering, Mylavaram.
  • June 2015 to December 2019- Assistant Professor - Andhra Loyola Institute of Engineering and Technology, Vijayawada.

Research Interest

  • Multimodal Template Protection Schemes that mainly uses Iris and Fingerprint
  • Various template protections like Cancelable Biometrics, Cryptography, Homomorphic Encryption
  • Using deep learning techniques for generating templates

Awards & Fellowships

  • 2011 – GATE – Qualified
  • 2012 – GATE – Qualified
  • 2015 – UGC-NET – Qualified as Assistant Professor
  • 2016 – UGC-NET – Qualified as Assistant Professor
  • 2017 – UGC-NET – Qualified as Assistant Professor
  • 2017 - Ratified as an Assistant Professor- JNTU Kakinada
  • 2018 – UGC-NET – Qualified as Assistant Professor
  • 2019 – UGC-NET – Qualified as JRF

Publications

Journals

  • Dilip Kumar Vallabhadas, Mulagala Sandhya,” Securing multimodal biometric template using local random projection and homomorphic encryption”, In Journal of Information Security and Applications 70 (2022): 103339.
  • Dilip Kumar Vallabhadas, Mulagala Sandhya, Dinesh Reddy, Dawala Satwika, and G Prasanth,” Biometric Template Protection Based on a Cancelable Convolutional Neural Network over Iris and Fingerprint”, In Biomedical Signal Processing and Control 91 (2024): 106006.
  • Dilip Kumar Vallabhadas, Mulagala Sandhya,” Cancelable bimodal shell using fingerprint and iris”, In Journal of Electronic Imaging 32.6 (2023): 063027-063027.
  • Dilip Kumar Vallabhadas, Mahesh Kumar Morampudi, Mulagala Sandhya, Priyansh Maheshwari, and Mohit Kadyan,” Cancelable scheme for bimodal biometric authentication”, In Journal of Electronic Imaging 32, no. 1 (2023): 013027-013027.
  • Dilip Kumar Vallabhadas, Sandhya Mulagala, and Shubham Rathod,” Revocable iris templates using partial sort and randomized look-up table mapping.”, In International Journal of Biometrics 15.1 (2023): 21-39.
  • In Conference Proceedings
  • Vallabhadas Dilip Kumar, Mulagala Sandhya, Soumyadip Sarkar, and Y. Rupesh Chandra, Multimodal biometric authentication using Fully Homomorphic Encryption.”, In 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS) pp. 1-6. IEEE, 2023.
  • Dilip Kumar Vallabhadas, Sandhya Mulagala, Tanmay Dhopavkar, Jayaprakash Palla, Mulagala Dileep, and Sriramulu Bojjagani.,” Leukocyte Subtyping Using Convolutional Neural Networks for Enhanced Disease Prediction.”, In Advanced Machine Intelligence and Signal Processing, pp. 1-17. Singapore: Springer Nature Singapore,2022.
  • Dilip Kumar Vallabhadas, Sandhya Mulagala, Ujas Rudani, Mulagala Dileep, Sriramulu Bojjagani, Sravya Pallantla, and P. D. S. S. Lakshmi Kumari.,” Deep Neural Networks with Multi-class SVM for Recognition of Cross-Spectral Iris Images.”, In Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, SoMMA 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers 2, pp. 29-41. Springer Singapore, 2021.
  • Vallabhadas Dilip Kumar, Sandhya Mulagala, Y. Sreenivasa Rao, Sahoo Biswajeet, and Maurya Anup Kumar.,” A score-level fusion method for protecting fingerprint and palmprint templates.”, In Security and Privacy: Select Proceedings of ICSP 2020, pp. 1-11. Springer Singapore, 2021.

Contact Details

  • E-mail id:dilipkumar.v@srmap.edu.in
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