Pankaj Wasnik

1

Pankaj Wasnik

Ph.D. started in: 2016
Year of graduation: 2019
COINS consortium member: Norwegian University of Science and Technology
Supervised by: Christoph Busch, Raghavendra Ramachandra
Links: CristinDBLP
Research area: Authentication and Biometrics
Project title: Presentation Attack Detection for Smartphone Based Biometric Authentication System
Project description: Ph.D. research is in the domain of Presentation Attack Detection (PAD) for biometric authentication System on Smartphone. This work mainly concentrates on formulating a robust and accurate PAD framework which can address new evolving presentation attacks. This study shall investigate the new presentation attacks and artefacts. New algorithms will be developed to provide the countermeasures to these type of attacks which will improve the overall recognition performance. As Biometrics is one of the important vertical in Information Security, I would like to become a student member of COINS.

Publications:

  1. Raghavendra Ramachandra, Sushma Venkatesh, Kiran Bylappa Raja, Sushil Bhattacharjee, Pankaj Shivdayal Wasnik, Sebastien Marcel, Christoph Busch (2019). Custom Silicone Face Masks: Vulnerability of Commercial Face Recognition Systems and Presentation Attack Detection
  2. Adam Szekeres, Pankaj Shivdayal Wasnik, Einar Arthur Snekkenes (2019). Using Demographic Features for the Prediction of Basic Human Values Underlying Stakeholder Motivation
  3. Pankaj Shivdayal Wasnik, Raghavendra Ramachandra, Kiran Bylappa Raja, Christoph Busch (2019). An Empirical Evaluation of Deep Architectures on Generalization of Smartphone-based Face Image Quality Assessment
  4. Ali Khodabakhsh, Raghavendra Ramachandra, Kiran Bylappa Raja, Pankaj Shivdayal Wasnik, Christoph Busch (2018). Fake Face Detection Methods: Can They Be Generalized?
  5. Raghavendra Ramachandra, Sushma Venkatesh, Kiran Bylappa Raja, Pankaj Shivdayal Wasnik, Martin Stokkenes, Christoph Busch (2018). Fusion of Multi-Scale Local Phase Quantization Features for Face Presentation Attack Detection
  6. Jag Mohan Singh, Pankaj Shivdayal Wasnik, Raghavendra Ramachandra (2018). Hessian-based Robust Ray-Tracing of Implicit Surfaces on GPU
  7. Tommy Arild Garden Thorsen, Pankaj Shivdayal Wasnik, Christoph Busch, Raghavendra Ramachandra, Kiran Bylappa Raja (2018). Assessing Face Image Quality with LSTMs
  8. Pankaj Shivdayal Wasnik, Raghavendra Ramachandra, Kiran Bylappa Raja, Christoph Busch (2018). Subjective Logic Based Score Level Fusion: Combining Faces and Fingerprints
  9. Pankaj Shivdayal Wasnik, Raghavendra Ramachandra, Martin Stokkenes, Kiran B. Raja, Christoph Busch (2018). Improved Fingerphoto Verification System Using Multi-scale Second Order Local Structures
  10. Pankaj Shivdayal Wasnik, Martin Stokkenes, Mihkal Dunfjeld, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch (2018). Baseline Evaluation of Smartphone based Finger-photo Verification System
  11. Kiran Bylappa Raja, Pankaj Shivdayal Wasnik, Raghavendra Ramachandra, Christoph Busch (2017). Robust Face Presentation Attack Detection On Smartphones: An Approach Based on Variable Focus
  12. Pankaj Shivdayal Wasnik, Kiran Bylappa Raja, Raghavendra Ramachandra, Christoph Busch (2017). Assessing Face Image Quality for Smartphone based Face Recognition System
  13. Pankaj Shivdayal Wasnik, Kiran Bylappa Raja, Raghavendra Ramachandra, Christoph Busch (2017). Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones
  14. Pankaj Shivdayal Wasnik, Katharina Schäfer, Raghavendra Ramachandra, Christoph Busch, Kiran Bylappa Raja (2017). Fusing Biometric Scores Using Subjective Logic for Gait Recognition on Smartphone
  15. Pankaj Shivdayal Wasnik, Kiran Bylappa Raja, Ramachandra Raghavendra, Christoph Busch (2016). Eye region based multibiometric fusion to mitigate the effects of body weight variations in face recognition
  16. Pankaj Shivdayal Wasnik, Kiran Raja, Raghavendra Ramachandra, Christoph Busch (2016). ‘Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones’
Events attended with COINS funding:
  1. COINS Finse winter school , Finse, Norway, 2016
  2. COINS Ph.D. student seminar, Bergen, Norway, 2016
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