Priyanka Das

About

Dr. Priyanka Das is a Data Scientist with HID Global. Her research area of interest includes biometrics, computer vision, data science and human-computer interaction. She received her doctoral degree in the Department of Electrical and Computer Engineering at Clarkson University, USA with a focus on iris biometrics. She completed her ME in Bioscience and Engineering from Jadavpur University, India in 2016 and her Bachelor's in Biomedical Engineering in 2014.

Employment

• HID Global Corp America Data Scientist
  2022 - Present
• Clarkson University Research Assistant
  2017 - 2022

Education

• Jadavpur University Master of Biomedical Engineering and Science

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Uniqueness of Iris Pattern Based on the Auto-Regressive Model
  Sensors 2024 DOI: 10.3390/s24092797
  +Save
• Empirical Assessment of End-to-End Iris Recognition System Capacity
  IEEE Transactions on Biometrics, Behavior, and Identity Science 2023 DOI: 10.1109/TBIOM.2023.3256894
  +Save
• Iris Recognition Performance in Children: A Longitudinal Study
  IEEE Transactions on Biometrics, Behavior, and Identity Science 2021 DOI: 10.1109/TBIOM.2021.3050094
  +Save
• Face Liveness Detection Competition (LivDet-Face)-2021
  IEEE International Joint Conference on Biometrics 2021 DOI: 10.1109/IJCB52358.2021.9484359
  +Save
• Analysis of Dilation in Children and its Impact on Iris Recognition
  IEEE International Joint Conference on Biometrics 2020
  +Save
• Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition
  IEEE International Joint Conference on Biometrics 2020 DOI: 10.1109/IJCB48548.2020.9304941
  +Save
• Longitudinal study of voice recognition in children
  PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG) 2020
  +Save
• Design and Development of Portable Galvanic Skin Response Acquisition and Analysis System
  INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL POWER AND INSTRUMENTATION (ICICPI) 2016 DOI: 10.1109/ICICPI.2016.7859688
  +Save
• Emotion Recognition employing ECG and GSR Signals as Markers of ANS
  Conference on Advances in Signal Processing (CASP) 2016 DOI: 10.1109/CASP.2016.7746134
  +Save
• Performance analysis of memory recollection and problem-solving cognitive processes using EEG signals
  International Journal of Biomedical Engineering and Technology 2015 DOI: 10.1504/IJBET.2015.073423
  +Save