Grade "A+" Accredited by NAAC with a CGPA of 3.46
Placements
Grade "A+" Accredited by NAAC with a CGPA of 3.46
Placements

Onkar Singh, Ph.D.

Mr. Onkar Singh, M. Phil.

Areas of Expertise

  • Cancelable Biometrics
  • Pattern Recognition
  • Machine Learning
Detailed Resume

Onkar Singh, Ph.D.

Associate Professor

If you can’t explain it simply, you don’t understand it well enough. –Albert Einstein

Biography

Dr. Onkar Singh has been serving at the college since 2009 and is currently an Associate Professor in the Department of Computer Science at Shaheed Sukhdev College of Business Studies, University of Delhi. He earned his Ph.D. in Cancelable Biometrics from the Department of Computer Science at the University of Delhi and qualified for the UGC-NET with a Junior Research Fellowship (JRF) in Computer Science and Applications in June 2012. His research interests include Machine Learning and Biometrics, and he has published several research papers in reputed peer-reviewed SCIE- and Scopus-indexed journals, including work in the area of biometrics. He has actively participated in numerous Faculty Development Programs and International Conferences, contributing to both academic enrichment and professional development. In recognition of his dedication to teaching and his contribution to student learning, Dr. Singh received the “Best Teacher Award” for the academic year 2016–17 from the Government of NCT of Delhi.

Education

  • PhD Computer Science with the title “Hybrid Techniques for Generating Cancelable Biometric Templates” from the Department of Computer Science, University of Delhi, Delhi, 2025
  • UGC-NET with JRF in 2012
  • M. Phil. Computer Science, Watermarking Techniques for the Digital Images, The Global Open University, Nagaland, 2009
  • M. Sc. Computer Science, University of Delhi, Delhi, 2007
  • B. Sc. (H) Computer Science, PGDAV College, University of Delhi, Delhi, 2005

Publications

  • Onkar Singh, Ajay Jaiswal, and Naveen Kumar. (2025). Real-numbered singular matrix transformation for non-invertible and cancelable biometric templates. Applied Intelligence, 55(10). [SCIE Indexed, Impact Factor: 3.5] https://doi.org/10.1007/s10489‑025‑06534‑x
  • Onkar Singh, Ajay Jaiswal, Nitin Kumar, and Naveen Kumar. (2024). Random permutation-based linear regression for cancelable biometrics. Expert Systems, 42 (2). [SCIE Indexed, Impact Factor: 3.0] https://doi.org/10.1111/exsy.13652
  • Onkar Singh, Ajay Jaiswal, Nitin Kumar, and Naveen Kumar. “A Novel Boolean Approach for Cancelable Biometric Template Generation.” International Journal of Biometrics. [ESCI Indexed, Impact Factor: 0.7] https://doi.org/10.1504/IJBM.2025.149667
  • Onkar Singh, Ajay Jaiswal, Nitin Kumar, and Naveen Kumar. (2025). Cancelable Biometric Template Generation using Eigenfeature Regularization. International Research Journal of Multidisciplinary Technovation, 7(1), Article 100. [SCOPUS Indexed] https://doi.org/10.54392/irjmt2512
  • Onkar Singh, Ajay Jaiswal, and Naveen Kumar. “Bitwise-XOR for Cancelable Biometric.” In International Conference on Advanced Informatics for Computing Research, pp. 359-372. Cham: Springer Nature Switzerland, 2023. [December 16-17, 2023] [Published] https://doi.org/10.1007/978‑3‑031‑84062‑3_29
  • Onkar Singh, Ajay Jaiswal, and Naveen Kumar. “A Performance Analysis of Random Permutation and Dimensionality Reduction-based Methods for Multimodal Cancelable Biometric.” In International Conference on Sustainable Business, Management, Innovation, and Technology 2025, [February 20-21, 2025] [Accepted for Publication]