Ajay Jaiswal, Ph.D.

Dr. (Mr.) Ajay Jaiswal, Ph.D.

Areas of Expertise

  • Pattern Recognition
  • Image Processing
  • Machine Learning

Ajay Jaiswal, Ph.D.

Assistant Professor

We can teach from our experience, but we cannot teach experience.

Biography

Dr. Ajay Jaiswal is currently serving as an Assistant Professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is co-editor of two books/Journals and co-author of several research publications in International Journals and conference proceedings. He has completed an interdisciplinary project titled " Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is a recipient of the best teacher award from the Government of NCT of Delhi. He has more than nineteen years of teaching experience. Currently he is working as Co-PI on the major project titles “Increasing the impact of Government welfare policies for social and financial inclusion through technological integration in India” awarded by Indian Council of Social Science Research (ICSSR).

Education

  • Ph.D. in Computer Science, Jawaharlal Nehru University, Delhi
  • M. Tech. in Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar
  • M.Sc. in Physics, University of Roorkee ( now IIT Roorkee), Roorkee

Publications

  • Ajay Jaiswal, Nitin Kumar, R. K. Agrawal, 2015. Analysis and Evaluation of Regression Methods for Facial Pose Classification, Int. Journal of Applied pattern recognition, vol. 2, issue 1, pp 24-45.
  • Nitin Kumar, R. K. Agrawal, Ajay Jaiswal, 2016. Incremental and Decremental Nonparametric Discreminant Analysis for Face Recognition. Computing and Informatics, Vol. 35(5), pp 1231-1248
  • Nitin Kumar, M. Singh, M.C. Govil, E.S. Pilli, Ajay Jaiswal, 2016. Salient Object Detection in Noisy Images. In: Khoury R., Drummond C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science, vol 9673. Springer, Cham
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