Dr. Jaskirat Kaur

Specialization:

Biomedical Signal and Image Processing

Email:

jaskirat.kaur@thapar.edu

Contact No.

+919988167932

Lecturer

jaskirat.kaur@thapar.edu

Biography

Jaskirat Kaur has submitted Ph.D in Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. She has been presently working as a Lecturer in Electronics and Communication Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. She has done M.E. from University Institute of Engineering and Technology, Panjab University, Chandigarh. She has received her B.Tech degree from Punjab Technical University, Jalandhar, India. The author’s current area of research is medical image processing.

Education

  • Ph.D. (Thapar Institute of Engineering and Technology) in Biomedical Image and Signal Processing
  • M. Tech in Electronics and Communication Engineering, UIET, Panjab University, Chnadigarh First class (82%)
  • B.Tech. in Electronics and Communication Engineering / P.T.U. Jalandhar / First class (87%)

Experience: Total Teaching Experience 5 years 6 months

  • July 2018 – Present: Lecturer, Electronics and Communication Engineering Department, Thapar Institute of Engineering and Technology, Patiala.
  • August 2013 – April 2018: Assistant Professor, Electronics and Communication Engineering Department, Chandigarh College of Engineering and Technology, Panjab University, Chandigarh.

Teaching Interests:

  • Digital Electronics
  • Signals and Systems
  • Control Systems
  • Network Theory
  • Analog Electronics

Research Interest:

  • Biomedical signal processing
  • Retinal image processing

Publications:

Journals

  1. J. Kaur, D. Mittal, “A generalized method for the detection of vascular structure in pathological retinal images,” Biocybernetics and Biomedical Engineering, vol. 15, no. 1, pp. 184-200, 2017. https://doi.org/10.1016/j.bbe.2016.09.002 Publisher: Elsevier Impact factor: 1.374
  2. J. Kaur, D. Mittal, “A generalized method for the segmentation of exudates from pathological retinal fundus images,” Biocybernetics and Biomedical Engineering, vol. 38, no. 1, pp. 27-53, 2018. https://doi.org/10.1016/j.bbe.2017.10.003 Publisher: Elsevier Impact factor: 1.374 .
  3. J. Kaur, D. Mittal, “Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid,” Biocybernetics and Biomedical Engineering, vol. 38, no. 3, pp. 708-732, 2018. https://doi.org/10.1016/j.bbe.2018.05.006 Publisher: Elsevier Impact factor: 1.374

Achievement, Awards and Recognitions

  • Gold Medalist in B Tech, First in Whole University
  • Gold Medalist in M Tech, First in Panjab University

Message to Students & Community

All truths are easy to understand once they are discovered; the point is to discover them. GALILEO GALILEI