Dr. Kanwarpreet Kaur

Assistant Professor (Contractual-II)

Specialization

machine learning and artificial intelligence

Email

Specialization

machine learning and artificial intelligence

Email

1. Name – Kanwarpreet Kaur

2. Education –

Degree

Discipline

Year

College/University

Ph.D

Electronics and Communication Engineering

2021

Thapar Institute of Engineering and Technology, Punjab, India

M.Tech 

Electronics and Communication Engineering

2016

Guru Nanak Dev Engineering College, Punjab, India

B. Tech

Electronics and Communication Engineering

2014

Guru Nanak Dev Engineering College, Punjab, India

DIPLOMA/12th

Physics, Chemistry, Mathematics, English, Physical Education

2010

Guru Nanak Public School, Mullanpur, Punjab, India

Matric

English, Punjabi, Mathematics, Science, Social Science, Hindi

2008

Guru Nanak Public School, Mullanpur, Punjab, India

 

3. Academic experience – institution, rank, title (chair, coordinator, etc. if appropriate), when (e.g., 2002-2007), full-time or part-time

Position Held

Name of Organization

Period

Full-time or part-time

Nature of Work

From

To

Teaching Associate

Thapar Institute of Engineering and Technology

02-01-2017

30-06-2017

Full-time

Lab and Tutorials 

Teaching Associate

Thapar Institute of Engineering and Technology

01-08-2017

30-06-2018

Full-time

Lab and Tutorials 

Teaching Associate

Thapar Institute of Engineering and Technology

23-07-2018

30-06-2019

Full-time

Lab and Tutorials 

Teaching Associate

Thapar Institute of Engineering and Technology

22-07-2019

31-12-2019

Full-time

Lab and Tutorials 

Assistant Professor 

Chandigarh University 

25-02-2022 

27-11-2024

Full-time

Lectures, and Labs 

Assistant Professor Contractual-II

Thapar Institute of Engineering and Technology, Patiala

29-11-2024

Till now

Full-time

-

 

 

4. Current membership in professional organizations

  • IEEE Member
  • IAENG
  • CSTA

5. Honors and awards

  • Silver medal in M.Tech and B. Tech.
  • Qualified GATE in 2014 and 2017.
  • Qualified UGC-NET for Assistant Professor in January, 2018.
  • Recipient of PG Scholarship by MHRD.
  • Merit certificate in Punjabi by CBSE.
  • Topper of Sikh Religion Examination-2010.

6. Service activities (within and outside of the institution)

  • Member of organizing committee of RAECT-2013 and eVision’14, GNDEC, Ludhiana.
  • Club Incharge, Tech Wizard Club, Academic Unit-2, Chandigarh University, Gharuan.
  • Mentor of students of B. E. 1st year at Chandigarh University, Gharuan
  • Reviewer of MDPI, Springer, IEEE and Elsevier journals
  • Guest Editor of Advancements in Biosensors, Electromagnetic Antenna Design, and Machine Learning: Bridging Technologies for Next-Generation Applications, Journal of Electrical and Computer Engineering, Wiley

 

7. Briefly list the most important publications and presentations from the past five years –

Title, co-authors if any, where published and/or presented, date of publication/presentation

Journals:

  1. A. Gupta, V. Singh, S. Mahajan, Y. Malhotra, S. Mishra, K. Kaur, N. Jindal. “PCOS and Gyno Help: AI based App and Web application development” Journal of the Institution of Engineers (India): Series B (2024) (Scopus-Indexed)
  2. K. Kaur, N. Jindal, and K. Singh. “Riesz Fractional Derivative based Homomorphic Filtering for Image Enhancement” Multimedia Tools and Applications (2024) (Scopus-Indexed)
  3. A. Gupta, V. Singh, S. Mahajan, Y. Malhotra, S. Mishra, K. Kaur, and N. Jindal, “Web platform as path-guide for professional students – A one-stop solution” Journal of the Institution of Engineers (India): Series B (2024):1-9. (Scopus-Indexed)
  4. A. Gupta, K. Kaur, and N. Jindal, “Predicting galaxy morphology using attention-enhanced ResNets.” Earth Science Informatics (2024): 1-12. (SCI-Indexed, IF: 2.7)
  5. K. Kaur, M. Kumari, and S. Tuteja. “Riesz Fractional Derivative‑Based Approach for Texture Enhancement.” Journal of The Institution of Engineers (India): Series B (2024): 1-7. (Scopus-Indexed)
  6. R. Bansal, S. Mahajan, K. Aggarwal, D. Goyal, Y. Choudhary, K. Kaur, and N. Jindal. “Automatic Location Tracking and Health Monitoring by System Based on Mesh Network.” Journal of The Institution of Engineers (India): Series B 105, no. 2 (2024): 191-202. (Scopus-Indexed)
  7. K. Kaur, N. Jindal, and K. Singh. “QRFODD: Quaternion Riesz fractional order directional derivative for color image edge detection.” Signal Processing 212 (2023): 109170. (SCI-Indexed, IF: 3.4)
  8. P. Goyal, N. Goyal, P. Singh, N. Mittal, N. Jindal, and K. Kaur. “Pharmaceutical Drugs Expiry Date Tracking: A Visionary Approach.”  Concurrency and Computation: Practice and Experience 34, no. 28(2022): e7358. (SCI-Indexed, IF: 1.5)
  9. K. Kaur, N. Jindal, and K. Singh. “Fractional Fourier Transform based Riesz fractional derivative approach for edge detection and its application in image enhancement.” Signal Processing 180 (2021): 107852. (SCI-Indexed, IF: 3.4)
  10. K. Kaur, N. Jindal, and K. Singh. “Fractional derivative based Unsharp masking approach for enhancement of digital images.” Multimedia Tools and Applications 80, no. 3 (2021): 3645-3679. (SCI-Indexed, IF: 3.0)
  11. K. Kaur, N. Jindal, and K. Singh. “Riesz fractional order derivative in Fractional Fourier Transform domain: An insight.” Digital Signal Processing 93 (2019): 58-69. (SCI-Indexed, IF: 2.9)
  12. K. Kaur, N. Jindal, and K. Singh. “Improved homomorphic filtering using fractional derivatives for enhancement of low contrast and non-uniformly illuminated images.” Multimedia Tools and Applications 78, no. 19 (2019): 27891-27914. (SCI-Indexed, IF: 3.0)

 

 

8. Briefly list the most recent professional development activities

  • Statistics for Data Science, University of Waterloo
  • Foundations of Data Science, University of Waterloo
  • Courses related to AI and ML from LinkedIn and Coursera

 

 

 

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