Ravinder Kaur

Assistant Professor-I

Specialization

Machine learning, Image Processing

Email

ravinder.kaur@thapar.edu

Specialization

Machine learning, Image Processing

Email

ravinder.kaur@thapar.edu

Biography

Dr. Ravinder Kaur  is an Assistant Professor in Thapar Institute of Engineering and Technology, Patiala, Punjab, India. She received her PhD from UIET Panjab University, Chandigarh India. She received her Undergraduate Degree with Distinction in 2011, received her Postgraduate Degree (ME in Information Security) with Distinction in 2013 from PEC University of Technology, Chandigarh. She has Published research papers in various renowned International conferences and SCI indexed journals including Biomedical Signal Processing and Control (Elsevier), Computers and Electrical Engineering (Elsevier), Machine Vision and Applications (Springer), Multimedia Tools and Applications and many others. She has published numerous papers in refereed international journals and conference proceedings with a good number of citations in Google Scholar. She is also serving as a Reviewer for several reputed SCI journals which includes Computer methods and program in Biomedicine, Elsevier, IEEE Access and Computational and Mathematical Methods in Medicine. She has been awarded with UGC NET and CSIR NET fellowship. She has also been awarded with different research awards for publishing her research work in SCI Journals. She is also a member of renowned organizations including ISTE, IAENG and CSTA.

Education

  1. Ph.D. in Computer Science and Engineering from UIET, Panjab University, Chandigarh  in 2020
  2. M. Tech in Computer Science and Engineering from PEC University of Technology, Chandigarh in 2013
  3. B.E. in Information Technology from PTU Jalandhar in 2011

Experience: Total Teaching Experience 2.5 years

  1. From March 2023 - Present 2023: Assistant Professor, Computer Science and Engineering Department, Thapar University, Patiala.
  2. From June 2021 - February 2023: Assistant Professor, Computer Science and Engineering Department, Chandigarh University, Mohali, Punjab.
  3. From July 2013- April 2014: Assistant Professor, Computer Science and Engineering Department, Lovely Professional University, Jalandhar, Punjab.

Teaching Interests:

  1. Image Processing
  2. Machine Learning
  3. Operating System

Research Interest:

  1. Medical Imaging
  2. Machine Learning

Service activities (within and outside of the institution)

  • Internship Coordinator for the EEC branch

Publications:

Journals (In IEEE Format)

  1. Ravinder Kaur, Mamta Juneja, “A hybrid approach for enhancement of abdominal CT images”, Computers and Electrical Engineering, 102, 2022, pp:108291. (SCI, Impact factor: 4.1)
  2. Sonam Khattar, and Ravinder Kaur, "Computer assisted diagnosis of skin cancer: A survey and future recommendations." , Computers and Electrical Engineering, 104, 2022, pp: 108431. (SCI, Impact factor: 4.1)
  3. Ravinder Kaur, Mamta Juneja, AK Mandal, “Machine learning based quantitative texture analysis of CT images for diagnosis of renal lesions”, Biomedical Signal Processing and Control, 64, 2021, pp:102311. (SCI,  Impact factor: 5.1)
  4. Mamta Juneja,Poojita Garg, Ravinder Kaur et al., “ A review on cephalometric landmark detection techniques”, Biomedical Signal Processing and Control, Elsevier, 66, 2021, pp:102486.( (SCI,  Impact factor: 5.1))
  5. Mamta Juneja, Ridhima Singla, Sumindar Kaur Saini, Ravinder Kaur, Divya Bajaj, Prashant Jindal, “OCLU-NET for occlusal classification of 3D dental models, Machine Vision and Applications”, 31, 2020, pp:1-12. (SCI, Impact factor: 2.9)
  6. Sumindar Kaur Saini, Vasudha Bansal , Ravinder Kaur, Mamta Juneja, “ColpoNet for automated cervical cancer screening using colposcopy images”, Machine Vision and Applications,3, 2020, pp:1-5. (SCI, Impact factor: 2.9)
  7. Ravinder Kaur, Mamta Juneja, AK Mandal, “An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions”, Medical & biological engineering & computing, 58, 2019, pp:1-24. (SCI, Impact factor: 3.1)
  8. Ravinder Kaur, Mamta Juneja, and A. K. Mandal, "A comprehensive review of denoising techniques for abdominal CT images", Multimedia Tools and Applications, ,77, 2018, pp: 1-36 (SCI, Impact factor: 2.5)
  9. Ravinder Kaur, Mamta Juneja, “A Survey on Kidney segmentation techniques in CT images”, Current Medical Imaging Reviews, 14, 2018, pp: 238-250. (SCI, Impact factor: 1.5)
  10. Ravinder Kaur, Mamta Juneja, AK Mandal, “A hybrid edge-based technique for segmentation of renal lesions in CT images”, Multimedia Tools and Applications,78,2018, pp: 1-21 (SCI, Impact factor: 2.5)
  11. Ravinder Kaur, Mamta Juneja, AK Mandal, “Computer-aided diagnosis of renal lesions in CT images: A comprehensive survey and future prospects”, Computers & Electrical Engineering, 77, 2018, pp. 423-34. (SCI, Impact factor: 4.1)

Achievement, Awards and Recognitions

  1. Received Young Researcher Award from STEM Research Society Awards felicitation ceremony at University Institute of Technology (Himachal Pradesh University), Summerhill, Shimla.
  2. Received Research Award from UIET Panjab University for publishing paper titled ‘A survey of kidney Segmentation Techniques in CT images’ in SCI/SCIE indexed journal (2018).
  3. Received Research Award from UIET Panjab University for publishing paper titled ‘A hybrid edge-based technique for segmentation of renal lesions in CT images’ in SCI/SCIE indexed journal (2018).
  4. Received Research Award from UIET Panjab University for publishing paper titled ‘Computer – aided diagnosis of renal lesions in CT images: A comprehensive survey and future prospects’ SCI/SCIE indexed journal (2018).
  5. Received Research Award from UIET Panjab University for publishing paper titled “A comprehensive review of denoising technique for abdominal CT images in SCI/SCIE indexed journal (2018).
  6. Awarded with UGC MANF fellowship (2015).
  7. Received Best Reviewer award in International conference on Green computing and Engineering Technology 2015 Dubai. (25th to 26th July 2015).
  8. Awarded with CSIR JRF NET scholarship (2014).

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