Dr. Anterpreet Kaur Bedi

Assistant Professor

Specialization

Signal and Image Processing

Email

anterpreet.bedi@thapar.edu

Specialization

Signal and Image Processing

Email

anterpreet.bedi@thapar.edu

Biography

Anterpreet Kaur is currently working as an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala, Punjab. She is doctorate in Electronics and Communication Engineering at Dr. B. R. Ambedkar National Institute of Technology Jalandhar and pursued post-doctoral fellowship at Indian Institute of Technology, Ropar. Her research interests include Image and Video Processing, Biomedical Engineering, Precision Agriculture, Multimedia Processing, Machine Learning, Deep Learning, Neural Networks and Fuzzy Systems.

Education

  1. Ph.D. in Biomedical Image Processing from NIT Jalandhar in 2021
  2. M. Tech in Biomedical Image Processing from NIT Jalandhar in 2017
  3. B.E. in Electronics and Communication Engineering from NIT Jalandhar in 2014

Teaching Interests:

  1. Biomedical Image and Signal Processing
  1. Multimedia Processing
  2. Soft Computing

Research Interest:

  1. Biomedical Image and Signal Processing
  2. Multimedia Processing
  3. Precision agriculture
  4. Machine learning, Deep learning, Neural Networks and Fuzzy Systems

Honors and Awards

  • Gold Medalist in Dr. B. R. Ambedkar National Institute of Technology Jalandhar during M. Tech (2015-2017)

Service activities (within and outside of the institution)

  • UG Coordinator, Biomedical Engineering Department (Sept 6, 2023 till date), TIET Patiala
  • Project Semester Coordinator, Biomedical Engineering Department (Jan 1, 2023 till date), TIET Patiala
  • Vice President, Institution of Engineers (IEI) Society, TIET Patiala (April 11, 2023 till date)
  • Session Chair in First International Conference on Agriculture-Centric Computation (ICA), 2023, IIT Ropar

Publications: https://scholar.google.com/citations?user=ima3eJkAAAAJ&hl=en

Journals (In IEEE Format)

  1. Kumari, A. K. Bedi, and M. Saini, "Multimedia datasets for anomaly detection: a review," Multimedia Tools and Applications, 2023, pp. 1-51.
  2. Uikey, A. K. Bedi, P. Choudhary, W. T. Ooi, and M. Saini, "A highly robust deep learning technique for overlap detection using audio fingerprinting," Multimedia Tools and Applications, 2023, pp. 1-19.
  3. Manpreet Singh, Priyankar Choudhary, Anterpreet Kaur Bedi, Saurav Yadav, and Rishi Singh Chhabra. "Compressive Strength Estimation of Waste Marble Powder Incorporated Concrete Using Regression Modelling." Coatings 13, no. 1 (2022): 66. (SCI Impact Factor: 3.236)
  4. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Statistical Recursive Minimum Cross Entropy for Ultrasound Image Segmentation,” Multimedia Tools and Applications (2022) (DOI: 1007/s11042-022-12050-8) (SCI, Impact Factor: 2.757)
  5. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Mean Distance Local Binary Pattern: A Novel Technique for Color and Texture Image Retrieval for Liver Ultrasound Images,” Multimedia Tools and Applications (2021) (DOI: 10.1007/s11042-021-10758-7) (SCI, Impact Factor: 757)
  6. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Ultrasound Speckle Reduction using Adaptive Wavelet Thresholding,” Multidimensional Systems and Signal Processing (SCI, Impact Factor: 030)
  7. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Local Tetra-Directional Pattern- A New Texture Descriptor for Content-Based Image Retrieval,” Pattern Recognition and Image Analysis, vol. 30, no. 4, pp. 578-592, 2020 (SCOPUS)
  8. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, and Deepti Mittal. "Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain." The Computer Journal (2019) (SCI, Impact Factor: 494).

International Conferences:

  1. Prerna Bhalla, Ramesh Kumar Sunkaria, Aman Kamboj, Anterpreet Kaur Bedi, “Automatic Fetus Head Segmentation in Ultrasound Images by Attention Based Encoder Decoder Network,” in 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), IIT Kharagpur, India (2021) (IEEE)
  2. Abhinav Panwar, Ramesh Kumar Sunkaria, Anterpreet Kaur Bedi, “A Review on various Ultrasound Image Despeckling Techniques,” in AIJR Proceedings of International Conference on Women Researchers in Electronics and Computing (2021)
  3. Prerna Bhalla, Ramesh Kumar Sunkaria, Anterpreet Kaur Bedi, “Evolutionary Techniques on Fetal Head Segmentation,” in AIJR Proceedings of International Conference on Women Researchers in Electronics and Computing (2021)
  4. Aditya Singh, Ramesh Kumar Sunkaria, Anterpreet Kaur Bedi, “Variants of Local Binary Pattern: A Review,” in AIJR Proceedings of International Conference on Women Researchers in Electronics and Computing (2021)
  5. Pudu Yaswanth, Ramesh Kumar Sunkaria, Pawan Kumar Verma, Anterpreet Kaur Bedi, “A Comparative Investigation of Blood Vessels in Retinal Images,” In 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, Tamil Nadu, India, pp. 997-1000, 2020 (IEEE)
  6. Anumit Garg, Ashna Kapoor, Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Merged LSTM Model for emotion classification using EEG signals,” in 5th International Conference on Data Science and Engineering (ICDSE 2019), IIT Patna, INDIA (26-28 September) (IEEE)
  7. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, and Simarjot Kaur Randhawa, “Local Binary Pattern Variants: A Review,” In 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 234-237, 2018. (IEEE)
  8. Simarjot Kaur Randhawa, Ramesh Kumar Sunkaria, Anterpreet Kaur Bedi, “Prediction of Liver Cirrhosis Using Weighted Fisher Discriminant Ratio Algorithm,” In 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 184-187, 2018. (IEEE)
  9. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, Deepti Mittal, “Enhancement of ultrasound images using modified anisotropic diffusion model in non-subsampled shearlet domain." In 2017 International Conference on Computing, Communication and Automation (ICCCA), pp. 1119-1124, 2017 (IEEE)

Book Chapters:

  1. Aditya Singh, Ramesh K. Sunkaria, and Anterpreet Kaur Bedi. "A Review on Local Binary Pattern Variants." In Proceedings of First International Conference on Computational Electronics for Wireless Communications: ICCWC 2021, pp. 545-552. Springer Singapore, 2022.
  2. Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria, “Image Features in Machine Learning.” In Machine Learning Algorithms for Signal and Image Processing, Wiley Online Library, 2022

Achievement, Awards and Recognitions

  1. Topper (Gold Medalist) of Dr. B. R. Ambedkar National Institute of Technology Jalandhar, M.Tech (2015-2017)
  2. Delivered an Expert Talk on Basics of Biomedical Signal Processing in TEQIP-III sponsored one-week Short Term Course on “Recent Trends in Biomedical Signal Processing and Telemedicine” from 30-5-2019 to 3-6-2019 organized by Department of Electronics and Communication Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar
  3. Attended a Certified Short-Term Course on Biomedical Image Analysis conducted under GIAN at IIT Roorkee, January 2017

Sponsored Project

  1. “Development of an interactive virtual crops technology for improved wheat production in Punjab: Future agriculture" Supervised by (PI) received a Grant amount of Rs 3.40 lacs by TIET, Patiala (SEED Project), from March 2023 to March 2025.

Message to Students & Community

Hard work always pays!

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