Ph.D. Applications Open- Jan 2025
Click Here
Applications Open for Academic Session 2025-26
Click Here
Fee Payment (EMI)
GrayQuest Financepeer
Dr. Anu Bala

Dr. Anu Bala

Assistant Professor, Computer Science & Applications (CSA)

anu.bala@sharda.ac.in

About

Dr. Anu Bala is currently working as an Assistant Professor with the Department of Computer Science & Applications, School of Engineering and Technology, Sharda University. She has 5 years of academic experience and 2 years of research experience. She has received her Ph.D in Computer Science Engineering from Punjabi University, Patiala, India and is UGC-NET qualified. She has research interests in biomedical image processing, image segmentation, and machine Learning. She has several publications in reputed SCI Journals and conferences.

Experience
  • 5 Years
Qualification
  • Ph.D CSE), M.Tech(CSE), and B.tech(IT)
Research

ist of Publications:

  • Chandan Singh, Anu Bala, A DCT-based Local and Non-Local Fuzzy C-means Algorithm for Segmentation of Brain Magnetic Resonance Images, Applied Soft Computing, 68(2018)447-457, Publisher: Elsevier https://doi.org/10.1016/j.asoc.2018.03.054. Thomson Reuters Impact Factor: 8.26.
  • Chandan Singh, Anu Bala, A Local Zernike Moment-based Unbiased Nonlocal Means Fuzzy C-Means Algorithm for Segmentation of Brain Magnetic Resonance Images, Expert Systems with Applications, 118(2019) 625-639, Publisher: Elsevier https://doi.org/10.1016/j.eswa.2018.10.023 Thomson Reuters Impact Factor: 8.66.
  • Chandan Singh, Anu Bala, A transform-based fast fuzzy C-means approach for high brain MRI segmentation accuracy, Applied Soft Computing, 76(2019)156-173, Publisher: Elsevier https://doi.org/10.1016/j.asoc.2018.12.005 Thomson Reuters Impact Factor: 8.26.
  • Chandan Singh, Anu Bala, An orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images, Expert Systems with Applications, 164(2021) 113989, Publisher: Elsevier, https://doi.org/10.1016/j.eswa.2020.113989, Thomson Reuters Impact Factor: 8.66.
  • Anu Mangla, Chandan Singh, A Local Information Based Fuzzy C-Means for Brain MRI Segmentation, In Computational Intelligence: Theories, Applications and Future Directions-Volume II (pp. 607-619). Springer, Singapore, DOI: 10.1007/978-981-13-1135-2_46.
  • Anu Bala, Chandan Singh, A Local Zernike Moment-Based Fuzzy C-Means Algorithm for Segmentation of Brain Magnetic Resonance Images, Published in IEEE Conference on Applied Signal Processing (ASPCON 2018) in Jadavpur University, Kolkata during December 7th to 9th, 2018. DOI: 10.1109/ASPCON.2018.8748474.
  • Chandan Singh, Sukhjeet Kaur, Dalvinder Kaur, Anu Bala, An Unsupervised DCT-based Pre-Filtering Approach for Effective Segmentation of Brain Magnetic Resonance Images using Intuitionistic Fuzzy C- Means. Journal of Digital Imaging, Publisher: Springer, Thomson Reuters Impact Factor: 4.903 
  • Chandan Singh, Sukhjeet Kaur, Dalvinder Kaur, Anu Bala, A Kernelized-Bias-Corrected Fuzzy C-Means Approach with Moment Domain Filtering For Segmenting Brain Magnetic Resonance Images, Soft Computing, Publisher: Springer, Thomson Reuters Impact Factor: 3.732 
  • Chandan Singh, Sukhjeet Kaur, Dalvinder Kaur, Anu Bala, A Novel Approach for Brain MRI Segmentation and Image Restoration under Intensity Inhomogeneity and Noisy Conditions. Biomedical Signal Processing and Control, Publisher: Elsevier Thomson Reuters Impact Factor: 5.076, volume 87,  https://doi.org/10.1016/j.bspc.2023.105348

Area of Interest

  • Digital Image Processing