Assistant Professor

Dr Lipismita Panigrahi

Department of Computer Science and Engineering

Interests

  1. Digital Image Processing
  2. Computer Vision
  3. Artificial Intelligence, Machine Learning, Deep Learning
  4. Indian Knowledge Systems

Faculty Details

Education

2020

National Institute of Technology, Raipur
Ph.D.

2012

Siksha 'O' Anusandhan University, Odisha
M.Tech.

2010

Biju Patnaik University of Technology, Odisha
B.Tech.

Experience

  • Working as Visiting Researcher in the Department of Computer Science, University of Texas, Texas, USA (2024- Cont.).
  • April 2023 - August 2024 - postdoc research fellow - University of Texas, Texas, USA.
  • November 2022 - January 2024 - Assistant Professor - KIIT University, Odisha, India.
  • April 2022 - Novemver 2022 - Assistant Professor - GITAM University, Visakhapatnam, India.
  • March 2021 - April 2022 - Assistant Professor - O.P. Jindal University, Raigarh, Chhattisgarh, India
  • August 2012 - August 2015 - Assistant Professor - Balasore college of Engg. and Technology, Odisha, India.

Research Interests

  • Digital Image Processing | Computer Vision | Artificial Intelligence | Machine Learning | Deep Learning | Indian Knowledge Systems.

Awards & Fellowships

  • 2023 - Best Research Paper - Second International Conference on Roadway from Engineering Technology: Biomedical Science and Laboratory (ICBEST 2023) , organized by department of Biomedical Engineering, NIT Raipur.
  • 2021 - Certificate of Appreciation for successfully moderating the sessions in an one month series of webinars on “National Cyber Security Awareness”, O.P. Jindal University, India.
  • 2015 - 2019: Institute Fellowship for PhD by MHRD, Government of India.
  • 2017 - 15th Chhattisgarh Young Scientist, in the discipline of Computer Science, Information Technology, Electronics, Instrumentation etc. organized by Chhattisgarh Council of Science & Technology, Raipur and Chhattisgarh Swami Vivekanand Technical University, Bhiali.

Memberships

IEEE Member

Publications

  • Panigrahi, L., Chandra, T. B., Srivastava, A. K., Varshney, N., Singh, K. U., & Mahato, S., “mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features”. International Journal of Intelligent Systems, 2024.
  • Panigrahi, L., Verma, K., & Singh, B. K., “Evaluation of Image Features Within and Surrounding Lesion Region for Risk Stratification in Breast Ultrasound Images”. IETE Journal of Research,68(2), 935 946, 2019.
  • Panigrahi, L., Verma, K., & Singh, B. K., “Ultrasound image segmentation using a novel multi scale Gaussian kernel fuzzy clustering and multi scale vector field convolution”. Expert Systems with Applications, 115, 486 498, 2019.
  • Panigrahi, L., Verma, K., & Singh, B. K., “Hybrid segmentation method based on multi scale Gaussian kernel fuzzy clustering with spatial bias correction and region scalable fitting for breast US images”. IET Computer Vision, 12(8), 1067 1077, 2018.
  • Singh, B. K., Verma, K., Panigrahi, L., & Thoke, A. S., “Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm”. Expert Systems with Applications, 90, 209 223, 2017.
  • Panigrahi, L., Das, K., & Mishra, D., “Missing value imputation using hybrid higher order neural classifier”. Indian Journal of Science and Technology, 7(12), 2007 2014, 2014.

Conferences

  • Panigrahi, L., & Panigrahi, R. R., “An Enhancement in K means Algorithm for Automatic Ultrasound Image Segmentation”. In International Conference on Biomedical Engineering Science and Technology (pp. 1 8), 2013.
  • Panigrahi, L., Panigrahi, R. R., & Chandra, S. K., “ Hybrid image captioning model”. International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) (pp. 1-6), IEEE, 2021.
  • Panigrahi L. & K. Verma, “Segmented Region based Feature Extraction for Image Classification”. Emerging Trends in Industry 4.0 (ETI 4.0), pp. 1 7, 2021.
  • Bafna, Y., Verma, K., Panigrahi, L., & Sahu, S. P., “Automated boundary detection of breast cancer in ultrasound images using watershed algorithm”. In Ambient communications and computer systems (pp. 729 738). Springer, Singapore, 2018
  • Panigrahi L., “A hybrid segmentation method for automated segmentation of ultrasound images”. 15th Chhattisgarh Young Scientists Congress, 2017.
  • Panigrahi, L., Verma, K., & Singh, B. K., “An enhancement in automatic seed selection in breast cancer ultrasound images using texture features”, International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1096 1102). IEEE, 2016.
  • Pati, P. P., Das, K., Mishra, D., Mishra, S., & Panigrahi, L., "Sampling correctly for improving classification accuracy: a hybrid higher order neural classifier (HHONC) approach". In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (pp. 97 101). ACM, 2012.
  • Panigrahi, L., Ranjan, R., Das, K., & Mishra, D., "Removal and interpolation of missing values using wavelet neural network for heterogeneous data sets". In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (pp. 1004 1009). ACM, 2012.
  • Das, K., Pati, P. P., Mishra, D., & Panigrahi, L., "Empirical comparison of sampling strategies for classification". Procedia engineering, 38, 1072 1076, 2012.

Patents

  • Panigrahi, L., Jha, Avaneesh, “Novel Compilation System For Accepting Non English Based Programming Languages”, Application no 2022/09958, 2022.

Contact Details

  • E-mail id: lipismita.p@srmap.edu.in
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