Best Private University in Chhattisgarh | Top University of Steel Technology and Management in Raigarh, Chhattisgarh |OP Jindal University.

Assistant Professor

Department of Computer Science and Engineering

School of Engineering

Ph.D. in Image Processing and Machine Learning from NIT, Raipur - 2020..
M.Tech in Data Mining and Artificial Intelligence from SOA University, Odisha – 2012.
BE in Information Technology from Biju Patnaik University of Technology, Odisha – 2010.

OP Jindal University, Raigarh (C.G), Working as a Assistant Professor from March 2021 to till date.
Worked as a Assistant Professor in Biju Patnaik University of Technology, Odisha from Aug 2012 to Aug 2015.

Panigrahi, L., Verma, K., & Singh, B. K. (2019). Evaluation of Image Features Within and Surrounding Lesion Region for Risk Stratification in Breast Ultrasound Images. IETE Journal of Research, 1-12. SCI, Impact factor:- 1.125.
Panigrahi, L., Verma, K., & Singh, B. K. (2019). 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. SCI, Impact factor:- 5.452, Citation: 17.
Panigrahi, L., Verma, K., & Singh, B. K. (2018). 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 (DOI-10.1049/iet-cvi.2018.5332), SCI, Impact Factor: 1.648, Citation: 3.
Singh, B. K., Verma, K., Panigrahi, L., & Thoke, A. S. (2017). 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, SCI, Impact Factor: 5.452, Citation: 10.
Panigrahi, L., Das, K., & Mishra, D. (2014). Missing value imputation using hybrid higher order neural classifier. Indian Journal of Science and Technology, 7(12), 2007. Citation: 6.

Bafna, Y., Verma, K., Panigrahi, L., & Sahu, S. P. (2018). Automated boundary detection of breast cancer in ultrasound images using watershed algorithm. In Ambient communications and computer systems (pp. 729-738). Springer, Singapore. Citation: 5.
Panigrahi, L., Verma, K., & Singh, B. K. (2016, September). An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1096-1102). IEEE. Citation: 5.
Panigrahi L., "A hybrid segmentation method for automated segmentation of ultrasound images," 15th Chhattisgarh Young Scientists Congress 2017.
Pati, P. P., Das, K., Mishra, D., Mishra, S., & Panigrahi, L. (2012, August). 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.
Panigrahi, L., Ranjan, R., Das, K., & Mishra, D. (2012, August). 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. Citation: 2.
Das, K., Pati, P. P., Mishra, D., & Panigrahi, L. (2012). Empirical comparison of sampling strategies for classification. Procedia engineering, 38, 1072-1076. Citation: 2.

One-week workshop on National Workshop on “Cyber Security”in 2019.
Short term Training Program on “Digital Image Processing, Pattern Recognition and Applications” in 2016.
National Workshop on “Deep Learning and its Application” in 2016.
Workshop on “Industrial Experimentation” in 2015.
Data Warehousing and Data Mining Concept and Its Research Trends” (FDPDWDM-13). AICET sponsored Faculty development program in 2013.
“Speech Signal Processing and Its Application” (SAAP-13), AICET sponsored National Seminar in 2013.
One day State Label ‘C’ Workshop in 2012.
One week workshop on Sensitivity Awareness Motivation Workshop” sponsored by University Grant Commission in 2012.
Seminar on Where is intelligent computing in 2011.

Received “Young Scientist Award” for Research Paper entitled “ A hybrid segmentation method for automated segmentation of ultrasound images” in the discipline of Computer Science, Information Technology, Electronics, Instrumentation etc. during the 15th Chhattisgarh Young Scientists Congress (CYSC-2017) organized by Chhattisgarh Council of Science & Technology, Raipur and Chhattisgarh Swami Vivekanand Technical University, Bhiali, C.G. on Feb 28-March 1, 2017.