Dr. Leena Samantaray
Principal
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Dr. Leena Samantaray
Principal
Dr. Leena Samantaray is an experienced educationalist with over 18 years of experience in the field of education. She is a dynamic leader with innovative approach and administrative prowess – determined to produce young Technocrats and Engineering Professionals who would contribute to position India as a technological global hub. She got her Ph.D in Communication Engineering from Sambalpur University in the year of 2010. She has organized numerous national seminars and student workshops. She has 31 research papers to her credit, which have been published in different National and International Journals, Books & Events.
“RECENT PUBLICATIONS”
- L. Samantaray, T.T. Tripathy, R. Panda, “A novel 3D differential entropy-based multi-class segmentation technique for brain MR image analysis,” Biomedical Signal Processing and Control, Elsevier, vol. 100, p.107064, Dec. 2024. (SCIE, I.F.=5.07)/ (SCOPUS).
- D.P. Sahu, B. Tripathy, L. Samantaray, “FogNet: Custom CNN with optimal feature selection-based combat model for secured fog computing environment”, e-Prime—Advances in Electrical Engineering, Electronics and Energy, vol. 8, p.100604, June 2024(SCOPUS).
- D.P. Sahu, B. Tripathy, L. Samantaray, “Optimized Intrusion Detection System in Fog Computing Environment Using Automatic Termination-based Whale Optimization with ELM, International Journal of Computer Network and Information Security, vol. 16(2), pp. 79–91, April 2024(SCOPUS).
- S.P. Barfungpa, L. Samantaray, H.K. Deva Sarma, R. Panda, A. Abraham, “D-t-SNE: Predicting heart disease based on hyper parameter tuned MLP,” Biomedical Signal Processing and Control, Elsevier, pp.1-12, June 2023. (SCIE, I.F.=5.07)/ (SCOPUS).
- L. Samantaray, R. Panda, M.K. Naik, A. Abraham, “A novel adaptive class weight adjustment‐based multiclass segmentation error minimization technique for COVID‐19 X‐ray image analysis,” International Journal of Imaging Systems and Technology, Wiley, pp.1-16, May 2023. (SCIE, I.F.=2.17)/ (SCOPUS).
- S.P. Barfungpa, H.K. Deva Sarma, L. Samantaray, “An intelligent heart disease prediction system using hybrid deep dense Aquila network,” Biomedical Signal Processing and Control, Elsevier, vol. 84, p. 104742, July 2023. (SCIE, I.F.=5.07)/(SCOPUS).
- G. Das, R. Panda, L. Samantaray, S. Agrawal, “A novel non-entropic objective function for multilevel optimal threshold selection using adaptive equilibrium optimizer,” Iranian Journal of Electrical and Electronics Engineering, pp.1-16, January 2022. (Scopus).
- R. Panda, L. Samantaray, A. Das, S. Agrawal, A. Abraham, “A novel evolutionary row class entropy based optimal multi-level thresholding technique for brain MR images,” Expert Systems with Applications, Elsevier, vol.168, p.114426, April 2021. (SCIE, I.F.=8.66)/ (SCOPUS).
- M.K. Naik, R. Panda, L. Samantaray, A. Abraham, “A novel threshold score based multiclass segmentation technique for brain MR images,” Imaging Systems and Technology, Wiley, pp. 1-17, Dec. 2021. (SCIE, I.F.=2.17) / (SCOPUS).
- G. Das, R. Panda, L. Samantaray, S. Agrawal, “A novel segmentation error minimization based method for multilevel optimal threshold selection using opposition equilibrium optimizer,” International Journal of Image and Graphics, World Scientific, pp.1-14, December 2021. (ESCI, I.F.=1.17) / (SCOPUS).
- L. Samantaray, S. Hembram, R. Panda, “A New Harris Hawks-Cuckoo Search Optimizer for Multilevel Thresholding of Thermogram Images” Revue d’inteliigence Artificiele, IIETA, communicated, Oct. 2020. (Scopus).
- A. Das, S. Agrawal, L. Samantaray, R. Panda, A. Abraham, “A Review on State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis.” Revue d’inteliigence Artificiele, IIETA, Vol.34(3), pp. 243-256, June 2020. (Scopus).
- L. Samantaray, and R. Panda, “Design of maximally flat filters for signal processing applications,” WSEAS Transaction on Signal Processing, Vol. 15, pp. 55-64, Aug. 2019. (Scopus).
- S. Agrawal, L. Samantaray, R. Panda, and L. Dora, “A new hybrid ACS-SS algorithm for brain MR image analysis,” Book Title: Hybrid Machine Intelligence for Medical Image Analysis, Springer, Chapter-5, June 2019. ISBN: 978-981-13-8929-0.
- S. Agrawal, R. Panda, L. Samantaray, and A. Abraham, “A novel automated absolute intensity difference based technique for optimal MR brain image thresholding, Computer and Information Sciences, Elsevier, pp.1-15, Jan. 2018. (SCIE, I.F.=6.90).
- R. Panda, S., Agrawal, L. Samantaray and Ajit Abraham, “An evolutionary gray gradient algorithm for multilevel thresholding of brain MR images using soft computing techniques”, Applied Soft Computing, Elsevier, vol. 50, pp. 94-108, Nov. 2016. (SCIE, I.F.=8.26).
- S. Agrawal, R. Panda and L. Samantaray, “A novel hybrid CS-BFO algorithm for optimal multilevel image thresholding using edge magnitude information,” Book Title: Hybrid soft computing techniques for multilevel image thresholding, Springer, pp. 53-85, Jan. 2017.
- M.K. Naik, L. Samantaray and R. Panda, “A Hybrid CS-GSA Algorithm for Optimization,” Book Title: Hybrid Soft Computing Approaches: Research and Applications, Springer, pp. 3-35, Oct. 2015.
- L. Samantaray and R. Panda, “Signal Decimation and Interpolation in Fractional Domain using Non-linear Basis Functions”, International Journal of Signal Processing, Image Processing and Pattern Recognition, SERSC Korea, Vol.6, No.4, pp.415-430, Aug. 2013.
- R.Panda, L. Samantaray and D.K.Rout, “A Mobile Network Based Architecture for Body Area Networks,” International Journal of Computer Information Systems, vol.3, No.6, pp.23-26, December 2011.
“BOOK CHAPTERS”
- S. Agrawal, L. samantaray, R. Panda, and L. Dora, “A new hybrid ACS-SS algorithm for brain MR image analysis,” Book Title: Hybrid Machine Intelligence for Medical Image Analysis, Springer, Chapter 5, 2019.
- S. Agrawal, R. Panda and L. Samantaray, “A novel hybrid CS-BFO algorithm for optimal multilevel image thresholding using edge magnitude information,” Book Title: Hybrid soft computing techniques for multilevel image thresholding, Springer, pp. 53-85,jan17″
- M.K. Naik, L. Samantaray and R. Panda, “A Hybrid CS-GSA Algorithm for Optimization,” Book Title: Hybrid Soft Computing Approaches: Research and Applications, Springer, Chapter-1, Vol.611,SBhatacharya et al. (Eds) pp.1-28, Oct. 2015 .