registrar@vssut.ac.in +91 8480441756

ବୀର ସୁରେନ୍ଦ୍ର ସାଏ ବୈଷୟିକ ବିଶ୍ୱବିଦ୍ୟାଳୟ

वीर सुरेंद्र साई प्रौद्योगिकी विश्वविद्यालय

Veer Surendra Sai University of Technology

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Dr. Manas Ranjan Senapati

Associate Professor

Qualification : B.E(Marathwada University); M.Tech(Utkal University; Ph.D(Biju Patnaik University of Technology)

Specialization : Data Mining, Image Processing, Pattern Recognition,Classification

7008407737 manassena@gmail.com, mrsenapati_it@vssut.ac.in

B.E(Marathwada University); M.Tech(Utkal University; Ph.D(Biju Patnaik University of Technology)

Data Mining, Image Processing, Pattern Recognition,Classification

  1. Industry Experience: 1.5 years
  2. Teaching Experience: 27.5 years

Graduate Level : Data Mining, Soft Computing, Programming in C, Artificial Intelligence
Post Graduate Level : Data Mining, Soft Computing, Programming in C, Artificial Intelligence

Data Mining, Image Processing, Pattern Classification, Prediction

Ph. D. Candidates : 05 (Awarded), 04 (Continuing)
M. Tech. Candidates : 09 Nos (Awarded)
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  1. Life Member ISTE (LM 76960)
  2. Fellow IE (F-1199109)
  3. Member International Association of Engineers: - 154246
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International Publications

  1. M. R. Senapati, G.Panda, P. K. Dash, “Hybrid Approach using KPSO and RLS for RBFNN design for Breast Cancer Detection”, Neural Computation & Application, Springer, ISSN 0941-0643,vol 24, issue 3, pp. 745-753, March 2014, DOI10.1007/s00521-012-1286-6.
  2. M.R.Senapati, P.K.Dash, “Intelligent Systems Based on Local Linear Wavelet Neural Network and Recursive Least Square Approach for Breast Cancer Classification”, Artificial Intelligence and Review, Springer, ISSN 0269-2821. vol 39, issue 2, pp 151-163, February 2013, DOI: 10.1007/s10462-011-9263-5.
  3. A.K. Mohanty, M. R. Senapati, S.K.Lenka, “A novel mining technique for classification of mammograms using hybrid feature selection”, Neural Computing and Application, Springer, ISSN: 0941-0643, vol 22, issue 6, pp 1151-1161, May 2013, DOI: 10.1007/s00521-012-0881-x
  4. M.R.Senapati, P.K.Dash, “Local Linear wavelet Neural Network based breast cancer classification using firefly algorithm”, Neural Computing and Application, Springer, ISSN: 0941-0643, Vol 22, Issue 7, pp 1591-1598, September 2013, DOI 10.1007/s00521-012-0927-0
  5. M. R. Senapati, A. K. Mohanty, S. Dash, P. K. Dash, “Local linear wavelet neural network for breast cancer recognition”, Neural Computing and Application”, Springer, ISSN: 0941-0643, vol 22, issue 1, pp 125-131, January 2013, DOI 10.1007/s00521-011-0670-y.
  6. Pandit Byomokesha Dash, Manas Ranjan Senapati, H. S. Behera, Janmenjoy Nayak, S. Vimal, “Self-adaptive memetic firefly algorithm and CatBoost-based security framework for IoT healthcare environment”, Journal of Engineering Mathematics, Springer, online first, 18th December 2023, SCI,https://doi.org/10.1007/s10665-023-10309-z
  7. Soumya Das, Monalisa Nayak, Manas Ranjan Senapati “Improving Time Series Prediction with Deep Belief Network”, Journal of Institution of Engineers, Series B, Springer, 25th August 2023, online first, Scopus, EISSN:2250-2114, https://doi.org/10.1007/s40031-023-00912-0
  8. AbhimanyuPatra, Sarojananda Mishra, Manas Ranjan Senapati, Rajesh Kumar Behera, Subhendu Kumar Pani,“Analysis of Multi-class Patterns in corporate hospitals using Time-varying Databases”, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) ISSN: 1671-5497 E-Publication: Online Open Access Vol: 42 Issue: 05-2023, DOI 10.17605/OSF.IO/4CBSX
  9. Chandrakant Mallick, Sarojananda Mishra, Manas Ranjan Senapati, “A cooperative deep learning model for fake news detection in online social networks”, Journal of Ambient Intelligence and Humanized Computing, Springer, 8th February 2023, Scopus, https://doi.org/10.1007/s12652-023-04562-4
  10. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu, “A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data”, Applied Intelligence, Springer, published 26 July 2022, ISSN: 0924-669X, SCI Indexed, EISSN 1868-5145, https://doi.org/10.1007/s10489-022-03907-4
  11. Monalisa Nayak, Soumya Das, Manas Ranjan Senapati, Santosh Kumar Majhi, “Improving Time Series Prediction with Feature Selection Using a Velocity Enhanced Whale Optimization Algorithm”, International Journal of Swarm Intelligence and Research, vol:-13, Issue-1, Scopus Indexed, pp:1-29, August 2022, ISSN: 1947-9263,doi: 10.4018/IJSIR.307104
  12. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu “ABET: An effective emotion-topic method of biterms for emotion recognition from the short texts”, Journal of Ambient Intelligence and Humanized Computing, Springer, 2nd April 2022,Scopus, https://doi.org/10.1007/s12652-022-03799-9
  13. Monalisa Nayak, Soumya Das, Manas Ranjan Senapati, “Improving flood prediction using deep learning methods”, Journal of Institution of Engineers, Series B, Springer, 7th March 2022, online first, Scopus, EISSN:2250-2114https://doi.org/10.1007/s40031-022-00720-y
  14. Aswini Kumar Mohanty,Manas Ranjan Senapati, Swapnasikta Beberta, Saroj Kumar Lenka,“Texture-based features for classification of mammograms using decision tree”, Published in Neural computing and application, Springer, ISSN: 0941-0643, Vol 23, issue 4, pp 412-418, September 2013, DOI 10.1007/s00521-012-1025-z
  15. Abadhan Ranganath, Manas Ranjan Senapati, Pradip Kumar Sahu, “A novel pixel range calculation technique for texture classification”, Multimedia tools and Application, Springer, 7th March 2022, Online First, SCI https://doi.org/10.1007/s11042-022-12186-7
  16. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati (2022): “Predictive Analysis for Cancer and Diabetes Using Simplex Method Based Social Spider Optimization Algorithm”, IETE Journal of Research, 3rd February 2022, Online First, SCI, DOI: 10.1080/03772063.2022.2027276
  17. Monalisa Nayak, Soumya Das, Urmila Bhanja,Manas Ranjan Senapati, “Simplex Based Social Spider Optimization Method for Improving Medical Data Analysis”,Computer Science & Engineering: An International Journal (CSEIJ), Vol 12, No 1, February 2022, ISSN: 2231- 329X, https://doi:10.5121/cseij.2022.12111
  18. Abadhan Ranganath, Pradip Kumar Sahu, Manas Ranjan Senapati, “A novel approach for detection of coronavirus disease from computed tomography scan images using the pivot distribution count method”, Computer methods in biomechanics and biomedical engineering: Imaging and Visualization, Taylor and Francis, Online first, 29th October 2021, online ISSN: 2168-1171,Scopus https://doi.org/10.1080/21681163.2021.1998925
  19. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu, “Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations”, Ain Shams Engineering Journal, Elsevier Science, Vol 13, Issue-2, March 2022, ISSN: 2090-4479, SCI, https://doi.org/10.1016/j.asej.2021.08.004.
  20. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Financial Time-Series Prediction with Feature Selection Using Simplex Method Based Social Spider Optimization Algorithm”, Indian Journal of Computer Science and Engineering, SCOPUS Indexed, Mar-Apr 2021, Vol. 12, Issue No.2,pp. 326- 347, ISSN: 0976-5166, https://doi.org/10.21817/indjcse/2021/v12i2/211202036
  21. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Cancer Diagnosis using Enhanced Whale Optimization Algorithm”,International Journal of Advanced Computational Engineering and Networking, Volume-8, Issue-2, Feb.-2020, ISSN(p): 2320-2106, ISSN(e):2321-2063, IJACEN-IRAJ-DOIONLNE-16926
  22. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Elephant Herding Optimization Technique based Neural Network for Cancer Prediction”, Informatics in Medicine Unlocked, Elsevier Science, 8th October 2020, ISSN: 2352-9148,https://doi.org/10.1016/j.imu.2020.100445
  23. Soumya Das, Sarojananda Mishra, Manas Ranjan Senapati, “Improving Time Series Forecasting using Elephant Herd Optimization with Feature Optimization Methods”, Journal of Management Analysis, Taylor & Francis, Online First, 06.10.2020, ISSN: 2327-0012, https://doi.org/10.1080/23270012.2020.1818321
  24. Sonali Dash, Manas Ranjan Senapati, Pradip Kumar Sahu,P. S. R. Chowdary, “Illuminationnormalized based technique for retinal bloodvessel segmentation”,International Journal of Imaging Systems and Technology, Wiley, 7th June 2020, ISSN‎: ‎1098-1098,https://doi.org/10.1002/ima.22461
  25. Suchismita Sahoo, Susreesangita Sahoo, M.R.Senapati, P.K.Dash, “Local Linear Neural Network and RLS for usable speech classification”, International Journal of Computer Science Issues, vol.8, issue 4, pp. 412-418, July 2011.
  26. AbadhanRanganath, Manas Ranjan Senapati, Pradip Kumar Sahu, “Estimating the fractal dimension of images using pixel range calculation technique”, The Visual Computer, 5th March 2020, ISSN: 0178-2789 https://doi.org/10.1007/s00371-020-01829-1
  27. Sreelekha Panda, Satyasis Mishra,Manas Ranjan Senapati, “Detection and Classification Methods for EEG Epileptic Seizures”, International Journal of Advanced Trends in Computer Science and Engineering, Vol-8, No-6, Nov-Dec 2019, ISSN:2278 -3091, https://doi.org/10.30534/ijatcse/2019/40862019
  28. Sonali Dash, Manas Ranjan Senapati, “Noise Robust law’s filters based on fuzzy filters for texture classification”, Egyptian Informatics Journal, 15th October 2019, pp 37-49, ISSN: 1110-8665,https://doi.org/10.1016/j.eij.2019.10.003
  29. Sonali Dash, Manas Ranjan Senapati, “Enhancing detection of retinal blood vessels by combined approach of DWT, Tyler Coye and Gamma correction”, Biomedical Signal Processing and Control, Elsevier Science, 26th October 2019, vol-57, ISSN: 1746-8094,https://doi.org/10.1016/j.bspc.2019.101740
  30. Satyasis Mishra, PremanandaSahu, Manas Ranjan Senapati, “APSO based LLRBFNN model and enhanced fuzzy C means algorithm for brain tumor detection and classification from magnetic resonance image”, International Journal of Engineering and Technology, vol-8, issue-4, 2nd July 2019, pp- 490-499, ISSN: 2319-8613, https://dx.doi.org/10.14419 / ijet. v8i4.20445.
  31. Satyasis Mishra, PremanandaSahu, Manas Ranjan Senapati, “MASCA–PSO based LLRBFNN model and improved fast and robustFCM algorithm for detection and classification of brain tumor from MRimage”, Evolutionary Intelligence, Springer, 20th July 2019, pp:- 1-17, ISSN: 1864-5909 , https://doi.org/10.1007/s12065-019-00266-x
  32. Soumya Das, Sarojananda Mishra, Manas Ranjan Senapati, “New Approaches in Metaheuristic to Classify Medical Data UsingArtificial Neural Network”,Arabian Journal of Science and Engineering, Springer, 10th July 2019, pp:-1-13, ISSN: 2193-567X, https://doi.org/10.1007/s13369-019-04026-y
  33. Binaya Kumar Panigrahi, Tushar Kumar Nath, Manas Ranjan Senapati, “An Application of Local Linear radial basis Function Neural Network for Flood Prediction”, Journal of Management Analysis, Taylor and Francis, 18th January 2019, vol-6, issue-1, pp:-67-87, ISSN: 2327-0012, https://doi.org/10.1080/23270012.2019.1566033
  34. Sonali Dash, Manas Ranjan Senapati, “Gray Level Run Length Matrix based on various illumination normalization techniques for texture classification”, Evolutionary Intelligence, Springer, 17th August 2018, pp-1-10, ISSN 1864-5909,https://doi.org/10.1007/s12065-018-0164-2
  35. S.Das, S.N.Mishra, M. R. Senapati, “A Novel Model for Stock Price Prediction using Hybrid Neural Network”, IEIB, Springer, Online first, DOI :10.1007/s40031-018-0343-7.
  36. M.R.Senapati, I.Vijaya, P.K.Dash “Rule Extraction by Training Radial Basis Functional Neural Network with Particle Swarm Optimization” published in American Journal of Science, Science Publication, ISSN: 1549-3636, vol 3, issue 8, pp.592-599,2007
  37. B. K. Panigrahi, S. Das, T. K. Nath, M. R. Senapati, “An Application of Data Mining Techniques for Flood Forecasting: Application in Rivers Daya and Bhargavi, India”, IEIB, Springer, Online first, DOI :10.1007/s40031-018-0333-9.
  38. Sonali Dash, Manas Ranjan Senapati, Uma Ranjan Jena, “K-NN based automated reasoning using bilateral filter based texture descriptor for computing texture classification”, Egyptian Informatics Journal, Elsevier Science, https://doi.org/10.1016/j.eij.2018.01.003
  39. Sonali Dash, Uma Ranjan Jena, Manas Ranjan Senapati, “Homomorphic Normalization-Based Descriptors for Texture Classification”, Arab J Sci Eng, Springer, pp. 1-11, (2017), doi.org/10.1007/s13369-017-2961-9
  40. A.Patra, S.Das, S.N.Mishra, M.R.Senapati, “A adaptive local linear optimized radial basis functional neural network model for financial time series prediction”, Neural Computing and Application, Springer, January 2017, Volume 28, Issue 1, pp 101–110,DOI: DOI 10.1007/s00521-015-2039-0
  41. S.Swain, S.Prasad, M.R.Senapati, “A Review of Big data and its current research direction”, International Journal of Engineering, Science and Mathematics, December-2017, Vol-6, Issue-8, ISSN: 2320-0294.
  42. Tapaswini Nayak, S.Prasad, M.R.Senapati, “Hybrid soft computing approach for hydro power energy prophecy”, International Journal of Engineering Research and Technology, Vol-9, No-2, pp 121-134, ISSN: ISSN: 2278-0181
  43. Tapaswini Nayak, M.R.Senapati, S.Prasad “A Survey on Web text Information Retrieval in Text”, “Research Journal of Applied Sciences, Engineering and Technology”, Maxwell Publication, ISSN: 2040- 7467, Vol 10, Issue 10, pp: 1164-1174, 05 August 2015.
  44. S.Das, S.Prasad, S.Mishra, M.R.Senapati “A Harmony Search based Artificial Neural Network for Stock Market Prediction”, International Journal of Business Forecasting and Marketing Intelligence, InderScience, 2015, Vol-2, No-1, pp. 19-36 ISSN: 1744-6635, doi.org/10.1504/IJBFMI.2015.075358
  45. S.Das, A.Patra, S.N.Mishra, M.R.Senapati, “A self-adaptive fuzzy based optimized functional link artificial neural network model for financial time series prediction”, International Journal of Business Forecasting and Marketing Intelligence, Inderscience, Vol-2, No-1, pp.55-77, ISSN: 1744-6635, https://doi.org/10.1504/IJBFMI.2015.075323
  46. Mishra, S.P. , Prasad, S. , Senapati, M.R., “A comparative analysis on java code coverage tools in software testing”,International Journal of Applied Engineering Research, Vol-10 Issue 13, pp. 33499-33503, 24 August 2015.
  47. M.R.Senapati, P.K.Dash, Maya Nayak, I.W.C. Lee “Mining for similarities in time series data using wavelet-based feature vectors and neural networks” published in “Engineering Application of Artificial Intelligence’ Elsevier Science, ISSN: 0952-1976, vol 20, Issue: 2, pp.185-201, 2007, https://doi.org/10.1016/j.engappai.2006.06.018

National Publications

  1. D. K. Sahu, A.Patra,, S.N.Mishra,M.R.Senapati, “Techniques for Time Series Prediction: - A Review”, International Journal of Research Science and Management, vol: 2, issue 3: March, 2015, ISSN: 2349-5197; pp-6-13
  2. M.R Senapati,S. P Das, P.K.Champati, P.K.Routray, “Local Linear Radial Basis Function Neural networks for Classification of Breast Cancer data”, Progress In Science and Engineering Research Journal, November-December 2014, PISER 16, vol-02, Issue: 06, pp 033-042,ISSN 2347-6680,.
  3. Tapaswini Nayak, M.R.Senapati, S.Prasad “A Text Mining Approach For Information Retrieval Used In Product Rating”, International Journal of Applied Engineering Research, Research India Publication, January 2015, vol-10, Issue-10, pp: 27137-27146,ISSN: 0973- 4562, https://dx.doi.org/10.19026/rjaset.10.1884
  4. Ila Swain, Manas Ranjan Senapati, “Artificial Neural Network for Distribution Systems”, National Seminar on Future Trends on Data Mining, 2010.
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International Conference on Signal Processing, Communication, Power and Embedded System, International Conference, 3rd October 2016-05th October 2016.
  • Vice President (Sports and Yoga) 2018 till date
  • Member Examination Committee 2017 till date
  • Member Anti Ragging Committee 2018
  • Any other Distinction
    • Associate Editor
      • International Journal of Computer Science and Business Intelligence
      • International Journal of Business Forecasting and Marketing Intelligence, Inderscience, UK
    • Reviewer
      • International Journal of Computer Science and Business Intelligence
      • Neural computing and Application, Springer.
      • Artificial Intelligence and Review, Springer.
      • System, Man and Cybernetics, Part B, IEEE transaction.
      • System, Man and Cybernetics, Part C, IEEE transaction.
      • International Journal of Artificial Intelligence and Soft Computing, Inder Science
      • Applied Artificial Intelligence, Taylor and Francis
      • Computational Intelligence, Willey Publication
Present Address : 
Dr. Manas Ranjan Senapati
Associate Professor
Department of Information Technology,
Veer Surendra Sai University of Technology, Burla,
Sambalpur, Odisha-768018, INDIA 		  Permanent Address : 
At: Plot No 107-E, Acharya Vihar, Bhubaneswar,br /> Odisha, India, Pin-751013