65 Years of Excellence

Information Technology

Name : Dr. Manas Ranjan Senapati
Designation : Associate Professor & Head
Phone No. : +91-8984500778, 9437132010
Email Id : manassena@gmail.com, mrsenapati_it@vssut.ac.in
Date of Birth : 05-04-1970
Date of Joining : 18-10-2016

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 : 02 (Awarded), 05 (Continuing)
M. Tech. Candidates : 09 Nos (Awarded)
  1. Received the Mother Teresa award for contribution towards research and teaching.
  2. Fellow of the Institution of Engineers India, 2015
  1. Life Member ISTE (LM 76960)
  2. Fellow IE (F-1199109)
  3. Member International Association of Engineers: - 154246
DATA TO BE UPDATED...

International Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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.
  16. 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.
  17. 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
  18. 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
  19. 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
  20. 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.
  21. 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
  22. 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.
  23. 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
  24. 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
  25. 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.
  26. 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.
  27. 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.
  28. 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
  29. 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
  30. 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.
  31. 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
  32. 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.
  33. 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
  34. 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, PISER 16, ISSN 2347-6680, Vol.02, Issue: 06, November-December 2014; pp 033-042.
  3. Tapaswini Nayak, Srinivas Prasad, M.R.Senapati, “A Text Mining Approach For Information Retrieval Used In Product Rating”, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 10, Number 10 (2015) pp. 27137-27146
  4. Conferences: M .Mohanty, S.Mishra, M.Senapati “Classification of Power Signal by using S-Transform and PSO based FLANN” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1
  5. Tapaswini Nayak, Srinibas Prasad, Manas Ranjan Senapati, “An Approach to Improve retrieval Accuracy of Web Information” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1
  6. Tapaswini Nayak, Smurti Rekha Sahoo, Manas Ranjan Senapati, “An adoptive hybrid soft computing approach for wind energy prediction” International Journal of Computer Applications, International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 0975-8887, pp. 37-42
  7. P.P. Rout, C.K. Mallick, Dr. M.R. Senapati, “Modeling Intelligent HealthCare Using Artificial Neural Network”, International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar,ISBN: 978-93-81361-16-1
  8. Ipsita Maharana, Sumanjit Das, Dr. M.R. Senapati, “A Hybrid Intelligent Artificial Neural Network Model for Stock Market Index Prediction” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1
  9. Trilochan Rout, Mamata Garnayak, Dr. Manas Ranjan Senapati, Dr. Sushanta Kumar Kamilla, “Big Data And its Applications: A Review”, International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO) – 2015, 978-1-4799-7678-2/15/$31.00 ©2015 IEEE
  10. Ila Swain, Manas Ranjan Senapati, “Artificial Neural Network for Distribution Systems”, National Seminar on Future Trends on Data Mining, 2010.
  11. I.Vijaya, A.Lenka, M.R.Senapati, P.K.Dash “A Particle Swarm Optimization for Training Radial Basis Functional Neural Networks” Published in ICSCI, Conference, pp-237-241, 2007.
  12. M.R.Senapati, P.K.Pattnaik, S.N.Dehuri, G. Panda, P.K.Dash “A Genetic Programming Approach for Training Radial Basis Functional Neural Networks” in ICSCI, Conference, pp.683-687, 2006.
  13. Raj Kishore Maity, I.Vijaya, M.R.Senapati “A Competitive Learning Network Optimization for Training Radial Basis Functional Neural Networks” Published in Haldia Institute of Technology, International Conference, pp-489-525,2006
  14. S.N.Dehuri, M.R.Senapati, A.K.Jagadev, R.Mall “A Probabilistic Approach to Scalable C-means Algorithm for Clustering Large Datasets”. Published ICSCI Conference, pp.521-525, 2005.
  15. M.R.Senapati, P.K.Routray, P.K.Dask, “Breast Cancer Detection using Recursive Least Square and Modified Radial Basis Functional Neural Network, International Conference [ICCT-2010], 3rd-5th December 2010
  16. S.Praveen Kumar, Dr. Y.Srinivas, Dr. Manas Ranjan Senapati, Ashish Kumar "An Enhanced model for preventing guilt agents and providing data security in distributed environment" IEEE conference on Signal processing, communication, Power and Embedded Systems (SCOPES)-2016, pp 482-491
  17. Madhusmita Sahu, K.Parvati, Manas Ranjan Senapati "A Review of Adaptive K-means Clustering Algorithm in Image Segmentation for Detection of Tumor Cell", National Conference on Mechatronics, Computing and Signal Processing (MCSP 2016), pp- 110-113.

Conferences

  1. Abadhan Ranganath, Manas Ranjan Senapati, Pradip Kumar Sahu, “Classification of Textures Using Pixel Range Calculation Techniques” International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2nd February to 20th February 2021, ISBN: 978-1-7281-8529-3
  2. M .Mohanty, S.Mishra, M.Senapati “Classification of Power Signal by using S-Transform and PSO based FLANN” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1.
  3. Tapaswini Nayak, Srinibas Prasad, Manas Ranjan Senapati,  “An Approach to Improve retrieval Accuracy of Web Information” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1.
  4. Tapaswini Nayak, Smurti rekha Sahoo, Manas Ranjan Senapati,  “An adoptive hybrid soft computing approach for wind energy prediction” International Journal of Computer Applications, International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 0975-8887, pp. 37-42.
  5. P.P. Rout, C.K. Mallick, Dr. M.R. Senapati, “Modeling Intelligent HealthCare Using Artificial Neural Network”, International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1.
  6. Ipsita Maharana, Sumanjit Das, Dr. M.R. Senapati, “A Hybrid Intelligent Artificial Neural Network Model for Stock Market Index Prediction” International Conference: Emerging Trends in Computing and Communication, 2nd May 2015, Bhubaneswar, ISBN: 978-93-81361-16-1.
  7. Trilochan Rout, Mamata Garnayak, Dr. Manas Ranjan Senapati, Dr. Sushanta Kumar Kamilla, “Big Data And its Applications: A Review”, International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO) – 2015, 978-1-4799-7678-2/15/$31.00 ©2015 IEEE.
  8. I.Vijaya, A.Lenka, M.R.Senapati, P.K.Dash “A Particle Swarm Optimization for Training Radial Basis Functional Neural Networks” Published in ICSCI, Conference, pp-237-241, 2007.
  9. M.R.Senapati, P.K.Pattnaik, S.N.Dehuri, G. Panda, P.K.Dash “A Genetic Programming Approach for Training Radial Basis Functional Neural Networks” in ICSCI, Conference, pp.683-687, 2006.
  10. Raj Kishore Maity, I.Vijaya, M.R.Senapati “A Competitive Learning Network Optimization for Training Radial Basis Functional Neural Networks” Published in Haldia Institute of Technology, International Conference, pp-489-525,2006.
  11. S.N.Dehuri, M.R.Senapati, A.K.Jagadev, R.Mall “A Probabilistic Approach to Scalable C-means Algorithm for Clustering Large Datasets”. Published ICSCI Conference, pp.521-525, 2005.
  12. M.R.Senapati, P.K.Routray, P.K.Dask, “Breast Cancer Detection using Recursive Least Square and Modified Radial Basis Functional Neural Network, International Conference [ICCT-2010], 3rd-5th December 2010.
03
  1. A.K.Mohanty, M.R.Senapati, P.K.Champati, S.K.Lenka, “Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions”, Studies in Computational Intelligence, Springer, Vol. 395/2012, pp.23-32, DOI: 10.1007/978-3-642-25507-6_3
  2. Sonali Dash, M.R.Senapati “Laws Energy Measure Based on Local Patterns for Texture Classification” Hybrid Computational Intelligence: Research and Application (HCIRA), CRC Press Taylor & Francis, pp. 131-152.
  3. A.K.Mohanty, M.R.Senapati, P.K.Champati, S.K.Lenka, “Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions”, Studies in Computational Intelligence, Springer, Vol. 395/2012, pp.23-32, DOI: 10.1007/978-3-642-25507-6_3
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