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Dr. Manas Ranjan Senapati  [Information Technology]

Manas Ranjan Senapati
Name : Dr. Manas Ranjan Senapati
Designation : Associate Professor
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
  • Qualification

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

    Data Mining
  • Experience

    1. Industry Experience: 1.5 years
    2. Teaching Experience: 24.5 years
  • Subject Teaching

    Graduate Level

    : Data Mining, Soft Computing, Programming in C, Artificial Intelligence

    Post Graduate Level

    : Data Mining, Soft Computing, Programming in C, Artificial Intelligence
  • Research Area

    Data Mining, Image Processing, Pattern Classification, Prediction
  • Research Guidance

    Ph. D. Candidates

    : 01 (Awarded), 02 (Continuing)

    M. Tech. Candidates

    : 09 Nos (Awarded)
  • Awards & Honours

    1.Received the Mother Teresa award for contribution towards research and teaching.
    2.Fellow of the Institution of Engineers India, 2015
  • Members of Professional Bodies

    1. Life Member ISTE (LM 76960)
    2. Fellow IE (F-1199109)
    3. Member International Association of Engineers: - 154246
  • Sponsored Projects & Consultancy

    DATA TO BE UPDATED...
  • Publications

    International Publications

    1.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.
    2.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.
    3.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
    4.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
    5.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
    6.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.
    7.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
    8.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.
    9.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
    10.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
    11.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.
    12.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.
    13.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.
    14.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
    15.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
    16.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.
    17.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
    18.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.
    19.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
    20.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.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.
    2.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.
    3.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.
    4.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.
    5.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.
    6.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.
    7.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.
    8.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.
    9.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.
    10.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.
    11.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.
  • Books/ Chapter Published

    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
  • Seminar/ Symposia/ Short term Course organized

    International Conference on Signal Processing, Communication, Power and Embedded System, International Conference, 3rd October 2016-05th October 2016.
  • Extra Responsibility

    • Vice President (Sports and Yoga) 2018 till date
    • Member Examination Committee 2017 till date
    • Member Anti Ragging Committee 2018
  • Other Informations

    • 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
  • Address for Communication

    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
Important Links
 
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