65 Years of Excellence

Information Technology

Name : Prof. Himanshu Sekhar Behera
Designation : Professor
Phone No. : +919437083891
Email Id : hsbehera_india@yahoo.com
Date of Joining : 05-07-2002

M.E., Comp Sc & Engineering, N.I.T, Rourkela (Formerly R.E.C, RKL) Ph.D., Computer Sc. & Engineering (B.P.U.T, RKL), LMIAENG, MISTE, MISTD, SMIACSIT, LMOITS, LMOMS, LMAIAER

Data Mining, Computational Intelligence, Soft Computing & Evolutionary Computation, Pattern Recognition, Distributed System

22 years

Graduate Level :
  1. Data Mining & Warehousing
  2. Software Engineering Computer Organization & Architecture
  3. Advanced Computer architecture
  4. Operating System
  5. Database Management System
  6. Relational Database Management System
  7. Micro Processor and ALP
Post Graduate Level :
  1. Advanced Operating System
  2. Data Mining and Warehousing
  3. Soft Computing
  4. Software Engineering
  5. Data Base Engineering
  6. Advanced Computer Organization and Architecture
  7. Management Information System

Time Sequence Data Mining using Soft Computing, Evolutionary Computation, Time Series Forecasting using Evolutionary neural Network, Developing Machine Intelligence using Natural and Adoptive Computation Techniques, Pattern Recognition, Hybridization of different natural/adoptive computation Technique to Construct an Intelligent System, Web Intelligence, Image Processing, Robotics, Financial Modeling and other Data Mining Applications

Ph. D. Candidates : 08 Awarded, 05 on going
  1. Sarat Nayak(2016)
  2. Bighnaraj Naik(2017)
  3. Janmenjay Nayak(2017)
  4. Pradipta Das (2018)
  5. Sibarama Panigrahi(2019)
  6. HimansuDas(2021)
  7. Kishore Kumar Sahu(2021)
  8. Radhamohan Pattanaik(2021)
M. Tech. Candidates : 13 No.s (Awarded), 02(Continuing till date)
  1. Program Chair, International Conference on Computational Intelligencein Pattern Recognition (CIPR 2020)Advances in Intelligent System and Computing, (Springer)
  2. EDITOR, Proceeding on International Conference on Intelligent Computing Communication and Control (ICCC 2020), Published in Lecture Notes in Electrical Engineering (Springer). ISBN 978-981-15-8439-8DOI 10.1007/978-981-15-8439-8.
  3. General Chair, International Conference on Intelligent Computing Communication and Control (ICCC 2020), Published in Lecture Notes in Electrical Engineering (Springer)
  4. Associate Editor, Special Issue on: “Recent Advances in Data Analysis with Computational Intelligence Techniques”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI-Global, ISSN: 2334-4598.
  5. Associate Editor, Special Issue on: “Recent Advances in Evolutionary and Natural Computing: Practice and Applications”, International Journal of Computational Systems Engineering , Inderscience, 2016,ISSN online: 2046-3405, ISSN print: 2046-3391.
  6. Associate Editor, Special Issue on: "Advances in Evolutionary Computation, Fuzzy Logic and Swarm Intelligence" International Journal of Swarm Intelligence, Inderscience, 2015, ISSN online: 2049-405X, ISSN print: 2049-4041
  7. Associate Editor, Special Issue on: "Data Mining and its Applications in Networking"International Journal of Computational Science and Engineering, Inderscience,2015 ISSN print: 1742-7185
  8. Associate Editor, Special Issue on: "Recent Advances in Fuzzy Logic, Machine Learning and Data Mining" International Journal Intelligent System Design and Computing, Inderscience, 2015ISSN online: 2052-8485 ISSN print: 2052-8477
  9. Associate Editor, Special Issue on: "Recent Advances in Machine Learning and Data Mining" International Journal of Data Sciences (IJDST),Inderscience, 2015 ISSN online: 2053-082X ISSN print: 2053-0811
  10. General Chair, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2021), Smart Innovation Systems and Technologies , Springer
  11. EDITOR, Computational Intelligence in Data Mining-Volume 1, 2018,Advances in Intelligent Systems and Computing, Springer, ISBN 978-981-13-8676-3
  12. General Chair, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2018) Advances in Intelligent Systems and Computing, Springer.
  13. EDITOR, Computational Intelligence in Data Mining-Volume 1, 2017,Advances in Intelligent Systems and Computing,Springer , ISBN 978-81-322-2734-2
  14. Program Chair, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2017) Advances in Intelligent Systems and Computing, Springer
  15. EDITOR, Intelligence in Computational Data Mining-Volume 1, 2016,Advances in Intelligent Systems and Computing, Springer.ISBN 978-981-10-3874-7
  16. Program Chair, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2016) Advances in Intelligent Systems and Computing, Springer
  17. Computational Intelligence in Data Mining-Volume 2, 2015, Advances in Intelligent Systems and Computing, Springer, ISSN: 2194-5357, ISBN 978-81-322-2729-8, Online ISBN: 978-81-322-2731-1 DOI 10.1007/978-81-322-2731-1.
  18. EDITOR, Computational Intelligence in Data Mining-Volume 1, 2015,Advances in Intelligent Systems and Computing, Springer, ISSN: 2194-5357, Print ISBN 978-81-322-2732-8, Online ISBN: 978-81-322-2734-2 DOI 10.1007/978-81-322-2734-2.
  19. Program Chair, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2015) Advances in Intelligent Systems and Computing, Springer
  20. EDITOR, Computational Intelligence in Data Mining-Volume 3 ,2014, Smart Innovation Systems and Technologies 31, Springer, ISBN 978-81-322-2201-9 ISSN:2190-3018, ISSN:2190-3026(Electronics), ISBN 978-81-322-2205-6(e-Book), DOI 10.1007/978-81-322-2202-6
  21. EDITOR, Computational Intelligence in Data Mining-Volume 2 ,2014, Smart Innovation Systems and Technologies, Springer, ISBN 978-81-322-2207-1, ISSN:2190-3018, ISSN:2190-3026(Electronics), ISBN 978-81-322-2208-8(e-Book), DOI 10.1007/978-81-322-2208-8.
  22. EDITOR,Computational Intelligence in Data Mining-Volume 1, 2014, Smart Innovation Systems and Technologies 31, Springer, ISBN: 978-82-322-2204-0, ISSN: 2190-3018, ISSN: 2190-3026(Electronics), ISBN 978-81-322-2205-7(e-Book), DOI 10.1007/978-81-322-2205-7.
  23. Convenor, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2014) Smart Innovation Systems and Technologies, Springer
  24. Observer Cum Chief Examiner for “O”, “A”, “B” & “C” Level Examination, NIELIT (DOEACC), Ministry of Communications and Information Technology, Govt. of India.
  25. Convenor of the Screening Committee for Accreditation of NIELIT (DOEACC) ‘O’ Level Course as per DOEACC Standard Operating Procedure(SOP), NIELIT, Ministry of Communications and Information Technology, Govt. of India.
  26. Chairman of the Screening Committee for Accreditation of NIELIT (DOEACC) Hardware CHM-‘A’ Level Course, National Institute of Electronics and Information Technology (NIELIT) Ministry of Communication and Information Technology, Govt. of India.
  27. Advisory Board Member, The World Academy of Research in Science & Engineering (WARSE).
  28. Member of Selection Committee, Odisha Public Service Commission (OPSC), Govt. of Odisha, for recruitment of Lecturer in Information Technology in O.T.E & T.S Cadre under Employment, Technical Education and Training Department, Govt. of Odisha.
  29. Listed in 32nd Edition (2015 32nd Edition). of Who's Who in the World 32nd Edition, “Marquis Who’s Who” USA. VIP Number: 36823026
  30. Distinguished Scientist Award (Nomination code - RA16ENNC829 and the Award Code - EN/DSA/Data Mining/AAP - III.) Vide F. No VIF/INV/ARM/2016 (AAP-II) Nov 11, 2016at Annual Research Meet-ARM 2016 (for development and innovation in the areas of Research and Development) by Venus International Foundation, (Estt. u/s Indian Trusts Act 1882 /ISO 9001:2008 Certified), Chennai, Tamil Nadu- 600088.
  1. Life Member - ISTD-Indian Society for Training and Development, (India)(B-677/2002/Mar2003 50940&51772 LM)
  2. Senior Member-International Association of Computer Science and Information Technology (IACSIT), Singapore. (Membership No. 80347410).
  3. Senior Member -International Association of Engineers (IAENG), Hong Kong (Membership No. 134124)
  4. Member - CSTA- Computer Science Teachers Association, USA (Membership No. 4250005)
  5. Global Member - ISOC- Internet Society, USA (Membership No. 388503)
  6. Member - ISOC- Internet Society, Kolkota Chapter (Membership No. 388412)
  7. Senior Member - UACEE - Universal Association of Computer and Electronics Engineering, (Membership No. SNM1004580)
  8. Member - SDIWC-The Society of Digital Information and Wireless Communication (Membership Number: 249)
  9. Life Member-OITS-Orissa Information Technology Society, BBSR, Odisha, India (Membership Number: L13/458)
  10. Life Member - OMS- Orissa Mathematical Society, BBSR, Odisha, India (Membership Number: LM-694/13)
  11. Life Member - AIAER-All India Association of Educational Research, India (Individual Life Membership Number: 3638)
  12. Life Member - ISTE-Indian Society for Technical Education, New Delhi, India.
  13. Member - The IAENG Society of Artificial Intelligence, Hong Kong
  14. Member - The IAENG Society of Computer Science, Hong Kong
  15. Member - The IAENG Society of Data Mining, Hong Kong
  16. Member - The IAENG Society of Scientific Computing, Hong Kong
DATA TO BE UPDATED...

International Publications

  1. H. Swapnarekha, H. S. Behera, D. Roy, S. Das, and J. Nayak, “Competitive Deep Learning Methods for COVID-19 Detection using X-ray Images,” J. Inst. Eng. Ser. B, pp.1-14,Apr. 2021, doi: 10.1007/s40031-021-00589-3. [SPRINGER] [SCOPUS] [IMPACT FACTOR:0.88][h-Index:13]
  2. H. Swapnarekha, H. S. Behera, J. Nayak, and B. Naik, “Covid CT-net: A deep learning framework for COVID-19 prognosis using CT images,” J. Interdiscip. Math., vol. 24, no. 2, pp. 327–352, Feb. 2021, doi: 10.1080/09720502.2020.1857905. [Taylor &Francis][SCOPUS][IMPACT FACTOR:0.64] [h-Index:14]
  3. P. Suresh Kumar, H. S. Behera, J. Nayak, and B. Naik, “Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature,” Innov. Syst. Softw. Eng., May 2021, doi: 10.1007/s11334-021-00399-2. [SPRINGER] [ESCI, SCOPUS] [IMPACT FACTOR: 1.07] [h-Index:27]
  4. P. Suresh Kumar, H. S. Behera, J. Nayak, and B. Naik, “A pragmatic ensemble learning approach for effective software effort estimation,” Innov. Syst. Softw. Eng., Jan. 2021, doi: 10.1007/s11334-020-00379-y. [SPRINGER] [ESCI, SCOPUS] [IMPACT FACTOR: 1.07] [h-Index:27]
  5. D. K. K. Reddy, H. S. Behera, J. Nayak, B. Naik, U. Ghosh, and P. K. Sharma, “Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment,” Journal of Information Security and Applications, vol. 60, no. June, p. 102866, Aug. 2021, doi: 10.1016/j.jisa.2021.102866. [ELSEVIER, SCIENCEDIRECT][SCIE, SCOPUS] [IMPACT FACTOR: 3.872] [h-Index:40]
  6. D. K. Reddy, H. S. Behera, J. Nayak, P. Vijayakumar, B. Naik, and P. K. Singh, “Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities,” Transactions on Emerging Telecommunications Technology, vol. 32, no. 7, pp. 1–26, Jul. 2021, doi:10.1002/ett.4121. [WILEY] [SCIE, SCOPUS] [IMPACT FACTOR: 2.638] [h-Index:47]
  7. K.K. Sahu, S.C. Nayak, H. S. Behera, Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Karbala International Journal of Modern Science, 7.1 (2021): 48-60 (University of Kerbala, Scopus Journal, Unpaid)[SCOPUS] [IMPACT FACTOR: 2.93] [h-Index:17]
  8. Pattanayak, R.M., Behera, H.S., Panigrahi, S.: A Non-Probabilistic Neutrosophic Entropy Based Method For High-Order Fuzzy Time-Series Forecasting. Arabian Journal for Science and Engineering, 1-23 (2021), Springer, ( SCI, Scopus ). (IF: 2.334). https://doi.org/10.1007/s13369-021-05718-0[SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
  9. Das, H., Naik, B., &Behera, H. S., (2021). ”Optimal Selection of Features using Artifificial Electric Field Algorithm for Classification”, Arabian Journal for Science and Engineering, Springer. DOI: https://doi.org/10.1007/s13369-021-05486-x [SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
  10. H. Swapnarekha, H. S. Behera, J. Nayak, and B. Naik, “Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review,” Chaos, Solitons & Fractals, vol. 138, p. 109947, Sep. 2020, doi: 10.1016/j.chaos.2020.109947. [ELSEVIER, SCIENCEDIRECT] [SCI] [IMPACT FACTOR: 3.764] [h-Index:139]
  11. P. S. Kumar, H. S. Behera, K. Anisha Kumari, J. Nayak, and B. Naik, “Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades,” Computer Science Review, vol. 38. p. 100288, Nov. 2020, doi: 10.1016/j.cosrev.2020.100288. [ELSEVIER, SCIENCEDIRECT] [Indexing: SCIE, SCOPUS] [IMPACT FACTOR: 7.707] [h-Index:44]
  12. Pattanayak, R.M., Panigrahi, S., Behera, H.S.: High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine. Arabian Journal for Science and Engineering, Springer ( SCI, Scopus ), 45, 10311–10325 (2020). https://doi.org/10.1007/s13369-020-04721-1[Indexing: SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
  13. Pattanayak, R.M., Behera, H.S., Panigrahi, S.: A Novel Probabilistic Intuitionistic FuzzySet Based Model for High Order Fuzzy Time Series Forecasting. Engineering Applications of Artificial Intelligence,https://doi.org/10.1016/j.engappai.2020.104136 [ELSEVIER, ScienceDirect] [Indexing: SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:104]
  14. Das, H., Naik, B., &Behera, H. S., (2020). ”A Jaya Algorithm based Wrapper Method for Optimal Feature Selection in Supervised Classification”. Journal of King Saud University - Computer and Information Sciences, DOI: 10.1016/j.jksuci.2020.05.002 (SCI, Scopus) IF: 13.473 (In Press) [ELSEVIER, ScienceDirect] [ SCOPUS, SCIE ][IMPACT FACTOR: 13.473] [h-Index:33]
  15. Das, H., Naik, B., Behera, H. S., Jaiswal, S., Mahato, P., & Rout, M., (2020). ”Biomedical Data Analysis using Neuro-Fuzzy Model with Post-feature Reduction”, Journal of King Saud University - Computer and Information Sciences, DOI: 10.1016/j.jksuci.2020.01.007 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS][IMPACT FACTOR: 13.473] [h-Index:33]
  16. Das, H., Naik, B., &Behera, H. S., (2020). ”A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification”, Volume:2020, pp. 1-15, Advances in Fuzzy System, Hindawi. DOI: 10.1155/2020/4152049 [SCOPUS][IMPACT FACTOR: 1.71] [h-Index:19]
  17. Das, H., Naik, B., &Behera, H. S., (2020). ”Medical Disease Analysis using Neuro-Fuzzy with Feature Extraction Model for Classification”,Volume: 18, pp. 1-12, Informatics in Medicine Unlocked, DOI: 10.1016/j.imu.2019.100288 [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 2.110] [h-Index:21]
  18. K.K. Sahu, S.C. Nayak, H. S. Behera, Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment, Computer Science 21.4 (2020): 463-489. [SCOPUS ][IMPACT FACTOR: 0.81] [h-Index:28]
  19. Sibarama Panigrahi, and Himansu Sekhar Behera. "A study on leading machine learning techniques for high order fuzzy time series forecasting." Engineering Applications of Artificial Intelligence 87 (2020): 103245. ISSN: 0952-1976. [ELSEVIER, ScienceDirect], [SCI, Scopus][IMPACT FACTOR: 6.21] [h-Index:104]
  20. Sibarama Panigrahi, and H. S. Behera. "Time Series Forecasting Using Differential Evolution-Based ANN Modelling Scheme." Arabian Journal for Science and Engineering 45.12 (2020): 11129-11146. ISSN: 2191-4281 [Springer] [IMPACT FACTOR:2.33][SCI, Scopus] [h-Index: 43]
  21. Sibarama Panigrahi, and Himansu Sekhar Behera. "Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model." International Journal of Computational Intelligence Studies 8, no. 1-2, 4-26, 2019. [SCIE, SCOPUS] [IMPACT FACTOR: 1.83] [H-index:38]
  22. Sibarama Panigrahi, and Himansu Sekhar Behera. “A computationally efficient method for high order fuzzy time series forecasting.” Journal of Theoretical & Applied Information Technology, 96, pp.7215-7226, 2018. [Scopus, SCI, UGC Care Listed] [IMPACT FACTOR: 0.60] [H-index:29]
  23. Sibarama Panigrahi, and Himansu Sekhar Behera. "A hybrid ETS–ANN model for time series forecasting." Engineering Applications of Artificial Intelligence 66 (2017): 49-59. ISSN: 0952-1976 [ELSEVIER, ScienceDirect] [SCI, Scopus] [IMPACT FACTOR: 6.21] [h-Index:104]
  24. P. K. Das, H. S. Behera, P. K. Jena, and B. K. Panigrahi. An Intelligent Multi- Robot Path Planning in a Dynamic Environment Using Improved Gravitational Search Algorithm. International Journal of Automation and Computing, Vol-7, pages 1-13, 2016.[SPRINGER][Indexing: SCI, SCOPUS][IMPACT FACTOR: 3.17] [h-Index:36]
  25. K.K. Sahu, S.R. Sahu, G.R. Biswal, P.K. Sahu, H. S. Behera, Chemical reaction optimisation : a hybrid technique applied to functional link artificial neural networks with least mean square learning for foreign exchange rates forecasting, International Journal of Swarm Intelligence 2.2-4 (2016): 254-282. [InderScience] [Google Scholar, J-Gate]
  26. JanmenjoyNayak, Bighnaraj Naik, D. P., Kanungo, H. S. Behera “A Hybrid Elicit Teaching Learning based Optimization with Fuzzy c-means (ETLBO-FCM) Algorithm for Data Clustering”, Ain Shams Engineering Journal, DOI: http://dx.doi.org/10.1016/j.asej.2016.01.010, 2016.[ELSEVIER, ScienceDirect][SCIE SCOPUS][IMPACT FACTOR: 3.180] [h-Index:46]
  27. Bighnaraj Naik, Janmenjoy Nayak and H. S. Behera, “A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, 2016 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS][IMPACT FACTOR:13.473][h-Index:33]
  28. Bighnaraj Naik, Janmenjoy Nayak and H. S. Behera, “A self adaptive harmony search based functional link higher order ANN for non-linear data classification”, Neurocomputing,2016. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 5.719] [h-Index:143]
  29. P.K. Das, H. S. Behera, P. K. Jena, B.K. Panigrahi, “An Intelligent Multi-Robot Path Planning in a dynamic Algorithm”, International Journal of Automation and Computing, Springer, ISSN: 1476-8186 2016. [SCIE, SCOPUS][IMPACT FACTOR: 3.17] [h-Index:36]
  30. S.C.Nayak, B.Misra, H. S. Behera “Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks”, International Journal of Swarm Intelligence, ISSN print: 2049-4041, Vol – 2, Issue – 2-4, pp – 229-253, 2016. [InderScience] [Google Scholar, J-Gate, ProQuest Advanced Technologies Database with Aerospace]
  31. K.K.Sahu, S.R.Sahu, G.R.Biswal, P.K.Sahu, H. S. Behera “Chemical Reaction Optimization: A Hybrid technique applied to Functional Link Artificial Neural Networks with Least Mean Square Learning for Foreign Exchange Rates Forecasting”, International Journal of Swarm Intelligence, ISSN print: 2049-4041, 2016. [InderScience] [Google Scholar, J-Gate]
  32. K.K.Sahu, S.R.Sahu, S.C.Nayak, H. S. Behera “Forecasting Foreign Exchange Rates Using CRO Based Different Variants of FLANN and Performance Analysis”, International Journal of Computational System Engineering,2016. [Inderscience] [SCIE, SCOPUS][IMPACT FACTOR: 1.838] [h-Index:21]
  33. JanmenjoyNayak, BighnarajNaik, H. S. Behera “Solving nonlinear Classification Problems with Black Hole Optimization and Higher Order Jordan Pi-sigma Neural Network: A Novel Approach”, International Journal of Computational System Engineering, 2016. [Inderscience][ SCIE, SCOPUS][IMPACT FACTOR: 1.838] [h-Index:21]
  34. P.K., Das, H.S., Behera, S.K., Pradhan, H.K., Tripathy and P.K., Jena 2017. “Improved real time A*-fuzzy controller for improving multi-robot navigation and its performance analysis”. International Journal of Data Science, 2(2), pp.105-137. [Inderscience] [Google Scholar, J-Gate]
  35. S. R., Sahu, D.P., Kanungo, and H. S. Behera “A Modified Fruit Fly Optimization for Classification of Financial Distress using FLANN”, International Journal of Data Science (IJDS), 2, no. 2 (2017): 155-172. [Inderscience] [Google Scholar, J-Gate]
  36. Bighnaraj Naik, JanmenjoyNayak and H. S. Behera, “An efficient FLANN Model with CRO based Gradient Descent Learning for Classification”, International Journal of Business Information Systems(IJBIS), Inderscience, Vol.21, No.1, pp.73 – 116, ISSN: 1746-0972, 2016.[Inderscience] [SCOPUS][IMPACT FACTOR: 0.95] [h-Index:26]
  37. D. P., Kanungo, Janmenjoy Nayak, B., Naik and H. S. Behera, “Hybrid Clustering using Elitist Teaching Learning based Optimization- An Improved Hybrid Approach of TLBO”, International Journal of Rough Sets and Data Analysis (IJRSDA), ISSN: 2334-4598,Vol. 3(1), pp. 1-19, 2016. [IGI-Global], [ACM Digital Library, Google Scholar]
  38. Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "A novel Chemical Reaction Optimization based higher order Neural Network (CRO-HONN) for nonlinear classification." Ain Shams Engineering Journal,Volume 6, Issue 3, September 2015, pp. 1069-1091, ISSN: 2090-4479, SNIP: 0.932, DOI:10.1016/j.asej.2014.12.013, 2015. [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 3.180] [h-Index:46]
  39. S. C., Nayak, B. B., Mishra, and H. S. Behera, “Artificial Chemical Reaction Optimization of Neural Networks for Efficient Prediction of Stock Market Index”, Ain Shams Engineering Journal, ISSN: 2090-4479, 2015, DOI:10.1016/j.asej.2014.12.013,2015. [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 3.180] [h-Index:46]
  40. BighnarajNaik, JanmenjoyNayak and H. S. Behera, “A Global-best Harmony Search based Gradient Descent Learning FLANN (GbHS-GDL-FLANN) for Data Classification”, Egyptian Informatics Journal, ISSN: 1110-8665, 2015. [ELSEVIER, ScienceDirect] [SCIE][IMPACT FACTOR: 3.943] [h-Index:34]
  41. Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "A novel nature inspired firefly algorithm with higher order neural network: Performance analysis”, Engineering Science and Technology, an International Journal, ISSN: 2215-0986,2015 [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 4.36] [h-Index:50]
  42. P.K. Das, H. S. Behera, B.K. Panigrahi, “A hybridization of an Improved Particle Swarm optimization and Gravitational Search Algorithm for Multi-Robot Path Planning”, Swarm and Evolutionary Computation, ISSN: 2210-6502, 2015 [ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 7.177][h-Index:65]
  43. P.K. Das, H. S. Behera, S. Das, H.K. Tripathy, B.K. Panigrahi, S.K. Pradhan, “A Hybrid Improved PSO-DV Algorithm for Multi-Robot Path Planning in a Clutter Environment”,Neurocomputing,2015. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 5.719] [h-Index:143]
  44. P.K. Das, H. S. Behera, B.K. Panigrahi, “Intelligent-based multi-robot path planning inspired by improved Classical Q-learning and improved particle swarm optimization with perturbed velocity”, Engineering Science and Technology, an International Journal, ISSN: 2215-0986,2015 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS-SCIE][IMPACT FACTOR: 4.36] [h-Index:50]
  45. P.K. Das, H. S. Behera, B.K. Panigrahi, “Multi-Robot Path Planning in a dynamic environment using Improved Gravitational Search Algorithm”, Journal ofElectrical Systems and Information Technology, ISSN: 2314-7172,2015 [ELSEVIER, ScienceDirect]
  46. Bighnaraj Naik, Janmenjoy Nayak, H. S. Behera and A. Abraham, “An improved harmony search-based functional link higher order ANN for nonlinear data classification”, International Journal of Intelligent Systems Design and Computing, ISSN: 2052-8477, 2015 (In Press). [Inderscience][SCOPUS][IMPACT FACTOR: 0.78]
  47. S R Sahu and H. S. Behera “A hybrid CRO-based FLANN for financial stock market forecasting” International Journal of Data Analysis Techniques and Strategies, Inderscience (Scopus, ACM Digital Library, Google Scholar, Inspec ,Institution of Engineering and Technology), 2015. [SCOPUS][IMPACT FACTOR: 0.50] [h-Index:15]
  48. S. C., Nayak, B. B., Mishra, and H. S. Behera, “Exploration and Incorporation of Virtual Data Position for Efficient Forecasting of Financial Time Series”, International Journal of Industrial and Systems Engineering, ISSN: 1748-5037, 2015.[Inderscience] [SCOPUS][IMPACT FACTOR: 0.85] [h-Index:27]
  49. H. S. Behera, Janmenjoy Nayak, M., Nanda and K., Nayak, “A Novel Hybrid Approach for Real World Data Clustering Algorithm based on Fuzzy C-means and Firefly Algorithm (FCM-FA)”, International Journal of Fuzzy Computation and Modelling, ISSN : 2052-353X, Vol. 1(4), pp. 431-448, 2015. [Inderscience] [Google Scholar, J-Gate]
  50. H. S. Behera, M Nanda, K Nayak, Janmenjoy Nayak, “A Hybrid Fuzzy Firefly based Evolutionary Radial Basis Functional Network for Classification “, International Journal of Information Processing, Vol. 9 (3), pp. 76-91, 2015, ISSN: 0973–8215. [Google Scholar, arXiv, Indian Citation Index, getCITED]
  51. S. C., Nayak, B. B., Mishra, and H. S. Behera, “An adaptive second order neural network with genetic algorithm based training (ASONN-GA) to forecast the closing prices of the stock market”, International Journal of Applied Metaheuristic Computing, 2015.[IGI Global] [ACM Digital Library, DBLP, INSPEC, Google Scholar] [IMPACT FACTOR: 0.6607] [h-Index:4]
  52. S. C., Nayak, B. B., Mishra, and H. S., Behera, “A neuro-fuzzy hybrid network for stock future index forecasting”,International Journal of Computer Science and Technology, Vol. 5, pp. 95-100,2014. [DOAJ. Google Scholar]
  53. Janmenjoy Nayak, Bighnaraj Naik and H. S. Behera."A Comprehensive Survey on Support Vector Machine in Data Mining Tasks: Applications & Challenges." International Journal of Database Theory and Application, Vol. 8(1), pp. 169-186, 2014.[Google Scholar, ULRICH][IMPACT FACTOR: 0.242] [h-Index:4]
  54. S. C., Nayak, B. B., Mishra, and H. S., Behera, “Soft and Evolutionary Computing Techniques for Stock Market Forecasting: A Survey”, European Journal of Academic Essays, Vol. 2,2014.[Google Scholar]
  55. S.C.Nayak, B.B.Mishra and H. S. Behera, “Impact of Data Normalization on Stock Index Forecasting”, International Journal of Computer Information Systems and Industrial Management Applications, ISSN 2150-7988, Vol 6, pp. 257 – 269, 2014.[SCI, SCOPUS][IMPACT FACTOR: 0.33] [h-index:6]
  56. K.K.Sahu, SibaramaPanigrahi and H. S. Behera, “A novel Chemical Reaction Optimization Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information Technology, E-ISSN 1817-3195 / ISSN 1992-8645, IF: 1.71, Vol. 53, issue 3, July 2013, pp 402-409.[ELSEVIER, ScienceDirect] [ SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
  57. JosabantaKarali, SibaramaPanigrahi and H. S. Behera, “A Novel Differential Evolution Based Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information Technology E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 56, Issue No. 2, pp 355-361, Oct 2013.[ELSEVIER, ScienceDirect] [ SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
  58. Josabanta Karali, SibaramaPanigrahi, H. S. Behera, “A Novel Differential Evolution Based Algorithm for Higher Order Neural Network Training”,Journal of Theoretical and Applied Information Technology E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 56 Issue 2, pp 355-361, 2013. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
  59. K.K.Sahu, Sibarama Panigrahi and H. S. Behera, “A novel Chemical Reaction Optimization Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information, E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 53 Issue 3, pp 402-409, 2013. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
  60. Archana Baral and H. S. Behera, “A Novel Chemical Reaction Based Clustering and its Performance Analysis”,International Journal of Business Intelligence and Data Mining, ISSN: 1743-8187,Vol 8 No. 2, pp 184-198, 2013. [Inderscience,ACM Digital Library] [SCOPUS][IMPACT FACTOR: 0.61] [h-Index:19]
  61. B.Biswal, H. S. Behera, R.Bisoi and P.K.Dash “Classification of Power Quality Data Using Decision Tree and Chemotactic Differential Evolution Based Fuzzy Clustering” Swarm and Evolutionary Computation, ISSN: 2210-6502, Vol. 4, pp. 12-24, 2012. [ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 7.177] [h-Index:65]
  62. H. S. Behera, Ritesh Kumar Jha, RakeshMohanty, Sukant Kumar Bishi, “Off-Line List Accessing Algorithms With Circular Doubly Linked List And Partial Cost Mode”, Journal of Current Trends in Information Technology, STM Journals, ISSN:2249- 4707, Vol 1, Issue 1, PP 16-22, 2011.[DOAJ,J-Gate, Index Copernicus, Worldcat]
  63. H. S. Behera, Jajnaseni Panda, Dipanwita Thakur, SubasiniSahoo, “A Clustering Based CPU Scheduling Algorithm for Real Time Systems”, International Journal of Current Trends in Information Technology, STM Journals, ISSN 2249- 4707, Vol 1, Issue 1, PP 1-7, 2011.[DOAJ,J-Gate, Index Copernicus, Worldcat]
  64. H. S. Behera>, P. K. Dash and B Biswal, “Power Quality Time Series Data Mining using S-Transform and Fuzzy Expert System” Journal of Applied Soft Computing, ISSN No. 1568-4946, IF: 2.970, Vol 10, Issue 3, pp 945-955, 2010.[ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 6.725] [h-Index:143]
  65. P. K. Dash, H. S. Behera and IWC Lee "Time Sequence Data Mining using Time- Frequency Analysis and Soft computing Techniques", Journal of Applied Soft Computing, ISSN No. 1568-4946, IF: 2.970, Vol:8 Issue 1, pp. 212-226, Jan 2008.[ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 6.725] [h-Index:143]

Conferences

  1. D. K. K. Reddy, H. S. Behera, G. M. S. Pratyusha, and R. Karri, “Ensemble Bagging Approach for IoT Sensor Based Anomaly Detection,” in Lecture Notes in Electrical Engineering, vol. 702, 2021, pp. 647–665. [SPRINGER] [SCOPUS]
  2. H. S. Rekha, H. S. Behera, J. Nayak, and B. Naik, “Deep Learning for COVID-19 Prognosis: A Systematic Review,” in Lecture Notes in Electrical Engineering, 2021, vol. 702, pp. 667–687, doi: 10.1007/978-981-15-8439-8_53. [SPRINGER] [SCOPUS]
  3. H. Swapna Rekha, J. Nayak, and H. S. Behera, “Pi-Sigma Neural Network: Survey of a Decade Progress,” in Advances in Intelligent Systems and Computing, 2020, vol. 1120, pp. 429–441, doi: 10.1007/978-981-15-2449-3_37. [SPRINGER] [Scopus]
  4. P. Suresh Kumar and H. S. Behera, “Estimating Software Effort Using Neural Network: An Experimental Investigation,” in Computational Intelligence in Pattern Recognition, 2020, vol. 1120, pp. 165–180, doi: 10.1007/978-981-15-2449-3_14. [SPRINGER] [SCOPUS]
  5. P. Suresh Kumar and H. S. Behera, “Role of Soft Computing Techniques in Software Effort Estimation: An Analytical Study,” in Computational Intelligence in Pattern Recognition, 2020, pp. 807–831, doi: 10.1007/978-981-13-9042-5_70. [SPRINGER] [SCOPUS]
  6. D. K. K. Reddy and H. S. Behera, “Software Effort Estimation Using Particle Swarm Optimization: Advances and Challenges,” in Computational Intelligence in Pattern Recognition, 2020, 2020, pp. 243–258, doi: 10.1007/978-981-15-2449-3_20. [SPRINGER] [SCOPUS]
  7. Pattanayak, R. M., H. S. Behera, & Panigrahi, S.: A multi-step-ahead fuzzy time series forecasting by using hybrid chemical reaction optimization with pi-sigma higher-order neural network. In: Computational Intelligence in Pattern Recognition. pp. 1029–1041 (2020), Springer, Singapore. SPRINGER International Publishing. https://doi.org/10.1007/978-981-13-9042-5_88[SPRINGER] [SCOPUS]
  8. Pattanayak, R. M., H. S. Behera,& Panigrahi, S.: A novel Hybrid Differential Evolution-PSNN for Fuzzy Time Series forecasting. In: Computational Intelligence in Data Mining. pp. 675–687 (2020), Springer, Singapore. SPRINGER International Publishing https://doi.org/10.1007/978-981-13-8676-3_57[SPRINGER] [SCOPUS].
  9. Pattanayak, R. M., H. S. Behera, & Rath, R.K.: A Higher Order Neuro-Fuzzy Time Series Forecasting Model Based on Un-equal Length of Interval. In: International Conference on Application of Robotics in Industry using Advanced Mechanisms. pp. 34–45 (2020). SPRINGER International Publishing, https://doi.org/10.1007/978-3-030-30271-9_4 [SPRINGER][SCOPUS].
  10. Das, H., Naik, B., &H. S. Behera (2020). An Experimental Analysis of Machine Learning Classification Algorithms on Biomedical Data. In Proceedings of the 2nd International Conference on Communication, Devices and Computing (pp. 525-539). [Springer][SCOPUS]
  11. S. Panigrahi, H. S. Behera "Fuzzy Time Series Forecasting: A Survey," Computational Intelligence in Data Mining. Springer, Singapore, 2020. 641-651.ISBN:978-981-10-8054-8[Springer][SCOPUS]
  12. S. Panigrahi, H. S. Behera "An Adaptive Fuzzy Filter-Based Hybrid ARIMA-HONN Model for Time Series Forecasting," Computational Intelligence in Data Mining. Springer, Singapore, 2019. 841-850.ISBN:978-981-10-8054-8. [Springer][SCOPUS]
  13. K.K. Sahu, S.C. Nayak, H. S. Behera, Towards Designing and Performance Analysis of Evolving Higher Order Neural Networks for Modeling and Forecasting Exchange Rate Time Series Data, in: Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering, Springer International Publishing, Cham, 2020: pp. 258–268. [Springer][SCOPUS]
  14. S. Panigrahi, H. S. Behera, “Time Series Forecasting using a hybrid Jaya-FLANN model,” In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), 2018, pp. 3402-3407. IEEE.[Springer][SCOPUS]
  15. Pattanayak R.M., B.H.S.: Higher order neural network and its applications: A comprehensive survey. In: Advances in Intelligent Systems and Computing. pp. 695–709 (2018), Springer, Singapore. SPRINGER International Publishing. [SCOPUS] https://doi.org/10.1007/978-981-10-7871-2_67
  16. Das, Himansu, Bighnaraj Naik, and H. S. Behera. "Classification of diabetes mellitus disease (DMD): a data mining (DM) approach." In Progress in computing, analytics and networking, pp. 539-549. Springer, Singapore, 2018. [Springer][SCOPUS]
  17. Kishore Kumar Sahu, Sarat Chandra Nayak, H. S. Behera, An integrated CRO and Pi-Sigma neural network based forecasting model for financial time series with virtual data positions, in: Pap. Present. to ICPCIT-2017, MITS, Madanapalle, Chittoor Dist. Andhra Pradesh, India. 29 April 2017, (2017). [SPRINGER] [SCOPUS]
  18. Nayak, Janmenjoy, BighnarajNaik, and H. S. Behera, “Optimizing a Higher Order Neural Network Through Teaching Learning Based Optimization Algorithm”, Advances in Intelligent Systems and Computing, Volume 410, pp 57-71, Springer, 2016, ISBN: 978-81-322-2734-2.[SCOPUS]
  19. Nayak, S. K., Nayak, S.C. and H. S. Behera, “Evolving Low Complex Higher Order Neural Network Based Classifiers for Medical Data Classification”, Advances in Intelligent Systems and Computing, Volume 411, pp 415-425,Springer, 2016, ISBN: 978-81-322-2729-8.[SCOPUS]
  20. D. P. Kanungo, JanmenjoyNayak, Bighnaraj Naik&H. S. Behera, “Non-Linear Classification using Higher Order Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An Experimental Analysis”, Advances in Intelligent Systems and Computing, Springer, Volume 411, pp 507-518, Springer, 2016, ISBN: 978-81-322-2729-8.DOI - 10.1007/978-81-322-2731-1_48 [SCOPUS]
  21. Naik, Bighnaraj, JanmenjoyNayak, and H. S. Behera, “A FLANN Based Non-linear System Identification for Classification and Parameter Optimization Using Tournament Selective Harmony Search”, Advances in Intelligent Systems and Computing, Volume 411, pp 267-283, Springer, 2016, ISBN: 978-81-322-2729-8.[SCOPUS]
  22. P. K. Das, B. M. Sahoo, H. S. Behera, and S. Vashisht. An improved particle swarm optimization for multi-robot path planning. In International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH), IEEE, pages 97-106, 2016.[SCOPUS]
  23. S. Panigrahi, H. S. Behera, A. Abraham "A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting," International Conference on Soft Computing and Pattern Recognition. Springer, Cham, 2016.ISBN:978-3-319-60617-0.[SCOPUS]
  24. K.K. Sahu, G.R. Biswal, P.K. Sahu, S.R. Sahu, H. S. Behera, A CRO Based FLANN for Forecasting Foreign Exchange Rates Using FLANN. In: Jain L., Behera H., Mandal J., Mohapatra D. (eds) Computational Intelligence in Data Mining - Volume 1. Smart Innovation, Systems and Technologies, vol 31 (2015) 647–664. [SPRINGER] [SCOPUS].
  25. JanmenjoyNayak, D. P., Kanungo, Bighnaraj, Naik and H. S. Behera. “Evolutionary Improved Swarm-Based Hybrid K-Means Algorithm for Cluster Analysis”, In Proceedings of the Second International Conference on Computer and Communication Technologies (pp. 343-352), 2015. Springer India [SCOPUS]
  26. Bighnaraj, Naik, JanmenjoyNayak and H. S. Behera. "A Honey Bee Mating Optimization Based Gradient Descent Learning–FLANN (HBMO-GDL-FLANN) for Classification." Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2, 2015. Springer International Publishing [SCOPUS]
  27. Das, P. K., H. S. Behera, S. K. Pradhan, H. K. Tripathy, and P. K. Jena. "A Modified Real Time A* Algorithm and Its Performance Analysis for Improved Path Planning of Mobile Robot." In Computational Intelligence in Data Mining-Volume 2, pp. 221-234. Springer India, 2015, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_21.[SCOPUS]
  28. Behera, N. K. S., A. R. Routray, JanmenjoyNayak, and H. S. Behera. "Bird Mating Optimization Based Multilayer Perceptron for Diseases Classification." In Computational Intelligence in Data Mining-Volume 3, pp. 305-315. Springer India, 2015, ISBN: 978-81-322-2201-9.DOI - 10.1007/978-81-322-2202-6_27, DOI - 10.1007/978-81-322-2208-8_29. [SCOPUS]
  29. M. R. Panda, P. K. Das, S. K. Pradhan, and H. S. Behera. An improved gravitational search algorithm and its performance analysis for multi-robot path planning. In International Conference on Man and Machine Interfacing (MAMI), IEEE pages 1-8, 2015.[SCOPUS]
  30. S. C. Nayak, B. B. Mishra and H. S. Behera, “Comparison of Performance of Different Functions in Functional Link Artificial Neural Network: A Case Study on Stock Index Forecasting”, Smart Innovation, Systems and Technologies, Volume 31, pp 479-487, 2015. [Springer][SCOPUS],
  31. S. C. Nayak, B. B. Misra and H. S. Behera, “A Pi-Sigma Higher Order Neural Network for Stock Index Forecasting”, Smart Innovation, Systems and Technologies, Volume 32, pp 311-319, 2015. [Springer], [SCOPUS],
  32. Dash, Tirtharaj, Sanjib Kumar Nayak, and H. S. Behera. "Hybrid Gravitational Search and Particle Swarm Based Fuzzy MLP for Medical Data Classification." In Computational Intelligence in Data Mining-Volume 1, pp. 35-43. SpringerIndia, 2015, ISBN: 978-81-322-2204-0.DOI - 10.1007/978-81-322-2205-7_4.[SCOPUS]
  33. Nayak, S., C. Panda, Z. Xalxo, and H. S. Behera. "An Integrated Clustering Framework Using Optimized K-means with Firefly and Canopies." In Computational Intelligence in Data Mining-Volume 2, pp. 333-343. Springer India, 2015, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_31.[SCOPUS]
  34. Behera, N. K. S., Sahoo, M. K. and H. S. Behera, "HOG Based Radial Basis Function Network for Brain MR Image Classification." In Computational Intelligence in Data Mining-Volume 1, pp. 45-56. Springer India, 2015, ISBN: 978-81-322-2204-0.DOI - 10.1007/978-81-322-2205-7_5.[SCOPUS]
  35. R. C. Barik, R. Pati and H. S. Behera “Robust Signal Processing Compression for Clustering of Speech Waveform and Image Spectrum” International Conference on 4th IEEE International Conference on Communication and SignalProcessing-ICCSP'15, Melmaruvathur, Tamilnadu, India – 603319, April 2015. (DOI - 10.1109/ICCSP.2015.7322833). [SCOPUS]
  36. Nayak, Janmenjoy, BighnarajNaik, and H. S. Behera. "Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review from 2000 to 2014." Computational Intelligence in Data Mining-Volume 2. Springer India, 2015. pp. 133-149, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_14.[SCOPUS]
  37. Das, Himansu, Ajay Kumar Jena, JanmenjoyNayak, BighnarajNaik, and H. S. Behera. "A Novel PSO Based Back Propagation Learning-MLP (PSO-BP-MLP) for Classification." In Computational Intelligence in Data Mining-Volume 2, pp. 461-471. Springer India, 2015, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_42.[SCOPUS]
  38. Sahu, S. R., D. P. Kanungo, and H. S. Behera. "Hybrid CRO Based FLANN for Financial Credit Risk Forecasting." Computational Intelligence in Data Mining-Volume 1. Springer India, 2015. PP. 57-65, ISBN: 978-81-322-2204-0.DOI - 10.1007/978-81-322-2205-7_6.[SCOPUS]
  39. Naik, Bighnaraj, JanmenjoyNayak, H. S. Behera, and Ajith Abraham. "A Harmony Search Based Gradient Descent Learning-FLANN (HS-GDL-FLANN) for Classification." In Computational Intelligence in Data Mining-Volume 2, pp. 525-539. Springer India, 2015, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_48.[SCOPUS]
  40. Prasad, Chanda, S. Mohanty, BighnarajNaik, JanmenjoyNayak, and H. S. Behera. "An Efficient PSO-GA Based Back Propagation Learning-MLP (PSO-GA-BP-MLP) for Classification." In Computational Intelligence in Data Mining-Volume1, pp.517-527, Springer India, 2015, ISBN: 978-81-322-2204-0.DOI - 10.1007/978-81-322-2205-7_48.[SCOPUS]
  41. Nayak, Janmenjoy, BighnarajNaik, H. S. Behera, and Ajith Abraham. "Particle Swarm Optimization Based Higher Order Neural Network for Classification." In Computational Intelligence in Data Mining-Volume 1, pp. 401-414. SpringerIndia, 2015, ISBN: 978-81-322-2204-0.DOI - 10.1007/978-81-322-2205-7_38.[SCOPUS]
  42. Sahoo, M. K., JanmenjoyNayak, S. Mohapatra, B. K. Nayak, and H. S. Behera. "Character Recognition Using Firefly Based Back Propagation Neural Network." In Computational Intelligence in Data Mining-Volume 2, pp. 151-164.Springer India, 2015, ISBN: 978-81-322-2207-1.DOI - 10.1007/978-81-322-2208-8_15.[SCOPUS]
  43. Kanungo, D. P., BighnarajNaik, JanmenjoyNayak, SaradaBaboo, and H. S. Behera. "An Improved PSO Based Back Propagation Learning-MLP (IPSO-BP-MLP) for Classification." In Computational Intelligence in Data Mining-Volume 1, pp. 333-344. Springer India, 2015, ISBN: 978-81-322-2204-0.DOI- 10.1007/978-81-322-2205-7_32.[SCOPUS]
  44. Nayak, Janmenjoy, BighnarajNaik, D. P. Kanungo, and H. S. Behera. "An Improved Swarm Based Hybrid K-Means Clustering for Optimal Cluster Centers." Advances in Intelligent Systems and Computing Volume 339, 2015, pp. 545-553. Springer India, 2015, ISBN: 978-81-322-2250-7.DOI - 10.1007/978-81-322-2250-7_54, [SCOPUS]
  45. Nayak, Chinmaya Kumar, Satyabrata Das, and H. S. Behera. "Hierarchical Agents Based Fault-Tolerant and Congestion-Aware Routing for NoC." In Computational Intelligence in Data Mining-Volume 3, pp. 705-714. SpringerIndia, 2015, ISBN: 978-81-322-2201-9.[SCOPUS]
  46. Nayak, Janmenjoy, Matrupallab Nanda, Kamlesh Nayak, Bighnaraj Naik, and Himansu Sekhar Behera. "An improved firefly fuzzy c-means (FAFCM) algorithm for clustering real world data sets." In Advanced Computing, Networking and Informatics-Volume 1, pp. 339-348. Springer, Cham, 2014. [Springer][SCOPUS]
  47. Nayak, Janmenjoy, Matrupallab Nanda, KamleshNayak, BighnarajNaik, and H. S. Behera. "An improved firefly fuzzy c-means (FAFCM) Algorithm for clustering real world data sets." Smart Innovation, Systems and Technologies, Volume 27, 2014, pp 339-348. Springer, 2014,ISBN: 978-3-319-07353-8.DOI - 10.1007/978-3-319-07353-8_40.[SCOPUS]
  48. Janmenjoy, Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, and H. S. Behera. "GA Based Polynomial Neural Network for Data Classification." IEEE International Conference on Information Technology (ICIT), pp. 234-239, 2014. [SCOPUS]
  49. Janmenjoy, Nayak, D. P. Kanungo, BighnarajNaik, and H. S. Behera. "A higher order evolutionary Jordan Pi-Sigma Neural Network with gradient descent learning for classification." IEEE International Conference on High Performance Computing and Applications (ICHPCA) 2014, pp. 1-6., 2014, Bhubaneswar. [SCOPUS]
  50. Janmenjoy, Nayak, BighnarajNaik, and H. S. Behera. "A hybrid PSO-GA based Pi sigma neural network (PSNN) with standard back propagation gradient descent learning for classification." IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), pp. 878-885., 2014, Tamilnadu. [SCOPUS]
  51. N. K. S., Behera, and H. S. Behera. "Firefly based ridge polynomial neural network for classification." IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), pp. 1110-1113., 2014. [SCOPUS]
  52. T. Dash and H. S. Behera, “A Fuzzy MLP Approach for Non-linear Pattern Classification,” International Conference on Communication and Computing (ICC-2014, 2014.
  53. N.K.S. Behera and H. S. Behera, “Firefly based Ridge Polynomial Neural Network for Classification”, IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT-2014), ISBN No. 978-1-4799-3914-5/14, pp. 1110-1113, Publisher: IEEE Xplore, 2014.
  54. S. R. Sahu and H. S. Behera, “Classification using CRO based Functional Link Artificial Neural Network”, International Conference on Communication and Computing (ICCC 2014),
  55. Bighnaraj Naik, Janmenjoy Nayak and H. S. Behera, “A Novel FLANN with a Hybrid PSO and GA based Gradient Descent Learning for Classification”, 3rd International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA-2014), AISC Series,Springer, 2014.DOI - 10.1007/978-3-319-11933-5_84, [SCOPUS]
  56. S. C. Nayak, B. B. Misra and H. S. Behera, “Cooperative optimization for efficient financial time series forecasting,” 8th. International conference on computing for sustainable development, INDIACom-2014, IEEE, doi: 10.1109/IndiaCom.2014.6828114, 2014. [SCOPUS]
  57. S. C. Nayak, B. B. Misra and H. S. Behera, “An evolutionary neural network model for financial time series forecasting”, AICTE sponsored national conference on soft computing: A panorama of possibilities, NIIS, Bhubaneswar, June 2013.
  58. S. C. Nayak, B. B. Misra and H. S. Behera, “Training radial basis function networks with GA for classification”, National seminar on cloud computing : technology for tomorrow, Srusti Academy of Management, Bhubaneswar, May 2013.
  59. S. C. Nayak, B. B. Misra and H. S. Behera, “Chemical Reaction Optimization: An Application to Stock Market Trend Prediction”, Digital Digest, The Science & technology magazine of Silicon Institute of Technology, 2013.
  60. S. C. Nayak, B. B. Misra and H. S. Behera, “Index Prediction Using Neuro-Genetic Hybrid Networks: A Comparative Analysis of Performance, ” IEEE Conference on Computing, Communication and Application, (ICCCA 2012), doi: 10.1109/ICCCA.2012.6179215, 2012. [SCOPUS]
  61. S. C. Nayak, B. B. Misra and H. S. Behera, “Evaluation of Normalization Methods on Neuro-Genetic Models for Stock Index Forecasting,” IEEE World Congress on Information and Communication Technologies, (WICT 2012), doi: 10.1109/WICT.2012.6409147, 2012. [SCOPUS]
  62. S. C. Nayak , B. B. Misra and H. S. Behera, “Hybridizing chemical reaction optimization and artificial neural network for stock future index forecasting,” IEEE International conference on emerging trends and applications in computer science, doi: 10.1109/ICETACS.2013.6691409,2012. [SCOPUS]
  63. H. S. Behera and R. Mohanty, et.al. "An Experimental Study of Hybrid Rough Set Particle Swarm Algorithm for Image Pixel Classification”, Proceeding of the International Conference on Information Science and Applications, ICISA-2010, pp 49-53, 2010. [SCOPUS]
  64. R.Mohanty, H.S.Behera and KhusbuPatwari et.al. “Design and Performance Evaluation of a New Proposed Shortest Remaining Burst Round Robin (SRBRR) Scheduling Algorithm”, Proceeding of the International Symposium on Computer Engineering and Technology, ISCET-2010, pp 126-131, 6th February, 2010.
  65. R. Mohanty, H.S.Behera and B.Nayak et.al. “Comparative Performance Analysis of Proposed Variants of List Accessing Algorithms Using Centralized Cost Model with Doubly Linked List”, International Conference on Methods and Models in Computer Science, IEEE Explore, pp 59, ISBN: 978-1-4244-9701-0, 13-14 Dec, 2010. [SCOPUS]
  66. Swatee Rekha Mohanty, D.P.Mohapatra and H. S. Behera “A Novel Approach for Static Slicing of Inter-Procedural Programs” has been accepted in the 9th International Conference on Information Technology (ICIT-2006) at Bhubaneswar 18th -21st Dec 2006. [SCOPUS]
  67. D. P. Mohapatra and H.S.Behera, “Software: An Essential Asset”, Proceedings of International Conference on “Software Engineering: Emerging Paradigms”, CSI Trivandrum chapter, 01-03 March 2001.
  68. D. P. Mohapatra, H.S.Behera and R. Baliar Singh, “Restoration & Deblurring of Images Using Gabor Filter”, Proceedings of International Conference on Bio Medical Engineering, Anna University Chennai, pp 281-285, 24-26 Jan 01 .
NIL
  1. Nayak, S. C., Misra, B. B., & Behera, H. S. . Adaptive Hybrid Higher Order Neural Networks for Prediction of Stock Market Behavior. Applied Artificial Higher Order Neural Networks for Control and Recognition, IGI Global, 174, 2016.[book chapter]
  2. Nayak, S. C., Misra, B. B., & Behera, H. S. Improving Performance of Higher Order Neural Network using Artificial Chemical Reaction Optimization: A Case Study on Stock Market Forecasting. Applied Artificial Higher Order Neural Networks for Control and Recognition, IGI Global, 253, 2016. .[book chapter]
  3. H.S. Behera, JanmenjoyNayak, H. Pattnayak, A text book on “Formal Languages and Automata Theory”,Vikash Publications, Pvt. Ltd., India, ISBN No:9789325978591, 2014.
  1. Convenor, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2014), held during 19th and 20th DEC 2014 at VSSUT, Burla, Proceeding of the Conference is published in the Book Series of Smart Innovation Systems and Technologies 31, Springer, ISSN: 2190-3018 http://www.springer.com/series/8767,
  2. Chairman, Organizing Committee, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2017), held during at VSSUT, Burla, Advances in Intelligent Systems and Computing, Springer.
  3. Chairman, Organizing Committee, International Conference on Computational Intelligence in Data Mining-(ICCIDM-2018), held during at VSSUT, Burla, Advances in Intelligent Systems and Computing, Springer
  4. Coordinator of the workshop on HACKTRACK (Ethical Hacking and Information Security) held during 19th and 20th Jan 2013 in VSSUT, Burla, with a collaboration with TeckDefence Pvt. Ltd and Entrepreneurships cell of IIT, Delhi, India
  5. Coordinator, Faculty Development Programme on “Recent Trends in Advanced Computing” (RTAC-2013) conducted at VSSUT, Burla, Sambalpur, during April 29-May 11, 2013” (Two Weeks) with a sanction budget of 5 Lakhs (Five Lakhs) Sponsored by AICTE, Govt. of India, vide AICTE sanctioned letter No. File No. 1-7/AICTE/RIFD/FDP/P(1)-52/2012-13, dated 12/12/2012 and 25/02/2013
  1. Member, Board of Study, Conducting Board, and Moderation Board for B.Tech, M.Tech. in Information Technology, VSSUT, Burla
  2. Professor I/C University Canteen (2011- till date), VSSUT, Burla, Odisha, India
  3. Member Departmental Academic Committee (DAC) ,Information Technology, VSSUT, Burla, Odisha, India
  4. Member Departmental Research Committee (DRC), Department of CSE and IT and MCA, VSSUT, Burla, Odisha, India
  5. Professor I/C Central Library, VSSUT, Burla (2016 – 2017), VSSUT, Burla, Odisha, India
  6. Professor I/C, University Automation System(UAS),VSSUT
  • ADVISORY BOARD MEMBER
    • Chief Technical Advisory Board Member, International Journal of Research in Advance Technology in Engineering (IJRATE)
    • Advisory Board Member, The World Academy of Research in Science & Engineering (WARSE)
  • DECISION MAKING
    • Member, Conducting Board, BCA, PGDCA, MCA, Directorate of Distance Education, Sambalpur University, Odisha
    • Member, Conducting Board, BCA, PGDCA, MCA, Directorate of Distance Education, Sambalpur University, Odisha
    • Member, Board of study, BCA, PGDCA, MCA, Directorate of Distance Education, Sambalpur University, Odisha
    • Member, Board of study B.Tech, MCA and M.Tech& PhD. progrmme VSSUT, Burla
    • Member, Conducting Board, B.Tech, MCA and M.Tech, PhD. progrmme VSSUT, Burla
    • Member, Moderation Board B.Tech, MCA and M.Techprogrmme VSSUT, Burla
    • Member, Departmental Academic Committee(DAC), CSE&IT, VSSUT, Burla
    • Doctoral Scrutiny Committee (DSC) member of various PhD Scholars of VSSUT, Burla, Odisha, India.
    • Member, Academic Council, VSSUT, Burla, Odisha, India.
    • Resource person for UGC Refresher Courses, Sambalpur University
    • Examiner and Question setters for B.Tech, M.tech. Phd programme in CSE/IT, VSSUT, Burla
  • CHIEF TECHNICAL/SCIENTIFIC/EXPERTSCOMMITTEE
    • Expert Committee for Accreditations of the Study Centres to offer “O”, “A”, “B” & “C” Level Courses of NIELIT (DOEACC), Govt. of India
    • Observer for O & A Level courses, NIELIT (DOEACC), Govt. of India
  • EDITORIALBOARD MEMBER
    • International Journal of Autonomic Computing (IJAC), Inderscience Publishers
    • International Journal of Rough Set Theory & Data Analysis (IJSRDA), IGI Global.
    • International Journal of Swarm Intelligence (IJSI), Inderscience Publishers
    • International Journal of Data Science (IJDS), Inderscience Publishers
    • International Journal of Intelligent System Design & Computing (IJISDC), Inderscience Publishers
    • Section Editor for the Book Series ofComputational Intelligence in Data Mining Volume 1, Volume 2 and Volume 3, Smart Innovation, Systems and Technologies, (SIST Series), Springer-Verlag, Germany – 2014
    • Section Editor for the Book Series ofComputational Intelligence in Data Mining Volume 1 and Volume 2 , Advances in Intelligent System Computing, (AISC Series), Springer-Verlag, Germany– 2015
    • Section Editor for the Book Series ofComputational Intelligence in Data Mining Volume 1,Advances in Intelligent System Computing, (AISC Series), Springer-Verlag, Germany, 2016
    • Author of the book “Formal Language and Automata Theory”-VIKAS Publishing Pvt. Ltd. ISBN: 9789325978591, 2014
    • International Journal of Soft Computing & Engineering (IJSCE), ISSN: 2231-2307(On Line)
    • Journal of Current Trends in Information Technology (JCTIT), STM (Science, Technology & Management) Journals
    • Journal of Operating Systems Development and Trends (JoOSDT)STM (Science, Technology & Management) Journals
    • International Journal of Bio-Medical Informatics and e-Health (IJBMIeH)ISSN 2321 – 9017
    • Guest Editor, Special Issue on: "Recent Advances in Machine Learning and Data Mining", International Journal of Data Sciences (IJDST), Inderscience, 2015
    • Guest Editor, Special Issue on: "Data Mining and its Applications in Networking", International Journal of Computational Science and Engineering, (IJCSE) Inderscience,2015
    • Guest Editor, Special Issue on: “Recent Advances in Data Analysis with Computational Intelligence Techniques”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI-Global, ISSN: 2334-4598, 2016.
    • Guest Editor, Special Issue on: “ New Challenges in Intelligent Computing and Applications ”,International Journal of Computational Systems Engineering (IJCSYSE) , Inderscience, ISSN online: 2046-3405, ISSN print: 2046-3391.
  • PROGRAM COMMITTEE MEMBER
    • 3rd International Conference on Computing, Engineering and Technologies (ICCET 2014), Mysore, Karnataka, India, July 18, 2016 http://www.warse.org/conference/iccet2016/
    • 3rd International Conference on Advanced Computing, Engineering & Technology (ICACET 2014), Kuala Lumpur, Malaysia India, August 6,2016 http://www.warse.org/conference/icacet2016/
    • 4th International Conference on Advanced Computing, Engineering & Technology (ICACET 2016), Bangalore, India, August 6,2016 http://www.warse.org/conference/icacet2016/
    • International Conference on Computer Science, Engineering and Technologies (ICCSET 2016), Bangkok, Thailand September 5-6, 2016http://www.warse.org/conference/iccset2016/
    • 5th  International Conference on Computing, Engineering and InformationTechnology (ICCEIT 2016), Chennai, India October 8, 2016 http://www.warse.org/conference/icceit52016/
    • 2nd  International Conference on Advances in Computer Science, Engineering and Communications( ICACEC 2017) Hong Kong,  January 16-17, 2017 http://www.warse.org/conference/2icacec2016/
    • International Conference on Innovation in Computer Science and Engineering(ICiCSE 2017), University Putra Malaysia Serdang, Selangor, Malaysia, 30-31 January, 2017 http://www.warse.org/conference/icicse2016/
    • International Conference on Computer Science and Information Technology (ICCSIT 2015) organized by The World Academy of Research in Science and Engineering(WARSE), PARKROYAL on Kitchener Road, Singapore, February 9, 2015 (http://warse.org/conference/iccsit2015/iccsit2015-home.html)
    • International Conference on Communication, Electrical, Electronics and Mechanical Engineering (ICCEEM 2015), organized by The World Academy of Research in Science and Engineering(WARSE) PARKROYAL on Kitchener Road, Singapore , February 9, 2015, http://warse.org/conference/icceem2015/icceem2015-home.php)
    • International Conference on Electrical, Electronics, Mechanical and Computer Engineering (ICEEMC 2015), organized by The World Academy of Research in Science and Engineering(WARSE)  held in GLM Meridian, Chennai, India during Jan 27, 2015 (http://warse.org/conference/iceemc2015/iceemc2015-home.html)
    • International Conference on Computer Applications and Advanced Communications (ICCAAC 2014) organized by The World Academy of Research in Science and Engineering(WARSE) will be held in The Golkonda Hotel, Hyderabad, India during December 08, 2014.(http://warse.org/conference/iccaac2014/iccaac2014-home.htm)
    • International Conference on  Emerging Trends in Computer Science and Engineering (ICETCSE 2014) October 20, 2014 Hotel sandesh The Prince, Mysore, India
    • International Conference on Computer Science and Information Engineering (ICCSIE 2015), organized by The World Academy of Research in Science and Engineering(WARSE) will be held in The Solitaire Hotel , Bangalore, India during January 16, 2015. (http://warse.org/conference/iccsie2015/iccsie2015-home.html)
    • The International Conference on Computing, Engineering and Emerging Technologies (ICCEET 2016) will be held in Crowne Plaza Hotel, Dubai, UAE, during April 08-09, 2016 http://www.warse.org/conference/icceet2016
    • International Conference on Data Mining, Data Science and Big Data (ICDDBD 2016) will be held in Royal Orchid Sheraton Hotel & Towers, Bangkok, Thailand, during April 19 - 20, 2016, http://www.warse.org/conference/icddbd2015/index.php
    • International Conference on Technological Advances in Electrical, Electronics, Communications Engineering (ICTAEEC 2016) will be held in Royal Orchid Sheraton Hotel & Towers, Bangkok, Thailand, during April 19 - 20, 2016 being organized by The World Academy of Research in Science and Engineering (WARSE),   http://www.warse.org/conference/ictaeec2015/index.php
    • International Conference on Electrical, Electronics, Communication Technologies and their Applications (ICEECA 2016) held in Sheraton Imperial Kuala Lumpur Hotel, Kuala Lumpur, Malaysia during April 14-15, 2016, http://www.warse.org/conference/iceeca2015/index.php
    • International Conference on Computing, Engineering and Communication Technologies (ICCECT 2016) will be held in The Savera , Chennai, India, Feb 29, 2016 , http://warse.org/conference/iccect2015/iccect.html
    • International Conference on Computer Science and Information Engineering (ICCSIE 2016) will be held in The Savera, Chennai, India, during February 29, 2016,  http://warse.org/conference/iccsie2015-4th/iccsie2015-home.html
    • International Conference on Computing, Engineering and Information Technology (ICCEIT 2016) will be held in The Solitaire Hotel, Bangalore, India  on February 16, 2016 http://www.warse.org/conference/icceit2016/index.php)
    • 3rd International Conference on Engineering, Computing and Technologies (ICECT 2016) will be held in Hyderabad Marriot Hotel & Convention Centre, Hyderabad, India, on February 01, 2016. being organized by The World Academy of Research in Science and Engineering(WARSE), http://www.warse.org/conference/icect2016/index.php
    • 4th International Conference on Communications, Electrical, Electronics and Computer Engineering (ICEEC 2016) will be held in The Dunes, Cochin, India  on January 14, 2016. http://www.warse.org/conference/iceec2016/index.php
  • REVIEWER (Conferences/Journals/Books)
    • International Journal of Rough Set Theory & Data Analysis (IJSRDA), IGI Global.
    • International Journal of Computational Systems Engineering (IJCSysE), Inderscience Publishers
    • International Journal of Swarm Intelligence (IJSI), Inderscience Publishers
    • International Journal of Data Science (IJDS), Inderscience Publishers
    • International Journal of Intelligent System Design & Computing (IJISDC), Inderscience Publishers
    • International Conference on Computer and Communication Technology (ICCCT) 2012 organized by Computer Science and Engineering Department M.N.N.I.T., Allahabad (U.P.), INDIA
    • Reviewer of the Book “Advanced Operating System”Vikas Publishing House Pvt. Ltd. New Delhi,ISBN-9789325969742 for MCA  4th Sem paper II Courses of Sambalpur University, Jyotivihar, Burla, OdishaVide Letter No.286/DDCE dated 28/02/2013
    • Reviewer of the Book “Computer Organizationand Architecture”Vikas Publishing House Pvt. Ltd. New Delhi,ISBN-9789325960800 for Sambalpur University, Jyotivihar, Burla, OdishaVide Letter No.568/DDCE dated 17/04/2012.
    • Reviewer of the Book “Relational Database Management System Using Oracle” Vikas Publishing House Pvt. Ltd. New Delhi, ISBN-9789325969773 for MCA 4th Sem Paper V Courses of Sambalpur University,Jyotivihar, Burla, OdishaVide Letter No.267/DDCE dated 28/02/2013
  • MISCELLANEOUS
    • Vice-President SSG & Students Aid Fund Society(2006-2007), VSSUT, Burla, Odisha, India.
    • Member, Coordination Committee, T& P Department, VSS University of Technology, Burla, Orissa.
    • Member, Coordination Committee, Central networking and Internet Facility VSS University of Technology, Burla.
    • Member, Quarter Maintenance Committee, VSS University of Technology, Burla, Orissa.
    • Member of the Computer awareness Committee, to train all non teachers , for the Computerization of all the sections/ departments of the UCE Burla, Orissa
    • Member, Technical Executive  Committee, for college campus internet facility and automation, UCE, Burla, Orissa
    • Co-Vice President Student Commonroom, UCE, Burla, Odisha, India.
    • Subject Experts For the post of Junior Instructor of Computer Science Engg. And Information Technology, VSSUT,Burla
    • Observer for written, Lab Computer PracticalTest for Non Teaching Post of VSSUT,Burla
    • Administrative officers,Internal Quality Assurance Cell (IQAC), VSSUT,Burla
    • Subject Experts For Computer Science, Gangadhar Meher University,Sambalpur,Odisha
    • Session Chair, 3rd International Conference on Computational Intelligence in Data Mining (ICCIDM-2016),Published by AISC, Springer-Verlag, Germany at KIIT University, Bhubaneswar.
    • Session Chair, 3rd International Conference on Computational Intelligence in Data Mining (ICCIDM-2015),Published by AISC, Springer-Verlag, Germany at Bhubaneswar.
Present Address : 
Qr No-3R/1,Professors Colony,
VSSUT Burla, Sambalpur, Odisha-768018,
hsbehera.vssut@gmail.com
  Permanent Address : 
Cuttack, Odisha-754291, India