Data Mining, Machine Learning, Soft Computing

13 years

Machine Learning, Data Mining, Soft Computing

1. “Young Faculty in Engineering” Award (Nomination Code FA17ENNC1643) for exceptional academic records and research excellence in the area of Computer Science and Engineering, Sponsoring Agency- Centre of Advance Research and Design, VIFA-2017 (Venus International Faculty Award - 2017), Chennai, India, Date - 08/July/2017

1. Research project from SERB, Department of Science & Technology (DST), New Delhi Govt. of India, Grant Amount - Rs. 19,06,000/- (initial allotment). (Status: On-going)

International Publications

1. Pelusi, Danilo, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, and Ajith Abraham. "Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters." Expert Systems with Applications 102 (2018): 234-244. (Elsevier) (SCI)
2. Nayak, Janmenjoy, Bighnaraj Naik, Himansu Sekhar Behera, and Ajith Abraham. "Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis." Expert Systems with Applications 79 (2017): 282-295. (Elsevier) (SCI)
3. Nayak, Janmenjoy, Bighnaraj Naik, H. S. Behera, and Ajith Abraham. "Elitist teaching–learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis." Neural Computing and Applications: 1-24. (Springer) (SCI)
4. Naik, Bighnaraj, Janmenjoy Nayak, Himansu Sekhar Behera, and Ajith Abraham. "A self adaptive harmony search based functional link higher order ANN for non-linear data classification." Neurocomputing 179 (2016): 69-87. (Elsevier) (SCI)
5. Nayak, Janmenjoy, and Bighnaraj Naik. "A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification." Journal of Classification (2018): 1-38. (SCI)
6. Nayak, Janmenjoy, Bighnaraj Naik, D. P. Kanungo, and H. S. Behera. "A hybrid elicit teaching learning based optimization with fuzzy c-means (ETLBO-FCM) algorithm for data clustering." Ain Shams Engineering Journal (2016). (Elsevier)
7. Naik, Bighnaraj, 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, Volume 30, Issue 1, Pages 120-139 (January 2018). (Elsevier)
8. Naik, Bighnaraj, Janmenjoy Nayak, and Himansu Sekhar Behera. "A global-best harmony search based gradient descent learning FLANN (GbHS-GDL-FLANN) for data classification." Egyptian Informatics Journal 17, no. 1 (2016): 57-87. (Elsevier)
9. Nayak, Janmenjoy, 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 19, no. 1 (2016): 197-211. (Elsevier)
10. Nayak, Janmenjoy, 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 6, no. 3 (2015): 1069-1091. (Elsevier)
11. Nayak, Janmenjoy, Bighnaraj Naik, and Himansu Sekhar Behera. "Solving nonlinear classification problems with black hole optimisation and higher order Jordan Pi-sigma neural network: a novel approach." International Journal of Computational Systems Engineering 2, no. 4 (2016): 236-251. (Inderscience)
12. Naik, Bighnaraj, Janmenjoy Nayak, Himansu Sekhar Behera, and Ajith Abraham. "An improved harmony search-based functional link higher order ANN for nonlinear data classification." International Journal of Intelligent Systems Design and Computing 1, no. 3-4 (2017): 286-318. (Inderscience)
13. Naik, Bighnaraj, Janmenjoy Nayak, and Himansu Sekhar Behera. "An efficient FLANN model with CRO-based gradient descent learning for classification." International Journal of Business Information Systems 21, no. 1 (2016): 73-116. (Inderscience)
14. Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "FLANN+ BHO: A Novel Approach for Handling Nonlinearity in System Identification." International Journal of Rough Sets and Data Analysis (IJRSDA) 5, no. 1 (2018): 13-33. (IGI Global)
15. Kanungo, D. P., Janmenjoy Nayak, Bighnaraj Naik, and Himansu Sekhar Behera. "Hybrid clustering using elitist teaching learning-based optimization: an improved hybrid approach of TLBO." International Journal of Rough Sets and Data Analysis (IJRSDA) 3, no. 1 (2016): 1-19. (IGI Global)
16. A. Mishra, S.K. Srichandan, Bighnaraj Naik. “Missing Value Imputation Using ANN Optimized by Genetic Algorithm”. International Journal of Applied Industrial Engineering, IGI Global (Accepted, In Press)
17. Nayak, Janmenjoy, Bighnaraj Naik, and H. Behera. "A comprehensive survey on support vector machine in data mining tasks: applications & challenges." International Journal of Database Theory and Application 8, no. 1 (2015): 169-186.
18. Das, Himansu, Bighnaraj Naik, Bibudendu Pati, and Chhabi Rani Panigrahi. "A survey on virtual sensor networks framework." International Journal of Grid Distribution Computing 7, no. 5 (2014): 121-130. (SCIE)
19. Mahapatra, Sarita, Alok Kumar Jagadev, and Bighnaraj Naik. "Performance Evaluation of PSO Based Classifier for Classification of Multidimensional Data with Variation of PSO Parameters in Knowledge Discovery Database." International Journal of Advanced Science and Technology 34 (2011): 27-44.

International Conferences

1. Nayak, Janmenjoy, Sura Paparao, Bighnaraj Naik, N. Seetayya, P. Pradeep, H. S. Behera, and Danilo Pelusi. "Chemical Reaction Optimization: A Survey with Application and Challenges." In Soft Computing in Data Analytics, pp. 507-524. Springer, Singapore, 2019.
2. Mishra, Debasmita, and Bighnaraj Naik. "Detecting Intrusive Behaviors using Swarm-based Fuzzy Clustering Approach." In Soft Computing in Data Analytics, pp. 837-846. Springer, Singapore, 2019.
3. Nayak, Janmenjoy, Bighnaraj Naik, G. T. Chandrasekhar, and H. S. Behera. "A Survey on Teaching–Learning-Based Optimization Algorithm: Short Journey from 2011 to 2017." In Computational Intelligence in Data Mining, pp. 739-758. Springer, Singapore, 2019.
4. Behera, Dayal Kumar, Madhabananda Das, Subhra Swetanisha, and Bighnaraj Naik. "Collaborative Filtering Using Restricted Boltzmann Machine and Fuzzy C-means." In Progress in Computing, Analytics and Networking, pp. 723-731. Springer, Singapore, 2018.
5. 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.
6. Naik, Bighnaraj, and Janmenjoy Nayak. "Crow Search Optimization-Based Hybrid Meta-heuristic for Classification: A Novel Approach." In Progress in Computing, Analytics and Networking, pp. 775-783. Springer, Singapore, 2018.
7. Naik, Bighnaraj, Debasmita Mishra, Janmenjoy Nayak, Danilo Pelusi, and Ajith Abraham. "Perturbation Based Efficient Crow Search Optimized FLANN for System Identification: A Novel Approach." In International Conference on Health Information Science, pp. 204-212. Springer, Cham, 2017.
8. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "Cluster Analysis Using Firefly-Based K-means Algorithm: A Combined Approach." In Computational Intelligence in Data Mining, pp. 55-64. Springer, Singapore, 2017.
9. Naik, Bighnaraj, Sarita Mahapatra, Janmenjoy Nayak, and H. S. Behera. "Fuzzy Clustering with Improved Swarm Optimization and Genetic Algorithm: Hybrid Approach." In Computational Intelligence in Data Mining, pp. 237-247. Springer, Singapore, 2017.
10. Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "A FLANN based non-linear system identification for classification and parameter optimization using tournament selective harmony search." In Computational Intelligence in Data Mining—Volume 2, pp. 267-283. Springer, New Delhi, 2016.
11. Kanungo, D. P., Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "Non-linear classification using higher order pi-sigma neural network and improved particle swarm optimization: an experimental analysis." In Computational Intelligence in Data Mining—Volume 2, pp. 507-518. Springer, New Delhi, 2016.
12. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "Optimizing a higher order neural network through teaching learning based optimization algorithm." In Computational Intelligence in Data Mining—Volume 1, pp. 57-71. Springer, New Delhi, 2016.
13. Nayak, Janmenjoy, 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. Springer, New Delhi, 2016.
14. Nayak, Janmenjoy, Bighnaraj Naik, D. P. Kanungo, and H. S. Behera. "An improved swarm based hybrid k-means clustering for optimal cluster centers." In Information Systems Design and Intelligent Applications, pp. 545-553. Springer, New Delhi, 2015.
15. Nayak, Janmenjoy, Bighnaraj Naik, 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. Springer, New Delhi, 2015.
16. Prasad, Chanda, S. Mohanty, Bighnaraj Naik, Janmenjoy Nayak, 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-Volume 1, pp. 517-527. Springer, New Delhi, 2015.
17. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "Fuzzy C-means (FCM) clustering algorithm: a decade review from 2000 to 2014." In Computational intelligence in data mining-volume 2, pp. 133-149. Springer, New Delhi, 2015.
18. Das, Himansu, Ajay Kumar Jena, Janmenjoy Nayak, Bighnaraj Naik, 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, New Delhi, 2015.
19. Naik, Bighnaraj, Janmenjoy Nayak, 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, New Delhi, 2015.
20. Kanungo, D. P., Bighnaraj Naik, Janmenjoy Nayak, Sarada Baboo, 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, New Delhi, 2015.
21. Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "A honey bee mating optimization based gradient descent learning–FLANN (HBMO-GDL-FLANN) for Classification." In Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2, pp. 211-220. Springer, Cham, 2015.
22. Naik, Bighnaraj, Janmenjoy Nayak, and Himansu Sekhar Behera. "A novel FLANN with a hybrid PSO and GA based gradient descent learning for classification." In Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, pp. 745-754. Springer, Cham, 2015.
23. Nayak, Janmenjoy, D. P. Kanungo, Bighnaraj Naik, and H. S. Behera. "A higher order evolutionary Jordan Pi-Sigma neural network with gradient descent learning for classification." In High Performance Computing and Applications (ICHPCA), 2014 International Conference on, pp. 1-6. IEEE, 2014.
24. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "A hybrid PSO-GA based Pi sigma neural network (PSNN) with standard back propagation gradient descent learning for classification." In Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on, pp. 878-885. IEEE, 2014.
25. 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.
26. Naik, Bighnaraj, Subhra Swetanisha, Dayal Kumar Behera, Sarita Mahapatra, and Bharat Kumar Padhi. "Cooperative swarm based clustering algorithm based on PSO and k-means to find optimal cluster centroids." In Computing and Communication Systems (NCCCS), 2012 National Conference on, pp. 1-5. IEEE, 2012.

1. Handbook of Research on Information Security in Biomedical Signal Processing (Advances in Information Security, Privacy, and Ethics), IGI Global; 1st edition (30 April 2018), Language: English, ISBN-10:1522551522, ISBN-13:978-1522551522.
2. Computational Intelligence in Data Mining (Advances in Intelligent Systems and Computing), Springer; 1st ed. 2019 edition (June 2018), Language: English, ISBN-10: 9811080542, ISBN-13: 978-9811080548.
3. Janmenjoy Nayak, Bighnaraj Naik, A. K. Jena, Rabindra K. Barik, and Himansu Das. "Nature Inspired Optimizations in Cloud Computing: Applications and Challenges." In Cloud Computing for Optimization: Foundations, Applications, and Challenges, pp. 1-26. Springer, Cham, 2018.
4. Janmenjoy Nayak, Bighnaraj Naik, A. K Jena, Rabindra K. Barik & Himansu Das (2018), “Nature Inspired Optimizations in Cloud Computing: Applications and Challenges”, Cloud Computing for Optimization: Foundations, Applications, and Challenges, Studies in Big Data, Volume 39, Springer International Publishing, pp 1-26, DOI : https://doi.org/10.1007/978-3-319-73676-1_1.
5. Bighnaraj Naik, Janmenjoy Nayak & H. S. Behera(2016), “A Hybrid Model of FLANN and Firefly Algorithm for Classification: Swarm Intelligence based Higher Order Neural Network Model for Supervised Machine Learning”, Book Title : Handbook of Research on Natural Computing for Optimization Problems, Series Title : Advances in Computational Intelligence and Robotics (ACIR), IGI-Global, pp 491-522. DOI: 10.4018/978-1-5225-0058-2.ch021, ISBN : 9781522500582.
6. Janmenjoy Nayak, Kanithi Vakula, Bighnaraj Naik, Byomakesha Dash, “ Kidney Inspired Algorithm and Fuzzy Clustering for Biomedical Data Analysis”, Book - Big Data Analytics for Intelligent Healthcare Management, Elsevier. (In Press)
7. Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, A. Vamsi Krishna, “A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Network”, Book - Nature Inspired Computation in Data Mining and Machine Learning, Series - Study in Computational Intelligence, Springer. (In Press)

1. Program Chair of International Conference on Computational Intelligence in Pattern Recognition (ICCIPR 2019), 19th – 20th January, 2019, at Indian Institute of Engineering Science and Technology (IIEST), Shibpur
2. Organizing Chair of International Conference ICCIDM-2018, 15th – 16th December, 2018, at VSSUT, Burla
3. Convenor of International Conference ICCIDM-2017, 11th – 12th November, 2017, at VSSUT, Burla
4. Program Committee member in International Conference on Computing Analytics and Networking (ICCAN - 2017), 16-17 Dec 2017 at KIIT University.
5. Session Chair in International Conference on Soft Computing in Data Analytics (ICSCDA-2018), 10-11 March 2018 at Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India.
6. Session Chair in International Conference on Computing Analytics and Networking (ICCAN - 2017), 16-17 Dec 2017 at KIIT University.
7. Publicity Chair in International Conference on Computational Intelligence in Data Mining-2014 (Springer), 20th Dec 2014 to 21st Dec 2014, VSSUT, Burla.
8. Session Chair in International Conference on Computational Intelligence in Data Mining-2015 (Springer),05th Dec 2015 to 06th Dec 2015, Roland Institute of Technology, Berhampur.
9. Member of Publicity Committee in Internet of Things devices and sensor networks – 2016 (Workshop), 22nd Oct 2016 to 23rd Oct 2016, VSSUT, Burla.
10. Session Chair in International Conference on Computational Intelligence in Data Mining-2016 (ICCIDM-2016) (Springer), 10th Dec 2016 to 11th Dec 2016, KIIT, Bhubaneswar.
11. Member of Publicity Committee in Ubiquitous Computing – 2016 (Workshop), 31st Jan 2016 to 31st Jan 2016, VSSUT, Burla.
12. Organizing Member in International Conference on Computational Intelligence in Data Mining-2014 (Springer), 20th Dec 2014 to 21st Dec 2014, VSSUT, Burla.

1. Departmental Academic Committee (DAC) member, Dept. of Computer Application, VSSUT, Burla, from 2017 to Continuing.
2. Conducting Board Member, Dept. of Computer Application, VSSUT, Burla, from 2017 to Continuing
3. Doctoral Research Committee (DRC) member VSSUT, Burla, from 2017 to Continuing.
4. NBA Nodal Officer (Coordinator) for Computer Application dept., VSSUT, Burla, from 2014 to Continued.
5. Screening team member (Expert) NIELIT, Govt. of India NIELIT, Govt. Of India from Dec-2015 to Jan-2016
6. NAAC working member for Computer Application dept., VSSUT, Burla from 2015 to Continued.
7. Committee member in Global Alumni meet of the University VSSUT, Burla, from 2013 to 2014.
8. Member in Anti-ragging Committee for the University, VSSUT, Burla, from 2015 to 2016.
9. Laboratory In-Charge in Computer Application dept., VSSUT, Burla, from Jan 2017 to Continued.
10. Faculty Advisor and organizing committee member in Dept. Tech. Fest. ADHRIT-2015 for Computer Application dept., VSSUT, Burla, from 2014 to 2015.
11. Faculty Advisor and organizing committee member in Dept. Tech. Fest. ADHRIT-2013 for Computer Application dept., VSSUT, Burla, from 2012 to 2013.
12. Member of University Canteen Committee, continuing from 2018

• Guest Editor of International Journal of Computational Intelligence Studies, Inderscience Publication, Switzerland
• Guest Editor of Neural Computing and Application (Journal), Springer Publication, USA
• Guest Editor of Int. J. of Swarm Intelligence, Inderscience Publication, Switzerland
• Guest Editor of Evolutionary Intelligence (Journal), Springer Publication, USA
• Guest Editor of International Journal of Computational Systems Engineering, Inderscience Publication, Switzerland
• Editor of AISC Springer Proceeding of International Conference ICCIDM-2017, at VSSUT, Burla, Odisha.
• Editor of AISC Springer Proceeding of International Conference ICCIDM-2018, at VSSUT, Burla, Odisha.
• Editor of AISC Springer Proceeding of International Conference CIPR-2018, at IIEST Sibpur, West Bengal.