Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Applications, Veer Surendra Sai University of Technology, Burla, Odisha, India. He received his Doctoral degree from the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India, Master degree from Institute of Technical Education and Research, SOA University, Bhubaneswar, Odisha, India and Bachelor degree from National Institute of Science and Technology, Berhampur, Odisha, India. He has published more than 50 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He has more than eight years of teaching experience in the field of Computer Science and Information Technology. He is the life member of International Association of Engineers (Hongkong). His area of interest includes Data Mining, Soft Computing, etc. He is the recipient of “Young Faculty in Engineering” award for the year 2017 from Centre of Advance Research and Design, VIFA-2017, Chennai, India, for exceptional academic records and research excellence in the area of Computer Science and Engineering. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as Swarm and Evolutionary Computation, Elsevier, Journal of King Saud University, Elsevier, International Journal of Computational System Engineering, Inderscience, International Journal of Swarm Intelligence, Inderscience, International Journal of Computational Science and Engineering, Inderscience, International Journal of Data Science, Inderscience, etc. Currently, He is serving as Editor of the book entitled “Information Security in Biomedical Signal Processing”, Publisher: IGI-Global, USA. Also He is the Guest Editor of International Journal of Computational Intelligence Studies, Inderscience Publication, and International Journal of Data Science and Analytics, Springer.

Naik, B., Nayak, J., Behera, H. S., & Abraham, A. (2016). A self adaptive harmony search based functional link higher order ANN for non-linear data classification. Neurocomputing, 179, 69-87.

Nayak, J., Naik, B., Behera, H. S., & Abraham, A. (2017). Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis. Expert Systems with Applications, 79, 282-295.

Nayak, J., Naik, B., Behera, H. S., & Abraham, A. Elitist teaching–learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis. Neural Computing and Applications, 1-24.

Naik, B., Nayak, J., & Behera, H. S. (2016). 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.

Naik, B., Nayak, J., & Behera, H. S. (2016). A global-best harmony search based gradient descent learning FLANN (GbHS-GDL-FLANN) for data classification. Egyptian Informatics Journal, 17(1), 57-87.

1. Convenor of International Conference ICCIDM-2017 to be held on 11th – 12th November, 2017, at VSSUT, Burla
2. Publicity Chair in International Conference on Computational Intelligence in Data Mining-2014 (Springer),20th Dec 2014 to 21st Dec 2014, VSSUT, Burla.
3. 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.

4. Guest Editor of International Journal of Computational Intelligence Studies, Inderscience Publication, for the Special Issue on: "Advances and Challenges in Nature Inspired Optimisations"
   

5. Guest Editor of International Journal of Data Science and Analytics, Springer Publication, for Special Issue on “Computational Intelligence for Data Analytics”.

6. Editor of the book entitle “Information Security in Biomedical Signal Processing”, Publisher: IGI-Global, USA