Alok Kumar Jagadev
Professor
Dr. Alok Kumar Jagadev is a Professor at the School of Computer Engineering, KIIT Deemed to be University. He completed his M.Tech in Computer Science from Utkal University in 2001 and earned his Ph.D. in Wireless Adhoc Networks from Siksha ‘O’ Anusandhan University in 2011.
He has published over 65 research papers in reputed international journals and conferences. In addition, he has contributed three book chapters in internationally published edited volumes and co-authored four textbooks in computer science. He has also edited three books for publishers like IGI Global and Springer.
Dr. Jagadev has played an active role in organizing various international conferences and workshops. He has supervised more than twelve master's students and guided nine Ph.D. scholars. He holds three Indian patents and two international patents. His areas of research include Soft Computing, Data Mining, and Bioinformatics.
Ph.D.
Research Interests
1. Soft Computing 2. Data Mining and Bioinformatics
Memberships
IEEE member – 90861953 (2010). CSI life member - 01063190 (2010). Orissa Information Technology Society (OITS) life member L05/268 (2005). Membership of the International Association of Engineers (IAENG) – 102671 (2009).
Panday T.N., Jagadev A.K., Dehuri S., Cho S.B., “A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis”, Journal of King Saud University-Computer and Information Sciences, Elsevier. (2018),
Sahu B., Dehuri S., Jagadev A.K., "A Study on the Relevance of Feature Selection Methods in Microarray Data”, The Open Bioinformatics Journal, 11(2018), 117-139.
Panda S.K., Mohanty S.N., Jagadev A.K., "Applicability of End Use Method for Long Term Load Forecasting of Islands", International Journal on Future Revolution in Computer Science & Communication Engineering, Vol. 3, Issue-8, pp. 32-42, Aug 2017.
Sahu B., Dehuri S., Jagadev A.K., "Feature Selection Model Based on Clustering and Ranking Technique in pipeline for Microarray Data” Informatics in medicine unlocked, Elsevier, Vol. 9, pp. 107-122, Jul 2017.
Panda S.K., Mohanty S.N., Jagadev A.K., "Long Term Electrical Load Forecasting: An Empirical Study across Techniques and Domains", Indian Journal of Science and Technology, Vol. 10, No. 26, pp. 1-16, Jul 2017.
Sahu B., Dehuri S., Jagadev A.K., "An Ensemble Model using Genetic Algorithm for Feature Selection and rule mining using Apriori and FP-growth from Cancer Microarray Data”, International Journal of applied Engineering and Research, Research India Publication, Vol. 12, No. 10, pp. 2391-2408, 2017.
Satapathy S. K., Jagadev A. K., Dehuri S., “Weighted Majority Voting Based Ensemble of Classifiers Using Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure”, Informatica No.41, pp. 99-110 (2017).
Nayak S. K., Rout P. K., Jagadev A. K., "A cross mutation-based differential evolution for data clustering", International Journal of Data Mining, Modelling and Management, Inderscience, Vol. 9, No. 1, pp. 17-38 (2017).
Nayak S. K., Rout P. K., Jagadev A. K., Patnaik S., "A modified differential evolution-based fuzzy multi-objective approach for clustering", International Journal of Management and Decision Making, Inderscience, Vol. 16, No. 1, pp. 24-49 (2017).
Satapathy S. K., Dehuri S., Jagadev A. K., “ABC Optimized RBF Network for Classification of EEG Signal for Epileptic Seizure Identification”, Egyptian Informatics Journal, Elsevier Publications, Vol. 18, pp. 55-66 (2017).
Satapathy S. K., Dehuri S., Jagadev A. K., "EEG signal classification using PSO trained RBF neural network for epilepsy identification", Informatics in Medicine Unlocked, Vol. 6, pp. 1-11 (2017).