Satchidananda Dehuri

About

Satchidananda Dehuri is working as a Professor in the Department of Computer Science (erstwhile Department of Information and Communication Technology, Fakir Mohan University, Balasore, Odisha, India since 2013. He received his M.Tech. and Ph. D. degrees in Computer Science from Utkal University, Vani Vihar, Odisha in 2001 and 2006, respectively. He visited as a BOYSCAST Fellow to the Soft Computing Laboratory, Yonsei University, Seoul, South Korea under the BOYSCAST Fellowship Program of DST, Govt. of India in 2008. In 2010 he received Young Scientist Award in Engineering and Technology for the year 2008 from Odisha Vigyan Academy, Department of Science and Technology, Govt. of Odisha. In 2021 he received TARE Fellowship from SERB, DST, Govt. of India for three years to carry out intensive research on Higher Order Neural Networks for Big Data Analysis at host Institute, ISI Kolkata and Parent Institute, Fakir Mohan University, Balasore. He was at the Center for Theoretical Studies, Indian Institute of Technology Kharagpur as a Visiting Scholar in 2002. During May-June 2006 he was a Visiting Scientist at the Center for Soft Computing Research, Indian Statistical Institute, Kolkata. His research interests include Evolutionary Computation, Neural Networks, Pattern Recognition, Data Warehousing and Mining, Object Oriented Programming and its Applications and Bioinformatics. He has already published about 200 research papers in reputed journals and referred conferences, has published five text books for undergraduate and Post graduate students and edited more than ten books of contemporary relevance. Under his direct supervision, 19 Ph.D. scholars have been successfully awarded and one more is pursuing her Ph.D. work. In addition, he has successfully guided two post doctoral scholars during the stay at Ajou University, South Korea as an Associate Professor in the Department of System Engineering for 02 years. He has completed three different research projects obtained from DST, UGC, and DRDO. His h-index as per Google Scholar is more than 25. As a part of Academic Collaboration, he has visited Ireland, New Zealand, Hong Kong, France, and Nepal.

Employment

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Education

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Publications (139)

• Ant Miner
  International Journal of Artificial Intelligence and Machine Learning 2020 DOI: 10.4018/IJAIML.2020010104
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• A review and empirical analysis of neural networks based exchange rate prediction
  Intelligent Decision Technologies 2019 DOI: 10.3233/IDT-180346
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• An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset
  International Journal on Artificial Intelligence Tools 2019 DOI: 10.1142/S0218213019500131
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• An experimental study of filter bank approach and biogeography-based optimized ANN in fingerprint classification
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-0776-8_21
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• Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features
  Applied Computing and Informatics 2019 DOI: 10.1016/j.aci.2019.03.001
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• Fingerprint classification by filter bank approach using evolutionary ANN
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-0617-4_34
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• Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition
  Multimedia Tools and Applications 2019 DOI: 10.1007/s11042-018-6489-0
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• Improving software reliability prediction accuracy using CRO-Based FLANN
  Lecture Notes in Networks and Systems 2019 DOI: 10.1007/978-981-10-8201-6_24
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• Preface
  Studies in Computational Intelligence 2019
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• Usage of deep learning in epileptic seizure detection through EEG signal
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-0776-8_20
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